Tag: exports

Russian Wheat Policies and Georgia’s Strategic Trade Policies

20240310 Wheat Policies Trade Policies Image 01

Russia is known for periodically halting its grain exports to impact global wheat prices. This has become a significant policy concern in recent years, most notably during the Covid-19 pandemic and in the wake of Russia’s war in Ukraine. Georgia heavily depends on wheat imports, and over 95 percent of its wheat has historically been sourced from Russia. Despite Russia’s periodic bans and restrictions on wheat exports occurring every 2-3 years, Georgia is yet to effectively diversify its sources of wheat imports. This policy brief analyses the impact of Russia’s most recent wheat policies on Georgia’s wheat market, examines Georgia’s response, and provides policy recommendations in this regard.

In June 2023, the Georgian government introduced a temporary import duty on wheat flour imported from Russia in response to requests from the Georgian Flour Producers Association. The association began advocating for an import duty after Russia, in 2021, imposed a so-called “floating tariff” on wheat which made it relatively more expensive to import wheat in comparison to wheat flour. As a result of the “floating tariff” on wheat, wheat flour imports skyrocketed and almost fully substituted wheat imports. Eventually, many Georgian mills shut down and local wheat producers struggled to sell domestically produced wheat. Such an increase in flour imports raises the risk of completely replacing domestically produced flour with flour imported from Russia.

To address the above, the government has implemented a temporary import duty of 200 GEL (75 USD) per ton on wheat flour imported from Russia (the average import price ranges between 225 USD/ton and 435 USD/ton). In turn, millers have agreed to purchase 1 kilogram of wheat from Georgian farmers for 0.7 GEL (0.3 USD). This policy measure is in effect until March 1, 2024.

The Georgian Flour Producers Association advocates for an extension of the temporary import duty beyond March 1, 2024, to uphold fair competition in the wheat and flour market. According to the Georgian Flour Producers Association, an extension is desirable due to the following (Resonance daily, 2024):

  • Under the import duty, fair competition between wheat flour and wheat has been restored, and Georgian mills have resumed their operations.
  • Following the government intervention, farmers have successfully sold over 50,000 tons (on average half of the annual production) of domestically produced wheat. The Ministry of Environmental Protection and Agriculture has reported a 60 percent increase in local wheat production over the past two years, with expectations of sustained growth.
  • Wheat imports have resumed, with Georgia importing 20,000 to 25,000 tons of wheat monthly, while prior to the government intervention, the average monthly wheat imports amounted to 15,337 tons (in 2022). Additionally, 8,000 to 12,000 tons of wheat flour, on average, are also imported monthly, while in the absence of government intervention, wheat flour imports surged to over 15,000 tons (in 2022).
  • Post-intervention, the price of 100 kilograms of first-quality flour has remained stable, ranging from 45 to 49 GEL. Consequently, the price of bread has not increased but remains steady.
  • The import duty has generated an additional 20 million GEL in government revenue.
  • Through the efforts of the mills, the country now enjoys a steady and strategically managed supply of wheat, in accordance with UN recommendations. Coupled with the seasonal harvest of Georgian wheat, this ensures complete food security in any unforeseen critical scenario.

While many arguments support the decision to preserve the import duty on wheat flour, in order to make an informed decision on that matter, it is essential to thoroughly assess production, trade and price dynamics in the wheat market in Georgia. Additionally, to design adequate trade policy measures, one has also to consider the issue in a broader perspective and assess the risks associated with a high dependency on Russian wheat, especially given Russia’s history of imposing wheat export restrictions.

Russian Policy on the Wheat Market

Russia has long been one of the dominant players on the global wheat market, and its periodic decisions to halt grain exports have heavily affected international wheat prices (see Table 1). This concern became especially stringent in recent years, during the Covid-19 pandemic and Russia’s war in Ukraine.

Table 1. Russia’s policy interventions in the wheat market and their estimated impact on wheat prices, 2007-2023.

Source: United States Department of Agriculture, 2022.
The Government of the Russian Federation.
The Kansas City Wheat Futures, The U.S. Wheat Associates.

One of Russia’s most recent interventions in the wheat market is its withdrawal from the Black Sea Grain Initiative – an agreement between Russia, Ukraine, Turkey, and the United Nations (UN) during the Russian invasion of Ukraine on the Safe Transportation of Grain and Foodstuffs from Ukrainian ports. While Georgia doesn’t directly import wheat from Ukraine and isn’t immediately threatened by famine, Russia’s export policies regarding wheat have raised significant food security concerns in the country. Georgia heavily depends on wheat imports from Russia, with over 95 percent of its wheat historically being sourced from there. Despite Russia’s recurrent bans and restrictions on wheat exports every 2-3 years, Georgia is yet to successfully diversify its import sources.

The Georgian Wheat Market in Figures

Domestic Production

Historically, Georgia’s agricultural sector has struggled to achieve a large-scale and sufficient wheat production due to the prevalence of small-sized farms. However, over the past decade, Georgian domestic wheat production has shown significant growth (see Figure 1). This growth has been particularly sizeable in recent years, with production increasing by 32 and 53 percent in 2021 and 2022, respectively, as compared to 2020.

Figure 1. Wheat production in Georgia, 2014-2022.

Source: Geostat, 2024.

Such increase in local production positively contributes to the self-sufficiency ratio, which increased from 7 percent in 2014 to 22 percent in 2022, in turn implying higher food security levels.

Wheat Imports

Before the introduction of Russia’s floating tariff on wheat, wheat flour imports to Georgia were almost non-existent. However, after the floating tariff was imposed on wheat, imports of wheat flour increased more than 20 times – from 743 tons in January 2021 to 15,086 tons in May 2023 – peaking at 23,651 tons in August 2022 (see Figure 2). At the same time wheat imports declined by almost 60 percent, from 29,397 tons in January 2021 to 12,133 tons in May 2023, with the smallest import quantity being 2,743 tons in May 2022 (as depicted in Figure 2).

Figure 2. Georgian wheat and wheat flour imports, 2021-2023.

Source: Geostat, 2024. Note: Imports include meslin (a mixture of wheat and rye grains).

After the introduction of the temporary import duty on wheat flour in June 2023, wheat imports have picked up, although not reaching the levels seen in 2021. Similarly, wheat flour imports have declined while remaining at higher levels than in 2021. This indicates a change in Georgia’s wheat market dynamics. Historically, Georgia predominantly imported wheat; now it imports both wheat and wheat flour. This shift must be considered in future policy design, as it has implications for domestic wheat farmers and mills.

The continued wheat flour imports, despite the temporary import duty imposed by the Georgian Government can likely be attributed to a smaller price gap between wheat and wheat flour import prices (see Table 2).

Table 2. Average import prices of wheat and wheat flour in Georgia, 2021-2023.

Source: Geostat, 2024.

In 2021, prior to Russia’s introduction of a floating tariff on wheat, the import price of wheat flour in Georgia was 24 percent higher than the import price of wheat. After the introduction of the floating tariff, importing wheat became more expensive, and the import price gap between wheat flour and wheat decreased to 22 percent by the end of 2021. Subsequently, in 2022, this gap further narrowed, and by the first half of 2023, the import price of wheat flour was 5 percent lower than the import price of wheat. This significant decrease in the price gap resulted in nearly full substitution of wheat imports with wheat flour imports. After the introduction of the import duty on wheat flour and as international wheat prices declined, a marginal positive price gap has reappeared, amounting to just 1 percent. As it stands, importing wheat flour remains more advantageous than importing wheat.

Price Effects

Russia’s floating tariff on wheat led to increased bread and wheat flour prices in 2021-2022. In June 2022, bread prices experienced the most significant surge, increasing by 36 percent, while wheat flour prices reached their peak in September 2022 with a year-on-year increase of 41 percent (see Figure 3). The primary reason for this was the record increase in wheat prices, leading to a corresponding surge in wheat flour prices in 2022. This spike occurred as the world price of wheat reached its highest point in five years.

Figure 3. Annual change in bread and wheat flour prices, 2021-2023.

Source: Geostat, 2024.

Nevertheless, in 2023 bread and wheat flour prices decreased, indicating that the import duty on wheat flour did not lead to increased prices. This could partially be explained by the fact that mills pay farmers 0.5 GEL/kg, which is lower than agreed price of 0.7 GEL/kg. Another and more crucial factor is the decline in global wheat prices. They began their descent in June 2022 and have since maintained a downward trajectory. This decrease, combined with increased local production, has so far acted as a barrier to any new bread and wheat flour price increases.

The Way Forward

The question that must be addressed is whether the import duty on wheat flour imported from Russia should be extended.

The import duty may have contributed to increased local production as higher import duties can incentivize local businesses to invest in expanding their production capacity or improving their technology to meet an increased demand. It is however essential to note that the impact of import duties on local production varies depending on the level of domestic competition, the availability of inputs (high quality seed, fertilizer etc.), technological capabilities, and government policies beyond import duties (such as investment incentives, infrastructure development, and regulatory environment). Additionally, import duties can also lead to retaliatory measures from trading partners, affecting overall trade dynamics – potentially incurring unintended consequences. Therefore, while import duties can contribute to an increased local production under certain conditions, it is just one of many factors influencing production dynamics.

Secondly, as previously detailed, the import duty has so far not resulted in increased bread prices. However, the effect of an import tariff on retail prices depends on various factors, including elasticity of demand and supply, market, competitiveness, and the extent to which the tariff is passed on to consumers by importers and retailers. Since demand for bread is inelastic, one has to keep in mind that the importers and retailers can fully pass on the increased cost from an import tariff to consumers.

Given that the floating tariff and the import duty make wheat and wheat flour imports to Georgia more expensive, one should expect future bread price increases. This unless international wheat prices continue to decline and/or producers agree to reduce their profit margins or make supply chain changes. Therefore, an extension of the import duty might be a suitable solution in the short and medium-term, but it should not be seen as a permanent solution.

To limit the risks of food scarcity in Georgia in the long run, it is essential to design strategies helping the country to reduce its dependency on Russian wheat and wheat flour. Some measures to achieve this objective may include:

Further supporting local production. Encourage investment in domestic agriculture to increase the productivity and quality of wheat production in Georgia. This can be achieved through subsidies, incentives for modern farming techniques, and access to credit for farmers.

Improving the quality of local production. Currently, most of the domestically produced wheat is unsuitable for milling into wheat flour. A significant portion of domestically produced wheat is of poor quality and instead used for feeding livestock. It is essential to invest in research and development to improve the quality of domestically produced wheat. This includes developing wheat varieties that are resistant to diseases and better suited for local growing conditions.

Seeking alternative markets for import diversification. One alternative for Georgia may be to focus on the Kazakh and Ukrainian markets (once the war is over) and negotiate possible ways to decrease the cost of transporting wheat to Georgia with state and private sector representatives.

Reducing the Georgian dependence on Russian wheat imports requires a multifaceted approach that addresses various aspects of agricultural policy, trade diversification, and domestic production capacity.

References

Resonance daily. (2024). The Association of Wheat and Flour Producers of Georgia requests an extension of the import tax on imported flour. https://www.resonancedaily.com/index.php?id_rub=4&id_artc=197847

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.

How to Undermine Russia’s War Capacity: Insights from Development Day 2023

Image from SITE Development Day conference

As Russia’s full-scale invasion of Ukraine continues, the future of the country is challenged by wavering Western financial and military support and weak implementation of the sanction’s regime. At the same time, Russia fights an information war, affecting sentiments for Western powers and values across the world. With these challenges in mind, the Stockholm Institute for Transition Economics (SITE) invited researchers and stakeholders to the 2023 Development Day Conference to discuss how to undermine Russia’s capacity to wage war. This policy brief shortly summarizes the featured presentations and discussions.

Holes in the Net of Sanctions

In one of the conference’s initial presentations Aage Borchgrevink (see list at the end of the brief for all presenters’ titles and affiliations) painted a rather dark picture of the current sanctions’ situation. According to Borchgrevink, Europe continuously exports war-critical goods to Russia either via neighboring countries (through re-rerouting), or by tampering with goods’ declaration forms. This claim was supported by Benjamin Hilgenstock who not only showed that technology from multinational companies is found in Russian military equipment but also illustrated (Figure 1) the challenges to export control that come from lengthy production and logistics chains and the various jurisdictions this entails.

Figure 1. Trade flows of war-critical goods, Q1-Q3, 2023.

Source: Benjamin Hilgenstock, Kyiv School of Economics Institute.

Offering a central Asian perspective, Eric Livny highlighted how several of the region’s economies have been booming since the enforcement of sanctions against Russia. According to Livny, European exports to Central Asian countries have in many cases skyrocketed (German exports to the Kyrgyzs Republic have for instance increased by 1000 percent since the invasion), just like exports from Central Asian countries to Russia. Further, most of the export increase from central Asian countries to Russia consists of manufactured goods (such as telephones and computers), machinery and transport equipment – some of which are critical for Russia’s war efforts. Russia has evidently made a major pivot towards Asia, Livny concluded.

This narrative was seconded by Michael Koch, Director at the Swedish National Board of Trade, who pointed to data indicating that several European countries have increased their trade with Russia’s neighboring countries in the wake of the decreased direct exports to Russia. It should be noted, though, that data presented by Borchgrevink showed that the increase in trade from neighboring countries to Russia was substantially smaller than the drop in direct trade with Russia from Europe. This suggests that sanctions still have a substantial impact, albeit smaller than its potential.

According to Koch, a key question is how to make companies more responsible for their business? This was a key theme in the discussion that followed. Offering a Swedish government perspective, Håkan Jevrell emphasized the upcoming adoption of a twelfth sanctions package in the EU, and the importance of previous adopted sanctions’ packages. Jevrell also continued by highlighting the urgency of deferring sanctions circumvention – including analyzing the effect of current sanctions. In the subsequent panel Jevrell, alongside Adrian Sadikovic, Anders Leissner, and Nataliia Shapoval keyed in on sanctions circumvention. The panel discussion brought up the challenges associated with typically complicated sanctions legislation and company ownership structures, urging for more streamlined regulation. Another aspect discussed related to the importance of enforcement of sanctions regulation and the fact that we are yet to see any rulings in relation to sanctions jurisdiction. The panelists agreed that the latter is crucial to deter sanctions violations and to legitimize sanctions and reduce Russian government revenues. Although sanctions have not yet worked as well as hoped for, they still have a bite, (for instance, oil sanctions have decreased Russian oil revenues by 30 percent).

Reducing Russia’s Government Revenues

As was emphasized throughout the conference, fossil fuel export revenues form the backbone of the Russian economy, ultimately allowing for the continuation of the war. Accounting for 40 percent of the federal budget, Russian fossil fuels are currently mainly exported to China and India. However, as presented by Petras Katinas, the EU has since the invasion on the 24th of February, paid 182 billion EUR to Russia for oil and gas imports despite the sanctions. In his presentation, Katinas also highlighted the fact that Liquified Natural Gas (LNG) imports for EU have in fact increased since the invasion – due to sanctions not being in place. The EU/G7 imposed price cap on Russian oil at $60 per barrel was initially effective in reducing Russian export revenues, but its effectiveness has over time being eroded through the emergence of a Russia controlled shadow fleet of tankers and sales documentation fraud. In order to further reduce the Russian government’s income from fossil fuels, Katinas concluded that the whitewashing of Russian oil (i.e., third countries import crude oil, refine it and sell it to sanctioning countries) must be halted, and the price cap on Russian oil needs to be lowered from the current $60 to $30 per barrel.

In his research presentation, Daniel Spiro also focused on oil sanctions targeted towards Russia – what he referred to as the “Energy-economic warfare”. According to Spiro, the sanctions regime should aim at minimizing Russia’s revenues, while at the same time minimizing sanctioning countries’ own costs, keeping in mind that the enemy (i.e. Russia) will act in the exact same way. The sanctions on Russian oil pushes Russia to sell oil to China and India and the effects from this are two-fold: firstly, selling to China and India rather than to the EU implies longer shipping routes and secondly, China and India both get a stronger bargaining position for the price they pay for the Russian oil. As such, the profit margins for Russia have decreased due to the price cap and the longer routes, while India and China are winners – buying at low prices. Considering the potential countermoves, Spiro – much like Katinas – emphasized the need to take control of the tanker market, including insurance, sales and repairs. While the oil price cap has proven potential to be an effective sanction, it has to be coupled with an embargo on LNG and preferrable halted access for Russian ships into European ports – potentially shutting down the Danish strait – Spiro concluded.

Chloé Le Coq presented work on Russian nuclear energy, another energy market where Russia is a dominant player. Russia is currently supplying 12 percent of the United States’ uranium, and accounting for as much as 70 percent on the European market. On top of this, several European countries have Russian-built reactors. While the nuclear-related revenues for Russia today are quite small, the associated political and economic influence is much more prominent. The Russian nuclear energy agency, Rosatom, is building reactors in several countries, locking in technology and offering loans (e.g., Bangladesh has a 20-year commitment in which Rosatom lends 70 percent of the production cost). In this way Russia exerts political influence on the rest of the world. Le Coq argued that energy sanctions should not only be about reducing today’s revenues but also about reducing Russian political and economic influence in the long run.

The notion of choke points for Russian vessels, for instance in the Danish strait, was discussed also in the following panel comprising of Yuliia Pavytska, Iikka Korhonen, Aage Borchgrevink, and Lars Schmidt. The panelists largely agreed that while choke points are potentially a good idea, the focus should be on ensuring that existing sanctions are enforced – noting that sanctions don’t work overnight and the need to avoid sanctions fatigue. Further, the panel discussed the fact that although fossil fuels account for a large chunk of federal revenues, a substantial part of the Russian budget come from profit taxes as well as windfall taxes on select companies, and that Russian state-owned companies should in some form be targeted by sanctions in the future. In line with the previous discussion, the panelists also emphasized the importance of getting banks and companies to cooperate when it comes to sanctions and stay out of the Russian market. Aage Borchgrevink highlighted that for companies to adhere to sanctions legislation they could potentially be criminally charged if they are found violating the sanctions, as it can accrue to human rights violations. For instance, if companies’ parts are used for war crimes, these companies may also be part of such war crimes. As such, sanctions can be regarded as a human rights instrument and companies committing sanctions violations can be prosecuted under criminal law.

Frozen Assets and Disinformation

The topic of Russian influence was discussed also in the conference’s last panel, composed of Anders Ahnlid, Kata Fredheim, Torbjörn Becker, Martin Kragh, and Andrii Plakhotniuk. The panelists discussed Russia’s strong presence on social media platforms and how Russia is posting propaganda at a speed unmet by legislators and left unchecked by tech companies. The strategic narrative televised by Russia claims that Ukraine is not a democracy, and that corruption is rampant – despite the major anti-corruption reforms undertaken since 2014. If the facts are not set straight, the propaganda risks undermining popular support for Ukraine, playing into the hands of Russia. Further, the panelists also discussed the aspect of frozen assets and how the these can be used for rebuilding Ukraine. Thinking long-term, the aim is to modify international law, allowing for confiscation, as there are currently about 200 billion EUR in Russian state-owned assets and about 20 billion EUR worth of private-owned assets, currently frozen.

The panel discussion resonated also in the presentation by Vladyslav Vlasiuk who gave an account of the Ukrainian government’s perspective of the situation. Vlasiuk, much like other speakers, pointed out sanctions as one of the main avenues to stop Russia’s continued war, while also emphasizing the need for research to ensure the implications from sanctions are analyzed and subsequently presented to the public and policy makers alike. Understanding the effects of the sanctions on both Russia’s and the sanctioning countries’ economies is crucial to ensure sustained support for the sanction’s regime, Vlasiuk emphasized.

Joining on video-link from Kyiv, Tymofiy Mylovanov, rounded off the conference by again emphasizing the need for continued pressure on Russia in forms of sanctions and sanctions compliance. According to Mylovanov, the Russian narrative off Ukraine struggling must be countered as the truth is rather that Ukraine is holding up with well-trained troops and high morale. However, Mylovanov continued, future funding of Ukraine’s efforts against Russia must be ensured – reminding the audience how Russia poses a threat not only to Ukraine, but to Europe and the world.

Concluding Remarks

The Russian attack on Ukraine is military and deadly, but the wider attack on the liberal world order, through cyber-attacks, migration flows, propaganda, and disinformation, must also be combatted. As discussed throughout the conference, sanctions have the potential for success, but it hinges on the beliefs and the compliance of citizens, companies, and governments around the world. To have sanctions deliver on their long-term potential it is key to include not only more countries but also the banking sector, and to instill a principled behavior among companies – having them refrain from trading with Russia. Varying degrees of enforcement undermine sanctions compliant countries and companies, ultimately making sanctions less effective. Thus, prosecuting those who breach or purposedly evade sanctions should be a top priority, as well as imposing control over the global tanker market, to regain the initial bite of the oil price cap. Lastly, it is crucial that the global community does not forget about Ukraine in the presence of other conflicts and competing agendas. And to ensure success for Ukraine we need to restrain the Russian war effort through stronger enforcement of sanctions, and by winning the information war.

List of Participants

Anders Ahnlid, Director General at the National Board of Trade
Aage Borchgrevink, Senior Advisor at The Norwegian Helsinki Committee
Torbjörn Becker, Director at the Stockholm Institute of Transition Economics
Chloé Le Coq, Professor of Economics, University of Paris-Panthéon-Assas, Economics and Law Research Center (CRED)
Benjamin Hilgenstock, Senior Economist at Kyiv School of Economics Institute
Håkan Jevrell, State Secretary to the Minister for International Development Cooperation and Foreign Trade
Michael Koch, Director at Swedish National Board of Trade
Iikka Korhonen, Head of the Bank of Finland Institute for Emerging Economies (BOFIT)
Martin Kragh, Deputy Centre Director at Stockholm Centre for Eastern European Studies (SCEEUS)
Eric Livny, Lead Regional Economist for Central Asia at European Bank for Reconstruction and Development (EBRD)
Anders Leissner, Lawyer and Expert on sanctions at Advokatfirman Vinge
Tymofiy Mylovanov, President of the Kyiv School of Economics
Vladyslav Vlasiuk, Sanctions Advisor to the Office of the President of Ukraine
Nataliia Shapoval, Chairman of the Kyiv School of Economics Institute
Yuliia Pavytska, Manager of the Sanctions Programme at KSE Institute
Andrii Plakhotniuk, Ambassador Extraordinary and Plenipotentiary of Ukraine to the Kingdom of Sweden
Daniel Spiro, Associate Professor, Uppsala University
Adrian Sadikovic, Journalist at Dagens Nyheter
Kata Fredheim, Executive Vice President of Partnership and Strategy and Associate Professor at SSE Riga
Lars Schmidt, Director and Sanctions Coordinator at the Ministry for Foreign Affairs, Sweden

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.

Cognitive Dissonance on Belarus: Recovery and Adaptation or Stalemate?

20240107 Cognitive Dissonance on Belarus Image 02

A closer look at the Belarusian economy over the recent year, produces two initially competing narratives. The first one emphasizes that tough sanctions have led to a deadlock for the Belarusian economy. The second one stresses that output losses have turned out to be much lower than expected, and that the economy has displayed a rather high degree of adaptability – securing an early and rapid recovery. This policy brief shows that these narratives are not mutually exclusive but rather elements of the same bigger picture. A short-term focus gives the impression that the current stance is ‘more good than bad’. This reflects the fact that output has recovered and almost reached historically high levels, made possible due to a combination of exports protection mechanisms and compensatory effects on output. However, this does not eliminate the disappointing medium- and long-term prospects for the country. On the flip side of the immediate survival of the Belarusian economy is the country’s economic and political stalemate. This includes the lack of opportunities for future sustainable growth and Belarus’ enormous and continuously growing dependence on Russia. Within this stalemate, stagnation is the best plausible scenario. At the same time, much worse scenarios, both economically and politically, are also highly likely. Ultimately, breaking the deadlock is the only way to a better future for Belarus.

The Belarusian Economy and the Changing Narratives

About 1.5 years ago, Western countries introduced tough sanctions against Belarus, punishing the Lukashenka regime for its role in Russia’s invasion of Ukraine. This gave rise to a huge uncertainty regarding Belarus’ economic prospects. A FREE policy brief published about a year ago (Kruk & Lvovskiy, 2022) presented a model-based estimate of a potential rock-bottom for the Belarusian economy in the new environment, which amounted to 20 percent of output losses. The authors however argued that actual output losses might be significantly lower given Russia’s support and policy responses, which were unaccounted for in the model. At the same time, downside risks and a lack of output consistency seem to have become permanent traits of the Belarusian economy.

Expectations of a large and prolonged recession in Belarus prevailed into mid-2023. International institutions (IMF, World Bank) and rating agencies (S&P, Fitch Ratings) mainly expected a recession in Belarus up to 10 percent 2022-2023.  The reality has however turned out to be quite different with the recession being relatively contained and short-lived. The output losses between the peak (Q2-2021) trough Q3-2022 amounted to 6.8 percent. In Q4-2022 a recovery began, and in Q3-2023 the economy had almost fully recovered, reaching nearly the same levels as in Q2-2021 (see Figure 1). Further, in terms of average real wages and household consumption, the situation appears to be even more positive. The real average wage reached its pre-war level in Q1-2023 and has since displayed record high levels, and household consumption follow a similar trend (see Figure 1).

These dynamics have given rise to a new narrative. As of lately, the Belarusian economic situation is at times treated as ‘more good than bad’. Further, most international financial institutions currently forecast a continued weak recovery growth in the coming years (EBRD, 2023; IMF, 2023; Izvorski et al., 2023).

Figure 1. Real GDP, Average Real Wages, and Real Household Consumption (index, seasonally adjusted, 2018=100).

Source: Author’s estimations based on Belstat data.

Factors Behind the Recent Recovery Growth

The underlying reasons for the recovery growth can be divided into two groups: (i) export protection mechanisms under sanctions and (ii) positive shocks and compensatory effects on output.

Export protection mechanisms under sanctions are twofold. Firstly, the Belarusian regime turned out to be somewhat successful in adjusting to the new sanctions-environment. This partly due to a somewhat geographical U-turn of Belarusian exports, underpinned by new logistics and payment schemes. The best example of this turn is the re-orientation of oil product exports from the EU and Ukraine to Russia (Kharitonchik, 2023). Moreover, some exports to traditional markets, which were challenged by logistics and payment barriers rather than sanctions, were secured by crossing these barriers. The best such example is the recovery of potash fertilizer exports to China, Brazil and India. Since early 2023 these displayed a rapid recovery due to Belarus finding logistic solutions through Russian sea ports instead of EU ports, and by using railway transportation.

Secondly, the practices of sanctions evasion may also have played a significant role. The scope of sanctions evasion is however difficult to assess due to its secretive nature. Moreover, the difference between avoiding and evading sanctions is not always clear.

Export protection mechanisms allowed Belarus to cushion actual export losses, making them transitory (see Figure 2). Actual losses in exports were close to the rock-bottom scenario estimates for only a couple of months. Instead of an expected level shift in exports by roughly 40 percent (from the pre-war level), exports displayed a recovery trajectory. Hence, what was modelled as a permanent shock in Kruk & Lvovskiy (2022), turned out to be transitory.

Figure 2. Physical Volume of Exports (index, seasonally adjusted, 2018=100).

Source: Author’s estimations based on Belstat data.

One important aspect to mention is that part of this recovery is due to oil-product exports taking place already in 2022 (Kharitonchik, 2023). In Kruk & Panasevich (2023) the authors show that the oil-refinery industry is of extreme importance for the entire Belarusian economy. Due to inter-industrial linkages, the oil-refinery industry indirectly accounts for about 11 percent of Belarus’ output, despite its modest direct contribution to the GDP (slightly more than 1 percent). Hence, due to protecting these exports (and the corresponding production of oil products), a large amount of output losses was avoided. A similar situation unfolded also for potash fertilizer exports and the chemical industry producing them (although inter-industrial linkages and effects on output are much weaker for that industry).

Besides export protection mechanisms, the recovery of exports and output stem largely from various positive and compensatory effects on output Some of them arose from Belarus’ and Russia’s respective regimes responses to sanctions, and from Russia’s readiness to support Belarus. Others are classical external positive shocks (to no degree related to sanctions) while some are a combination of both. They include: (i) increasing energy (gas) subsidies from Russia, (ii) a prolonged period of extra-high price competitiveness, especially in the Russian market, (iii) expanded access to the Russian market, (iv) other forms of Russian support (debt restructuring, budget transfers, new loans), (v) favorable trade conditions and export prices (apart from on the Russian market), (vi) a (macro)economic environment that allow for more  room for domestic economic policy interventions.

Taken together, these positive output drivers largely contributed to curbing the recession in 2022 and to the output recovery in 2023. A straightforward decomposition of the actual output growth path is unfeasible (due to the close interconnection of export protection mechanisms and output drivers, and the lack of available statistics). However, approximating the actual path in a model environment results in the following: between Q2-2021 and Q3-2022, about 12 percent of losses due to sanctions (taking into account the export protection mechanisms) and a deprivation of the Ukrainian market, and 5.2 percent of gains due to output shocks, resulted in actual output losses of 6.8 percent. Later in 2023, due to increasing effects from the export protection mechanisms, the sanctions-related output losses shrank to about 6.6 percent, while output shocks expanded output by roughly the same level. This allowed output losses to be zeroed out, i.e. the level of output in Q3-2023 was almost identical to Q3-2021.

An Economic Stalemate

Is the ‘more good than bad’ economic situation sustainable? Does the recent recovery mean that Belarus has overcome the major challenges to the economy? The short answer is no. Even with short-term thinking, there are still numerous downside risks. Sanctions still form a permanently challenging environment for the Belarusian economy, putting exports and output in jeopardy. The export protection mechanisms are not persistent, and they largely depend on Russia’s political will to support them. Moreover, the updated logistics and payment chains may also be vulnerable and sensitive to changes in the sanctions’ environment, and short-term trends in external prices. The aforementioned positive output effects are short-term by their nature and there are indications of them starting to fade already in 2023 (BEROC, 2023). Hence, even short-term projections for 2024 are challenging: the output growth is expected to weaken significantly or even fade away, while inflation spikes and financial destabilization risks are high (BEROC, 2023). Therefore, a return to a stagnant economic environment appears to be the most plausible short-term outlook.

The medium-term outlook seems even worse. According to Kruk (2023), the Belarusian macroeconomic balance (a) is very fragile, (b) is subject to numerous and huge downside risks, and (c) cannot be secured by macroeconomic policies because of the structural weaknesses in their design and the lack of room for maneuver. This means that even the existing weak long-term growth potential cannot be realized in the medium term, while the likelihood of recessions, inflation spikes and financial destabilization is high.

Re-shifting focus to a long-term and international perspective makes the viewpoint ‘more good than bad’ appear inconsistent. First, the long-term growth potential for Belarus, which was very weak even before the sanctions, keeps on worsening. This as adverse supply shocks and a deterioration of the productivity determinants continue eroding it (Kruk & Lvovskiy, 2022). Estimations of the growth potential (that rely on historical time series) are mainly within the range of 0-1 percent per annum. However, even such disappointing estimates might be optimistic bearing in mind the current political and sanctions-related risks and uncertainty (absent in the historical data). This makes stagnation the best possible long-term outlook, although it cannot be guaranteed.

Second, despite the milder recession and rapid recovery, the well-being gap between Belarus and its EU neighbors keeps on expanding (see Figure 3).

Figure 3. Well-being in Belarus vs the average among its EU neighbors (Latvia, Lithuania, Poland), 1990-2022, in percent.

Note: The GDP per capita PPP in 2017 constant international dollars is considered as well-being. The average well-being for EU Neighbors is the simple average in GDP in Latvia, Lithuania, and Poland.
Source: Author’s estimations based on World Bank data.

The average well-being in Belarus (measured in GDP per capita in constant international dollars) vs. that among its EU neighbors reached an (almost) historically low level in 2022. After attaining a level of well-being of roughly 75 percent of the average in Latvia, Lithuania, and Poland in the early 2010s, the well-being in Belarus has fall to about 52.5 percent, almost as low as in the mid-1990s. Given the economic stagnation as the most likely outlook, this means that the country will, in relative terms, keep on getting poorer in comparison to its EU neighbors.

A Political Stalemate

The hypothetical way out of the economic stalemate is more or less obvious. For instance, there is somewhat of a consensus among Belarusian economists about strengthening the long-term growth and securing macroeconomic stability (see Daneyko & Kruk, 2021; Kruk, 2023, for an overview of a collective view from a group of Belarusian economists). This vision, however, clashes with the views of the Lukashenka regime, which has inhibited its implementation throughout decades. Hence, democratic transition, or at least deprival of power of the Lukashenka regime has long appeared to be a highly likely precondition for moving away from the stalemate.

This, however, has changed in the last couple of years. The Belarusian economy’s dependence on Russia has moved from large to absolute. Prior to 2022, Russia was an important market for Belarusian exports (about 40 percent), the single energy supplier, and de facto the lender of last resort. To date, Russia’s role has expanded dramatically. The share of exports to Russia has increased up to about 65 percent. Moreover, the majority of the remaining 35 percent is exported with the assistance of or through Russia, using Russian infrastructure. Therefore, it would be fair to argue that Russia in some form “controls” roughly 90 percent of Belarusian exports. Further, being Belarus’ sole energy supplier, Russia has increased its significance for Belarus through expanded energy subsidies. The size of the energy subsidies reached a historical high in 2022, and the mechanism of the energy subsidies has become a cornerstone for macroeconomic stability in Belarus. Furthermore, Russia has turned out to be the only effective creditor for Belarus. Overall, Russia has accumulated a significant number of tools to undermine Belarus at any given moment.

A democratic transition or at least deprival of power of the Lukashenka regime might therefore not be sufficient preconditions for breaking the economic deadlock. Even if domestic political will to do so should emerge, the risk that Russia will successfully suppress it using the above outlined economic tools is very high. Hence, apart from a democratic transition, the way out of the economic stalemate requires a way out of the political stalemate. This seems to only be possible through either a politically weakened Russia, and/or an external political force, allied to the Belarusian democratic forces, and strong enough to suppress Russia.

Conclusions

Recently, the narrative on the Belarusian economy has changed. The prevailing expectations of a large and prolonged recession has been substituted by expectations of a gradual recovery. The narrative ‘the jig is up’ has somehow been crowded out by the ‘more good than bad’ viewpoint on the Belarusian economy. However, these narratives are not mutually exclusive. Behind the current ‘more good than bad’ viewpoint on the Belarusian economy, a severe economic and political deadlock prevails. Moreover, future economic and political deadlocks are the actual price being paid for the recent survival and recovery of the Belarusian economy.

From a positive perspective, the economic and political deadlock means that the country is likely to, at least, be bogged down in stagnation. Belarus’ total dependency on Russia makes the country hostage to Russia’s political preferences and country-specific risks. Should Russia decide to exert further economic and/or political influence over Belarus, it is likely to succeed. Consequently, any economic downturn faced by Russia would automatically impact Belarus.

From a normative perspective, breaking the economic and political deadlock might be the only solution, and for this, the order might matter. Prior to 2020 there was a widespread opinion that breaking the economic deadlock must be prioritized, and that it could – in turn – break the political deadlock. As of now, the tables have turned. The current order postulates the political deadlock comes first, as it seems to be the only way of breaking the economic stalemate. However, breaking the political deadlock appears to require external political will.

With these conclusions in mind, the recent Belarusian democratic forces’ manifest regarding Belarus’ EU membership aspiration, deserves attention (BDF, 2023). At first, such aspiration might appear schizophrenic given the actual political situation inside of the country. However, taking a Belarusian EU membership serious (within the EU and among Belarusians) might be the answer to Belarus’ political and economic deadlock. From this perspective, the task for the Belarusian society is thus to convince EU counterparts that this is not madness, but rather a feasible solution. It is rather evident why this solution is both desirable and feasible for the Belarusian society. The main question to be answered is therefore whether, and why it would be desirable and feasible for the EU.

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.

The Belarusian Currency Market During War in Ukraine: Hidden Problems and New Trends

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Belarus has faced unprecedented sanctions during the last year and the new economic conditions have led to a GDP decline and inflation growth. At the same time, the situation on the currency market has been stable since April 2022. The Belarusian Ruble demonstrated a gradual appreciation to the US Dollar and the Euro and a decline to the Russian Ruble. The appreciation of the Belarusian Ruble against the US Dollar has given households the illusion that the economic situation is not that bad. This brief analyses the main factors of the current situation on the currency market as well as describes the challenges which might destabilise the market. The importance of changing selected currencies in the currency basket and the start of a reorientation of the Belarusian economy from Western to Eastern partnerships, are also described.

The National Bank of the Republic of Belarus’ Policy on the Currency Market

In Belarus, currency has always played an important role as an indicator of economic stability. Household’s reactions to sharp fluctuations of the Belarusian Ruble have been expressed in an immediate demand growth for foreign currency (US Dollar and Euro mostly). After the war in Ukraine started and the exchange rate of the Belarusian Ruble began declining, people tried to make currency deposits from banks and buy foreign currency. In contrast to the Central Bank of Russia, the National Bank of the Republic of Belarus (NBRB) introduced no restrictions on the currency market. However, Belarusian financial institutions imposed their own limits on carrying out non-cash exchange operations, cash withdrawals from ATMs and from bank accounts. Financial institutions also limited the availability of currencies in exchange offices and imposed limits on payment transactions by credit card outside of Belarus. All these processes took place under the condition of a sharp devaluation of the Russian Ruble.

The dynamics in the Russian Ruble have affected the Belarusian Ruble fluctuation (see Figure 1). The correlation between the currencies was strong even before the war, given that the Russian Federation is a dominant economic partner for Belarus, and has since become stronger.

The share of Russian Ruble in the Belarusian currency basket is at 50 percent. Moreover, in Q1-Q3 2022 the Belarusian dependency on the Russian economy increased in the aftermath of losing the Ukrainian market and facing European export shortages. Between January and August 2022, the share of export of goods to CIS countries (where the main share of exports goes to Russia) was 65,7 percent, as compared to 58,4 percent for the corresponding months in 2021. The same tendencies are apparent when considering the import of goods. The share of import from CIS countries reached 64,7 percent between January and August in 2022, as compared to 61,3 percent for January-August in 2021 (BSCBR, 2022).

Figure 1. The weighted average exchange rate of the Belarusian Ruble, in Belarusian Rubles.

Source: Statistical Bulletin #9 (279) 2022.

Sanctions and the Russian Central Bank’s policy have led to a stabilisation on the Russian currency market. The Central Bank of Russia has introduced restrictions on capital outflow from the country, limited cash withdrawals from bank accounts and foreign currency purchases in exchange offices (Tinkoff, 2022). The cancelation of budget rule has further supported the Russian Ruble exchange rate. But the main reason for the Russian currency exchange rate reversal post March 2022, relates to the situation regarding foreign trade. Due to sanctions, imports had significantly decreased. At the same time, high energy prices allowed for export growth. Between January and June 2022 Russia displayed a high positive trade balance (169,62 billion USD), the largest in the last 7 years (CBR, 2022). As a result of sanctions, the Central Bank of Russia started to prepare the market to work with currencies of friendly countries.

Similar tendencies can be seen in Belarus. NBRB has changed the composition of the foreign currency trade to turn the Belarusian economy from a Western to an Eastern direction regarding economic cooperation. In July 2022 the Chinese Yen was included in the currency basket. At the same time the share of Russian Ruble was at 50 percent, the US Dollar at 30 percent, the Euro at 10 percent and the Chinese Yen at 10 percent. In August 2022, the NBRB began to define daily exchange rates for the Vietnamese Dong, Brazilian Real, Indian Rupee and UAE Dirham. Finally, since October 2022, the exchange rate for the Qatari Riyal has been defined on a monthly basis (The National Bank of Belarus, 2022). These changes are indicators of ongoing and planned structural changes to the economy to accommodate increased cooperation with the Eastern economies.

Currency Market Stabilisation and Current Risks

The Belarusian Ruble has not repeated the fluctuation of the Russian currency. It did however copy its tendency to appreciate to the US Dollar and the Euro, as of April 2022. Besides the appreciation of the Russian Ruble and personal bank’s restrictions on national currency markets, the stabilisation of the Belarusian Ruble can be explained by the positive trade balance. In contrast to Russia, the growth of net export in Belarus was due to a faster decline of imports than exports. There are several reasons why this can be a problem for currency market stabilisation in the future.

First, Belarus’ foreign trade has become more and more oriented toward the Russian market. If the main trade partner experiences difficulties (for example, oil price caps) this could lead to a devaluation of the Russian Ruble and, as a result, declining competitiveness of Belarusian goods on the Russian market.

Second, reorientation of Belarusian exports from Western to Eastern countries require time and additional financial resources and exports are not always profitable due to high logistical costs. Any additional sanctions may further limit such opportunities.

Third, main export-oriented services, such as the Transport and ICT sectors, are affected by sanctions and their consequences. In Q3 2022, the transport turnover was equal to 68,3 percent, as compared to the same period 2021. The ICT sector is still having a positive impact on GDP growth. However, in January-September 2021 the positive contribution from this sector to the Belarusian GDP was 0,9 percent, while it between January and September 2022 was only 0,2 percent.

Recent success in foreign trade is mostly due to the continuation of selling potash, nitrogen fertilisers and other products on the global market, a strong Russian Ruble and Russian market openness towards Belarusian companies, low levels of Belarusian imports, and cheap Russian gas (the special price for Belarus is 128 US Dollars for 1000 cubic meters). If the terms of trade with Russia worsen and key export-oriented industries suffer from sanctions and reputational risks, the currency market could however be destabilised.

Another problem for the Belarusian Ruble stability in the middle and long term is related to household behaviour. In January-August 2022 Belarusians sold more foreign currency than they bought. Despite the Ruble fluctuation, the high levels of net sales in March was due to bank restrictions. In June, the net purchase was related to seasonal factors (see Figure 2). For the other months of the period the net selling can be explained by a stable situation on the currency market and real incomes declining. People sold currency in an attempt to maintain their previous standards of living.

Figure 2. Balance of purchase and sale of foreign currency by households (+ “net purchase”, – “net sale”), mln. USD.

Source: Based on data from the National Bank of Belarus.

In September-October 2022 Belarusian households bought more than (an equivalent of) 300 mln. USD on net basis, primarily in USD or Euro, which is very unusual for the Belarusian market situation. There are several possible explanations for such behaviour:

  1. Despite difficulties with obtaining visas Belarusians are going to Poland and other European countries to shop. Because of sanctions, retaliatory sanctions as well as a high price control on the domestic market, the range of goods has shrunk, and prices have risen. In European countries Belarusians can purchase much cheaper goods both for personal use and for resale.
  2. Partial mobilisation in Russia has increased the uncertainty of further political steps in Belarus. Households thus purchase foreign currency to establish an extra safety cushion.
  3. In Q3 2022 there was a net cash outflow on international remittances, for the first time since 2017. Traditionally, Belarus has seen a net inflow of foreign remittances. In 2022 Belarusian banks were switched off from the SWIFT system which incurred problems with operations in foreign currencies for banks under sanctions. As a result, cash inflow has declined (see Figure 3). Cash outflows however remained on the same level as in previous years. This can be explained by high-level specialists and people employed within ICT leaving the country. During relocation people have sold apartments and cars and exchanged accumulated incomes from Belarusian Rubles to US Dollars or Euros and sent to foreign bank accounts (even under the conditions of facing difficulties with conducting money transfers).

Figure 3. Net cash inflow (+)/ outflow (-) for international remittances, USD mln.

Source: Based on data from the National Bank of Belarus.

Maintaining the trend of net currency purchase together with possible trade balance deterioration may exacerbate the situation on the domestic currency market. Another risk to the currency market stability is posed by the insufficient size of FX reserves (in the amount of less than 3 months of import). Moreover, the 900 mln. US Dollars in reserves, given by the IMF in 2021 as support to fight Covid-19, can’t be used as this financial support is given in the form of SDR (Special Drawing Rights), and the exchange of SDR to US Dollars or other currencies is challenging due to sanctions (Congress, 2022).

At the same time, the Government’s decision to make external debt payments in Belarusian Rubles supports the FX reserves level. It has also been decided that payments on Eurobonds to the Nordic Investment Bank, the European Bank of Reconstruction and Development and the International Bank of Reconstruction and Development are to be paid in Rubles. These decisions have decreased the country’s long-term rating on foreign liabilities to the Restricted Default level. In that sense, short-term gains can lead to significant financial losses in the long term. In the future it will be necessary not only to pay outstanding debts but also to improve Belarus’ reputation on the international financial market. Today, the Russian Federation is the main investor in the Belarusian economy. But since its support is limited, it is likely to be insufficient for the safe functioning of the Belarusian economy.

Conclusion

The stability of the Belarusian currency market is not the result of economic success, but rather a reflection of the tightening of the economy. The appreciation of the Belarusian Ruble to the US Dollar and Euro has taken place during an accelerated reduction in Belarusian imports. At the same time the weakness of the Belarusian currency to the Russian Ruble entails competitiveness of Belarusian products on the Russian market. Foreign exchange reserves, although insufficient, have maintained in size due to the low demand for foreign currency and foreign debt payments in Belarusian Rubles. Disruptions to economic and political relations with Western countries stimulates the Belarusian authorities to reorient the economy towards Eastern partners, which has led to a modification of the currency basket composition. In the long run, the current stability of the Belarusian currency can quickly disappear in case one or several risks are realised. If the Russian Ruble devaluates or trade balance deteriorates and demand for foreign currency increases, the stability of the Belarusian Ruble exchange rate can be ruined.

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.

An Overview of the Georgian Wine Sector

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Georgia has an 8000-year-old winemaking tradition, making the country the first known location of grape winemaking in the world. In this policy brief we analyze and discuss major characteristics of the wine sector in Georgia, government policies regarding the sector and major outcomes of such policies. The brief provides recommendations on how to ensure sustainable development of the sector in a competitive, dynamic environment.

Introduction

The Georgian winemaking tradition is 8000 years old, making Georgia the world’s first known location of grape winemaking. There are many traditions associated with Georgian winemaking. One of them is ‘Rtveli’ – the grape harvest that usually starts in September and continues throughout the autumn season, accompanied with feasts and celebrations. According to data from the National Wine Agency, the annual production of grapes in Georgia is on average 223.6 thousand tones (for the last ten-years), with most grapes being processed into wine (see Figure 1).

Figure 1. Grape Processing (2013-2021)

Source: National Wine Agency, 2022. Note: Some producers do not participate In Rtveli and the total annual quantity of processed grape in the country might therefore be higher than the numbers presented in the figure.

Wine is one of the top export commodities for Georgia. It constituted 21 percent of the total Georgian agricultural export value in 2021 (Geostat, 2022). Since 2012 wine exports have, on average, grown 21 percent in quantitative terms, and by 22 percent in value (Figure 2). The average price per ton varies from 3 thousand USD to 3.9 thousand USD (Figure 2). Exports of still wine in containers holding 2 liters or less constitute, on average, 96 percent of the total export value.

Figure 2. Georgian Wine Exports (2012-2021)

Source: Geostat, 2022.

The main destination market for exporting Georgian wine is the Commonwealth of Independent States (CIS) countries which account for, on average, 78 percent of the export value (2012-2021). The corresponding share for EU countries is 10 percent. As of 2021, the top export destinations are Russia (55 percent), Ukraine (11 percent), China (7 percent), Belarus (5 percent), Poland (6 percent), and Kazakhstan (4 percent).  While Russia is still a top market for Georgian wine, Russia’s share of Georgian wine exports declined after Russia imposed an embargo on Georgian wines in 2006. The embargo forced market diversification and even after the reopening of the Russian market and Georgian wine exports shifting back towards Russia, its share declined from 87 percent in 2005 to 55 percent in 2021.

While there are more than 400 indigenous grape varieties in Georgia, only a few grape varieties are well commercialized as most of the exported wines are made of Rkatsiteli, Mtsvane, Kisi, and Saperavi grape varieties (Granik, 2019).

Government Policy in the Wine Sector

The Government of Georgia (GoG) actively supports the wine sector through the National Wine Agency, established in 2012 under the Ministry of Environmental Protection and Agriculture (MEPA). The National Wine Agency implements Georgia’s viticulture support programs through: i) control of wine production quality and certification procedures; ii) promotion and spread of knowledge of Georgian wine; iii) promotion of export potential growth; iv) research and development of Georgian wine and wine culture; v) creation of a national registry of vineyards; and vi) promotion of organized vintage (Rtveli) conduction (National Wine Agency, 2022).

During 2014-2016, the GoG’s spending on the wine sector (including grape subsidies, promotion of Georgian wine, and awareness increasing campaigns) amounted to 63 million GEL, or 22.8 million USD (As of November 1, 2022, 1 USD = 2.76 GEL according to the National Bank of Georgia). Out of the spending, illustrated in Figure 3, around 40-50 percent was allocated to grape subsidies implemented under the activities of iv) (as mentioned above).

There are two types of subsidies used by the GoG– direct and indirect. Direct subsidies imply cash payments to producers per kilogram of grapes. As for indirect subsidies, they entail state owned companies purchase grapes from farmers.

Starting from 2017, the GoG decided to abandon the subsidiary scheme and decrease its spending on of the wine sector.  The corresponding figure reached a minimum of 9.2 million GEL (3.3 million USD) in 2018. Meanwhile, the grape production has been increasing, reaching its highest level in 2020 (317 thousand tons). In 2020, the GoG resumed subsidizing grape harvests to support the wine sector as part of the crisis plan aimed at tackling economic challenges following the Covid-19 pandemic. The corresponding spending in the wine sector increased from 16.7 million GEL (around 6 million USD) in 2019 to 113.4 million GEL (41 million USD) in 2020, out of which the largest share (91 percent) went to grape subsidies. In 2021, the GoG continued its extensive support to the wine sector and the corresponding spending increased by 44 percent, compared to 2020. The largest share again went to grape subsidies (90 percent).

Figure 3. Grape Production and Government Spending on the Wine Sector (2014-2021)

Source: Ministry of Finance of Georgia, National Statistics Office of Georgia, Author’s Calculations, 2022.

In 2022, the GoG have continued subsidizing the grape harvest to help farmers and wine producers sell their products. During Rtveli 2022, wine companies are receiving a subsidy if they purchase and process at least 100 tons of green Rkatsiteli or Kakhuri grape varieties grown in the Kakheti region, and if the company pays at least 0.90 GEL per kilogram for the fruit. If these two conditions are satisfied, 0.35 GEL is subsidized from a total of 0.9 GEL per kilogram of grapes purchased (ISET Policy Institute, 2022). Moreover, the GoG provides a subsidy of 4 GEL per kilogram for Alksandrouli and Mujuretuli grapes (unique grape varieties from the Khvanchkara “micro-zone” of the north-western Racha-Lechkhumi and Kvemo Svaneti regions), if the buying company pays at least 7 GEL per kilogram for those varieties (Administration of the Government of Georgia, 2022). Overall, about 150 million GEL (54.2 million USD), has been allocated to grape subsidies in 2022.

Policy Recommendations

Although the National Wine Agency is supposed to implement support programs in various areas like quality control, market diversification, promotion and R&D, these areas lack funding, as most of the Agency’s funds are spent on subsidies. Given that the production and processing of grapes have increased over the years, subsidies have been playing a significant role in reviving the wine sector after the collapse of the Soviet Union (Mamardashvili et al., 2020).  However, since the sector is subsidized as of 2008, the grape market in Georgia is heavily distorted. Prices are formed, not on the bases of supply and demand but on subsidies, which help industries survive in critical moments, but overall prevent increases in quality and fair competition. They further lead to overproduction, inefficient distribution of state support and preferential treatment of industries (Desadze, Gelashvili, and Katsia, 2020). After years of subsidizing the sector, it is hard to remove the subsidy and face the social and political consequences of such action.

Nonetheless, in order to support the sustainable development of the sector, it is recommended to:

  1. Replace the direct state subsidy with a different type of support (if any), directed towards overcoming systemic challenges in the sector related to the research and development of indigenous grape varieties and their commercialization level.
  2. Further promote Georgian wine on international markets to diversify export destination markets and ensure low dependence on unstable markets like the Russian market. Although wine exporters have in recent years entered new markets, to further strengthen their positions at those markets, it is vital to:
    • ensure high quality production through producers’ adherence to food safety standards.
    • promote digitalization – e-certification for trade and distribution, block chain technology for easier traceability and contracting, e-labels providing extensive information about wine etc. – enabling producers to competitively operate in the dynamic environment (Tach, 2021)
    • identify niche markets (e.g. biodynamic wine) and support innovation within these sectors to ensure competitiveness of the wine sector in the long-term (Deisadze and Livny, 2016).

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.

Russian Exporters in the Face of the COVID-19 Pandemic Crisis

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This brief summarizes the results of recent work on the effects of the COVID-19 pandemic on Russian exporting companies (Volchkova, 2021).  We use data from the CEFIR NES survey of exporters conducted in 2020. 72% of respondents reported that they were affected by the crisis. We scrutinize this impact. Contrary to popular wisdom, we observe little difference in delays of inputs by domestic and foreign suppliers. On the other hand, exporters experienced more disruptions in their sales in foreign destinations than in the domestic market. Possible reasons for this may be due to restrictions on international travel.

Introduction

According to experts at the Gaidar Institute (Knobel, Firanchuk, 2021), in 2020, Russia’s non-resource non-energy exports, decreased by 4.3%, while export prices fell by 4.1 % on average. The export of high-tech goods decreased by 14% due to a reduction in the physical volume of export. These changes in export intensity are mainly associated with the COVID-19 pandemic crisis. But are exporting firms more affected by the crisis than firms only active in the domestic market? What are the main channels through which the crisis influenced exporters?  And how do exporters adjust to the COVID-19 related shocks?

The analysis in this brief is based on forthcoming publication in the Journal of New Economic Association (Volchkova, 2021). We use data from a survey of Russian non-resource exporters conducted in 2020. We show that involvement in international trade did not affect the company’s vulnerability to the crisis on the production side: supply delays were equally likely to occur from domestic and foreign suppliers. These findings are consistent with Bonadio et al. (2021) who consider a numerical multi-sectoral model for 64 countries around the world linked by supply chains. They show that, in the face of the employment shocks associated with quarantine measures and switching to a remote work format, the contribution of global chains to the decline of real GDP is about one quarter. Importantly, the authors show that the “re-nationalization” of supply chains does not make countries more resilient to shocks associated with quarantine measures on the labor market because these shocks are also bad for domestic industries.

At the same time, our results indicate that exporting companies are exposed to additional risks associated with the need to adjust to shocks in the sales markets. According to the data, exporters find it more difficult to adjust their sales in foreign markets than in the domestic one. This is consistent with the fact that, during the pandemic, all countries introduced a strict ban on international travel, reducing the possibility of establishing new business ties through personal contacts. Similarly, Benzi et al. (2020) show a significant negative effect of international travel restrictions on the export of services.

Survey of Non-resource Exporters

The survey of exporters was carried out in June – November 2020 by CEFIR NES. The primary purpose of the survey was to identify and estimate barriers to the export of non-primary non-energy products. In the context of the developing economic crisis caused by the COVID-19 pandemic, we have added several questions to identify how the crisis influenced companies’ operations and how the respondent firms adjusted to the new conditions.

The survey was conducted using a representative sample of Russian exporting firms. As a control group, we interviewed non-exporting firms with (observable) characteristics (region, industry, labor productivity) similar to those of the surveyed exporters. Altogether, 928 exporting companies and 344 non-exporting companies were interviewed during the field stage of the study.

Most exporting companies that took part in the survey produce food products, chemicals, machinery and equipment, electrical equipment, metal products, and timber. On average, a surveyed exporter had 827 full-time employees; 25% of the firms had fewer than 26 employees. More than half of the surveyed exporting firms (53%) are also importers: 81% import raw materials and other inputs, 66% import equipment, and 22% import technology. Most interviewed exporters sell their products both abroad and on the domestic market. On average, an enterprise supplies 67% of its output to the domestic market and 32% abroad.

Impact of the COVID-19 Crisis on Firms’ Performance

Among exporters that participated in the survey, 25% reported that their business was not affected by the COVID-19 crisis, while 72% of respondents stated that the crisis did have an impact. Like any crisis, the COVID-19 pandemic created problems for some enterprises and provided new beneficial opportunities for others. According to the data, exporting businesses were significantly more likely to be negatively affected by the crisis than their non-exporting counterparts, and the impact of the crisis was not correlated with the size of the enterprise. Figure 1 presents the exporters’ answers to the question of how their sales in the domestic and foreign markets have changed with the COVID-19 pandemic.

The distribution of changes in sales volume in domestic and foreign markets significantly differ from each other. Estimates of the mean values of changes in sales volumes also differ significantly: the average drop in sales in the domestic market was 5%, while for the external market, it reached 17%. Hence, in times of the COVID-19 crisis, opportunities for growth were less prominent in foreign markets than in the domestic one, while significant market losses were more frequent.

Figure 1. Change in sales of export companies associated with the COVID-19 pandemic

Source: Survey of non-resource exporters, CEFIR NES, 2020.

Adjustment to the Crisis

The most frequently used crisis adjustment measure was employees transition to remote work – it was reported by 70% of the surveyed companies. 25% of exporters were forced to suspend their work during the crisis, while 72% were not. 14% of respondents stated they had to cut their payroll expenditures and other non-monetary benefits for employees (food, insurance, etc.), 12% of companies sent workers on unpaid leave. Only 6.5% of export firms had to lay off workers, while 91% handled the crisis without layoffs.

Comparing exporters’ answers with those of non-exporters while controlling for enterprise size, we conclude that exporting firms were more rigid in their adjustment  to the crisis. They were significantly more likely to suspend enterprise activities, dismiss of employees, send workers on unpaid leave, and reduce of wages. Also, these events were more likely to occur for smaller companies than for larger ones.

At the same time, flexible adjustment measures such as remote work were equally likely to be used by exporters and non-exporters, as well as by firms of different sizes. In general, Russian exporters of non-primary goods maintained their efficiency mainly by adjusting the labor relations to the new epidemiological conditions rather than by reducing employee-related expenses.

Dealing with Counterparties

Delays in the supply of components and raw materials were reported by 36% of the surveyed companies, and such delays were equally likely for shipments from abroad and domestic shipments. There is a perception that international supply chains in the context of the pandemic crisis are an additional risk factor. Our results indicate that domestic and international supply chains were equally challenged in 2020. Nevertheless, non-exporting companies faced the problem of delayed deliveries significantly less often than exporters did, and about 60% of companies experienced no problems at all on the input supply side.

27% of surveyed exporters stated that they delayed payments to counterparties. Non-exporting companies reported these reactions much less frequently regardless of firm size.

On the sales side, half of the surveyed exporters experienced delays in payments from their customers during the pandemic crisis. Non-exporting enterprises encountered the problems with the same frequency, and companies of all sizes were affected by this obstacle equally.

The cases of planned purchases cancellation on behalf of buyers were reported by 34% of exporting companies. Exporters experienced these problems significantly more often than non-exporters, and smaller companies experienced them much more often than larger ones.

Crossing international borders presented a certain problem for Russian exporters when it concerns product delivery. Just over half of the respondents indicated that they had to delay deliveries due to difficulties with border crossing. However, about the same share of companies (48%) reported that they delayed products delivery due to the introduction of lockdowns. Thus, during the COVID-19 pandemic, exporters’ operations were complicated to the same extent by problems related to border crossings as by those associated with lockdown regimes.

Conclusion

It is widely believed that international exposure of companies in the context of the COVID-19 pandemic crisis creates additional risks. Our study shows that, regarding existing inputs supply, international relations pose problems for Russian companies just as often as relations with domestic partners. As far as sales are concerned, adjustment to the crisis was better on the domestic market than on foreign markets. A possible explanation of this phenomenon is that, in addition to the shocks associated with quarantine measures in the labor market, access to foreign markets was hampered by restrictions on international travel, which is essential for readjusting contractual relations to explore new opportunities brought by crises (Cristea, 2011). Without personal interaction, new contracts were more difficult to launch. Thus firms’ opportunities to adjust foreign sales were more restricted than the ones in the domestic market.

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 mentions: Key takeaways from this policy brief have been published by one of the most influential media outlets in Russia Kommersant – Коммерсант: «Ковид сильнее ударил по экспортерам». Исследование ЦЭФИР РЭШ. 

Agricultural Exports and the DCFTA: A Perspective from Georgia

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On June 27, 2014, Georgia and the EU signed an Association Agreement (AA) and its integral part – the Deep and Comprehensive Free Trade Area (DCFTA). In this policy brief, we discuss the changes and analyze the agricultural exports statistics of Georgia since 2014. Furthermore, we will provide the recommendations to capitalize on the opportunities that the DCFTA offers to Georgia.

Georgia is a traditional agrarian country, where agriculture constitutes an important part of the economy. 36.6% of the country’s territory are agricultural lands and 48.2% of the Georgian population live in villages. Although 55% of population are employed in agriculture, Georgia’s agriculture accounts for only 15.8% of its GDP (Geostat, 2019). Agricultural exports constitute an important part of Georgia’s economy, accounting for about 25-30% of total exports.

On June 27, 2014, Georgia and the EU signed an Association Agreement (AA) and its integral part, the Deep and Comprehensive Free Trade Area (DCFTA). On July 1st, 2016, the DCFTA fully entered into force. The DCFTA aims to create a stable and growth-oriented policy framework that will enhance competitiveness and facilitate new opportunities for trade. The DCFTA widens the list of products covered by the Generalized System of Preferences+ (GSP+) and sets zero tariffs on all food categories (only garlic is under quota), including potentially interesting products for Georgian exports – wine, cheese, berries, hazelnuts, etc. (Economic Policy Research Center, 2014).

As July 2018 marked only two years since the implementation of the DCFTA between Georgia and EU, valuable conclusions on its impact cannot be formulated yet. In this policy brief, we will give an overview of Georgia’s agricultural trade statistics, particularly, we will focus on agricultural exports and provide recommendations for capitalizing on opportunities offered by the DCFTA.

Georgia’s agricultural trade

Despite its potential and natural resources, Georgia is a net importer of agricultural products. In 2018, Georgia’s agricultural exports increased by 23.2% (181 million USD), while the respective imports grew by only 15.5% (179 million USD) compared to 2017. Therefore, the trade balance (the difference between exports and imports) remained almost unchanged at (-394) million USD (Figure 1).

Figure 1: Georgia’s Agricultural Trade (2014-2018)

Source: Geostat, 2019

Out of the sharp increase in agricultural exports, 100 million USD are attributed to tobacco and cigars. Since Georgia cultivates very little tobacco, the growth was instigated mostly from the import, slight processing and re-export of tobacco products. Consequently, the export of tobacco and cigars increased by 240% in 2018, and it currently holds second place (after wine) in Georgia’s total food and agricultural exports. It should be mentioned that wine exports contributed to 26 million USD in export growth.

Over the last five-year period, the top export countries for Georgia were mainly neighboring counties (Azerbaijan, Russia, Armenia, Turkey); for imports, we see the same neighboring countries as well as China and Ukraine. Observing the trade statistics over the years, 45% of Georgia’s agricultural exports were destined for markets in countries of the former Soviet Union, so-called Commonwealth of Independent States (CIS), while the EU’s share in Georgia’s total agricultural exports was 24%.

Trade relationships between Georgia and the EU

The EU is one of Georgia’s largest trade partners. The EU’s share of total Georgian imports was 28% in 2018, and for exports, 24%. Total exports have been more or less stable since 2014, except for 2016, when an 11% decrease was observed (Figure 2). Specifically, for agriculture, in 2017, the EU’s share of Georgian imports was 22%, and its share of exports was 19%. During the same period, the top export products were hazelnuts (shelled), spirits obtained by distilling grape wine or grape marc, wine, mineral and aerated waters and jams, jellies, marmalades, purées or pastes of fruit.

Figure 2: Total and Agricultural Exports to the EU (2014-2018)

Source: Geostat, MoF, 2019

In 2015 (before the full enforcement of the DCFTA), Georgia’s agricultural exports to EU countries (including the United Kingdom) increased by 20% compared to the previous year. This positive trend remained in 2016, when the same indicator increased by 5%. In 2017, which was quite a bad year in terms of harvest in Georgia, we observed a 38% decrease in the country’s agricultural export to the EU (Figure 2). This decrease was mainly caused by a significant decrease (64%) in hazelnut exports during the same period. The reason for such a large decrease is that hazelnut production suffered from various fungal diseases due to unfavorable weather conditions in 2017. The Asian Stink Bug invasion worsened the situation, and in the end, hazelnut exports dropped dramatically in both value and quantity. In 2018, Georgia’s agricultural export in EU slightly increased by 6% compared to 2017.

Trade relationships between Georgia and CIS countries

It is interesting to observe agricultural trade within the same time period with CIS countries. In 2018, the CIS’ share of Georgian imports was 51%, and its share of exports was 60%. The top export products to CIS countries were wine, mineral and aerated waters, spirits obtained by distilling grape wine or grape marc, hazelnuts (shelled), and waters, including mineral and aerated, with added sugar, sweetener or flavor, for direct consumption as a beverage. As we can see in both EU and CIS countries, the top export products are more or less the same. However, the main export destination market for Georgian hazelnuts are EU countries, but wine is mostly exported to the CIS countries.

Figure 3: Agricultural Exports to CIS Countries (2014-2018)

Source: Geostat, MoF, 2019

Due to the worsened economic situation in CIS countries, Georgia’s agricultural exports to these countries decreased by 37% in 2015. Such a sharp decrease was mainly driven by a significant decrease in the export of alcoholic and non-alcoholic beverages, hazelnut, and live cattle. However, since 2015, Georgia’s agricultural exports to CIS countries have been increasing; we observed a slight 2% increase in the value of agricultural exports in 2016, while the same indicator was 37% in 2017 (Figure 3). That was mainly caused by the increased exports of alcoholic and non-alcoholic beverages (wine by 61%, spirits by 28%, mineral and aerated waters by 22%). In 2018, Georgia’s agricultural export in CIS countries increased by 12% compared to 2017.

Conclusion

Despite its potential and comparative advantage in agriculture, Georgia is still a net importer of agricultural products and has negative trade balance (-394 mn USD). Two years after the DCFTA came into force, it is challenging to know its impact on Georgia’s agricultural trade due to the insufficient passage of time since. Notwithstanding, we can formulate some conclusions from trade statistics. The diversity of the destinations for Georgia’s agricultural exports has not changed through the years. Georgia’s agricultural exports has increased to the EU, but at a quicker pace to CIS too. Furthermore, Georgia’s share of agricultural exports to CIS countries is still significant (60%).

While it is obvious that Georgia needs to diversify its agricultural export destination markets, there are several challenges facing small and medium size farmers and agricultural cooperatives in Georgia that are not specific to implementation of the DCFTA. As the previous regime (GSP+) with the EU already covered most products, the DCFTA did not represent a significant breakthrough. On the path to European integration, the biggest challenge for Georgia is to comply to non-tariff requirements such as food safety standards and SPS measures. The attention should be paid on providing consultations to farmers regarding certification processes and standards and better information sharing (e.g. developing online platforms).

In Georgia, agri-food value chains are not well-developed and lack coordination among different actors. In order to capitalize on opportunities offered by the DCFTA, government and private sector should work together to improve logistics infrastructure. There is a need for upgrading at every stage of export logistics: warehousing, processing, labeling, regional consolidation, final customer services. In this regard, there are high approximation costs for business that should be considered as long-term investment to modernize agriculture and improve food the safety system in the country. This would boost the export potential not only to the EU, but to other countries with similar requirements as well.

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.

“New Goods” Trade in the Baltics

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We analyze the role of the new goods margin—those goods that initially account for very small volumes of trade—in the Baltic states’ trade growth during the 1995-2008 period. We find that, on average, the basket of goods that in 1995 accounted for 10% of total Baltic exports and imports to their main trade partners, represented nearly 50% and 25% of total exports and imports in 2008, respectively. Moreover, we find that the share of Baltic new-goods exports outpaced that of other transition economies of Central and Eastern Europe. As the International Trade literature has recently shown, these increases in newly-traded goods could in turn have significant implications in terms of welfare and productivity gains within the Baltic economies.

New EU members, new trade opportunities

The Eastern enlargements of the European Union (EU) that have taken place since 2004 included the liberalization of trade as one of their main pillars and consequently provided new opportunities for the expansion of trade among the new and old members. Growth in trade following trade liberalization episodes such as the ones contemplated in the recent EU expansions could occur because of two reasons. First, because countries export and import more of the goods that they had already been trading. Alternatively, trade liberalization could promote the exchange of goods that had previously not been traded. The latter alternative is usually referred to as increases in the extensive margin of trade, or the new goods margin.

The new goods margin has been receiving a considerable amount of attention in the International Trade literature. For example, Broda and Weinstein (2006) estimate the value to American consumers derived from the growth in the variety of import products between 1972 and 2001 to be as large as 2.6% of GDP, while Chen and Hong (2012) find a figure of 4.9% of GDP for the Chinese case between 1997 and 2008. Similarly, Feenstra and Kee (2008) find that, in a sample of 44 countries, the total increase in export variety is associated with an average 3.3% productivity gain per year for exporters over the 1980–2000 period. This suggests that the new goods margin has significant implications in terms of both welfare and productivity.

In a forthcoming article (Cho and Díaz, in press) we study the patterns of the new goods margin for the three Baltic states: Estonia, Latvia and Lithuania. We investigate whether the period of rapid trade expansion experienced by these countries after gaining independence in 1991—average exports grew by more than 700% between 1995 and 2008 in nominal terms, and average imports by more than 800%—also coincided with increases in newly-traded goods by quantifying the relative importance of the new goods margin between 1995 and 2008. This policy brief summarizes our results.

Why focus on the Baltics?

The Baltic economies present an interesting case for a series of reasons. First, along a number of dimensions, the Baltic countries stood out as leaders among the formerly centrally-planned economies in implementing market- and trade-liberalization reforms. Indeed, those are the kind of structural changes that Kehoe and Ruhl (2013) identify as the main drivers of extensive margin increases. Second, unlike other transition economies, as part of the Soviet Union the Baltics lacked any degree of autonomy. Thus, upon independence, they faced a vast array of challenges, among them the difficult task of establishing trade relationships with the rest of the world, which prior to 1991 were determined solely from Moscow. Lastly, as former Soviet republics, the Baltic states had sizable portions of ethnic Russian-speaking population, most of which remained in the Baltics even after their independence. At least in principle, this gave the Baltic economies a unique potential to better tap into the Russian market.

Defining “new goods”

We use bilateral merchandise trade data for Estonia, Latvia and Lithuania starting in 1995 and ending in 2008, the year before the Global Financial Crisis (GFC). The data are taken from the World Bank’s World Integrated Trade Solution database. The trade data are disaggregated at the 5-digit level of the SITC Revision 2 code, which implies that our analysis deals with 1,836 different goods.

To construct a measure of the new goods margin, we follow the methodology laid out in Kehoe and Ruhl (2013). First, for each good we compute the average export and import value during the first three years in the sample (in our case, 1995 to 1997), to avoid any distortions that could arise from our choice of the initial year. Next, goods are sorted in ascending order according to the three-year average. Finally, the cumulative value of the ranked goods is grouped into 10 brackets, each containing 10% of total trade. The basket of goods in the bottom decile is labeled as the “new” goods or “least-traded” goods, since it contains goods that initially recorded zero trade, as well as goods that were traded in positive—but low—volumes. We then trace the evolution of the trade value of the goods in the bottom decile, which represents the growth of trade in least-traded goods.

Findings

For ease of exposition, we present the results for the average Baltic exports and imports of least-traded goods, rather than the trade flows for each country. Results for each individual country can be found in Cho and Díaz (in press). We report the least-traded exports and imports to and from the Baltics’ main trade partners: the EU15, composed of the 15-country bloc that constituted the EU prior to the 2004 expansion; Germany, which within the EU15 stands out as the main trade partner of Latvia and Lithuania; the “Nordics”, a group that combines Finland and Sweden, Estonia’s largest trade partners; and Russia, because of its historical ties with the Baltic states and its relative importance in their total trade.

Least-traded exports

Figure 1 shows the evolution over time of the share in total exports of the goods that were initially labeled as “new goods”, i.e., those products that accounted for 10% of total trade in 1995. We find that the Baltic states were able to increase their least-traded exports significantly, and by 2008 such exports accounted for nearly 40% of total exports to the EU15, and close to 53%, 49% and 49% of total exports to Germany, the Nordic countries, and Russia, respectively. Moreover, we find that the fastest growth in least-traded exports to the EU15 and its individual members coincided with the periods when the Association Agreements and accession to the EU took place. Finally, we discover that the rapid increase in least-traded exports to the EU15 during the late 1990s and early 2000s is accompanied by a stagnation of least-traded exports to Russia. This suggest that, as the Baltics received preferential treatment from the EU, they expanded their export variety mix in that market at the expense of the Russian. Growth in least-traded exports to Russia only resumed in the mid 2000s, when the Baltics became EU members and were granted the same preferential treatment in the Russian market that the other EU members enjoyed.

Figure 1. Baltic least-traded exports

Source: Cho and Díaz (in press).

Least-traded imports

Figure 2 plots the evolution of Baltic least-traded imports between 1995 and 2008. We find that new goods imports also grew at robust rates, but their growth is about half the magnitude of the growth in the least-traded exports—the least-traded imports nearly doubled their share, whereas the least-traded exports quadrupled it. The least-traded imports from the EU15 and its individual members exhibited consistent growth throughout. On the other hand, imports of new goods from Russia—which had also been growing since 1995—started a continuous decline starting in 2003. This change in patterns can be attributed to the Baltics joining the EU customs union. Prior to their EU accession, the average Baltic tariff was in general low. Upon EU accession, the Baltics adopted the EU’s Commercial Common Policy, which removed trade restrictions for EU goods flowing into the Baltics, but—from the perspective of the Baltic countries—raised tariffs on non-EU imports, in turn discouraging the imports of Russian new goods.

Figure 2. Baltic least-traded imports

Source: Cho and Díaz (in press).

Are the Baltics different?

Figure 1 shows that the Baltic states were able to increase their least-traded exports by a significant margin. A natural question follows: Is this a feature that is unique of the Baltic economies, or is it instead a generalized trend among the transition countries?

Table 1: Growth of the share of least-traded exports (percent, annual average)

Source: Cho and Díaz (in press).

Table 1 reveals that the new goods margin played a much larger role for the Baltic states than for other transition economies such as the Czech Republic, Hungary and Poland (which we label as “Non-Baltics”), for all the export destinations we consider. Moreover, we find that while until 2004—the year of the EU accession—both Baltic and Non-Baltic countries displayed high and comparable growth rates of least-traded exports, this trend changed after 2004. Indeed, while there is no noticeable slowdown in the Baltic growth rate, after 2004 the Non-Baltic growth of least-traded exports to the world and to the EU15 all but stops, with the only exception being the Nordic destinations.

Conclusion

The Baltic states, and in particular Estonia, are usually portrayed as exemplary models of trade liberalization among the transition economies. Our results indicate that the Baltics substantially increased both their imports and exports of least-traded goods between 1995 and 2008. Since increases in the import variety mix have been shown to entail non-negligible welfare effects, we expect large welfare gains for the Baltic consumers experienced due to the increases in the imports of previously least-traded goods. Moreover, the literature has documented that increases in export variety are associated with increases in labor productivity. Our findings reveal that the Baltics’ increases in their exports of least-traded goods were even larger than their imports of new goods, thus underscoring the importance of the new goods margin because of their contribution to labor productivity gains.

References

  • Broda, Christian; and David E. Weinstein, 2006. “Globalization and the gains from variety,” Quarterly Journal of Economics, Vol. 121 (2), pp. 541–585.
  • Chen, Bo; and Ma Hong, 2012. “Import variety and welfare gain in China,” Review of International Economics, Vol. 20 (4), pp. 807–820.
  • Cho, Sang-Wook (Stanley); and Julián P. Díaz. “The new goods margin in new markets,” Journal of Comparative Economics, in press.
  • Feenstra, Robert C.; and Hiau Looi Kee, 2008. “Export variety and country productivity: estimating the monopolistic competition model with endogenous productivity,” Journal of International Economics, Vol. 74 (2), pp. 500–518.
  • Kehoe, Timothy J.; and Kim J. Ruhl, 2013. “How important is the new goods margin in international trade?” Journal of Political Economy, Vol. 121 (2), pp. 358–392.

Operating and Financial Hedging: Evidence from Trade

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There is a large and growing literature that has modeled how real policies affect and interact with financial policies. It is important to consider such an interaction since a firm, just as a single value-maximizing agent, should make its strategic decisions optimally, taking into account all of its multi-dimensional facets (contracts with employees and suppliers, situation with market competitors, innovation, foreign-market operations and others – on the real side, and capital structure, dividend policy, IPO, hedging behavior – on the financial side). This policy brief introduces a new type of hedging exchange-rate risks through matching currencies of export revenues and import costs, and shows how it substitutes out financial hedging using currency derivatives.

Exchange-rate exposure and financial hedging around the world

Many firms are exposed to exchange-rate fluctuations in one way or the other. Because volatility is typically considered to be bad for a firm – either because small firms are risk-averse or because it may reduce the value of a risk-neutral firm through costly distress or agency costs – firms attempt to hedge it. Indeed many successfully do so. Bartram et al. (2009) report that about 60% of non-financial firms around the world use financial derivatives (forwards, futures, swaps, etc.), with the most popular type being currency derivatives (44%). These large numbers indicate the importance of risk management in general and hedging exchange-rate shocks in particular. There is also a considerable heterogeneity across countries. According to their investigation based on a subsample of world firms, currency derivative usage ranges from 6% in China and 15% in Malaysia, to 37% in the United States and 48% across Europe, to 80% in New Zealand and 88% in South Africa.

There is also some cross-sectional variation across firms. Geczy et al. (1997) report that among U.S. firms those with greater growth opportunities, tighter financial constraints, extensive foreign exchange-rate exposure and economies of scale in hedging activities are more likely to use currency derivatives.

Operational hedging

So what are potential alternatives to hedging exchange-rate exposure through currency derivatives? The literature has suggested other ways of reducing such cash-flow volatility – through operational hedges. The examples include diversifying the company’s operations and production geographically (as in Allayannis et al., 2001). The authors provide an example of Schering-Plough (a United States-based pharmaceutical company) that in their 1995 annual report suggested that hedging using financial instruments was not considered cost-effective, since the company operated in many foreign countries where the currencies would not generally move in parallel. More recent studies (e.g. Kim et al., 2006; Hankins, 2011) also support the geographical diversification of production and acquisition of foreign subsidiaries as important channels of operational hedging, and as such they can act as substitutes for financial hedging.

These papers are also part of the larger literature on the interrelations between real and financial strategies, and in particular the literature that has modeled how real policies, aimed at lowering operational risks (or alternatively increasing operating flexibility), reflect in various financial decisions (such as e.g. capital structure). Examples of such policies include the use of flexible manufacturing systems that allow changing the level of output, the product mix, or the operating “mode” (as in Brennan and Schwartz, 1985; He and Pindyck, 1992; and Kulatilaka and Trigeorgis, 2004); employing a contingent workforce (e.g. part-time and seasonal labor, as in Hanka, 1998 or workers on temporary contracts, as in Kuzmina, 2014); adopting a defined contribution, rather than a defined benefit or pension plan (as in Petersen, 1994); and many others.

Trade-related operational hedges

In Kuzmina and Kuznetsova (2016), we explore a different type of operational hedging – the one arising from exporting final goods and importing intermediate inputs from abroad at the same time. As previous literature has suggested, firms that export their final goods are naturally more exposed to exchange-rate risks due to their foreign-denominated contract obligations that have to be translated into domestic currency when the transaction clears in the future, the so-called transaction exposure of companies (Glaum, 2005). As long as volatility is costly for firms, higher exchange-rate exposure leads to more financial hedging, so previous papers indeed find a positive correlation between exporting and currency hedging (e.g. Geczy et al., 1997; He and Ng, 1998; Allayannis and Ofek, 2001).

This argument would similarly apply to firms that import their intermediate inputs from abroad, since they are similarly exposed to exchange-rate fluctuations on the cost side. In our paper, we attempt to provide new evidence on these channels, as well as to introduce a novel explanation to why not all firms hedge using financial derivatives. We show that firms that export and import at the same time hedge less using currency derivatives, and especially when volatility of exchange rate is high.  We argue that when firms both export and import at the same time, their net foreign-denominated position (and thus exchange-rate exposure) becomes lower on average, and hence there is less incentive to hedge against it. This is consistent with foreign-currency matching of costs and revenues, which is a phenomenon also observable in other data. Although in our data we cannot observe currency of individual transactions for each firm, we do so in another project based on the data from Russia. Our calculations for Russian data, based on the whole universe of import and export declarations, suggest that for the major currencies, the probability of importing in the same currency is higher than in any other currency when a firm also exports in this currency. For example, out of all firms that have exports in Euro and some imports, 82% would import in Euro. The similar number for the U.S. dollar is 71%. Such trade-related operational hedge may arise naturally for firms in the global world, thus reducing their need to use financial instruments.

Germany as an interesting laboratory

To test our hypotheses, we use hand-collected data on a sample of German public firms during 2011-2014. Germany is a particularly relevant country for testing our hypotheses for at least three reasons.

First of all, it is the world’s third largest exporter and importer and the top one in Europe. Second and most importantly, if we want to explore currency risk arising from exporting and importing, at least some (and preferably many) of the export and import transactions have to occur in a foreign currency. This means that, for example, looking at the U.S. data would not give us a lot of power in identifying our mechanism, since according to Goldberg and Tille (2008), only 5% of all U.S. export contracts are set in a currency other than the U.S. dollar. On the other hand, more than half of German exports and imports outside the euro area are denominated in a currency other than the Euro, and in particular about 30-40% of all contracts are set in U.S. dollars.  This means that our measured shares of non-euro zone exports and imports will actually have a large component of non-euro-denominated contracts, and we will have more power to measure the actual exchange-rate exposure arising from exporting and importing. Finally, we analyze the largest companies in Germany – those that trade on the Prime Standard segment of the Frankfurt Stock Exchange, since they have to disclose their use of derivatives due to the highest accounting and transparency requirements of this listing. These mandatory disclosure rules enable us to collect the data on hedging from companies’ annual reports and perform the analysis.

Identification strategy and results

To start the analysis, we provide some cross-sectional correlations. We find that firms in industries with more out-of-euro-zone exporting (importing) have a higher propensity to hedge using currency derivatives. In particular, a firm in an industry with 10pp higher export (import) shares has on average a 10.5pp (28.9pp) higher probability of currency hedging.

Although many industries simultaneously export and import a lot, others have a substantial imbalance in terms of export and import shares. We are therefore interested in whether this translates into different hedging behaviors. By adding the interaction between export and import shares in our regression specifications, we find that firms that simultaneously export and import hedge less than firms that just export or import. This is consistent with our hypothesis that firms decrease their effective exchange-rate exposure by having both revenues and costs in foreign currency and implies that operational hedging through matched currencies is a substitute for financial hedging.

In order to strengthen the result, we complement our cross-sectional correlations with a difference-in-differences methodology. To do this, we compare firms in industries with higher and lower out-of-euro-zone export and import shares during times of higher and lower exchange-rate volatility. We find that the higher the exchange-rate volatility, the larger this substitution effect is. This finding is stronger than a simple cross-sectional correlation between exporting, importing and hedging (which can be driven by omitted factors), since it uses an arguably exogenous volatility shock to show that operational hedging substitutes for financial hedging precisely during times when firms have highest incentives to hedge. The results are robust to using a set of control variables and firm and year fixed effects.

Implications

From an applied perspective, the interrelation between operational and financial strategies of the firm suggests that the decisions of the CEO and CFO should be complementary to each other to achieve the value-maximization goal of the firm. From a policy perspective, they imply that exogenous changes in government policies aimed at certain organizational changes in the firm (e.g. export promotion policies) could have indirect consequences for their riskiness and financing decisions.

References

  • Allayannis, G., J. Ihrig, and J. P. Weston (2001), “Exchange-rate hedging: Financial versus operational strategies”. American Economic Review 91 (2), 391-395.
  • Allayannis, G. and E. Ofek (2001), “Exchange rate exposure, hedging, and the use of foreign currency derivatives”, Journal of International Money and Finance 20 (2), 273-296.
  • Bartram, S. M., G. W. Brown, and F. R. Fehle (2009), “International evidence on financial derivatives usage”, Financial Management 38 (1), 185-206.
  • Brennan, M. and E. S. Schwartz (1985), “Evaluating natural resource investments”, The Journal of Business 58 (2), 135-157.
  • Geczy, C., B. A. Minton, and C. Schrand (1997), “Why firms use currency derivatives”, Journal of Finance 52 (4), 1323-1354.
  • Glaum, M. (2005), “Foreign-Exchange-Risk Management in German Non-Financial Corporations: An Empirical Analysis”, Springer.
  • Hanka, G. (1998), “Debt and the terms of employment”, Journal of Financial Economics 48 (3), 245-282.
  • Hankins, K. W. (2011), “How do financial firms manage risk? Unraveling the interaction of financial and operational hedging”, Management Science 57 (12), 2197-2212.
  • He, H. and R. S. Pindyck (1992), “Investments in flexible production capacity”, Journal of Economic Dynamics and Control 16 (3-4), 575-599.
  • He, J. and L. K. Ng (1998), “The foreign exchange exposure of Japanese multinational corporations”, Journal of Finance 53 (2), 733-753.
  • Kim, Y. S., I. Mathur, and N. Jouahn (2006), “Is operational hedging a substitute for or a complement to financial hedging?” Journal of Corporate Finance 12 (4), 834-853.
  • Kulatilaka, N. and L. Trigeorgis (2004), “The general flexibility to switch: Real options revisited”, Real options and investment under uncertainty: classical readings and recent contributions, 179-198.
  • Kuzmina, O. (2014), “Operating flexibility and capital structure: Evidence from a natural experiment”, American Finance Association Conference, Philadelphia.
  • Kuzmina O. and O. Kuznetsova (2016), “Operating and Financial Hedging: Evidence from Trade”, CEFIR Working paper.

Petersen, M. (1994), “Cash flow variability and a firm’s pension choice: A role for operating leverage”, Journal of Financial Economics 36, 361-383.

Trade Preferences Removal – The Case of Belarus

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How does the removal of trade preferences influence the exports of the affected country? We study this question on the example of Belarus’ loss of trade preferences granted by the EU to developing countries. Our brief argues that trade preferences are most important for simple non-manufactured goods. As a result, removal of trade preferences should increase the manufactured goods in the export structure. Indeed, the overall complexity of Belarusian exports was not harmed by the removal of EU preferences and the manufactured exports increased relative to non-manufactured exports.

Belarus losing trade preferences

As a developing country, Belarus used to receive trade preferences from the US and EU. These preferences grant duty-free imports or provide a discount on the import tariff under the so-called Generalized System of Preferences (GSP). The preferences are provided on a unilateral basis to developing countries and can also be removed on a unilateral basis for various reasons. Their stated objective is to support the economic development of poorer countries (Ornelas 2016). In particular, the US removed Belarus’ preferences in 2000 for worker rights violations. Later, the EU removed the preferences in 2007 for similar reasons. It is a relevant question for policy to understand how the removal of trade preferences affected exports.

This brief discusses the effect of trade preferences removal on the value of Belarus’ exports to the EU and on the structure of exports. Utilization of trade preferences might not be uniform across sectors. In fact, a preference-receiving country should satisfy the Rules of Origin (ROO) requirements and demonstrate that a large enough share of the exported product was produced in the country. This requirement might be more difficult to satisfy for complex manufactured goods with many components from several countries (Hakobyan 2015). Exporters of such products might find satisfying the ROO more costly than what they could gain from receiving an import tariff preference. Exporters of simple or raw products, on the other hand, face a lower cost of demonstrating the origin.

The remainder of the brief develops the hypothesis of a differential impact of trade preferences removal on manufactured and non-manufactured goods; and makes an event study of Belarus’ loss of EU trade preferences in 2007. Our findings suggest that GSP withdrawal affected disproportionally non-manufactured exports, leading to an increase in the manufacturing exports share. This means that harm caused by losing trade preferences was, to some extent, reduced by higher incentives to export more complex manufactured exports.

The complexity of Belarusian exports

To understand the overall structure of Belarusian exports, we first look at the complexity of Belarusian exports over time. Figure 1 presents the economic complexity index (ECI), developed by Hausmann et al. (2014), of exports of Belarus relative to Russia from 1995 to 2014. The ECI measures the diversity and ubiquity of a country’s exports. It considers the number of products a country exports with revealed comparative advantages and how complex these products are. In turn, the complexity of the products is accessed by a so-called product complexity index, PCI. It is determined in an analogous fashion: if few countries are able to export a good and these countries have diversified exports, this product is complex. For example, fertilizers and oil (important exports of Belarus) have low complexity scores, as countries that export these products tend to not have diversified exports.

Figure 1 shows that the difference between the economic complexity of Belarus and Russia increased following the two incidents of Belarus losing trade preferences; first from the US and then from the EU. The incidents of removal of trade preferences are associated with an increase in economic complexity of Belarusian exports relative to Russia. That is, the export of more complex manufactured goods became more important in the export basket of Belarus when it lost the trade preferences. This is consistent with the hypothesis that trade preferences are more important for simpler goods, and following a preference removal their share will go down. Russia is chosen for comparison due to its similarity in economic perspective (economies in transition, similar complexity, GDP trends, dependence on oil and fertilizer prices) and because it also received trade preferences from both the US and EU throughout the considered period.

Figure 1. GSP withdrawal and Export Complexity in Belarus relative to Russia

Note: the figure presents the ECI of Belarus over ECI of Russia in logarithmic form. Source: Authors’ calculations using the ECI data from the Observatory of Economic Complexity.

Export structure of Belarus

To make a first pass at understanding how GSP withdrawal affects the composition of exports, we conduct an event study centered on the year of 2007, when the EU withdrew its GSP preferences for Belarus. We consider the three years before and after the revocation, and benchmark the share of manufacturing exports from Belarus to the EU with its share of manufacturing exports to the US. Since the US had already withdrawn its preferences earlier, its trade regime with Belarus stayed unchanged throughout the period. This makes the US a natural point of comparison to understand the effect of GSP withdrawal.

Findings

As Figure 2 shows, the average share of manufactured products in Belarusian exports to the EU increased slightly after the GSP withdrawal, increasing to 40.4% from its earlier level of 37.9%. At the same time, mineral and fuel exports, though falling slightly, remain the backbone of Belarusian exports accounting for 50% of total exports to Europe. Interestingly, the share of non-fuel exports to the EU remained approximately unchanged at 9%. In other words, the composition of exports to Europe did not drastically change after the GSP withdrawal, as had been anticipated by some ex-ante studies (e.g. BISS 2007).

This comparison alone does not address the question of what might have happened to Belarusian manufacturing exports had the GSP preference not been removed. One possible counterfactual is that the trends in the European export market would have been the same as in the US, where Belarusian manufacturing exports massively lost ground. Their share decreased from 53.4% to 19.3%. Hence, a difference-in-difference estimator would suggest that perhaps the withdrawal of the GSP reduced non-manufacturing export growth to Europe. In turn, the Belarusian manufacturing export share is estimated to be 36.5% higher than it might have been if the GSP had not been withdrawn (statistically significant at the 1% level). This estimate may be a result of trade diversion of non-manufactured goods from the EU to the US. To the extent that non-manufacturing products benefit more from the GSP preferences, these should be stronger affected by trade diversion and would therefore reduce the manufacturing share of Belarus’ exports to the US.

Figure 2. Share of Manufacturing Exports

Note: Manufacturing includes sectors 5, 6, 7 and 8 according to the SITC classification. Source: Authors’ calculations using data from the UN COMTRADE.

Alternatively, one could consider the Belarusian manufacturing export share in relation to Russia, within the European market. For Russia, there is a pattern of declining manufacturing shares. Before 2007, manufacturing accounted for 17.7% of exports to the EU, but afterwards it declined to 14.2%, a 2.5% fall. If Belarus had experienced the same trend, its manufacturing share would have fallen from 37.9% to 34.4%. Instead, Belarusian manufacturing share grew from 37.9 to 40.4%, which suggests that due to the GSP removal, the Belarusian manufacturing export increased by 6%. Given the smaller effect size and the short sample period, this increase is not statistically significant. However, in economic terms, it would still be an important shift.

Conclusion

Although development is one of the main goals of the GSP, there is little evidence that the EU’s Generalized Scheme of Preferences supported the development of advanced industries in Belarus. To the contrary, after the GSP withdrawal the export complexity of Belarus increased relative to that of Russia. There is also some suggestive evidence that the GSP may have encouraged an export profile more focused on non-manufactured products, for which rules of origin are easier to satisfy in practice. More research is clearly needed, not least to analyze other cases of GSP withdrawal for external validity.

Our preliminary findings suggest that GSP in its current form might have created incentives for exporting relatively simple goods, thus creating a risk of “middle-income trap”. Policy implications are twofold: First, the goal of preference programmes like the GSP is development, i.e. more advanced economy with more complex production, and if the preferences in fact foster simple exports, it could create a barrier to development; Second, removal of preferences might have a large negative impact overall but the observation that it removes the previous incentive of producing simple non-manufacturing goods can be seen as positive and thus cushion the negative impact.

References

  • Belarusian Institute for Strategic Studies (BISS), 2007. “Belarus exclusion from the GSP: possible economic repercussions”, at: http://www.belinstitute.eu.
  • Hakobyan, Shushanik, 2015. “Accounting for underutilization of trade preference programs: The US generalized system of preferences.” Canadian Journal of Economics/Revue canadienne d’économique, 48.2, 408-436.
  • Hausmann, Ricardo; Hidalgo, Cesar A., Bustos, Sebastian; Coscia, Michele, Simoes, Alexander, & Yildirim, Muhammed A. (2014). The atlas of economic complexity: Mapping paths to prosperity. Mit Press.
  • Ornelas, Emanuell, 2016. “Special and differential treatment for developing countries.” Handbook of Commercial Policy 1, 369-432.ilable online, please hyperlink the title.

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