Author: Cecilia Smitt Meyer

The Future of Energy Infrastructure Resilience in Europe

Posted on June 19, 2023 | Policy Brief

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In the wake of Russia’s full-scale invasion of Ukraine, large parts of Europe have experienced skyrocketing energy prices and a threat of power shortages. The need to transition to low-carbon energy systems, driven by sustainability concerns, further adds to the pressure put on the European energy infrastructure. This year’s Energy Talk, organized by Stockholm Institute of Transition Economics, invited four experts to discuss the opportunities and challenges of energy infrastructure resilience in a foreseeable future.

Introduction

Energy infrastructure has an indispensable role in facilitating the functioning of modern society, and it must – today as well as in the future – be resilient enough to withstand various challenges. One of the most important challenges – the green transition: shifting towards economically sustainable growth by decarbonizing energy systems and steering away from fossil fuels – requires energy infrastructure to absorb subsequent shocks. Another, and preeminent challenge, is that, even when directly targeted and partly destroyed as in the ongoing Russian war on Ukraine, energy infrastructure should be withstanding. Additionally, energy infrastructure is increasingly subject to supply chain disruptions, energy costs increase or network congestions. How does our energy infrastructure react to these challenges? How do they affect its ability to facilitate the needs of the green transition? Which regulations/measures should be implemented to facilitate energy infrastructure resilience?

Stockholm Institute of Transition Economics (SITE) invited four speakers to the 2023 annual Energy Talk to discuss the future of Europe’s Energy infrastructure resilience. This brief summarizes the main points from the presentations and discussions.

Energy System Resilience in the Baltics

Ewa Lazarczyk, Associate Professor at Reykjavik University, addressed the question of energy system resilience, focusing on the Baltic States and their dependence on Russia and other neighbors to fulfill their electricity needs.

The Baltic States are not self-sufficient when it comes to electricity consumption. Since 2009, Lithuania has become a net importer of electricity, relying on external sources to fulfill its electricity demand. Similarly, Estonia experienced a shift towards becoming a net importer of electricity around 2019, following the closure of environmentally detrimental oil fueled power plants.

The Baltics are integrated with the Nordic market and are heavily dependent on electricity imports from Finland and Sweden. Additionally, all three Baltic States are part of the BRELL network – a grid linking the electricity systems of Belarus, Russia, Estonia, Latvia, and Lithuania – which provides stability for their electrical networks. As a result, despite the absence of commercial electricity trading between Estonia and Russia, and limited commercial trading between Russia and the other two Baltic states, the power flows between the Baltic States and Russia and Belarus still exist. This creates a noticeable dependency of the Baltics on Russia, and a potential threat, should Russia decide to disconnect the Baltics from BRELL before the planned separation in 2024/2025.

This dependency was put on trial when Russia on May 15th 2022 cut its electricity trade with Europe. On the one hand, the system proved to be relatively resilient as the cut did not lead to any blackouts in the Baltics. On the other hand, price volatility amplified in its main import partner countries, Sweden and Finland, and congestion increased as compared to 2021.

Figure 1. Price volatility in Sweden and Finland before and after the trade cut.

Notes: Sweden is split into four price zones, SE1-SE4. Finland is split into only one price zone. Source: Lazarczyk and Le Coq, 2023.

This increased price volatility and congestion following the Russian halt in electricity trade gives an indication that the Baltics and the Nordics are vulnerable to relatively small supply cuts even at the current demand levels.

In the future, electricity consumption is however expected to increase throughout the region as a result of the electrification of the economy (e.g., by 65 percent in 2050 in the Nordic region). This highlights the need to speed up investments into energy infrastructure of internal energy markets.

In summary; recent events have demonstrated a remarkable resilience of the Baltic State’s electricity system. While the disruption of commercial flows from Russia did have some impact on the region, overall, the outcome was positive. Nonetheless, it is important to note that the region relies heavily on electricity imports, and with increasing demand for power in both the Baltics and the neighboring areas, potential issues with supply security could arise if the demand in the Nordics cannot be met through increased production. The risk of an early disconnection from the BRELL network further amplifies this concern. However, the case of Ukraine – which managed to abruptly disconnect from Russian electricity networks – serves as an example that expediting the process of establishing new connections is feasible, although not risk free.

The Ukrainian Energy Sector and the Immediate Threat from Russia

While the Baltics are facing the effects from the Russian halt in electricity trade and the threat of a potential premature disconnection from BRELL, Ukraine’s energy networks are at the same time experiencing the direct aggression from Russia.

Yuliya Markuts, Head of the Center of Public Finance and Governance at the Kyiv School of Economics (KSE), and Igor Piddubnyi, Analyst on Energy Sector Damages and Losses and Researcher at the Center for Food and Land Use Research at KSE, both gave insight into the tremendous damages to the Ukrainian energy system from Russian attacks, the short-term solutions to cope with the damage, as well as the long-term implications and reconstruction perspectives.

Since the invasion, about 50 percent of the energy infrastructure has been damaged by shelling. In addition, several power plants are under Russian control or located in Russian occupied territories. As of February 2023, nearly 16 GW of installed capacities of power plants remained in Russian control, equivalent of the peak demand. Apart from the damages to the producing side, transmission and distribution facilities have also been severely affected, as well as oil storage facilities. In April 2023, the damages to Ukraine’s energy infrastructure were estimated to amount to $8.3 billion, almost 6 percent of the total estimated direct damages from the war.

While the damages are massive, the population did not experience complete blackouts, and the Ukrainian energy system did not collapse. This is partly due to diesel-driven generators substituting much of the damaged electricity generation and partly due to a fall in demand of about 30-35 percent in 2022, mainly driven by decreased industry demand.

In the short term, Ukraine is likely to continue to face Russian attacks. Its top energy priorities would thus be to restore damaged facilities and infrastructure like heating and clean water, increase the stocks of fuel, gas, and coal, and to try to liberate occupied areas and facilities. Another vital aspect of the Ukrainian energy infrastructure and its resilience towards the Russian goal of “freezing” the country relates to energy efficiency. Ukraine’s energy efficiency has been relatively low, with the highest rate of electricity losses in Europe, and the numbers are also high for gas supply and district heating. Here, minor changes such as light bulb switching, can have great impacts. Additionally, solar panels – especially those that can also store energy – can help alleviate the acute pressure on the transmission grid. Other vital measures involve continued donations from Ukraine’s partners, sustained efforts from energy workers – at the risk of their lives – and persistent successful deterrence of cyber-attacks currently targeting the country.

Achieving a greener energy system is currently challenging (if not nearly impossible) due to the use of diesel-driven generators, the attacks on the energy system, and the fight for control over nuclear power plants such as Zaporizhzhia, which since March 2022 is under the control of Russian forces. Damages to renewable energy production further exacerbate these difficulties.

Thus, it is crucial to ensure that the planning and reconstruction of Ukraine’s energy sector is done in accordance with the European Green Deal. By 2030, the country should have at least 25 percent renewables in its energy mix, which would require substantial installations of at least 13 GW of wind, solar, small hydro and biogas capacities. In addition, transition entails decommissioning old coal power plants to run on natural or biogas instead of coal.

While this is a tall task, investments targeted to the energy system are not only essential for Ukraine’s population to sustain through the 2023/2024 winter – but also to facilitate the green transition in Europe. The potential for export of biomethane, green hydrogen, and nuclear power from Ukraine to Europe is considerable. As Europe’s biofuel demand is expected to increase by 63 percent while Ukrainian grain exports are still proving to be challenging, biofuel production for export on the European market is a particularly likely future scenario for the Ukrainian energy market.

In summary; the Ukrainian energy sector has done remarkably well, considering the impact of the damages from the Russian aggression. As Ukrainian short-term energy priorities lie in facilitating quick and efficient responses to infrastructural damages, current measures may not be particularly environmentally friendly. However, the longer-term reconstruction of Ukraine’s energy sector has great potential for being in line with the green transition objectives.

Energy System’s Resilience in the Green Transition

Mikael Toll, Senior Advisor at Ramboll Management Consulting highlighted the importance of infrastructure resilience. He emphasized the significance of the Energy Trilemma in achieving a successful transition to greener energy systems. This trilemma implies balancing between energy security, environmental sustainability, and affordability, all representing societal goals. Focusing on the energy security aspect of this trilemma, he stressed that energy infrastructure should be part of a more holistic approach to the problem. It is essential to establish resilient supply chains and implement efficient management procedures to prevent and mitigate the negative consequences of disruptions. It entails ensuring the performant infrastructure and supply, but also fostering well-functioning markets, putting in place state-governed crisis management mechanisms, and cooperation with other states. By combining these elements, one can enhance preparedness both in normal times and during crises.

Sweden as an Example

Sweden has since long been increasing its share of renewables in the energy mix, as depicted in Figure 2. This suggests that it is relatively well-prepared to the needs of the green transition. However, electricity demand is expected to increase by 100 percent in the coming years, driven by increased electrification of the industry and transport sectors, adding pressure to Sweden’s electricity system. The need for more investments in several energy systems is tangible, and investment opportunities are numerous. However, political decisions concerning the energy system in Sweden tend to be short-sighted, even though energy infrastructures have a long lifespan – often well over 50 years. As a result, investment risks are often high and change character over time, which creates a lack of infrastructure investment. Other challenges to Sweden’s energy resilience include limited acceptance of new energy infrastructure among the public, time-consuming approval processes, and a lack of thorough impact assessment.

Figure 2. Total supplied energy in Sweden, 1970-2020.

Source: Swedish Energy Agency, 2022.

Further, the current geopolitical context creates an increased need to consider external threats – such as energy system disruptions resulting from the Russian war on Ukraine – and increased dependency on China as a key supplier of metals and batteries required for electrification. It is also important to realize that external influence may affect not only physical infrastructure but also domestic decision-making processes. This calls for more energy and political security alongside the green transition, in combination with higher readiness against security threats and a reassessment of global value chains.

In summary; to successfully move into a greener future, it is necessary to invest in energy systems and infrastructure based on a careful multi-dimensional analysis and with the support of long-sighted political decisions. At the same time, we must push investments that also consider the security threats from and dependencies on global actors.

Conclusion

This year’s Energy Talk provided an opportunity to hear from leading experts on the current situation of Europe’s energy resilience. It outlined the key challenges of the green transition in the current geopolitical and economic context. Greener solutions for Europe’s energy system will require tremendous physical efforts and investments but also political will and public understanding. There are, however, immense benefits to be realized if the associated risks are not overlooked.

On behalf of the Stockholm Institute of Transition Economics, we would like to thank Ewa Lazarczyk, Yuliya Markuts, Igor Piddubnyi and Mikael Toll for participating in this year’s Energy Talk. The presentations from the webinar can be seen here.

References

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Choosing Latvia: Understanding the Decision-Making Factors of Displaced Ukrainians

Posted on June 6, 2023 | Policy Brief

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This policy brief is based on an empirical examination of the early-stage migration of Ukrainian war asylum seekers to Latvia in 2022, following the Russian invasion. The study highlights the urgent nature of their displacement and identifies the pivotal role of kinship in Latvia in the decision-making. Three categories of refugees emerge based on kinship ties, employment opportunities, and cultural affinity. The study also reveals the substantial influence of the pre-existing Ukrainian diaspora and underlines the significance of network effects in refugees’ location decisions. Contrary to previous studies, refugees didn’t necessarily settle for the first country available. The research underscores the strategy of seeking support from personal networks in acute displacement scenarios, which appears to be the most influential factor for the choice of location in the decision-making process.

Ukrainian Displaced People in Latvia

The Russian invasion of Ukraine in 2022 triggered a geopolitical upheaval in Europe and resulted in a mass exodus that had not been witnessed since World War II. With the war showing no signs of cessation, return for many of these displaced people appears difficult in the near future. Latvia, although not a bordering country, have become a haven for 36 000 Ukrainian refugees.

This brief seeks insight into Ukrainian displaced people’s preference for Latvia, using interviews conducted in March 2022, a month after the war began. With no common border between Ukraine and Latvia these refugees had to transit through other countries, making the question about the choice of Latvia as their ultimate destination particularly relevant.

Unlike during the migration crisis in 2015 and during the recent influx of Syrians and other groups, the Ukrainian refugees found themselves being welcomed with open arms, belying Latvia’s typically guarded stance towards immigrants. This unexpected warmth is influenced by a multifaceted kinship rooted in historical connections from the Soviet era, a pre-existing Ukrainian diaspora in Latvia, labor migration, and shared cultural elements.

These factors can also play a role in Ukrainian refugees’ choice of Latvia as their ultimate destination. The study underlying this policy brief seeks to explore these facets and unravel the reasons behind the Ukrainian refugees’ choice to seek safety in Latvia.

Migration Decisions

Two aspects are crucial in the analysis of migration decisions: the factors that influence refugees’ choice of destination and the process underlying this decision.

Traditional assumptions surrounding asylum-seeker migration, as emphasized by Böcker and Havinga (1997), suggest that when people are forced to flee, their primary focus is safety – not destination. However, more nuanced perspectives have evolved in recent studies (see Robinson and Sergott, 2002; Brekke and Aarset, 2009). They highlight the calculated and adaptable nature of refugee destination choices throughout the asylum-seeking migration journey, demonstrating that circumstances and journey stage significantly influence destination choices.

Research indicates that host country policies and economic conditions can both enhance and limit refugee flows (Czaika and de Haas, 2017; Ortega and Peri, 2013; Brekke and Aarset, 2009; Diop-Christensen and Diop, 2021; Kang, 2021; Suzuki,2020; Collyer, 2005). However, another line of research emphasizes that policy and economic factors are secondary to networks, cultural affinity, language, and perceptions in determining destination choices (Robinson and Sergott, 2002). Factors such as social networks (Koser and Pinkerton, 2002; Tucker 2018), kinship (Havinga and Böcker, 1999; Neumayer, 2005; Mallett and Hagen-Zanker, 2018), financial resources (Mallett and Hagen-Zanker, 2018), geography (Neumayer, 2005; Kang, 2021), destination country image (Benzer and Zetter, 2014), culture (Suzuki, 2020), and colonial links (Havinga and Böcker, 1999) have been established to be significant at various stages of migration. Economic and education opportunities are also found to have a marginal influence on destination decision-making compared to the possibility of resolving statelessness (Tucker, 2018).

These varying determinants of destination may also be contingent on the refugee journey stage. Policies may not dominate in acute cases of forced migration (Diop-Christensen and Diop, 2021). For individuals with time to prepare for migration, a cost-benefit analysis often informs their decisions. In contrast, those in urgent circumstances, such as during the Russian invasion of Ukraine, may have to take immediate refuge and put less emphasis on benefits and policies (Robinson and Sergott, 2002). Destination determinants differ by both origin and destination countries (Havinga and Böcker, 1999, Tucker, 2018, Gilbert and Koser, 2006). Thus, research on underexplored regions and countries is valuable for a comprehensive understanding of migration patterns.

Migration, voluntary or forced, involves intricate decision-making. As Mallett and Hagen-Zanker (2018) aptly state, the dynamic experiences ‘on the road’ shape refugees’ journey and destination choices. Robinson and Sergott (2002) and Brekke and Aarset, 2009 have pioneered models for asylum seekers’ decision-making, suggesting that factors such as networks, language, cultural affinity, and perceptions evolve across different stages of the asylum journey. Others, like Gonsalves (1992) and Shultz et al. (2020), have constructed models delineating stages of refugee passage and displacement, highlighting the changing needs and preferences of refugees.

While existing literature mainly focuses on the later stages of forced migration journeys, limited empirical evidence exists on the migration moves during acute displacement. Additionally, further understanding on migration induced by the war on Ukraine is needed. There is also incomplete coverage of asylum seeker and refugee topics in the Baltic countries, making such research particularly relevant. To address these gaps, this brief aims to provide qualitative findings on the decision-making and experiences of Ukrainian displaced people in Latvia.

Understanding the Decision

The research underlying this brief explored the reasons behind Ukrainian displaced people’s choice of Latvia as their migration destination during the early part of the invasion. The study is based on 34 semi-structured, in-depth interviews with displaced people conducted in March 2022. The dataset is part of a larger study that includes continuous interviews to understand Ukrainian displaced people’s lives, plans and needs in Latvia.

From the interviews, it was apparent that the predominant factor in respondents’ decision-making was the presence of kin or acquaintances in Latvia.

All but one participant had some connection to Latvia, whether through distant relatives, friends, or professional contacts. The one participant without such connections arrived from Russia and not from Ukraine, working on a contract. A minority of our participants considered staying in Ukraine. One example is Lidiia, who initially planned to move near Lviv, but redirected to Riga during the journey.

“She found a family that would host us, 100 km from Lviv… We agreed, but then our friends… called us on the way, we were leaving Kyiv under bombardment. Our train was delayed because of the air alarm. When we just arrived there, a shell exploded above the railway station… And on the way, friends from Riga called us and invited us: ‘Come, everyone will help here’. Therefore, everything changed while we were on the train, we decided everything“ (Lidiia).

Proximity of kin was not the primary concern for the interviewees; the mere fact that they had a relative in Latvia appeared more influential in their narratives. Indeed, the majority of participants had distant rather than close kin, though a few had close family in Latvia (grandparents, parents, common-law husband, and sister). As Olena explained, the presence of even distant relatives influenced her choice: “there are distant relatives, very distant… That’s why we came” (Olena). However, ties in Latvia were not the only determinants as many of the participants also had family connections in other parts of Europe.

The speed of decision-making was also striking – most decisions to migrate were not a matter of long-term planning but a reaction to the sudden crisis, often influenced by incoming offers of assistance. Nataliia remembered: “My mother said, ‘You have to leave because everything is so fatally bad. Take the children and leave.’ And literally overnight I packed up, bought the tickets. But first I went to Poland, to my brother” (Nataliia).

Maryana ended up choosing her destination only after leaving home. “At first, we thought to go to Poland, but it is completely crowded, and then we called to whoever we could. There are no relatives in other countries. No, there are relatives in other cities, but these are Luhansk, Donetsk, we are from Slobozhanska Ukraine, so all our relatives are from the side where very heavy fighting is going on now“ (Maryana). Such testimonies illuminate how, owing to the immediacy of the situation, the eventual destination of some displaced Ukrainians was not predetermined but evolved during their respective journeys.

From the interviews with the participants who knew someone in Latvia, one can identify three groups based on the main factor that determined their decision.

Network, First of All

For respondents who did not have family in Latvia, friends, acquaintances, and professional contacts in Latvia acted as anchors. Like family members, such acquaintances often reached out, offering assistance and lodging as soon as they heard the news of the war. The influx of supportive communication from Latvian acquaintances influenced the decision for many participants.

Olha decided to flee with her friend, who had a distant cousin residing in Latvia. Upon the onset of the conflict, the cousin reached out and urged them to come to Latvia. As Olha recalls: “As soon as she heard that there was a bombing in Kharkiv, she said, ‘Come’. My friend, with whom I came, Lesya, does not have a car, so she immediately told me… let’s run away’” (Olha).

Lidiia received an invitation from a Latvian friend she had met through her church, even as she was already in the process of fleeing Ukraine. Similarly, Andrii, who was vacationing abroad at the time of the war’s outbreak, remembered: “On the 25th our best friend wrote to us that, ‘There is housing, come here’ and we began to negotiate with the embassy to fly here” (Andrii).

Even in the absence of explicit messages, displaced individuals recalled having friends and family in Latvia and chose to make their way to Riga. Olena, like Lidiia, initially set off without a clear destination in mind. It wasn’t until she reached the border that she decided to head to Latvia: “Just at the border that you decided where to go?” (Olena).

Existing friendships and ongoing communication also influenced some people’s choice to opt for Latvia. Olha (2) was encouraged by her daughter to relocate to Riga due to her daughter’s friendships with Latvians that she had formed at a camp in Estonia: “Friends appeared, with whom she was in close contact for six months. That’s why for her there was no choice at all ‘Where?’. She immediately said: ‘To Riga’” (Olha (2)).

Opportunities and Realities

The turning point for many respondents was their arrival in Poland as, initially, Latvia was not the principal or only choice of destination. These respondents emphasized that, besides having friends and relatives in Latvia, they also contemplated where they might find better opportunities. Their narratives provide a contrasting perspective of Poland and Latvia. While traversing Poland, their general impression was that the country was already ‘overfilled’, which in turn kindled the notion that Latvia might harbor more possibilities. For this group of displaced individuals, the importance of employment prospects was paramount.

Nataliia took the decision to head for Latvia, choosing to stay with remote kin there rather than with her sibling in Poland, as she believed Poland lacked opportunities for her. In Myroslava’s case, a friend helped secure a job in Latvia: “We didn’t choose Latvia for any particular reason – better or worse, we didn’t care. We needed somewhere to stay, somewhere to work in order to live. Well, that’s why when a job turned up through acquaintances, they said that a person was needed here, we immediately gathered. Could not be found in Poland. In Poland, there was simply no work, no housing” (Myroslava).

Bohdan, too, mentioned the crowdedness and the high cost of living in Poland, hence deciding to move further north to Latvia: “We didn’t have a specific plan because we weren’t at all sure we would succeed. In general, my wife benefits from going to Poland, she works for an IT company operating in Poland. And we thought about getting there at first, but when we got to Poland, everything was already full. There were such expensive options, $1600 a month, we were shocked” (Bohdan).

Anastasiia echoed similar concerns: “We arrived in Warsaw, reunited there and tried to stay in Warsaw and look for a place, but there are a lot of people there, and there is no place to live, very… food, maybe cheaper than in Latvia, but there is no place to live… no place to work. And I would like to work somehow… not to be dependent” (Anastasiia).

These stories illuminate another stratum of decision-making, that beyond familial ties, participants also considered the opportunities available at their chosen destination. They accumulate information on their journey and recalibrate their destination accordingly.

Cultural Kinship, Language, Diaspora

Not all participants had prior personal experience with Latvia, even if they had relatives there. A lot of their understanding about the country stemmed from stories they’d heard or news they’d come across. This third group of participants decided on Latvia not only because they knew someone in the country, but also because they saw value in shared language, culture, and history.

Political and cultural connections played a significant role in their choice. Being able to communicate in Russian and Ukrainian in Latvia was a crucial factor, as it was associated with a smoother integration process and increased job opportunities. Nadiia, who traveled to Latvia via Poland and Budapest, elaborated on this: “And I was in Latvia and here there is an opportunity to communicate in Ukrainian, in Russian” (Nadiia).

The possibility of being accepted and integrated into the local community was also mentioned as a decision-driver. Oksana shared that her father, who had previously worked in Riga, advised her to go to Latvia: “you guys, probably go to Riga, well, because you will be accepted there, accommodated” (Oksana).

Nonetheless, choosing Latvia because of the possibility to communicate in Russian does not come without complications. Nataliia B., for instance, found the topic of language stirring up strong emotions and confessed that she doesn’t wish to speak Russian anymore: “I had such a psychological reaction – I didn’t speak Ukrainian for many years, and when all these events began, I read, I remember well how I woke up in the morning and began to speak Ukrainian. My thoughts have become Ukrainian” (Nataliia B.).

Moreover, having knowledge of the Ukrainian diaspora in the country also proved an important factor. “I also found out that there is a Ukrainian diaspora in Latvia of about 50 000 people, as I heard in the Latvian news. And this also encouraged me, I realised that I could find help from my compatriots” (Nadiia). This observation underlines the role of cultural kinship in the decision-making process regarding destination, and it can indeed be seen as a decisive factor. As the diaspora expands with the influx of more displaced people, this rationale for choosing Latvia may become increasingly common.

Conclusion

The study underlying this brief provided empirical insight into the initial phases of Ukrainian war asylum seekers’ journey to Latvia in 2022, enhancing our understanding of the factors that influenced the choice of Latvia over other destinations.

Ukrainians fleeing the early stage of the 2022 Russian invasion were compelled to make swift and difficult decisions due to the pressing crisis. Leaving behind their familiar lives, properties, and dear ones – often the very individuals facilitating their exodus for safety reasons – was a harrowing reality. The support from kin and acquaintances in Latvia was crucial in endorsing their decision to seek refuge in the country.

Three groups emerged among the Ukrainian refugees in Latvia, all connected by personal relationships to some degree. The factors influencing their migration ranged from the presence of kin and considerations of employment prospects, to shared language, culture, and history. The fact that the initial outreach usually originated from the Latvian side underscores the profound solidarity and active support provided by Latvians to their Ukrainian counterparts. This likely also played a significant role in the refugees’ decisions. The pre-existing Ukrainian diaspora in Latvia, estimated at around 50 000 before the invasion, also significantly influenced the choice of Latvia as a refuge.

Financially-related factors such as seeking benefits were largely absent from the narratives, likely due to the geographic proximity, relatively low costs, and the urgent nature of the displacement. The most significant determinant in choosing Latvia as the destination appeared to be the network effect, contrasting with Robinson and Sergott (2002) findings that acute asylum seekers often settle for the first country available.

Given the emergency nature of the displacement, no unambiguous pattern in the location decision could be established. The narrative varied considerably among respondents with decisions often being made, or altered, on the fly. However, in most cases, personal relationships played a primary role in shaping the choices among Ukrainian refugees in Latvia.

For policy-makers planning and responding to acute migration crises, the study highlights the importance of mapping and understanding multifaceted kinships, as well as culture and history. The mapping can be used to plan support and allocate resources to give displaced people an opportunity of a place where they feel welcomed and connected, with hopes of greater integration.

References

  • Böcker, A. and Havinga, T. (1997). Asylum Migration to the European Union: Patterns of Origin and Destination, Luxembourg: Office for Official Publications of the European Communities.
  • Brekke, J. P. and Aarset, M. F. (2009). Why Norway? Understanding Asylum Destinations, Institute for Social Research, Oslo.
  • Collyer, M. (2005). When do social networks fail to explain migration? Accounting for the movement of Algerian asylum-seekers to the UK. Journal of Ethnic and Migration Studies, 31(4), 699-718.
  • Czaika, M. and de Haas, H. (2017). The effect of visas on migration processes. International Migration Review, 51(4), 893-926.
  • Diop-Christensen, A. and Diop, L. E. (2021). What do asylum seekers prioritise—safety or welfare benefits? The influence of policies on asylum flows to the EU15 countries. Journal of Refugee Studies.
  • Gilbert, A. and Koser, K. (2006). Coming to the UK: what do asylum-seekers know about the UK before arrival? Journal of ethnic and migration studies, 32(7), 1209-1225.
  • Gonsalves, C. J. (1992). Psychological stages of the refugee process: A model for therapeutic interventions. Professional Psychology: Research and Practice, 23(5), 382.
  • Havinga, T. and Böcker, A. (1999). Country of asylum by choice or by chance: Asylum‐seekers in Belgium, the Netherlands and the UK. Journal of ethnic and migration studies, 25(1), 43-61.
  • Kang, Y. D. (2021). Refugee crisis in Europe: determinants of asylum seeking in European countries from 2008–2014. Journal of European Integration, 43(1), 33-48.
  • Koser, K. and Pinkerton, C. (2002). The social networks of asylum seekers and the dissemination of information about countries of asylum.
  • Mallett, R., & Hagen-Zanker, J. (2018). Forced migration trajectories: An analysis of journey-and decision-making among Eritrean and Syrian arrivals to Europe. Migration and Development, 7(3), 341-351.
  • Neumayer, E. (2005). Bogus refugees? The determinants of asylum migration to Western Europe. International studies quarterly, 49(3), 389-409.
  • Neumayer, E. (2004). Asylum destination choice: what makes some West European countries more attractive than others? European Union Politics, 5(2), 155-180.
  • Ortega, F., and Peri, G. (2013). The effect of income and immigration policies on international migration. Migration Studies, 1(1), 47-74.
  • Robinson, V., and Segrott, J. (2002). Understanding the decision-making of asylum seekers (Vol. 12). London: Home Office.
  • Shultz, C., Barrios, A., Krasnikov, A. V., Becker, I., Bennett, A. M., Emile, R., Hokkinen, M., Pennington, J. R., Santos, M., and Sierra, J. (2020). The Global Refugee Crisis: Pathway for a More Humanitarian Solution. Journal of Macromarketing, 40(1), 128–143.
  • Suzuki, T. (2020). Destination choice of asylum applicants in Europe from three conflict-affected countries. Migration and Development, 1-13.
  • Tucker, J. (2018). Why here? Factors influencing Palestinian refugees from Syria in choosing Germany or Sweden as asylum destinations. Comparative migration studies, 6(1), 1-17.

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Democracy in the Eye of the Beholder?

Posted on May 29, 2023 | Policy Brief

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There is growing concern that democratic institutions in Eastern Europe are fragile. This brief compares two perspectives on the state of democracy: expert assessments and surveys of the general population. We show that while experts’ perception of some countries’ institutions has worsened in recent years, voters are increasingly satisfied with their own democracies. This trend is broad-based, encompassing almost all new EU member states and all age groups. We provide evidence that over time, survey respondents’ assessment of democracy has become more closely tied to the outcome of elections rather than actual institutional change. Where governments have imposed restrictions on media freedom or judicial independence, their supporters continue to report high levels of satisfaction with the way democracy works.

“Across the world, democracy is backsliding”

UN’s Secretary-General António Guterres, 2022

In recent years, the prevailing narrative around democracy in Eastern Europe has been negative. The reform momentum that propelled countries towards EU membership has not been sustained after accession. Discussions of global democratic backsliding frequently cite countries from the region as examples (Grillo and Prato, 2023; Chiopris et al., 2021; Mechkova et al., 2017). Following restrictions on judicial independence and media freedom, some new EU members have seen their ratings slide on indices that measure the quality of democratic institutions based on expert opinions. This brief contrasts these expert assessments with a different perspective on the state of democracy: that of the voters themselves.

Data from Eurobarometer surveys show that satisfaction with ‘the way democracy works in our country’ has been increasing in the new EU member states. This upward trend is visible for all age groups and in almost all countries – including those where experts’ assessment of democracy has worsened. We document patterns in the data that may help to explain this divergence. Survey responses increasingly reflect an instrumentalist view of democracy; respondents who are aligned politically with the winning party are more likely to feel that democracy is working well. This trend can be observed across the EU, but it is most pronounced in the new EU member states where the governing parties are right-of-centre.

Perceptions of Democracy

Expert Assessments

The quality of democracy is hard to measure. A range of indices classify countries by regime type or provide numerical ratings of institutional quality (the Polity, V-Dem, and Freedom House measures are among the most prominent). These indices have somewhat different objectives and methodologies, but they all rely on subjective judgements by expert coders.

Some academic research casts doubt on the prevailing narrative of a global phenomenon of democratic backsliding. For instance, Treisman (2023) and Lueders and Lust (2018) show that there is little consensus across indices, both in terms of individual countries and the global trend. A recent paper by Little and Meng (2023) contrasts subjective indices with more objective indicators of democratic health (e.g. the rate at which incumbents lose elections). The authors find no evidence for global democratic backsliding using the objective measures and suggest that the pessimistic narratives around democracy may have biased coders’ assessment.

There is less disagreement about the development of democracy in Eastern Europe. Treisman (2023) cites Hungary as the only example of a country that has recently been downgraded both from the status of “liberal democracy” by V-Dem and “free state“ by Freedom House. Little and Meng (2023) highlight three cases where both objective and subjective measures indicate backsliding: Hungary and Poland (as well as Venezuela). Further, Becker (2019) shows that downgrades to V-Dem democracy scores in Bulgaria, Czechia, Hungary, Poland, and Romania are relatively broad-based, driven by declines across multiple sub-categories including freedom of expression and constraints on the executive.

Surveys of Public Opinion

We use individual-level data from the Eurobarometer – a survey of public opinion in the EU Member States and candidate countries conducted by the European Commission. The surveys are conducted at an approximately monthly frequency and comprise of a representative sample (about 1000 face-to-face interviews) for each state. We combine data from 42 surveys, spanning 20 years (2002 to 2022), with a total of 1.3 million respondents. The main question we are interested in is: “On the whole are you very satisfied, rather satisfied, not very satisfied or not at all satisfied with the way democracy works in [our country]?”

At the beginning of the sample period in 2002, around a third of respondents in Eastern European EU countries were satisfied with their respective democracies compared to close to twice as many respondents in Western Europe (Figure 1). Over the past 20 years, the share of Eastern Europeans satisfied with their democracy has grown to around 50 percent, narrowing the gap with Western Europe. Figure 2 shows that this pattern is broad based across age groups. All cohorts of Eastern Europeans are more satisfied with democracy than earlier generations and among the youngest respondents, satisfaction is almost as high as in Western Europe.

Figure 1. Satisfaction with Democracy vs V-Dem Score.

Source: Eurobarometer, V-Dem and authors’ calculations.

Figure 2. Satisfaction with Democracy by Age Group.

Notes: Each point shows the sample mean for a single year cohort. 95 percent confidence intervals in grey.
Source: Eurobarometer, authors’ calculations.

Figure 1 also shows a stark divergence in expert assessment of the state of democracy in Eastern Europe compared to public opinion in the same countries. While the V-Dem democracy scores for Eastern Europe have declined rapidly since the mid-2010s, average satisfaction with the own country’s democracy has increased. A much smaller gap between these two measures has also started to open up in Western Europe over the past couple of years.

In Figure 3, we show the same patterns of satisfaction with democracy and expert opinions for individual countries. Satisfaction with one’s own democracy has increased in almost all Eastern European countries, including in Poland and Hungary which at the same time showed the largest declines in democracy scores.

Figure 3. Satisfaction with Democracy vs V-Dem Score by Country.

Source: Eurobarometer, V-Dem and authors’ calculations.

This divergence in individual survey responses and expert assessments is not altogether surprising. First, the Eurobarometer surveys a sample of the population in each country, while V-Dem (and most other similar democracy indices) relies on country experts. Another likely explanation for the difference is the interpretation of the question. Democracy ratings tend to emphasise institutional aspects of a democracy, for instance, the V-Dem liberal democracy index is designed to capture rule of law and checks on executive power (see, e.g., Becker, 2019). In contrast, the survey responses are likely to reflect both satisfaction with the state of democracy in a country, as well as the outcomes of that democracy.

Satisfaction with Democracy and Political Alignment

In this section, we investigate whether stated satisfaction with democracy depends on the outcomes of elections and the political ideology of the respondents. A common way of measuring political ideology is the placement on a right-left scale, where the right favours a free-market economy and traditional values while the left favours economic redistribution and socially progressive policies. We compare the right-left placement of each country’s governing party as coded by the Chapel Hill Expert Survey (CHES), with the self-identified right-left placement of Eurobarometer respondents. We calculate the ideological distance from the government as the absolute difference between these two scores.

Figure 4. Relationship Between Ideological Distance from Government and Satisfaction with Democracy.

Source: Eurobarometer, Döring, Huber and Manow (2022) and authors’ calculations.
Notes: Each point shows the coefficient from a separate regression of satisfaction with democracy on ideological distance from government, age, gender, year fixed effects and country fixed effects. 95 percent confidence intervals in grey. Coefficient estimates for Eastern and Western EU overlap on the chart for 2019 and 2020.

We find that people are on average less satisfied with their country’s democracy when they are ideologically further from the parties in government (Figure 4). This is consistent with prior evidence (Anderson and Guillory, 1997; Ezrow and Xezonakis, 2011). The alignment effect has become stronger over time – even when taking into account average satisfaction levels for each country and demographic characteristics of the respondents, such as their age and gender. In the past three years, political alignment with the government has become a major factor in explaining satisfaction with democracy, especially in Eastern Europe. Svolik (2019) suggests that voters trade off democratic principles and partisan interests. As political polarisation increases, voters become more willing to accept a government that undermines democratic institutions, as long as it is on ‘their side’ ideologically.

Figure 5. Satisfaction with Democracy and Political Ideology. Western Europe in the Left Panel and Eastern Europe in the Right Panel.

Source: Eurobarometer, Döring, Huber and Manow (2022) and authors’ calculations.
Notes: Respondents with the most left-leaning ideology are at the extreme left of the x-axis, those with the most right-leaning ideology are at the extreme right. The sample covers the period 2002 to 2022 and excludes observations where the government is coded as centrist (scores of 5-6 in the CHES data). 95 percent confidence intervals in grey.

In Figure 5, we break down the effect of political alignment on satisfaction with democracy according to individuals’ political leanings. On the x-axis is the respondents’ left-right placement and on the y-axis there are two series of dots showing satisfaction with democracy depending on whether the government is left of centre (lighter coloured dots) or right of centre (darker coloured dots). As before, being politically aligned with the government increases satisfaction, that is, to the left of the chart, the lighter coloured dots are placed higher than the darker coloured dots and vice versa for the right of the chart. The further from centre a person’s political leanings, the less satisfied they are with a government of the opposite ideology. There is also some evidence of asymmetry across the political spectrum in Eastern Europe, with respondents on the political right reporting much higher levels of satisfaction with right-wing governments compared to voters on the left under a left-wing government.

Conclusion

Over the past decade, there has been increasing concern over democratic backsliding in some of the Eastern European countries that are members of the EU. This is reflected in commonly used democracy indices whose country experts note the worrying trends in countries’ institutions – such as the reduction of freedom of expression, the strengthening of rule of law and constraints on the executive, all hallmarks of a liberal democracy. In this policy brief, we investigate whether this erosion of institutional safeguards affects people’s stated satisfaction with democracy in one’s respective country. We find a broad-based increase in satisfaction with democracy in the Eastern European EU countries, including in the countries that have seen some of the largest declines in liberal democracy ratings. We show that stated satisfaction with democracy reflects less the institutional changes in countries, but more the outcome of democratic elections. Voters who are politically aligned with their government are systematically more likely to report that they are satisfied with the state of democracy in their country. And this effect has become stronger in the most recent years, particularly in the Eastern European EU countries. We also find that this effect is not symmetric across the political spectrum. In the Eastern European EU countries, respondents on the political right are more satisfied with right-wing governments than those on the left are with left-wing governments.

The descriptive patterns outlined in this policy brief illustrate a worrying disconnect in the minds of many voters between institutions and outcomes of the democratic process. The threat of democratic backsliding in Europe and across the globe is predominantly not due to electoral democracies being replaced by autocratic regimes. Rather, genuinely popular (and often populist) governments are democratically elected and, once in power, proceed to undermine and dismantle liberal democratic institutions, such as a free press, an independent judiciary, and a fair electoral system. This process in turn makes it more difficult for opposition parties to win future elections, further cementing the power of the rulers of these illiberal democracies. While the electorate might support these governments now, voters need to be aware that these liberal institutions are designed to safeguard their democratic future.

References

  • Anderson, C. J. and Guillory, C. A. (1997). Political institutions and satisfaction with democracy: A cross-national analysis of consensus and majoritarian systems. American Political Science Review, 91(1), pp.66-81.
  • Becker, T. (2019). Liberal Democracy in Transition – The First 30 Years. FREE Policy Brief.
  • Chiopris, C., Nalepa, M. and Vanberg, G. (2021). A wolf in sheep’s clothing: Citizen uncertainty and democratic backsliding. Working Paper.
  • Döring, H., Huber, C. and Manow, P. (2022). ParlGov 2022 Release. Harvard Dataverse. https://doi.org/10.7910/DVN/UKILBE
  • Eurobarometer (multiple waves: 2002-2022), European Commission. Brussels
  • Ezrow, L. and Xezonakis, G. (2011). Citizen satisfaction with democracy and parties’ policy offerings. Comparative Political Studies, 44(9), pp.1152-1178.
  • Grillo, E. and Prato, C. (2023). Reference points and democratic backsliding. American Journal of Political Science, 67(1), pp.71-88.
  • Little, A. and Meng, A. (2023). Subjective and Objective Measurement of Democratic Backsliding. Available at SSRN 4327307.
  • Lueders, H. and Lust, E. (2018). Multiple measurements, elusive agreement, and unstable outcomes in the study of regime change. The Journal of Politics, 80(2), pp.736-741.
  • Mechkova, V., Luhrmann, A. and Lindberg, S. I. (2017). How much democratic backsliding?. Journal of. Democracy, 28, pp.162-169.
  • Svolik, M. W. (2019). Polarization versus democracy. Journal of Democracy, 30(3), pp.20-32.
  • Treisman, D. (2023). How great is the current danger to democracy? assessing the risk with historical data. Comparative Political Studies, https://doi.org/10.1177/00104140231168363.

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Environmental Enforcement in the EU: Insights from Administrative Cases in the US

Posted on May 23, 2023 | Policy Brief

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In March 2023, the European Parliament’s legal affairs committee voted unanimously in favor of a proposed update to the EU Directive on environmental crimes (Directive 2008/99/EC). The update seeks to step up enforcement of environmental legislation across Members States through criminal law aimed at severely punishing very serious environmental offenses. We argue that, while laudable in its goal of strengthening enforcement of environmental regulation at the EU level, the current effort might be insufficient since moderately serious offenses might remain largely unpunished. To address this shortcoming, we propose harmonizing administrative law as well. We consider additional benefits from relying on administrative law in terms of flexibility of punishment design, based on the US experience of using environmentally beneficial projects performed in affected areas as a form of punishment in administrative environmental settlements. We discuss evidence on the merits and potential limitations of the US approach based on Campa and Muehlenbachs (2022) and conclude that such an approach is worth considering in the EU context.

While the EU has set aggressive pollution reduction targets across its Member States (European Commission, 2021a), for example pledging to reduce deaths due to particulate matters to 55 percent of 2005 levels by 2030 (European Commission, 2023a), much work remains to be done. As documented in Lehne (2021), in 2020 all countries in Europe reported PM2.5 concentrations above the World Health Organization (WHO) guideline of 5mg/m3. Six countries, including three EU Member States (Italy, Croatia, and Poland) reported levels above the EU’s annual limit value of 25mg/m3. Further, Bulgaria, Poland, Portugal, Croatia, and Romania did not meet national targets for PM2.5 reduction (European Environment Agency, 2023). Main contributors to PM2.5 pollution are transportation and industrial activity, including energy production. High concentrations of these particles are known to increase physical and mental health risks (Persico, 2022; Persico et al., 2016), and risk of premature deaths (Fuller et al., 2022).

Environmental concerns across EU Member States are also not limited to air pollution. Across the EU, 28 percent of groundwater sources are affected by pollution from agriculture, 14 percent from industrial contamination, and 7.5 percent from mining waste (Kampa et al., 2021). The persistent pollution problems in the EU and their unequal distribution across regions despite growing EU-level environmental legislation underscores the importance of law enforcement. While all EU Member States are theoretically subject to the same overarching environmental standards and regulations, the enforcement of environmental laws differs widely across countries. To address this issue, the EU Commission (henceforth EC) has recently taken steps to further harmonize environmental enforcement across EU Member States.

In this brief we consider the EC’s proposal and argue that, while commendable in the goal of strengthening enforcement of environmental regulation at the EU level, it is also quite limited in terms of enforcement tools that it considers. Specifically, we discuss potential advantages of leveraging administrative law tools to enforce environmental regulation, whereas the EC approach is currently focused on criminal law. We consider the higher probability of prosecution and the enhanced flexibility in the type of penalties allowed by administrative enforcement actions. Finally, we discuss results from Campa and Muehlenbachs (2022), which studies the use of administrative penalties for environmental violations in the US and draws some lessons for environmental enforcement in other jurisdictions.

Strengthening Environmental Enforcement at the EU Level

While environmental regulation is a shared competence of the EU, enforcement has historically been left to national environmental authorities (European Parliament, 2016). In the face of a lack of institutional capacity at the national level, a result of this arrangement are generally low levels of environmental enforcement, widely heterogeneous across Member States (Mazur, 2011). EU institutions have tried unsuccessfully over time to address this challenge and harmonize enforcement across EU Member States. An early attempt was made in 2001, when the EU put in place minimum standards for environmental inspections that Member States carry out, though these were only non-binding guidelines, and Member States could not be sanctioned for flouting them (European Parliament, 2001). Mandatory standards were then introduced in 2008, with the EU Directive on environmental crimes (Directive 2008/99/EC), which forced national governments to apply criminal sanctions to those causing “substantial damage” to the environment. However, it has typically been difficult for the EC to sanction non-abiding Member States. Moreover, the obligation is limited to areas where the EU has competence and does not include minimum penalties.

In another attempt to step up their enforcement efforts, in 2016 the EC began publishing the annual Environmental Implementation Review, where each country is evaluated on its environmental affairs and enforcement (European Commission, 2023b). Although this does not improve the EC’s ability to efficiently sanction Member States, it does increase scrutiny and visibility. In 2021, the EC tabled a proposal to update the 2008 Directive on environmental crimes (European Commission, 2021b). The proposal acknowledged the insufficient number of environmental criminal cases successfully investigated and prosecuted as well as the large discrepancies in the transposition of the 2008 Directive across Member States. Against this background, the EC proposed to enlarge the scope of the 2008 Directive, establish minimum penalties, foster cross-border investigation and prosecution, and promote data collection and dissemination on criminal enforcement actions. In March 2023, the European Parliament’s legal affairs committee voted in support of the EC proposal, extending the list of offenses that would be criminally charged and increasing the size of the minimum penalties.

Environmental Enforcement, Administrative Law and “In-kind” Punishment

The efforts of EU institutions to improve and harmonize enforcement are exclusively focused on criminal law instruments. The EC’s 2021 proposal specifically links poor enforcement in Member States to their reliance on administrative law, which limits fines and thus allegedly reduces the deterrence value of enforcement actions. Indeed, sufficiently high fines are considered crucial to deter future violations (see, e.g., Aguzzoni et al., 2013). However, we argue that reliance on administrative law also has some advantages. In particular, we consider two potential benefits of administrative law based on existing studies, namely higher probability of case initiation and more flexibility in terms of penalty design.

Probability of Case Initiation

One of the shortcomings of the current enforcement framework highlighted by the EC is the very low number of environmental criminal cases that are ultimately prosecuted. Research on enforcement tends to link the low frequency of observed criminal cases to the high cost of criminal proceedings, especially relative to more informal administrative procedures (Faure and Svatikova, 2012). The cost dimension is especially relevant for cases that are moderately serious, but that nevertheless in aggregate contribute significantly to environmental degradation. The probability of catching violations is also relevant, together with the size of the penalty. A very large penalty for a criminal case that is highly unlikely to be prosecuted might be less deterring than a moderate penalty associated with very high probability of prosecution.

“In-kind” Penalties

Federal environmental regulations in the US are enforced through a combination of administrative and criminal law. The Environmental Protection Agency (EPA) initiates administrative cases or refers them to the Department of Justice when the gravity of the violation is large. Administrative cases result in settlements where the defendant can be ordered to pay a fine, which can vary from a few thousand to a few million dollars and which is determined according to various factors, such as the magnitude of environmental harm, the firm’s economic gain from violation, its violation history, and its ability to pay. Additionally, when a fine is established, defendants are given the opportunity to volunteer to pay for an environmentally beneficial project in the affected area. The EPA encourages these projects especially in areas subject to environmental justice concerns, namely those characterized by a large share of minority and low-income households.

Campa and Muehlenbachs (2022) study the implications of using these projects in environmental enforcement cases in the US. The study reveals a large preference among the public for this “in-kind” form of penalty versus traditional fines, based on a survey of US residents. Moreover, a randomized survey experiment reveals that these environmental projects elevate the profile of the firm among the public as compared to a firm that only pays a fine, even when the penalties stem from the same violation. Similarly, the stock-market response to the announcement of these projects is positive, whereas announcing a settlement with a large penalty causes a drop in the stock-market price of the defendant. In terms of implications for environmental justice, the data analysis shows that the whitest and richest communities are the most likely to receive these projects, but the second largest share goes to communities where there are highest concentrations of minorities and low-income households.

Overall, the study finds that punishing firms through environmental projects can be beneficial for political economy reasons, given the large preference for this enforcement tool among the public and likely among firms, since firms seem to benefit from undertaking the projects. Moreover, while the targeting of environmental justice communities in the US is not perfect, tweaking the US arrangement could guarantee that the projects predominantly benefit those communities most harmed by environmental violations.

For EU adoption of environmental projects enforcement, a caveat is that the perception of these projects might be different among the public in the EU. Nonetheless, large-scale surveys modelled on those presented in Campa and Muehlenbachs (2022) can help in understanding public views in different regions. Moreover, the paper emphasizes that on the one hand, by benefiting defendants, the environmental projects might ultimately be a more lenient punishment than fines, with implications for deterrence and future environmental quality. On the other hand, environmental quality might also improve as a direct effect of the projects being implemented and due to improved monitoring in affected communities (Dimitri et al., 2006). Overall, the study finds that future environmental quality might be more likely to improve following fines rather than environmental projects. However, it cautions the reader on data limitations that causes the result to not be conclusive enough and calls for further research.

Conclusion

The persistence of environmental problems in the EU, as well as the striking differences in pollution levels across EU Member States, underscores the need for more and better environmental regulation. However, even in the presence of comprehensive and strict environmental rules, the protection of the environment is still inadequate if a proper enforcement mechanism is not in place. As observed in OECD (2009), proper enforcement ensures deterrence. Successful deterrence provides the best protection for the environment, while reducing the resources necessary to administer laws by addressing non-compliance before it occurs. EU institutions have recently taken important steps to improve and further harmonize enforcement of environmental regulation across Member States, with proposed updates to the existing Directive on the matter scheduled for Member-State discussion in upcoming months.

Specifically, the EU is seeking to step up the use of criminal law to prosecute environmental offenses across Member States, with mandatory penalties and increased cross-border coordination. We argue that the focus on criminal law has some drawbacks, which could be addressed by also harmonizing administrative enforcement across EU Member States. Researchers have previously argued that reliance on administrative law might increase the likelihood that offenses are investigated and prosecuted. We also present evidence from the use of administrative law in the US, where defendants in environmental cases can settle to pay part of their penalty “in-kind”, i.e. by performing environmental projects in areas affected by the alleged violations. The evidence suggests that the use of these projects is worth considering in other jurisdictions, including the EU, because they might be preferred by the public and could help addressing environmental justice concerns. An important caveat is that their implications for environmental protection are not clear, and more research should address this important aspect. On the subject, the existing evidence on environmental enforcement in the US, such as that presented in Campa and Muehlenbachs (2022), is established thanks to the availability of rich data sources kept by the US’ EPA. The EC’s recent proposal to systematically collect and disseminate data on environmental crimes is thus particularly welcome and should not be overlooked in the upcoming negotiations with Member States on the final content of the proposed Directive.

References

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Potential Climate Change Impacts on Women’s Vulnerability in Georgia

Posted on May 8, 2023 | Policy Brief

20230508 Potential Climate Change Poster 02

Climate change can increase the vulnerability of women to various risks, including natural disasters, food insecurity, water scarcity, and health problems. Women may also face unique challenges in accessing resources and services, which can limit their ability to adapt to a changing climate. Developing countries, with their more traditional gender roles, are even more likely to experience disproportionate impacts of climate change on women, and Georgia is no exception. Thus, the country needs to address this problem through a comprehensive approach which accounts for the social, economic, and environmental factors that contribute to gender inequality.

Introduction

According to Georgia’s fourth national communication report to the United Nation’s Framework Convention on Climate Change, the negative impacts of climate change on ecosystems and the economy can hinder Georgia’s path toward sustainable development. Therefore, a key focus for the country should be to develop climate-resilient practices and reduce the vulnerability of communities exposed to these impacts.

The climate scenarios in the communication report present a worrying picture of warming trends in the country, mainly due to increased temperatures in the last summer and autumn seasons, as depicted in Figure 1 (MEPA, 2021). Such alterations in weather patterns often lead to glacier retreat, water scarcity, coastal erosion, and biodiversity loss in different regions of Georgia (ibid).

Figure 1. Average summer and winter temperatures in Georgia, 1900-2021.

Source: Climate Change Knowledge Portal (World Bank, 2021).

An increasing body of international research has demonstrated that climate change can have adverse effects on agricultural production, food security, water management, and public health. Furthermore, research has revealed that these effects are not gender-neutral, with women and children being among the most affected groups (World Bank Group, 2021).

Climate Change Impacts on Women – A Georgian Perspective

Women in developing countries like Georgia experience various impacts of climate change, which affect them differently than men. The effects might vary according to region or community, but some common signs can be identified. The main channels through which women are disproportionally affected by climate change are discussed in the following sub-sections.

Health Impacts

Climate change has a significant effect on human health, with women being more vulnerable due to various cultural, social, and economic factors (Sbiroli et al., 2022). In particular, women appear to be more susceptible to infectious diseases and undernutrition, especially in middle and low-income countries (ibid).

Springmann et al. (2016) found that, by 2050, Georgia could experience about 32.36 climate-related deaths per million due to malnutrition caused by a lack of fruits and vegetables in people’s diets and due to increased health complications associated with undernutrition. In Georgia, malnutrition is a significant gender equality concern. According to the Global Nutrition Report, women in Georgia disproportionally experience exposure to undernutrition translated into underweight. Similarly, women represent the majority of Georgians with obesity (26.8 percent, compared to 22.2 percent among men). Both these issues may be further exacerbated by climate change in the future.

Furthermore, in Georgia, women are more likely to care for sick family members. According to Geostat, 31 percent of women who have sick or dependent family members are involved in providing them care, compared to only 15 percent of the men. This puts women at greater risk of exposure to climate change-induced infectious diseases, given that research has demonstrated an increased risk of such diseases worldwide, including in areas in Europe that have climate profiles similar to Georgia (Mora et al., 2022; Gray et al., 2009).

Figure 2. Prevalence of underweight among adults (>18) in Georgia, 2000-2016.

Source: Global Nutrition Report (2023).

Water and Food Scarcity

Climate change is also known to affect food and water supply through changes in agricultural conditions, droughts, and floods. In developing countries as women are often responsible for food and water supply, they are disproportionally affected by water shortages resulting from climate change (Figueiredo & Perkins, 2013). Women in poor rural households in Georgia are likely to face similar challenges.

Women in Georgia also play a crucial role in agriculture (according to Geostat, 47 percent of workers in agricultural holdings were women in 2021). Fluctuations in temperature and precipitation patterns can reduce crop yields, leading to lower income and food insecurity. This may disproportionately affect female farmers, as access to agricultural technologies, land ownership and lack of necessary knowledge and skills are some of the significant barriers for women involved in agriculture in Georgia (Gamisonia, 2015).

Economic Impacts and Access to Resources

One of the main reasons to why women are disproportionally affected by climate change is that their underlying economic conditions are less favourable than men’s (Yadav & Lal, 2018). In 2021, the majority of people outside the labor force were women (65 percent), while men constituted 35 percent (Geostat). It is important to mention that in the same year, only 33 percent of women were employed in Georgia, compared to 49 percent of men. Additionally, the average salary for women was 1056 GEL (813 GEL in the agricultural sector), while men earned an average of 1538 GEL (1006 GEL in the agricultural sector). Finally, although poverty rates among women in Georgia are slightly lower than among men, 17.1 vs. 17.9 percent respectively (absolute poverty rates in 2021), the poverty data does not account for the gender-biased distribution of household resources. Women face larger barriers in obtaining financial resources (collaterals, loans, etc.) than men because they own less property. For different types of property, only 44 percent are owned by at least one woman, according to the National Agency of Public Registry of Georgia. The corresponding number for men is 56 percent.  Geostat data further indicates that households headed by men make up 63 percent of the total number of households, whereas households headed by women account for only 37 percent. These unfavorable conditions hinder women’s access to vital information and resources required for climate change adaptation and mitigation.

The discussed impacts may be especially prominent for women in poor rural households. Climate change-induced natural disasters are typically more detrimental for households dependent on agriculture (Dagdeviren et al., 2021), especially subsistence farmers and poor agricultural workers (in particular those without access to technology or resources). In Georgia, women are in majority in both these categories.

Natural Disasters and Displacement

Climate-driven disasters are over 14 times more likely to cause fatalities among women and children than men, according to UNHCR (2022). Additionally, women in agrarian societies impacted by climate change are less likely to use adaptive measures, putting them at higher risk of displacement (Palacios, Sexsmith, Matheu & Gonzalez, 2023). Such risks are also likely to pertain to the rural areas of Georgia.

Georgia’s International Obligations and Policies

In previous decades Georgia has made significant progress when it comes to incorporating gender equality and climate change into the policy agenda. In particular, Georgia follows numerous international legislative initiatives regarding sustainable development, gender equality, and climate change.

Georgia is a party to the Paris Agreement and the Beijing platform (a comprehensive roadmap for women’s rights and empowerment, which lists the problems associated with gender inequality and different strategies to overcome them, signed by Georgia in 1995). It is also a signatory of the Gender Action Plan (GAP), adopted a year after the Paris Agreement to integrate gender into targets and increase effectiveness, fairness, and sustainability.

The updated Nationally Determined Contribution (NDC) of Georgia includes a dedicated section on gender and climate change. This section aims to promote gender mainstreaming, encourage equal participation, empower women, build capacity, and develop climate policies that are responsive to gender considerations. Furthermore, the Long-term Low-emission Development Strategies for Paris Agreement parties (including Georgia) has a communication and awareness-raising strategy that seeks to address gender, youth, and people with disabilities in its outreach efforts (United Nations, 2022).

Despite these commitments, Georgia is lagging when it comes to tackling the issues of climate change and gender in coordination. For example, even though Georgia has adopted a Gender Equality Law and Action Plan, it does not address climate change issues. Therefore, municipalities are not required to consider gender aspects of climate change impacts.

Identified Gaps and Policy Recommendations

Despite the number of policies and measures undertaken, unsolved problems hinder the country’s ambition to adhere to gender-mainstreamed climate change-addressed policymaking.

For example, there is a lack of gender-disaggregated data on the impacts of climate change in Georgia, which prevents policymakers from developing targeted strategies to address women’s needs. Therefore, collecting and analyzing disaggregated data with gender-specific impacts in mind is recommended. Additionally, involving women in decision-making and ensuring their participation in climate change efforts is crucial as their unique experiences and perspectives can inform more effective and equitable responses to climate change impacts.

As previously mentioned, climate change in Georgia is expected to exacerbate water and food scarcity, which can disproportionately affect women. Therefore, implementing climate-resilient water management strategies and increasing access to climate-resilient agricultural practices, such as crop diversification and improved irrigation systems, can help increase farm productivity and reduce the adverse impacts of climate change on women.

Furthermore, there is a need to provide women with access to financial resources and services and to address gender-based inequalities that may limit women’s ability to access information and resources necessary for climate change adaptation and mitigation.

Finally, addressing the impacts of climate change on women in Georgia will require a coordinated and sustained effort from a range of stakeholders, including governments, civil society organizations, and local communities, so that women are not left behind in the global effort to address the impacts of climate change.

Conclusion

To effectively address the impacts of climate change on women in Georgia, it is essential to recognize that various social, economic, and cultural factors shape women’s experiences. For example, women in rural areas may face different challenges than women in urban areas; women with few economic means may be disproportionately affected by climate change. Therefore, policies should not only integrate gender-mainstreaming, but also account for these heterogeneities, to ensure that different parties of the society are adequately addressed within the climate change policy agenda.

References

  • Dagdeviren, H., Elangovan, A., & Parimalavalli, R. (2021). Climate change, monsoon failures and inequality of impacts in South India. Journal of Environmental Management.
  • Figueiredo, P., & Perkins, P. E. (2013). Women and water management in times of climate change: participatory and inclusive processes. Journal of Cleaner Production, 188-194.
  • Gamisonia, N. (2015). Climate Change and Women. Heinrich Böll Stiftung.
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  • MEPA. (2021). Fourth National Communication of Georgia to the UNFCCC. Tbilisi: UNDP.
  • Mora, C., McKenzie, T., Gaw, I. M., Dean, J. M., Hammerstein, H. v., Knudson, T. A., Franklin, E. C. (2022). Over half of known human pathogenic diseases can be aggravated by climate change. Nature Climate Change.
  • National Agency of Public Registry of Georgia. https://www.napr.gov.ge/
  • Palacios, H. V., Sexsmith, K., Matheu, M., & Gonzalez, A. R. (2023). Gendered adaptations to climate change in the Honduran coffee sector. Women’s Studies International Forum.
  • Sbiroli, E., Geynisman-Tan, J., Sood, N., Maines, B. A., Junn, J. H.-J., & Sorensen, C. (2022). Climate change and women’s health in the United States: Impacts and opportunities. The Journal of Climate Change and Health.
  • Springmann, M., Mason-D’Croz, D., Robinson, S., Garnett, T., Godfray, H. C., Gollin, D., Scarborough, P. (2016). Global and regional health effects of future food production under climate change: a modelling study. National Library of Medicine.
  • UNHCR. (2022). Gender, Displacement and Climate Change. Potsdam Institute for Climate Impact Research.
  • United Nations. (2022). Long-term Low-emission Development Strategies. United Nations.
  • World Bank Group. (2021). Climate Risk Country Profile: Georgia. World Bank Group.
  • World Bank. (2021). Climate Change Knowledge Portal. https://climateknowledgeportal.worldbank.org/country/georgia
  • Yadav, S. S., & Lal, R. (2018). Vulnerability of women to climate change in arid and semi-arid regions: The case of India and South Asia. Journal of Arid Environments, 4-17.

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

European Democracy Through the Lens of Party Manifestos

Posted on May 1, 2023 | Policy Brief

A group of flags representing European countries, displayed on flagpoles with a clear blue sky in the background representing European democracy

The subjects of political discourse are important but hard to quantify. This brief uses data from 30 years of party manifestos to study how the dominant topics in politics have evolved across Europe. Transition countries have seen the most significant shift in the content of political discourse. In the early 1990s, party manifestos in Eastern Europe focused on a distinct set of topics related to transition; by recent elections they had converged to those in Western Europe, with a heavy emphasis on the welfare state, education, infrastructure and technology. Political discourse can change rapidly in times of crisis as shown by the example of Ukraine.

“It’s the economy, stupid!”

James Carville, Bill Clinton’s strategist for the 1992 election.

The dominant topics in politics are not always as apparent as when Bill Clinton was elected US president in the midst of a recession. While it is easy to track winners across election cycles, it is much harder to know what got them elected and what they will do (or at least, promise to do) once in power. The key issues and topics that political parties and candidates talk about form as important a part in our democracies as vote shares.

In this brief, we use data collected by the Manifesto Project (Lehmann et al., 2022) to describe the development of political discourse across Europe, with a particular focus on the differences and similarities between western European countries and transition economies in Eastern Europe.

Political Manifestos as Data

In most countries, voters mainly participate in the democratic process by voting for candidates put forward by political parties. Political parties advertise themselves to voters and distinguish themselves from each other by issuing party programmes or party manifestos where they lay down their ideological and policy positions.

The Manifesto Project provides a publicly available dataset on parties’ policy platforms. The data are based on the manifestos of parties that have won at least one (Western Europe) or two seats (transition countries) in a national election. Coders manually analyse the content of the manifestos and provide the percentage of each party’s manifesto that falls into one of 56 content categories. These content categories summarise a party’s policy position on given issues, for instance, whether they favour environmental protection or an expansion of the welfare state or oppose protectionism or multiculturalism.

The Manifesto Project is an example of “text as data“. Quantitative analysis based on text is becoming increasingly important across the social sciences (Gentzkow et al., 2019) but it is particularly useful in political economy and political science given that “language is the medium of politics“ and objective numerical data are often limited (Grimmer and Stewart, 2013). Unlike many recent approaches which process data using automated text analysis tools, the Manifesto Project relies on the judgement of coders from over 50 countries who read the original text. The resultant dataset has limitations: the subjective choices made by individual coders, the to-some-extent arbitrary determination of content categories to summarise the most relevant issues across different contexts and time periods and the difficulty of imposing consistent classifications for texts written in over 40 languages. Despite these caveats, it is a unique resource for analysing the evolution of countries’ political discourse over time and across countries.

Key Issues in Political Discourse

Figure 1 summarises, through content categories, the policy positions of parliaments in Western Europe and transition countries at two points in time: the early 1990s (around the time of the first democratic elections in most transition countries) and after the latest election. We measure the importance of a policy position in a country’s parliament by weighting the importance of the relevant content category in each party’s manifesto by that party’s vote share. Over time, our measure of a policy position’s importance in political discourse may increase or decline for two reasons. First, parties may change the extent to which they emphasise a given position in their manifestos. For example, parties across the political spectrum are likely to have increased references to healthcare in their manifestos during election campaigns held during the Covid-19 pandemic. Second, as voters’ preferences shift, parties that gain support will see their issues receive greater weight in the aggregate measure relative to parties that lose vote shares. For example, if the pandemic shifted voters’ preferences towards a more comprehensive welfare system, voters could respond by voting for parties which discuss the expansion of the welfare state in their manifestos.

Figure 1. Policy positions of parties in parliament.

Source: The Manifesto Project and authors’ calculations.
Notes: This chart shows word clouds of the main topics that feature in the manifestos of political parties in parliament, weighted by each party’s vote share and averaged across countries within a region. Panels a and b are based on the first election after 1990 (and before 1995) and Panels c and d are based on the latest election (after 2015) in the sample. Western Europe includes Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom. Transition economies include Armenia, Azerbaijan, Bosnia-Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, Georgia, Hungary, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Romania, Russia, Serbia, Slovakia, Slovenia and Ukraine. Not all countries are represented in both periods.

Some striking patterns emerge. While the policy priorities of Western European parliaments remain relatively stable over the past 30 years, those of transition countries have changed markedly. During the transition period, many parties focused on the political and economic aspects of transition. Support for democracy, freedom and human rights, as well as the free market economy, featured heavily in the manifestos of parties that formed the first democratic parliaments. Over time, policy priorities in transition countries have become more similar to those of their western neighbours, and issues such as the expansion of the welfare state, the provision of education, and the importance of technology and infrastructure, have come to the fore in all countries.

Nevertheless, some differences still remain. For instance, environmental protection is one of the most important topics in western European parliaments, though its importance has declined over time. In transition countries, the environment is slowly becoming more important, but even in the latest elections it ranked at only number 16 out of 56 issues. In contrast, support for the “national way of life” was and continues to be a prominent part of the political discourse in transition economies and it is also becoming more mainstream in the Western European countries.

Political corruption and governmental and administrative efficiency have become relatively more important issues in the parliaments of transition countries, both over time and relative to their western neighbours. Meanwhile, parties in Western Europe are devoting more of their manifesto to calls for equality and social justice.

A Closer Look at Ukraine

A country’s parliament’s policy platform can change suddenly in response to shocks. Figure 2 shows the big topic groups in the manifestos of political parties in the Ukrainian parliament from 1998 to 2019. The parliamentary election in October 2014 closely followed the Euromaidan Revolution, the annexation of Crimea by Russia and the start of the Donbas war. Compared to the previous elections, external relations became a major issue in the Ukrainian parliament, driven in particular by increased mentions of the military and the relationship with the EU. Party manifestos heavily featured appeals to Ukrainian nationhood, national solidarity, and unity (as evidenced by the increasing importance of the content category “Fabric of Society”). The trend of increasing attention to freedom and democracy also continued in this election cycle. In contrast, the previously most important issues in elections (welfare and quality of life) received much less attention in parliament at times of political upheaval and military conflict.

Figure 2. Topics in Ukrainian elections.

Source: The Manifesto Project and authors’ calculations.
Notes: This chart shows the percentage of mentions of topic groups in the manifestos of political parties in the Ukrainian parliament from 1998 to 2019, weighted by each party’s vote share.

Distribution of Political Ideology

While the previous section discussed the main policy issues in parliament, we now turn our focus to the ideology of individual political parties that make up a country’s parliament. A commonly used summary measure of political ideology is a left-right scale (RILE), where left positions favour peace, state intervention in the economy and the expansion of the welfare state and right positions support security, traditional values and the free market economy. The Manifesto Project provides a RILE value for each party at each election (based on Laver and Budge, 1992), which is calculated by subtracting the share of a party’s manifesto devoted to left-leaning policy issues, for instance support for the welfare state, from right-leaning content, such as support for the free market economy. Condensing the complexity of party programmes into a one-dimensional measure based on fixed definitions has advantages and drawbacks. The RILE makes it possible to compare diverse political parties that campaign on different issues (for instance ecological parties compared to nationalist parties) and measure how the same party’s policy stance may have shifted over time. As the definition of left- and right-leaning issues were based on influential political theories around the 1900s, some scholars argue that this measure has become less appropriate to empirically differentiate between modern political parties, particularly in transition countries (see, e.g., Mölder, 2016). In particular, Tavits and Letki (2009) show that during the transition process many leftist parties in Eastern Europe pursued economically right-wing policies and Vachudova (2008) argues that right-wing parties in the region often appealed to a nationalist discourse.

With these caveats in mind, Figure 3 shows the distribution of all parties in parliament in the Manifesto Project database on the RILE scale, weighted by their respective vote shares. In Western Europe in the 1990s, the chart shows the prominence of both centre-left and centre-right parties, as well as smaller parties both on the more extreme left and right. In contrast, the parties in parliament in transition economies at the time were more concentrated in the centre (and slightly towards the right). Fast forward 30 years and the distribution of political ideology has changed in both the east and the west. In Western Europe, the majority of parliamentarians are now situated slightly right of centre with little mass in the more extreme tails. In contrast, in the former transition countries, there is evidence of political polarisation with party representation moving both to the left and the right on the ideological spectrum and relatively few parliamentarians occupying the centre.

Figure 3. Left-right position of parties in parliament.

Source: The Manifesto Project and authors’ calculations.
Notes: This chart shows the density of parties in parliament on the left-right policy scale (RILE), weighted by each party’s vote share within their country. The dashed lines are based on the first election after 1990 (and before 1995) and the solid lines are based on the latest election (after 2015) in the sample. Western Europe includes Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland and the United Kingdom. Transition economies include Armenia, Azerbaijan, Bosnia-Herzegovina, Bulgaria, Croatia, Czech Republic, Estonia, Georgia, Hungary, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Romania, Russia, Serbia, Slovakia, Slovenia and Ukraine. Not all countries are represented in both periods.

Conclusion

What are the main topics of political discourse? Are they different across countries? Do they change over time? While there is no perfect way to quantify and track political discourse over time, this brief uses data from parties’ manifestos provided by the Manifesto Project to illustrate some broad trends across Europe over the past 30 years.

We document two kinds of changes in the subject matter of party manifestos. First, there are gradual shifts in content that reflect underlying developments in society. As democracies have matured in Eastern Europe, the content of their parties’ manifestos has evolved away from the immediate concerns of economic and political transition and converged to those of Western European parties. Second, more abrupt shifts can arise when countries experience crises or institutional upheaval. Over the past decade Ukrainians have lived through a revolution, the Donbas war, and the ongoing Russian invasion. Most of the parties that represent them in parliament are new, and the issues that feature prominently in their manifestos are now markedly different from those before the Euromaidan revolution.

Manifestos are not just about substance but also about ideology. Using the Manifesto Project’s classification of parties on a left-right scale, we show how the distribution of parties has evolved in Western Europe and transition countries. By this measure, political polarisation has been increasing in transition countries where centrist positions are less well represented than in Western European parliaments.

References

  • Gentzkow, Matthew, Bryan Kelly, and Matt Taddy. (2019). “Text as data”, Journal of Economic Literature 57, no. 3: 535-74.
  • Grimmer, J., and Stewart, B. (2013). “Text as data: The promise and pitfalls of automatic content analysis methods for political texts”. Political analysis 21, no. 3: 267-297.
  • Lehmann, P., Burst, T., Matthieß, T., Regel, S., Volkens, A., Weßels, B. and Zehnter, L. (2022) The Manifesto Data Collection. Manifesto Project (MRG / CMP / MARPOR). Version 2022a. Berlin: Wissenschaftszentrum Berlin für Sozialforschung (WZB). https://doi.org/10.25522/manifesto.mpds.2022a
  • Laver, M. and Budge, I. (eds.). (1992). Party Policy and Government Coalitions, Houndmills, Basingstoke, Hampshire: The MacMillan Press.
  • Mölder, M. (2016). The validity of the RILE left–right index as a measure of party policy. Party Politics, 22(1), 37–48. https://doi.org/10.1177/1354068813509525
  • Tavits, M. and Letki, N. (2009). When Left Is Right: Party Ideology and Policy in Post-Communist Europe. American Political Science Review, 103(4), 555-569. doi:10.1017/S0003055409990220
  • Vachudova, M. A. (2008). Centre—Right Parties and Political Outcomes in East Central Europe. Party Politics, 14(4), 387–405. https://doi.org/10.1177/1354068808090252

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Spillover Effects from the Nordic Model of Prostitution Legislation

Posted on April 24, 2023 | Policy Brief

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In recent years several European countries alongside Canada and Israel have adopted the so-called Nordic model of prostitution legislation to try and reduce the risk of sexual exploitation. While the reforms directly affect the regulation of the domestic sex market, their effects may also spill over to other outcomes in nearby areas and internationally – for example affecting sex tourism flows. Making use of data on tourism flows and Google searches, a new study examines the causal effect from the implementation of the reform in four different countries on sex tourism in popular destinations. The findings indicate that domestic reforms increase sex tourism, calling for the design of policies to account also for these adverse effects.

Introduction

Since 1999, when Sweden introduced the so-called Nordic model of prostitution legislation, similar legislation has been introduced in Canada, Iceland, Ireland, France, Norway, and most recently Israel. While the legislation design differs between countries (for an overview see Perrotta Berlin and Spagnolo, 2019), the common foundation is to effectively criminalize the purchase but not the selling of sexual services. The introduction of such reforms aims at battling human trafficking and reducing the risk of exploitation. While the effect from the asymmetric prostitution legislation has been found to increase rape incidence in Sweden (Ciacci, 2018), when it comes to the sex market the Nordic model is mainly thought to affect it in two contrasting ways. Firstly, it may suppress domestic supply, which could result in people travelling to destinations where prostitution is not criminalized. Secondly, it might affect the general view on prostitution (Kotsadam and Jakobsson, 2011), thus reducing domestic demand as well as international sex tourism.

Sex tourism is associated with human trafficking, child exploitation and increased spread of sexually transmitted diseases (Herold and Van Kerkwijk, 1992; Brooks and Heaslip, 2019; Newman et al. 2011). Despite this, few studies have explored the impact of prostitution laws on the practice – in part due to measurement difficulties.

This brief presents evidence from a forthcoming paper by Perrotta Berlin and Latour on sex tourism patterns following the implementation of the reform in four different countries.

Quantifying Sex Tourism

Perrotta Berlin and Latour use tourism patterns and Google searches to quantify sex tourism flows, in order to evaluate the effect from changes in prostitution legislation in Canada, France, Ireland and Norway. Specifically, they use data on the number of monthly tourist arrivals to Thailand and The Philippines, and weekly Google searches originating from the above-mentioned reform countries for popular sex-tourism and other tourism destinations, including attractions within cities. German tourism data and Google searches originating from France as well as Google searches originating in the US are used to estimate the effect on sex tourism to bordering countries (France to Germany and US to Canada, respectively). To evaluate the respective effects, they identify treated and control groups for each considered setting, and proceed to compare data between these groups before and after the reform (in line with the so-called difference-in-differences specification, as pioneered by Card and Krueger, 1994). In the following sections, each of these specifications and the subsequent results are discussed.

Evident Spillover Effects

Thailand and The Philippines

For Thailand and The Philippines, monthly data was available on tourist arrivals differentiated by country of origin from 2013 to 2020 and from 2008 to 2020, respectively. The underlying assumption is that, absent a prostitution legislation reform in the four considered countries (Canada, Ireland, France and Norway), the tourism flows from the country in question to Thailand and The Philippines would have remained the same over time. Thus, the change in the number of tourist inflow (out of which an unknown number are sex tourists) from the country in question – when compared to the number of tourists from other countries used as the control group – can be interpreted as a causal effect from the legislative reform on sex tourism.

The results show that, when compared to tourists arriving from other countries, the number of tourists arriving from one of the countries having recently implemented the Nordic model increased by 0.312 and 0.158 standard deviation points for The Philippines and Thailand respectively. Figure 1 below illustrates the results from an event study specification, in which the reform dates in the four different countries are aligned at 0, depicting how the increase is spread over the two years following the reform.

Figure 1. Number of tourists before and after the reform, The Philippines to the left and Thailand to the right.

Notes: The horizontal axis is the time variable. Time is normalized such that 0 is the month when the reform came into force. On the left panel the vertical axis is the number of tourist arrivals to The Philippines from reform countries in deviation from control countries. On the right panel the vertical axis is the number of tourist arrivals to Thailand from reform countries in deviation from control countries.

France-Germany Border

In Germany, the legislative status of prostitution is determined at the level of municipality. For the analysis, German municipalities where prostitution is to some extent legal were considered to form the treatment group and municipalities where it is illegal constituted the control group. The outcomes of interest were i) tourists travelling to German municipalities of interest, and ii) Google searches from France for the same municipalities.

The analysis shows an increase in foreign tourism to the treatment municipalities following the implementation of the Nordic model of prostitution legislation in France.  At the same time, no changes in domestic tourism was detected. The conclusion that the increase in foreign tourism is driven by an increase in French tourists, by which one could then argue the implemented reform to increase cross-border sex tourism, was validated by the analysis of French Google searches. In these data it can be seen that distant German municipalities where prostitution is legal become relatively more interesting in French Google searches after the reform compared to municipalities where prostitution is illegal.

Figure 2. Searches of German municipalities originated in France relative their distance from the French border.

Notes: The vertical axis is the weekly index of Google Trends for searches for municipalities in Germany originated in France. The horizontal axis is distance from the French border. The red line shows that the slope decreased, i.e. distance became more salient for municipalities with illegal prostitution after the reform.

Canada-US Border

Data on Google searches for Canadian municipalities from one year before to one year after the reform in Canada were considered for the analysis. Searches originate in different US states, which also differ in the extent to which purchase of sexual services is legally punishable. The length of imprisonment in each US state determines whether a state was considered treated – when the length of imprisonment equals or exceeds that in Canada following the reform – or control. Results show that after the introduction of the Canadian reform, Google searches for Canadian municipalities dropped, in particular, in US states with high punishments for purchase of sexual services – most likely those where sex tourism to Canada used to originate before the reform. The results from the event study is depicted in Figure 3 below.

Figure 3. Number of searches of Canadian cities before and after the reform, deseasoned.

Notes: The horizontal axis is the time variable. Time is normalized such that 0 is the month when the reform came into force. The vertical axis is the number of searches from US states with high punishments in deviation from control states.

Sex Tourism Destinations

Finally, Google Searches for sex tourism destinations were considered as the outcome variable with the underlying idea being that – in the absence of a legislative change in the four considered countries – the difference in number of searches for sex tourism vs tourism destinations would have been the same over time. Sex tourism destinations were defined in two alternative ways: first, a list of popular destinations was selected within countries where prostitution is legal; second, this list was augmented with information from websites that list popular destinations for sex tourism, regardless of the legal status of prostitution in that country.

The results from this analysis are less clear, varying with the definition of sex tourism destinations and with the country of origin. But by and large they showed, if anything, that the interest in sex tourism destination countries decreased after the reform. This might indicate a change in attitudes towards lower acceptance of sex trade in general in the countries where the reform was implemented.

Conclusion

Prostitution legislation reforms affect the domestic sex market and have potential cross-border and international spillover effects. One such impact from criminalizing the purchase of sexual services domestically is increased levels of sex tourism, which might in turn impose adverse effects on the destination countries.

Filling a research gap by studying the effect from introducing asymmetric prostitution laws on sex tourism, Perrotta Berlin and Latour find evidence suggesting that harsher domestic regulation, while potentially changing attitudes in the general population (as indicated by Google Searches) also, in specific cases, increases, the outflow of tourists to destinations with less stringent laws.

After the introduction of the Nordic model, Norway has imposed legislation prohibiting their citizens to purchase sexual services even in countries where it is legal and implemented awareness campaigns on the detrimental effects of sex tourism on local populations. Given that sex tourism is associated with human trafficking, child exploitation and increased spread of sexually transmitted diseases, the results call for other countries to follow suit with domestic prostitution legislation taking on a more global approach to achieve greater effectiveness.

References

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Russia’s Data Warfare

Posted on April 18, 2023 | Policy Brief

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After Russia’s invasion of Ukraine in February 2022, a broad spectrum of previously publicly available statistics on economic indicators has been removed from the public eye. This reduced transparency affects any analysis of the state of the Russian economy and assessments of the effects of sanctions. The strategy is also part of a larger disinformation campaign that has become an integral part of Russia’s war on Ukraine. In this brief we provide a short overview of the main indicators on economic activity that have been masked in various forms by Russia’s data producing institutions. We also touch upon some alternative strategies, employed to gain a better understanding of the actual state of the Russian economy while official data is unavailable or unreliable.

Following Russia’s war on Ukraine, Russia has ceased to publish large amounts of previously publicly available statistics on economic indicators. This reduced transparency affects any attempts to analyze the Russian economy with regular data and models, and is an integral part of the information war that has followed Russia’s aggression. In particular, it aims to reduce or obscure the analysis of the effects of sanctions that have been imposed on Russia by Ukraine’s partners. The reduced precision of this analysis is then used in various propaganda channels to claim that sanctions are useless and that they are, instead of hurting Russia, harming the EU, the US and other sanctions implementing countries.

In this brief we present a short overview of some of the most important statistics on Russia’s economic performance no longer publicly available (with a detailed list to be found in the Online Appendix). We also discuss some alternative measures to track the Russian economy which can be used to provide more accurate assessments of the effect of sanctions and thus reduce the impact of Russia’s data warfare.

What Data is Being Masked?

Russia’s cessation of statistical publications has occurred across several dimensions including foreign trade, budget, and finance.  Most notably, data has been masked by the Central Bank of the Russian Federation (CBR), the Ministry of Finance of the Russian Federation (Ministry of Finance), the Federal State Statistics Service (Rosstat) and the Federal Customs Service of Russia.

Budget Data

Data on federal and consolidated budgets in Russia was previously easily accessible on the Ministry of Finance’s and Rosstat’s webpages.

The Ministry of Finance has however, as of January 2022, ceased publishing data on budget expenditures. This includes monthly data for a wide range of budget expenditure categories such as spending for public administration, national defense and law enforcement, environmental protection, education, healthcare, social politics, mass media and culture. This data is no longer available despite the webpage for budget expenditures being updated as late as March 17th 2023.

Data on certain budget indicators is also missing on Rosstat’s webpage. While statistics on taxes, fees and other mandatory payments are available for 2022, budget expenditures are available only for 2021. This is however not surprising given that Rosstat receives its figures on the financial sector, including figures on public finances partly from the Ministry of Finance.

Foreign Trade Data

Foreign trade statistics is normally published by the Federal Customs Service of Russia, CBR and Rosstat.

Since the invasion, the Federal Customs Service of Russia has however stopped publishing statistics on foreign trade and commodity structure. The latest available monthly data on Russian foreign trade with its main partners (the EU, Commonwealth of Independent States countries and others), and the commodity structure of exports and imports – including processed goods and oil and gas – is from January 2022 (as of April 3rd 2023).

Foreign trade data from CBR has been withheld throughout 2022. CBR has however recently resumed parts of their publications and, as of April 3rd 2023, monthly data on total export and import is available for all of 2022 as well as for January 2023. Still, these figures display total exports and imports only and are not broken down by trade partner or commodity.

Similar to CBR’s publishing pattern, figures on export and import as part of GDP by use were unavailable on Rosstat’s webpage from February 2022 and throughout the year.  As of April 7th 2023, quarterly aggregated data is however available for all of 2022.  Monthly data on export and import by country is nonetheless still available only for 2021, despite the webpage being updated in November 2022.

Financial Data

To provide information on the national finance system and its dynamics is a main tasks of any country’s central bank, with Russia being no exception. Despite this there are about 40 financial indicators that, since the beginning of 2022, are no longer available on CBR’s webpage (as of April 3rd 2023). This contravenes CBR’s calendar, which states that statistics are supposed to be published in the next reporting period, i.e. the next quarter/month for quarterly and monthly data respectively.

The most deferred data (more than 20 indicators) can be found, or rather can’t be found, in the so-called External Sector Statistics category. For example, monthly data on balance of payments, remittances and financial transactions in the private sector, and international investment position of the banking sector is missing as of January 2022. Similarly, quarterly data on foreign investments, foreign assets and liabilities in the banking sector has been unavailable since January 2022. The same goes for data on external debt of the corporate sector of the Russian Federation in the form of loans, credits and deposits raised as a result of non-resident placement of Eurobonds and other debt securities.

In the so-called Banking Sector Statistics category, data on indicators such as assets, risks, operational data, international reserves and volume of FX operations is no longer available. Furthermore, figures on turnover of the interbank spot and forward markets have also been unavailable since February 2022.

Two comments are due considering the ease of access to above mentioned data/data sources. Firstly, in order to access the CBR’s and the Federal Customs Service of Russia’s webpages, one at times needs make use of a Virtual Private Network (VPN). Secondly, there are, for all sources mentioned, large discrepancies between the Russian language and the English language webpages, with the latter being severely patchier in its information.

Hiding Data: Reasons and Implications

What drives the authorities to mask seemingly relevant figures? Alexandra Prokopenko, an expert on Russian economic policy, argues that Russian authorities mask certain numbers related to the sanctions to impede evaluations of the effect of sanctions (Prokopenko 2023). Making the data less transparent and accessible in order to hide sanctions’ effect across various sectors to try and paint a better picture of the economic activity has also been a Russian policy goals. The head of the Federal Customs Services, Vladimir Bulavin, in April 2022 announced trade statistics were masked partly to “avoid […] speculation and discrepancies in import deliveries” (Uvarchev, 2022).

In this context, it is worth mentioning that Russia is obliged to report to the International Monetary Fund (IMF) on several of the previously discussed indicators since the country is subscribing to the Special Data Dissemination Standard (SDDS) as of 2005. SDDS aims at providing transparent economic and financial data to the public and according to the IMF “Serious and persistent nonobservance of the SDDS, therefore, will be cause for action” (IMF, 2023). If Russia does not publish data according to the SDSS commitments, it could be excluded from the list of countries that subscribe to the SDSS.  This affects how the country is viewed by investors and others and will further increase the risk premia that is applied to dealing with Russia.

Further, in its efforts to restrict insight into how the Russian economy is faring following the sanctions, the authorities have however created a large uncertainty also for Russian domestic markets, adding to the sanction’s effects. For instance, Elvira Nabiullina, Russia’s Central Bank Governor, has been arguing to revoke the decision to classify large amounts of data saying that investors, analysts and researchers simply need the data to do their work properly (CBR News, 2023).

Alternative Ways of Understanding the Real State of the Russian Economy

How can we learn about the state of affairs in Russia without the previously discussed data? While deducing Russia’s budget expenditures and many financial indicators may be cumbersome, more can be done when it comes to trade data. Specifically, a BOFIT Policy Brief by Simola (2022) proxied Russia’s imports and exports by tracking the imports of Russia’s main trading partners (17 economies) between March and June 2022. Similar proxying efforts have been made by Darvas, Martins and McCaffrey (2023), who tracked Russia’s foreign trade by considering detailed trade data from China, the United States, South Korea, Japan, India, the United Kingdom, Turkey and the EU, putting together publicly available datasets which span from January 2019 to January 2023.

Proxying trade data by considering trade partner’s statistics is emphasized by Sonnenfeld et al. (2022), who not only considers such data but rather a wide variety of available and reliable data sources – emphasizing the need to also crosscheck data from official Russian statical sources with more reliable ones (for a full overview of the methodologies used, the estimated indicators on the Russian economy and the implications from this, see Sonnenfeld et al. 2022).

Other efforts to map out Russia’s economic activity consider more creative methods such as using satellite data and/or ship location (AIS) data. Examples of such efforts include a recent Bruegel dataset which tracks Russian crude oil trade (Heusaff et al., 2023) and CREA’s “Russia Fossil Tracker”. For both examples, the authors utilize the location data for individual crude oil tankers, and (for Heusaff et al. 2023) combine it with data from OPEC, BP and Eurostat, to assess monthly crude oil exports from Russia to a set of major destinations (mainly the EU, China and CIS countries).

Similarly, satellite data has been previously used to estimate carbon emissions from flaring (Böttcher et al., 2021). While there is an ongoing debate on whether flaring can be trusted to give insight into gas and oil production (World Bank, 2023), one could potentially make use of such data to get a better view of the productivity within the Russian oil and gas sector following the imposed price cap mechanism and sanctions.

The struggle of creating reliable estimates for an economy polishing or masking information did not arise with the withdrawal of certain Russian statistics. The actual status of the North Korean economy remains much of a mystery to analysts (see The Economist) as the country, in 2017, was yet to publish a Statistical Yearbook. While Russia is far from North Korea in several aspects, the reality is that the alternative measures used to estimate North Korea’s economic activity (such as making use of Chinese trade data etc.) are partly the ones now being undertaken by analysts looking beyond the figures from Kremlin.

Conclusion

Russia’s decision to stop publishing regular economic data is part of the disinformation and propaganda efforts that are integral parts of its war on Ukraine, with the purpose being to complicate any analysis of what is going on in the Russian economy. While being partially successful in this regard, the data withholding likely creates further negative implications for Russia’s external economic relations and undermines the functioning of its domestic markets.

Given the lack of data following Russia’s disinformation efforts it is essential that any analyst concerned with mapping the Russian economy not only considers alternative but also multiple sources and consult experts with a plethora of competencies. Already today, new creative ways of getting hold of relevant data is providing increasing insight into the state of the Russian economy. With continued efforts, these measures will progress over time, improving our understanding of how sanctions affect the Russian economy.

Online Appendix

An overview of all indicators discussed in this brief can be found in the Online Appendix. The information in the Appendix is valid as of April 7th 2023.

References

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Media Coverage and Pandemic Behaviour: Evidence from Sweden

Posted on April 12, 2023 | Policy Brief

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Individual behaviour can often have wider societal consequences and it is important to understand how to affect positive behavioural change. In this policy brief, we document the ability of the media to increase pro-social behaviour during a public health crisis. In Garz and Zhuang (2022), we collect a unique dataset of 200,000 newspaper articles about the Covid-19 pandemic from Sweden – one of the few countries that did not impose mandatory lockdowns or curfews but largely relied on voluntary social distancing. We show that mentions of Covid-19 significantly lowered the number of visits to workplaces and retail and recreation areas, while increasing the duration of stays in residential locations. The impacts are largest when Covid-19 news stories were more locally relevant, more visible and contained simple and explicit public health advice. These results have wider implications for the design of public communications and the value of the local news media.

The Covid-19 pandemic had devastating health and economic consequences for the entire world (see, for instance, the COVID19 | FREE Network Project for more information on the pandemic experience of the FREE network countries). To stop the spread of the virus, many governments imposed curfews or lockdowns. These mandatory restrictions on people’s movements were and remain controversial. In several countries, these public health policies fuelled conspiracy theories and led to protests and refusals to adopt other protective measures, such as wearing face masks. The policies have also been criticised for placing the burden disproportionately on the poorest members of society, many of whom lost their livelihoods due to the restrictions.

Sweden is one of few countries in the world that did not to impose any lockdowns or curfews. Instead, the Swedish strategy relied on voluntary compliance with public health recommendations aimed at reducing mobility and encouraging social distancing (for FREE policy briefs featuring in-depth discussions of the Swedish pandemic response and experience, see Becker et al., 2020; Hauser, 2020a; Hauser, 2020b; Campa, Roine and Strömberg, 2021; Berlin, 2020.) This strategy was by and large effective, with Sweden seeing similar falls in average mobility in 2020 compared to its Scandinavian neighbours which however imposed strict lockdowns.

What are the drivers of voluntary compliance? A recent SITE working paper “Media Coverage and Pandemic Behaviour: Evidence from Sweden” by Marcel Garz (Jönköping University) and Maiting Zhuang (SITE, Stockholm School of Economics) sheds light on this question. We show that news coverage of the pandemic could have played an important role in shaping public opinion, social norms and ultimately individuals’ health-related actions in Sweden. In this brief, we summarise our approach and findings, and discuss important policy insights.

Data

We collect close to 200,000 newspaper articles about Covid-19 from Swedish newspapers during 2020, which represents almost all newspaper coverage of the pandemic during that year in Sweden. Newspapers remain a major source of information in Sweden, where close to two thirds of the population are regular newspaper readers. We analyse the full texts of articles to identify which aspects of news coverage have the largest impact on behaviour. Figure 1 shows Covid-19 coverage in Swedish newspapers in 2020.

Figure 1. Newspaper coverage of Covid-19

Source: Retriever and authors’ calculations. This graph shows the number of articles including “coronavirus* OR covid*” on a given day, weighted by newspaper circulation. The grey solid lines are local polynomial smooths with 95 percent confidence intervals.

As our main outcome variable, we use Google Community Mobility Report data – anonymous data on the number (or duration) of visits to different types of locations (such as retail and recreation, workplaces, or residential) within a municipality.

Figure 2. Workplace and residential mobility

Source: Google and authors’ calculations. These graphs show the daily percentage change in mobility compared to median values between January 3 to February 6, 2020. The grey solid lines are local polynomial smooths with 95 percent confidence intervals.

Method

We want to study whether reading news concerning Covid-19 affected people’s decisions to reduce their own mobility in Sweden. However, determining the effect of the media on behaviour is difficult for several reasons. First, people choose what media to consume and most often tend towards media outlets that confirm their existing views. Second, there could be factors that determine both media coverage and behaviour.

In our paper, we address the first concern by carefully choosing our data. If we found that people who read more about Covid-19 in newspapers are also more likely to reduce their mobility, this could be driven by many different individual factors, such as how worried a person is about the pandemic. Instead, we measure exposure to Covid-19 news using data on the number of subscriptions every newspaper sells in each municipality. As newspaper subscriptions are annual and were decided before the pandemic, this measure of Covid-19 news exposure should not be correlated with individuals’ beliefs about the pandemic.

The second concern is more relevant, as it is likely that media coverage and individual mobility are both driven by the spread of the pandemic. To alleviate this concern, we adopt several strategies. The first is that we take into account local pandemic severity using a range of different measures, including excess deaths, infections, Covid-19 deaths at different geographic units and with different time lags.

Our second strategy relies on the fact that Swedish newspapers typically circulate in multiple municipalities, but are more likely to respond to events in municipalities where more of their subscribers live. We use an instrumental variable (IV) approach where we use the circulation-weighted excess mortality in a newspaper’s distribution area as the IV. This IV is a strong predictor for the amount of Covid-19 coverage by that newspaper but should not affect mobility in a target municipality – conditional   on the pandemic severity in the municipality itself. We also show that our results hold in a sample of “peripheral” municipalities, that is municipalities that only form a small percentage of any newspaper’s subscriber base, but where these newspapers are nonetheless major sources of information.

Results

We find evidence that media coverage of the pandemic increases compliance with the main public health recommendation to work from home in Sweden. More newspaper articles about Covid-19 on a given day and in a given municipality is associated with increased residential mobility and lower workplace mobility (Table 1), as well as fewer visits to retail areas and recreational facilities. This pattern remains even when controlling for the severity of the pandemic at the local level. The results are robust using different methods and data.

Table 1. Effect of Covid-19 coverage on workplace and residential mobility

Source: Retriever, Google, SMHI, MPRT and authors’ calculations. Observations are at the municipality-day level. The dependent variables are percentage changes in Google mobility for workplaces (columns 1 and 3) and residential areas (columns 2 and 4) relative to the baseline. The main regressor is the circulation-weighted number of Covid-19 articles. Columns 3 and 4 show IV results using the interaction between weighted excess deaths across a newspaper’s circulation area and newspaper exposure as the IV. Local pandemic severity is the latest available excess deaths figure in the municipality at the time of newspaper publication. All regressions control for municipality and day fixed effects. Standard errors in parentheses are clustered by municipality. Significance at the 1%, 5% and 10% is denoted by ***, ** and *, respectively.

The type of coverage matters. Behaviour responds the most to personally relevant news that is easy to understand and visible. In particular, Covid-19 articles which explicitly mention the affected municipality have a larger impact on mobility than, for instance, articles that only relate to developments abroad. There are larger impacts of more factual compared to more subjective reporting. Articles that contain direct and explicit public health advice have a large impact on individual behaviour. In contrast, articles that mention medical experts have a smaller impact on individual behaviour – likely due to the complexity of the language used.

We also find a greater impact on individual behaviour in response to more visible Covid-19 stories, such as articles on the front page or articles whose headlines mention the pandemic. These results are consistent with media coverage not just increasing the salience of the pandemic and reminding individuals to follow official guidelines, but also providing relevant information. Despite fears that the large amount of press coverage could lead to individuals avoiding news about the pandemic, we find little evidence for media fatigue except at very high levels of coverage.

Conclusion

In Garz and Zhuang (2022), we study the effects of media coverage on individual behaviour during a public health crisis. We focus on Sweden, a country that did not impose any lockdowns or curfews during the Covid-19 pandemic and where newspapers remain an important source of information. Using close to the universe of all Swedish newspaper articles about Covid-19 in 2020, we find that media coverage of the pandemic encouraged people to stay at home. The effect is largest when news stories are of local relevance and contain explicit public health advice. These results have important implications for the design of future public communication strategies that aim to foster behavioural change.

We also find little evidence of media fatigue or a preference of opinion pieces relative to factual reporting when it comes to Covid-19 in Sweden. While there has been much discussion about misinformation and media bias during the pandemic, our paper shows a positive effect of the local news media in terms of encouraging voluntary adherence to public health measures.

More broadly, our study adds an important dimension to the policy discussion about the decline of local news, beyond local political accountability and community participation. We find that local news remains an important source of local information, and that personally relevant information is more important for behavioural change. A lack of trusted local media could adversely affect compliance with government recommendations during a crisis, as well as a range of other campaigns, such as those encouraging the take-up of vaccines or adoption of more environmentally friendly behaviours.

References

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Exploring the Impact from the Russian Gas Squeeze on the EU’s Greenhouse Gas Reduction Efforts

Posted on March 14, 2023 | Policy Brief

20220727 Hedging EU Winter Risk 02

Throughout 2022, the reduction in Russian gas imports to the EU and the resilience of European energy markets have been subject of significant public discourse and policy-making. Of particular concern has been the EU’s ability to maintain its environmental goals, as substitution from Russian pipeline gas to liquified natural gas and other fuels such as coal, could result in increased emissions. This brief aims to reevaluate the consequences from the loss of Russian gas and the EU’s response to it on greenhouse gas emissions in the region. Our analysis suggests that the energy crisis did not result in a rise in emissions in 2022. While some of the factors that contributed to this outcome – such as a mild winter – may have been coincidental, the adjustments caused by the 2022 gas squeeze are likely to support rather than jeopardize the EU’s green transition.

Energy markets in Europe experienced a tumultuous 2022, with the Russian squeeze on natural gas exported to the region bringing a major shock to its energy supply. Much attention has been devoted to the effects of the succeeding spiking and highly fluctuating energy prices on households’ budget and on the production sector, with numerous policy initiatives aimed at mitigating these effects (see, e.g.,  Reuters or Sgaravatti et al., 2021). Another widely discussed concern has revolved the consequences of the gas crisis – such as switching to coal – on the EU’s climate policy objectives (see e.g. Bloomberg or Financial Times). In this brief, we analyze and discuss to what extent this concern turned out to be valid, now that 2022 has come to an end.

We consider greenhouse gas (GHG) emissions stemming from the main strategies that allowed the EU to weather the gas crisis throughout 2022 – namely the substitution from Russian gas to other energy sources. These strategies include increased imports of liquified natural gas (LNG), a lower gas demand, and an increased reliance on coal, oil, and other energy sources. We also discuss the implications of the crisis for climate mitigation in the EU and try to draw lessons for the future.

Substitution to LNG and Pipeline Gas from Other Suppliers

Prior to 2022, Russian natural gas largely reached Europe by pipeline (92.4 percent in 2021 according to Eurostat). More than half of these pipeline imports, 86 billion cubic meters (bcm), were lost during the 2022 Russian gas supply squeeze, predominantly through the shut-down of both the Yamal and the Nordstream pipelines. 57 percent of this “missing” supply was met through an increase in LNG imports from several countries, the largest contributor being the U.S. Another 27 percent of the “missing Russian gas” was substituted by an increase in pipeline gas imports from other suppliers, with the UK (20 percent) and Norway (7 percent) taking the lead.  A substantial part of the replaced gas was stored, rather than combusted. With this in mind, here we concentrate on the upstream emissions associated with this change – i.e., emissions that occurred during the extraction, processing, and transportation. The change in the combustion emissions is postponed to the next section.

There is an ongoing debate in the literature on whether the greenhouse gas pollution intensity of LNG is higher or lower than that of gas delivered through pipelines – prior to final use. In comparison to pipeline gas, LNG is associated with emissions resulting from energy-intensive liquefaction and regassification processes in upstream operations as well as with fuel combustion from transportation on ocean tankers. For both LNG and pipeline gas it is also crucial to consider fugitive methane emissions, as methane has up to 87 times greater global warming potential than carbon dioxide in the first 20 years after emission, and up to 36 times greater in the first 100 years. One source of methane emissions is leaks from the natural gas industry (both “intentional” and accidental) since methane is the primary component of natural gas. Both LNG and pipeline gas infrastructure are subject to such leaks, and the size and frequency of these leaks during transportation varies greatly depending on the technologies used, age of infrastructure, etc. Further, the risk of these leaks may also be different depending on the technology of gas extraction.

Currently there is limited knowledge about the size of greenhouse gas emissions, including methane emissions resulting from leaks, from specific gas projects. Until recently, most estimates were based partially on self-reported data and partially on “emission factors” data. Modern and more reliable methods, for instance satellite-based measures for methane emissions, suggest that the resulting figures are greatly underestimated (see, e.g., Stern, 2022; IEA; ESA) but the coverage of these new estimates is currently limited.

As a result, there is considerable disagreement in the literature on the emissions arising from Russian pipeline gas imports vs. LNG imports to the EU. For example, Rystad (2022) argues that the average LNG imports to Europe have a CO2 emission intensity that is more than 2.5 times higher than that from pipeline gas from Russia (although they do not explicitly state whether these figures include fugitive methane emissions). On the contrary, Roman-White et al. (2019) suggest that the life-cycle GHG emission intensity of EU LNG imports (from New Orleans) is lower than EU gas imports from Russia (via the Yamal pipeline).

For the purposes of this exercise, we choose to rely on middle-ground estimates by DBI and Sphera, which assess GHG emission intensity along different Russian gas import routes (DBI, 2016) and across different LNG suppliers to the EU (Thinkstep –  Sphera, 2020). This allows us to account for substantial heterogeneity across routes.

We also account for the change in upstream emissions associated with the switch from imports of pipeline Russian gas to pipeline gas imports from Norway and the UK. For this, we approximate the GHG emission intensity of the new flows using the estimate suggested by Thinkstep –  Sphera (2017).

The results of our assessment are presented in the top three rows of Table 1. They suggest that a substitution from Russian gas imports to LNG imports and pipeline imports from other sources resulted in an increase in upstream GHG emissions by approximately 14 million tons (Mt) of CO2eq. Details on calculations and assumptions are found in the online Appendix.

Table 1. Change in EU GHG emissions resulting from Russian gas squeeze.

Source: Authors’ own calculations based on DBI (2016), McWilliams et al. (2023), Sphera (2017; 2020), and IEA (2022). See the online Appendix for more details on assumptions, calculations, and sources. Note: Billion cubic meters (bcm) and terawatt-hours (TWh).

The Decline in Gas Demand and the Switch to Other Fuels

A decrease in gas use in the EU constituted another response to the Russian gas squeeze. Gas demand in the EU is estimated to have declined by 10 percent (50 bcm or 500 TWh) in 2022 with respect to 2021 (IEA, 2022). Part of this decline was facilitated by switching from gas to other polluting fuels, such as oil and coal. The extent to which switching occurred however differed across the three main uses of gas; power generation, industrial production, and residential and commercial use. Below we discuss them separately.

Power Generation

At the onset of the 2022 energy crisis, a prevalent expectation was that there would be significant gas-to-coal switching in power generation. However, gas demand for power generation, which accounts for 31.4 percent of the gas demand from EU countries (European Council), increased by only 0.8 percent in 2022 (EMBER, 2022, p.29), implying that there was no direct substitution from gas-fired to coal-fired generation.

One of the reasons to why there was no major switching to coal in spite of the increase in gas prices is that CO2 emissions are priced in the Emissions Trading System (ETS) program, and the average carbon price has been growing recently, reaching an average of around €80/ton in 2022.  Given that coal has a higher emission intensity than gas, the carbon price increases the relative cost of coal versus gas for power generators.

Instead, the decline in demand came from industry, residential and commercial use, which together account for nearly 57 percent of the EU’s gas demand (European Council).

Industry Use

For the industry, IEA calculations (2022) suggest a demand drop of 25 bcm, which would correspond to approximately 50 Mt CO2eq. However, half of the industrial gas reduction came from gas to oil switching. Based on our estimates, this switch implies an additional 41 Mt CO2eq emissions, considering both upstream emissions and emissions from use in furnaces (assuming this to be the prevalent use of the oil that substituted gas, see McWilliams et al., 2023). The remaining half of the industrial demand decline resulted from energy-efficiency improvements, lower output, and import of gas-intensive inputs where possible (ibid.). These changes are either neutral in terms of life-cycle emission impact (import increases) or emission-reducing (efficiency improvements and lower output).

Residential and Commercial Use

Residential and commercial use represented the remaining part of the 500 TWh gas demand decline. In this case, lower gas demand is unlikely to imply massive fuel switching to other fossil fuels, simply because of the lack of short-term alternatives. For example, European households use gas mostly for space heating and cooking, and albeit both higher use of coal for home-heating (BBC) and a surge in installations of heat pumps (Bruegel, 2023 and EMBER, 2023) have been reported, the net change in emissions resulting from these two opposite developments is likely relatively minor as compared to other considered sizeable changes.

The Rise of Coal

As observed, there was no direct switch from gas to coal in European power generation. However, coal generation in the EU did increase by 6 percent in 2023 (IEA, 2022), to help close the gap in electricity supply created by the temporary shut-down of nuclear plants in France and the reduced performance of hydro. In our calculations we assume that in a counterfactual world with no Russian gas squeeze, gas-fired electricity would have covered most of the gap that was instead covered by coal. Therefore, we estimate that, as an indirect result of the Russian gas squeeze in 2022, CO2eq emissions increased by 27 Mt, specifically because of the ramp-up in coal generation (see the second section in Table 1).

Gas Shortage and the EU’s Climate Objectives

In recent years, the EU has made substantial progress in climate change mitigation. Despite widely expressed concerns, it achieved its 2020 targets – reducing emission by 20 percent by 2020, from the 1990 level. However, its current target of a 55 percent net GHG emission reduction by 2030, requires average yearly cuts of 134 Mt CO2eq, from the 2021 level. This is an ambitious target: while the emission cut between 2018 and 2019 exceeded this level, the average yearly cut between 2018 and 2021 however fell short (Eurostat).

The question is if the Russian gas squeeze can significantly undermine the EU’s ability to achieve these climate goals?

First, based on our assessment above, the changes prompted by the Russian squeeze – namely a move from pipeline-gas to LNG, a decline in gas demand and an increase in coal and oil use – made 2022 emissions decline by 18 Mt CO2eq. This suggests that the energy shock prompted overall emission-reducing adjustments in the short run. One important question that arises from this is therefore how permanent these adjustments are.

The increased reliance on LNG (and other gas suppliers) is likely to be permanent as a return to imports from Russia is hardly imaginable and as the 2022 surge in LNG imports entailed significant investments and contractual obligations. According to our estimates, overall, this shift is going to cause a relatively modest increase in yearly CO2eq emissions, approximately 10 percent of the needed emission reduction outlined above. Moreover, this is accounting for emissions throughout the EU’s entire supply chain – which is increasingly advocated for, but not currently applied in the typical emission accounting. It is, of course, important to make sure that ongoing LNG investments do not result in “carbon lock-ins”, postponing the green transition.

The decline in gas demand is a welcome development for climate mitigation if it is permanent. Part of the decline, from improved energy efficiency or installation of heat pumps, is indeed permanent. However, European households also responded temporarily (to warmer than usual winter and high gas prices (for instance by reducing their thermostats). Their behavior in the near future will therefore depend on the development of both these variables.

Overall, our assessment is that the Russian gas squeeze did force some adjustments in demand that might translate into a permanent decline in greenhouse gas emissions.

The question however remains of how the shortage of gas can be met in a scenario with higher gas demand due to, for instance, colder winters. In terms of climate objectives, it is of paramount importance that coal-powered generation does not increase (which would happen if, for instance, the price of gas continues to raise due to shortages). In this sense some lessons can be learned from the response to the shortage in electricity supply following the exceptional under-performance of nuclear and hydro in 2022. Wind and solar, which provide the lowest-cost source of new electricity production, in combination with declines in electricity demand, were able to cover 5/6 of the 2022 shortage created by the nuclear and hydro shock (EMBER, 2023), thus relegating coal to a residual contribution. We expect this pattern to emerge also in the future in the presence of other crises. However, we also caution that the lower production of electricity was at least partially caused by the dramatic heatwaves and droughts experienced throughout the summer in Europe. These events are likely to happen more often in the face of climate change. European policy-makers should therefore carefully assess the capacity of the EU energy system to address potentially multiple and frequent shocks with minimal to no-reliance on coal, in a scenario where also reliance on gas needs to be in constant decline given the Russian gas squeeze and unreliability.

Finally, the dramatic circumstances of 2022 led the EU to adopt the REPowerEU plan, which outlines financial and legal measures to, among other things, speed up the development of renewable energy projects and induce energy-saving behavior.

The outlined observations lead us to conclude that the Russian gas squeeze is ultimately unlikely to sizably reduce the chances of the EU reaching its climate goals, suggesting that the 2022 concerns in this regard were somewhat exaggerated. Nonetheless, learning from the costly lessons of the 2022 energy crisis is crucial for efficient policy making in the future.

References

Online Appendix

Disclaimer: Opinions expressed in policy briefs and other publications are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.