Location: Russia
The Belarusian Currency Market During War in Ukraine: Hidden Problems and New Trends
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:
- 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.
- 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.
- 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
- Belarusian State Committee of the Republic of Belarus (BSCRB). (2022). Socio- Economic Situation of the Republic of Belarus in January- September 2022. https://www.belstat.gov.by/ofitsialnaya-statistika/publications/izdania/public_bulletin/index_58794/
- The National Bank of the Republic of Belarus. (2022). Statistical Bulletin #9 (279) 2022.
- The National Bank of the Republic of Belarus. (2022). https:// www.nbrb.by
- Tinkoff. (2022). The Central Bank has extended the currency restrictions for six months. https://secrets.tinkoff.ru/novosti/czentrobank-prodlil-valyutnye-ogranicheniya-na-polgoda/
- CBR. (2022). Balance of payments, international investment position and external debt of the Russian Federation in the first half of 2022. http://www.cbr.ru/statistics/macro_itm/svs/p_balance/
- Congress. (2022). H.R. 6899- Russia and Belarus SDR Exchange Prohibition Act of 2022. Public Law No: 117-185 (10/04/2022). https://www.congress.gov/bill/117th-congress/house-bill/6899.
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.
Seminar with Alexandra Polivanova from Memorial, One of This Year’s Nobel Peace Prize Winners
The Stockholm Institute of Transition Economics (SITE) and the Stockholm School of Economics are proud to welcome Alexandra Polivanova from the Russian civil rights organization Memorial for a seminar discussion. Michael Sohlman, former Executive Director of the Nobel Foundation, will introduce her presentation.
About the Event
One of this year’s Nobel Peace Prize winners is the Russian civil society organization Memorial, founded in 1987. According to the prize motivation they have “for many years promoted the right to criticise power and protect the fundamental rights of citizens. They have made an outstanding effort to document war crimes, human rights abuses and the abuse of power. Together they demonstrate the significance of civil society for peace and democracy”. In 2016, the authorities declared Memorial to be a foreign agent, and in 2021 the Russian Supreme Court ruled that Memorial was to be liquidated. After Russia’s invasion of Ukraine in March 2022, the authorities declared Memorial to be illegal and took over their offices.
About the Speaker
Aleksandra Polivanova, a Member of the Board of International Memorial, will talk about the work of Memorial both from its historical perspective and in the current restrictive environment. Born in Moscow, she has studied Nordic and Russian literature and history as well as psychology in Russia, Sweden and the USA. She has also worked as a translator from Swedish, and as a project manager in the cultural field at the Swedish Embassy in Moscow. She has curated a number of educational programmes in Moscow for young people in connection with various festivals, she was the writer and director of the documentary theatre project “Grandchildren: The Second Act” based on interviews with grandchildren of perpetrators of the Stalin era. Since 2013, she has been in charge of Memorial’s research and education project “Moscow: A Topography of Terror”.
Registration
Please follow the link to join the seminar online: Register via this link here>>
Disclaimer: Opinions expressed during events and conferences are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Will Russian Income Fall if the EU Bans Imports of Russian Oil?
On Tuesday, November 22, 2022, Daniel Spiro, Associate Professor at Uppsala University, will be presenting his working paper focusing on the question: What is the effect on Russian oil profits if the EU bans the import of its oil? Join the SITE brown bag seminar to learn more.
Abstract
Following Russia’s attack on Ukraine, the EU is planning to stop its imports of Russian oil. This paper answers the question: What is the effect on Russian oil profits if EU bans the import of its oil? To answer it, we use a simple but parsimonious model of the oil and shipping markets, taking into account both supply and demand changes, and quantify it using empirical estimates and compiled data from these markets. We find that an import embargo by itself will not have any effect on the amount of oil sold by Russia, but their costs of transport will increase since the distance to the market increases substantially implying a profit loss of around 2.5 MEUR per day. A tanker embargo – limiting the tankers that can ship Russian oil – may then become a strategic complement for the EU. It limits Russia’s transport capacity at a time when their transport needs increase. This squeezes Russia’s profit margins further and may ultimately limit the amount of oil they can sell. To assess this quantitatively we compile non-western controlled shipping and find that is equivalent to around 10% of the tanker market. This is sufficient to ship all Russian oil so their profits will fall by only 2.7 MEUR/day. In a counterfactual analysis, we find that if the tanker embargo can be extended to cover a few more percent, then Russia’s profit loss is likely around 22 MEUR/day, equivalent to a large part of its GDP. If, on top, India joins the embargo, profit losses are significantly higher at 60 MEUR/day. Thus, the different sanctioning tools and countries multiply the effects of each other.
About the Speaker
Daniel Spiro is a Senior Lecturer (Associate Professor, Lektor) in economics at Uppsala University in Sweden. His research is focused on environmental and resource economics, behavioral economics and political economics.
Join the Seminar
The link to the seminar will be distributed by invitation only. If you are interested to attend the seminar – please contact site@hhs.se. Follow the instructions below:
- Type the subject box with “Brown bag seminar *INSERT SEMINAR TITLE*”
- Indicate your affiliation and field of interest
- Please also indicate if you want to attend in person or online only
For registered applicants, a Zoom link will be provided prior to the event via email with further instructions.
Disclaimer: Opinions expressed during events and conferences are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
The Bleak Economic Future of Russia
Is the Russian economy “surprisingly resilient” to sanctions and actions of the West? The short answer is no. On the contrary, the impact on Russian growth is already very clear while the economic downturn in the EU is small. The main effects from the sanctions are yet to be realized, and the coming sanctions will be even more consequential for the Russian economy. The biggest impacts are however those in the longer run, beyond the sanctions. Mr. Putin’s actions have led to a fundamental shift in the perception of Russia as a market for doing business. The West and especially EU countries are on a track of divesting their economic ties to Russia (in particular in, but not only, energy markets) and the country is simultaneously losing significant shares of its human capital. All these effects mean that the long-term economic outlook for Russia is not just a business cycle type recession but a lasting downward shift.
Introduction
The global economic outlook at the moment seems rather bleak. According to the International Monetary Fund’s (IMF) most recent World Economic Outlook, global growth is expected to slow from above 6 percent in 2021, to 3.2 percent this year, and 2.7 percent in 2023. For the US and the Euro area the corresponding numbers are slightly above a 5 percent growth in 2021, between 2 and 3 percent in 2022, while barely reaching 1 percent in 2023. At the same time inflation is up and central banks are trying to curb this by raising interest rates.
From an EU perspective it is an open question what proportion of the lower growth is caused by the economic consequences of the Russian invasion of Ukraine. Certainly, energy prices are affected as well as issues relating to natural resources and agricultural products (though the consequences of shortages in these goods are far larger for Middle Eastern, North African and Sub-Saharan countries). But it is not the case that all of the economic problems in the EU are due to the changed economic relations with Russia.
In assessing the economic impact of Russia’s war, and in particular the impact of sanctions, it is important to focus on both expectations as well as proportions. A widespread narrative portrays Russia’s relative economic resilience (compared to the expectations of some in March/ April 2022) as the Russian economy being surprisingly unaffected, while the EU is depicted as being badly hit, especially by high energy prices. In a European context, the Swedish daily newspaper Dagens Nyheter claims that “experts are surprised over Russia’s resilience” and the Economist, a British weekly newspaper, recently portrayed recession prospects for Europe as “Russia climbs out”. We argue that such point of view is misleading. To get a more balanced image of what is unfolding it is important to think both about the expected consequences of sanctions, including how long some of them take to have an effect, but also (and maybe most important when thinking about the long run), what economic consequences are now unfolding beyond the impact of sanctions.
Sanctions Against Russia
Let us start with what sanctions are in place, what types of impact these have had so far and what can be expected in the future. There are three types of sanctions currently in place. First, and most impactful in the short run, are limitations on financial transactions, especially those imposed on the Central Bank. In this category there are also the restrictions on other Russian banks disconnecting them from a key part of the global payment system, SWIFT, as well as measures targeting other assets: divestments from funds, investment withdrawals, asset freezes, and other impediments to financial flows. The main short-term aim of these actions was to reduce the Russian government’s alternatives to finance the army and their military operations. Second there are sanctions on trade in goods and services. At the moment these target particularly technology imports and energy and metals exports. These take a longer time to be felt and are potentially more costly to the sanctioning countries as well. They also contribute, in principle, to reduced resources for war. Besides affecting the government’s budget, both financial and trade sanctions disturb ordinary people’s lives as well and might create discontent and protests. A third group of sanctions are so-called sanctions of inconvenience such as limitations to air traffic, closure of air space, exclusion form sport and cultural events, restrictions of movement for both officials and tourists, and others, which aim at disconnecting the target country from the rest of the world. These are partly symbolic in nature, but can also impact popular opinion, including among the elites. However, a potential problem is that such sanctions can push opinion in either of two opposite directions: against the target regime in sympathy with the sanctioning parties; or against what is now perceived as an external enemy in a so-called rally-around-the-flag effect.
Along these dimensions the sanctions have so far had mixed effects in relation to the objectives listed above. We will return to this issue below, but in short, the sanctions on the Central Bank and the financial system, albeit powerful, fell short of causing anything like a collapse of the Russian financial system. Some of the trade restrictions, together with other global economic events, created an environment where lost trade volumes for Russia were compensated by price increases in resources and energy exports. When it comes to restrictions on imports of many high-tech components, these are certainly being felt in the Russian economy although still not fully. Public perceptions in Russia are hard to judge from the outside, especially given the problems of voiced opposition in the country, while public perceptions in sanctioning countries have mainly been favorable as people want to see that their governments are “doing something”.
What Do We Know About Sanctions in General?
A key question when judging whether sanctions “work” is to study what a reasonable benchmark can be. As discussed in a previous FREE Policy Brief (2012), sanctions don’t enjoy a reputation of being very effective. This is true both in the research literature as well as in the public opinion. There are reasons for this that have to do with both how “effectiveness” is intended and the limits that empirical enquiries necessarily face in trying to answer the question of effectiveness. This does not mean, however, that sanctions have no effect. Another FREE Policy Brief (2022) summarizes a selection of the most credible research in this area. In short, a majority of studies find that sanctions affect the population in target countries through shortages of various kind (food, clean water, medicine and healthcare), resulting in lower life expectancy and increased infant mortality. The types of effects are comparable to the consequences of a military conflict. In the cases where it has been possible to credibly quantify the damage to GDP, estimates are in the range of 2 to 4 percent of reduced annual growth over a fairly long period (10 years on average and up to 3 years after the lifting of sanctions). One has to keep in mind that lower growth rates compound over time, so that the total loss at the end of an average period is quite substantial. As a comparison, the latest estimate of the total loss in global GDP from the Covid-19 crisis stands at “just” -3.4 percent. Other studies find similarly significant negative effects on other economic outcomes such as employment rate, international trade, public expenditure, the value of the country’s currency, and inequality. There is of course variation in the effects depending on the type of sanctions and also on the structure of the target economy. Trade sanctions tend to have a negative effect both in the short and long run, while smart sanctions (i.e. sanctions targeting specific individuals or groups) may even have positive effects on the target country’s economy in the long run.
Sanctions and the Current State of the Russian Economy
When it comes to the Russian economy’s performance in these dire straits, the very bleak forecasts from spring 2022 have since been partly revised upwards. Some are surprised that the collective West has not been able to deliver a “knock-out blow” to the Russian economy. In light of what we know about sanctions in general this is perhaps not very surprising. Also, one can recall that even a totally isolated Soviet economy held up for quite some time. This however does not mean that sanctions are not working. There are several explanations for this. As already mentioned, some of the restrictions imply by their very nature some time delay; large countries normally have stocks and reserves of many goods – and on top of this Mr. Putin had been preparing for a while. Also, the undecisive and delayed management of energy trade from the EU reduced the effectiveness of other measures, in particular the impact of financial restrictions. Continued trade in the most valuable resources for the Russian government together with spikes in prices (partly due to the fact that the embargo was announced several months ahead of the intended implementation) flooded the Russian state coffers. This effect was also enlarged by the domestic tax cuts on gasoline prices in many European countries in response to a higher oil price (Gars, Spiro and Wachtmeister, 2022). This is soon coming to an end, but at the moment Russia enjoys the world’s second largest current account surplus.
The phenomenal adaptability of the global economy is also playing in Russia’s favor: banned from Western markets, Russia is finding new suppliers for at least some imports. However, although they are dampening and slowing the blow at the moment, it is difficult to envision how these countries can be substitutes for Western trade partners for many years to come.
The Russian Economy Beyond Sanctions
Given all of this, the impact on the Russian economy is not nearly as small as some commentators claim. Starting with GDP, an earlier FREE Policy Brief (2016) shows how surprisingly well Russia’s GDP growth can be explained by changes in international oil prices. This is true for the most recent period as well, up until the turn of the year 2021-2022 and the start of hostilities, as shown in Figure 1. Besides the clear seasonal pattern, Russian GDP (in Rubles) closely follows the BRENT oil price. This simple model, which performs very well in explaining the GDP series historically, generates a predicted development as shown by the red dotted line. Comparing this with the figures provided by the Russian Federal State Statistics Service, Rosstat, for the first two quarters of 2022 (which might in themselves be exaggeratedly positive) indicates a loss by at least 8 percent in the first and further 9 percent in the second quarter. In other words, GDP predicted by this admittedly simple model would have been 19 percent higher than what reported by Rosstat in the first half of 2022. As a comparison, Saudi Arabia – another highly oil dependent country – saw its fastest growth in a decade during the second quarter, up by almost 12 percent.
Figure 1. Russian GDP against predictions

Source: Authors’ calculations on GDP in rubles based on figures from Rosstat and the BRENT oil price series. Note that GDP is denominated in Rubles to avoid confusion due to the USD/Rubles exchange rates being volatile (given the lack of trade post invasion) and thus hard to interpret.
Other indicators point in the same direction. According to a report published by researchers at Yale University in July this year, Russian imports, on which all sectors and industries in the economy are dependent, fell by no less than ~50 percent; consumer spending and retail sales both plunged by at least ~20 percent; sales of foreign cars – an important indicator of business cycle – plummeted by 95 percent. Further, domestic production levels show no trace of the effort towards import substitution, a key ingredient in Mr. Putin’s proposed “solution” to the sanctions problem.
Longer Term Trends
There are many reasons to be concerned with the short run impact from sanctions on the Russian economy. Internally in Russia it matters for the public opinion, especially in parts that do not have access to reports about what goes on in the war. Economic growth has always been important for Putin’s popularity during peace time (Becker, 2019a). In Europe it matters mainly because a key objective is to make financing the war as difficult as possible, but also to ensure public support for Ukraine. A perception among Europeans that the Russian economy is doing fine despite sanctions is likely to decrease the support for these measures. However, the more important economic consequences for Russia are the long-run effects. Many large multinational firms have left and started to divest from the country. There has always been a risk premium attached to doing business in Russia, which showed up particularly in terms of reduced investment after the annexation of Crimea in 2014 (Becker, 2019b). But for a long time hopes of a gradual shift and a large market potential kept companies involved in Russia (in some time periods more, in others less). This has however ended for the foreseeable future. Many of the large companies that have left the Russian market are unlikely to return even in the medium term, regardless of what happens to sanctions. Similarly, investments into Russia have been seen as a crucial determinant of its growth and wellbeing (Becker and Olofsgård, 2017), and now this momentum is completely lost.
Energy relations have been Russia’s main leverage against the EU although warnings about this dependency have been raised for a long time. In this relationship, there has also been a hope that Russia would feel a mutual dependence and that over time it would shift its less desirable political course. With the events over the past year, this balancing act has decidedly come to an end, if not permanent, at least for many years to come. The EU will do its utmost not to rely on Russian energy in the future, and regardless of what path it chooses – LNG, more nuclear power, more electricity storage, etc. – the path forward will be to move away from Russia. Of course, there are other markets – approximately 40 percent of global GDP lies outside of the sanctioning countries – so clearly there are alternatives both for selling resources and establishing new trade relationships. However, this will in many cases take a lot of time and require very large infrastructure investments. And perhaps more important, for the most (to Russia) valuable imports in the high-tech sector it will take a very long time before other countries can replace the firms that have now pulled out.
Yet another factor that will have long-term consequences is that many of these aspects are understood by large parts of the Russian population, and those with good prospects in the West have already left or are trying to do so. It has been a long-term goal for those wanting to reform the Russian economy, at least in the past 20 years, to attract and put to fruition the high potential that have been available in terms of human capital and scientific knowledge. However, these attempts have not succeeded and the recent developments have put a permanent end to those dreams.
Conclusion
In the latest IMF forecast, countries in the Euro area will grow by 3.1 percent this year and only 0.5 percent in 2023. In January the corresponding numbers stood at 3.9 percent and 2.5 percent. This drop, caused in large part by the altered relations with Russia, is certainly non negligible, and especially painful coming on the heels of the Covid-19 crisis. However, it is an order of magnitude smaller than the “missed growth” Russia is experiencing. When judging the impact from sanctions on the Russian economy overall, the correct (and historically consistent) counterfactual displays a sizable GDP growth driven by very high energy and commodity prices. Relative to such counterfactual, the sanctions effect is already very noticeable. In the coming months, economic activity will slow down and many European household will feel the consequences. In this climate it will be important that, when assessing the situation with Russia perhaps performing better than expected, the following is kept in mind. Firstly, Russia is still doing much worse compared to the EU as well as to other oil-producing countries. Secondly, and even more important, what matters are the longer run prospects. And these are certainly even worse for the Russian economy.
References
- Becker, T. (2019a). Economic growth and Putin’s Approval Ratings – The Return of the Fridge https://freepolicybriefs.org/2019/02/25/economic-growth-and-putins-approval-ratings-the-return-of-the-fridge/ FREE Policy Brief
- Becker, T. (2019b). Russia’s Real Cost of Crimean Uncertainty https://freepolicybriefs.org/2019/06/10/russias-real-cost-of-crimean-uncertainty/FREE Policy Brief
- Becker, T. and Olofsgård, A. (2017). From abnormal to normal – Two tales of growth from 25 years of transition, SITE Working paper 43, September.
- Becker, T. (2016). Russia and Oil – Out of Control https://freepolicybriefs.org/2016/10/31/russia-oil-control FREE Policy Brief
- Gars, J., Spiro, D. and Wachtmeister, H. (2022). The effect of European fuel-tax cuts on the oil income of Russia. Nat Energy 7, pp. 989-997 https://www.nature.com/articles/s41560-022-01122-6
- Perotta Berlin, M. (2022). The Effect of Sanctions https://freepolicybriefs.org/2022/05/10/effects-economic-sanctions/ FREE Policy Brief
- Perotta Berlin, M. (2012). Do Economic Sanctions Work? https://freepolicybriefs.org/2012/03/19/do-economic-sanctions-work/ FREE Policy Brief
- Sonnenfeld, J., Tian, S., Sokolowski, F., Wyrebkowski, M. and Kasprowicz, M. (2022). Business Retreats and Sanctions Are Crippling the Russian Economy. http://dx.doi.org/10.2139/ssrn.4167193
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.
Sanctions Enforcement and Money Laundering
With sanctions becoming an increasingly important tool in ostracising autocratic regimes from western markets, the need for effective enforcement of Anti-Money Laundering (AML) policies is increasing. The global AML regime will be the backbone in detecting evasion of sanctions. This regime has, however, been widely criticised as ineffective. In this brief, we discuss issues with the current AML regime and propose a reward scheme for whistleblowers to enable asset seizures. A powerful feature of our proposal is that it does not rely on the effectiveness of the AML regime.
Introduction
Before Russia’s invasion of Ukraine, we wrote a FREE Policy brief expressing concerns over the ability of the current Anti Money Laundering (AML) regime to keep money launderers out of the international financial system. In the brief, we concluded that “The ease with which criminals have evaded present detection methods should cause concern about the effectiveness of sanctions”. The issue has now received renewed attention as the current sanctions against Russia will only be effective if it is difficult or costly to circumvent them. Sanctions evasions have a lot of similarities with money laundering, and the methods for detecting both is very similar, such that the proposal we discuss in this brief is applicable to both.
While an initial shock due to unexpected sanctions may generate disruptions, prohibited goods can later be imported/exported through third-party intermediaries in non-sanctioned countries to circumvent the sanctions. False labelling of origin, misinvocing, etc., are likely to occur and may be very difficult to detect. Analogously, sanctioned individuals’ assets may shift hands, and be laundered through shell companies without known beneficial owners.
In this brief, we consider a way to enhance enforcement, as outlined in a recent paper (Nyreröd, Andreadakis, and Spagnolo, 2022). The approach builds upon the US Kleptocracy Asset Recovery Rewards Program which offers up to $5 million “for information leading to seizure, restraint, or forfeiture of assets linked to foreign government corruption” (US Treasury, 2022).
The AML Regime
To justify the enforcement mechanism we later propose, some background on the AML regime is necessary. The global standard-setter for AML is the Financial Action Taskforce (FATF), which has since 1989 issued recommendations to countries on how to combat money laundering and terrorist financing. While initially focusing on drug money, the regime expanded in the last decades and has now received increased attention as it will be an important tool in ensuring sanctions against Russian oligarchs are effective.
The regime imposes numerous obligations on financial and other entities as they must assess risks and conduct due diligence along various dimensions, collect documents, and send reports to the national Financial Intelligence Unit. This regime has been widely criticized. Widespread AML non-compliance within banks, lack of rigorous supervision and enforcement by national supervisors and high costs relative to verifiable benefits are some of the issues that have been identified (Spagnolo and Nyreröd 2021; Nyreröd, Andreadakis and Spagnolo, 2022). The World Bank estimates that between 2 and 5 percent of global GDP is laundered annually, and that only around 0.2 percent of the proceeds from crime, laundered via the financial system, are seized and frozen (UNODC, 2011). Researchers have also been critical – for example Pol (2020), cites 22 papers that have “identified gaps between the intentions and results of the modern anti-money laundering effort, including its core capacity to detect and prevent serious profit-motivated crime and terrorism” (p.103).
Recent responses by the European Commission and others have focused on ensuring compliance within covered entities. Yet, increasing compliance with current AML rules may be costly and non-sufficient to stem the flows of illicit money in the international system. Even if widespread compliance within covered entities is obtained, and the AML procedures are effective, this may not be enough – even minimal non-compliance rates may result in major damages. We have seen how Danske Bank Estonia, a relatively small branch, managed to transfer around $230 billions of suspicious funds within the span of a couple of years (Bruun and Hjejle, 2018).
Some have suggested providing whistleblower rewards to those who report significant violations of AML rules by covered institutions (Spagnolo and Nyreröd, 2021; Scarcella, 2021). Yet, such rewards are only desirable if the AML regime is effective in achieving its policy objectives, which is not a given (we elaborate on this in Nyreröd, Andreadakis and Spagnolo, 2022). Enhanced compliance with the AML regime does not necessarily entail increased detection and deterrence of e.g., money laundering. Numerous laundering methods exist that circumvent the reporting rules required under AML. A better option may be to incentivize facilitators of money laundering to provide information leading directly to asset seizures, as they have the best information that can lead to such forfeitures.
Incentivizing Facilitators
Money laundering is a derivative crime and requires what is called a “predicate offense” (such as human trafficking, drug sales, or corruption) that generates illegal money whose source needs to be obscured. The EU Directive (2018/1673) stipulates 22 categories of criminal activities that constitute predicate offenses.
There is a large infrastructure facilitating money laundering including financial advisers, real estate agents, tax advisors, and lawyers – crucial to criminals seeking to launder money. Bill Browder, famous for his work on advocating the Magnitsky Act, describes how he was aided by Alexander Perepilichnyy, a financial adviser for individuals involved in a large tax theft in Russia. Perepilichnyy helped launder the money for those involved in the tax theft, but eventually turned whistleblower when he provided bank statements to Browder that led to the freezing of $11 million related to this fraud (Browder 2022, p. 39). His information provided a “road-map” to even be able to start investigating where the illegally stolen assets had ended up. Perepilichnyy later died while jogging near London in 2012, which some believe was a murder in retaliation for blowing the whistle. A reward scheme would aim at people like Perepilichnyy, persons who are unrelated to the predicate offense, yet have information on the source and location of illicit funds.
Reward Programs in AML
The US has used whistleblower reward schemes in several regulatory areas including tax, procurement fraud, and securities fraud. These programs offer 10-30 percent of the recoveries or fines to whistleblowers that bring information crucial to issue the fines or recover public funds. Rewards to whistleblowers are therefore paid by the wrongdoing party, not the taxpayer.
These programs have received increased attention as several studies have found that they are effective at uncovering and deterring wrongdoing (Dyck, 2010; Wiedman and Zhu, 2018; Raleigh, 2020; Leder-Luis, 2020; Dey et al., 2021; Berger and Lee, 2022, see Nyreröd and Spagnolo, 2021 for a review). Agencies managing these programs have widely praised them, and studies show they are highly cost effective. More countries are also starting to experiment with offering rewards for information.
A salient feature of the US programs is that some degree of culpability in the wrongdoing does not disqualify an individual from an award. In 2012, Bradley Birkenfeld received $104 million under the Internal Revenue Service’s reward program despite serving a jail sentence for his involvement in facilitating tax evasion. In fact, when one of the most effective and famous whistleblower laws was enacted, the US Senator who tabled the bill argued that the bill aimed at “setting a rogue to catch a rogue” which “is the safest and most expeditious way I have ever discovered of bringing rogues to justice” (Howard, 1863).
Motivated by these experiences, we propose that AML should incorporate a whistleblower reward scheme, targeting those facilitating money laundry, with three central pillars:
Witness protection: aim at shielding whistleblowers and their families from negative consequences, if there are concerns that they might become victims of retaliation, harassment, or mistreatment of any kind. If the whistleblower is based in a hostile country, guaranteed asylum should be granted.
Leniency: offer immunity for any reported offense related to money laundering, but not for any other crime. Without immunity, a whistleblower will have no incentive to turn to authorities as they would immediately incriminate themselves and risk jailtime for money laundering.
Large, scaling, and mandatory rewards: offer large, mandatory rewards that scale with the level of recoveries. As noted above, successful US programs pay 10-30 percent of the recoveries to whistleblowers. In the money laundering case, this percentage range may be lowered. Also, similarly to whistleblowers’ rewards in other cases, AML rewards would come from confiscated funds.
Numerous other design dimensions are important, but due to space limitations we refer the reader to other lengthier pieces that go into further detail (Nyreröd, Andreadakis and Spagnolo, 2022; Spagnolo and Nyreröd, 2021; Nyreröd and Spagnolo, 2021; Engstrom 2018).
Conclusion
The Russian aggression against Ukraine and the subsequent sanctions have put increased emphasis on the ability and effectiveness of the current AML regime to detect money laundering. Justified concerns about this regime have been raised, and its performance record is still under question. Programs offering whistleblowers witness protection, leniency, and large rewards could be an effective complement to this regime.
References
- Berger, P. and Lee, H. (2022), “Did the Dodd-Frank Whistleblower Provision Deter Accounting Fraud?”, Journal of Accounting Research, early view, available at: https://doi.org/10.1111/1475-679X.12421
- Browder, B. (2022b). Freezing Order, Simon & Schuster, New York, NY.
- Bruun and Hjejle. (2018). “Report on the Non-Resident Portfolio at Danske Bank’s Estonian Branch”. Danske Bank.
- Dey, A., Heese, J. and G. Pérez-Cavazos. (2021). “Cash-for-Information Whistleblower Programs: Effects on Whistleblowing and Consequences for Whistleblowers”, Journal of Accounting Research, Vol. 59, No.5, pp.1689-1740.
- Dyck, A., Morse, A. and Zingales, L. (2010). “Who Blows the Whistle on Corporate Fraud?”, The Journal of Finance, Vol. 65, No.6, pp.2213-2253.
- Engstrom, D. (2018). “Bounty Regimes.” In Arlen, J. (ed.) Research Handbook on Corporate Crime and Financial Misdealing, Edward Elgar.
- Howard, J.M. (1863). Congressional Globe, Senate, 37th Congress, 3rd Session, pp. 955-956.
- Leder-Luis, J. (2020). “Whistleblowers, Private Enforcement, and Medicare Fraud”, Working Paper, Massachusetts Institute of Technology, available at: https://sites.bu.edu/jetson/files/2020/07/False-Claims-Act-Paper.pdf.
- Nyreröd, T. and Spagnolo, G. (2021). “Myths and numbers on whistleblower rewards”, Regulation and Governance, Vol. 15, No.1, pp.82-97.
- Nyreröd, T., Andreadakis, S. and Spagnolo, G. (2022). “Money laundering and sanctions enforcement: large rewards, leniency, and witness protection for whistleblowers”, The Journal of Money Laundering Control, early view available at: https://www.emerald.com/insight/content/doi/10.1108/JMLC-05-2022-0068/full/html
- Pol, R. (2020). “Responses to money laundering scandal: evidence-informed or perception-driven?”, Journal of Money Laundering Control, Vol.23, No.1, pp.103-121.
- Raleigh, J. (2020). “The Deterrent Effect of Whistleblowing on Insider Trading”, University of Minnesota Working Paper, available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3672026.
- Scarcella, G. (2021). “Qui Tam and the Bank Secrecy Act: A Public-Private Enforcement Model to Improve Anti-Money Laundering Efforts”, Fordham Law Review, Vol. 90, No.3, pp.1359- 1395.
- Spagnolo, G. and Nyreröd, T. (2021). “Financial Incentives to whistleblowers: a short survey”, Sokol, D. and van Rooij, B. (Ed.), Cambridge Handbook of Compliance, Cambridge University Press, Cambridge UK, pp.341-351.
- Spagnolo, G. and Nyreröd, T. (2021a). “Money Laundering and Whistleblowers”, report written for Centre for Business and Policy Studies (SNS), available at: https://snsse.cdn.triggerfish.cloud/uploads/2021/11/money-laundering-and-whistleblowers.pdf.
- UNODC. (2011). “Estimating Illicit Financial Flows Resulting from Drug Trafficking and Other Transnational Organized Crimes”, Research Report, United Nations Office on Drugs and Crime, available at: https://www.unodc.org/documents/data-and-analysis/Studies/Illicit-financial-flows_31Aug11.pdf.
- US Treasury. (2022). “U.S. Departments of Treasury and Justice Launch Multilateral Russian Oligarch Task Force”, March 16, available at: https://home.treasury.gov/news/press-releases/jy0659.
- Wiedman, C. and Zhu, C. (2018). “Do the SEC Whistleblower Provisions of Dodd-Frank Deter Aggressive Financial Reporting?”, 2018 Canadian Academic Accounting Association Annual Conference, available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3105521.
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 Impact of Industrial Pollution Exposure on Hospital Admissions: Evidence from a Cement Plant in Russia
Air pollution is Europe’s single largest environmental health risk. Several epidemiological and economic studies provide evidence of an association between ambient air pollution and human health, especially for children and elderly adults. Join the SITE Brown Bag seminar as Mariia Murasheva, a Researcher at the Nova School of Business and Economics (Nova SBE), discusses the paper “The Impact of Industrial Pollution Exposure on Hospital Admissions: Evidence from a Cement Plant in Russia”.
Abstract
This paper studies the effect of individual-level daily silicon dust (SiO2) exposure from cement production “Malcovskii portland cement” in the city of Fokino, Bryanskii region, central Russia on the probability of hospital admissions for respiratory-related reasons. We use an aerodynamic dispersion model to calculate the level of pollutant exposure at the individual-patient level. We find evidence that an extra 1 mg/m3 inhaled concentration of silicon dust increases the probability of hospital admissions by 0.8% for elderly adults and 3% for elderly males.
Moreover, by dividing the city into four different regions according to the average exposure and including a measure of persistency, our research design allows us to identify a non-linear (concave) response of the individual probability of hospital admissions to the average daily inhaled concentrations in the city area where exposure is higher. A decrease in silicon dust concentration of the Russian daily standard level (from 320 to 60 mg/m3) decreases the number of hospital admissions by 9.6% among children who inhale high levels of silicon dust, which leads to potential savings around 0.2% of the regional annual health public budget. Therefore, our findings may contribute to better informing policymakers when designing sustainable environmental policies to reduce ambient local air pollution exposure (industrial air pollution) in Russia.
Registration
The link to the seminar will be distributed by invitation only. If you are interested in attending the seminar – please contact site@hhs.se. Follow the instructions below:
- Type the subject box with “Brown bag seminar *INSERT SEMINAR TITLE*”
- Indicate your affiliation and field of interest.
For registered applicants, a Zoom link will be provided before the event via email with further instructions.
Disclaimer: Opinions expressed during events and conferences are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.
Hedging EU’s “Winter Risk” by Curbing Gas Demand: Solidarity, Nudge, and Market Solutions
The concern of Russian gas supply disruption and its implications has never been as serious. Experts agree that supply-side measures would not be enough to cover the shortage. Demand cuts are needed. The EC has just proposed a solidarity-based plan of 15% gas demand reduction across the EU Member states. However, getting all EU countries to commit to this plan has been challenging due to asymmetries in their exposure to the Russian gas crisis. As a result, the EU approved a compromise plan with numerous exemptions. This brief argues that market-based solutions may improve participation incentives helping the EU to coordinate decreasing gas demand. Nudging energy consumers to lower their demand may be an efficient complementary solution. All member states should adopt this latter strategy now, as it takes time to trigger behavior changes in energy consumption. Acting now should strengthen resilience in the coming winter.
Background
Since the beginning of the conflict between Ukraine and Russia, both politicians and analysts have expressed concerns about cuts in Russian gas supply and their implications for the European economy. These concerns have only deepened as the crisis has unfolded. First, Russia stopped gas deliveries to five EU member states in April 2022 following their refusal to pay for gas in rubles. Then, Gazprom cut the capacity of the NordStream pipeline, initially by 40% and then by another 20% in June 2022, claiming technical problems originating from sanctions (i.e., a sanction-driven late return of a gas turbine repaired in Canada).
Gazprom’s July 18th announcement of its inability to deliver contracted gas amounts due to “force majeure” further added to the concern. Meanwhile the EU has dismissed the alleged technical failure stressing political reasons. According to EC President Ursula von der Leyen, the delivery stop reflects a “use of energy as a weapon”.
The panic somewhat settled on July 21, 2022, when Russian gas shipments via Nord Stream resumed at 40% of its original capacity, i.e., the mid-June level. However, Gazprom just announced another cut to 20% of the original capacity from July 27th. Overall, Russian gas exports to the EU are unprecedently low, see Figure 1.
Figure 1. Russian gas exports 2021 vs. 2022

Source: McWilliams, B., G. Sgaravatti, G. Zachmann (2021) ‘European natural gas imports’, Bruegel Dataset, based on Entsog
Whether Russian gas supplies are likely to be stopped completely in a very close future is unclear. In similar vein, the IEA Executive Director, Dr Fatih Birol, warns that “…it would be unwise to exclude the possibility that Russia could decide to forgo the revenue it gets from exporting gas to Europe in order to gain political leverage”. Regardless of this risk, large-scale adjustments are necessary even under the more optimistic scenario with Russian gas supplies kept at the current level.
The most direct way to tackle the shortage of Russian gas is from the supply side. It can be done via three main channels: diversification of gas suppliers, replacement by alternative fuels, or use of storage. Multiple sources have studied these options extensively (see, e.g., SITE (2022) for an overview of earlier assessments, as well as Di Bella et al. (2022) for more recent estimates and a literature overview). Despite different shortage estimates across reports, experts agree that supply adjustment will not be enough to compensate for ‘the missing Russian gas. This suggests that curbing demand will be a substantial part of gas crisis management.
Most of the demand-linked measures decided by the EU member states have been to counteract the sky-rocking gas prices and subsidize gas consumption by setting a price cap or providing an energy check (see von der Fehr et al. 2022 for an overview). While such measures may protect consumers against increased energy bills in the short run, they foster energy consumption rather than curb it. However, on July 20th, the European Commission issued a plan for the EU nations to cut their gas consumption by 15% between August 2022 and March 2023. This move is part of a wider EU strategy to respond to the gas crisis by pushing for a solidarity mechanism between the member states, including pooling (i.e., sharing) of economic losses. While the targets in this plan would be voluntary, the restrictions could become binding in an emergency. The main demand restrictions would apply to the industrial consumers, but countries are also expected to facilitate households’ demand adjustments. This plan faced resistance from a range of EU Member states, claiming unfairness of 15% cut for their countries, or objecting binding demand cuts for their countries. The resulting compromise agreement, accepted by the EU states on July 26th, incorporated numerous exemptions for both countries and industries.
This brief focuses on the current options in the EU to curb energy demand. We discuss the feasibility of a solidarity mechanism in this context and offer economic mechanisms that may improve its functionality. We also stress the important policy features in incentivizing consumer response.
Solidarity Rule and Market Mechanism
Solidarity and coordination between Member states constitute a crucial part of EU’s response to the current gas crisis. Implementing these rules would limit the direct (gas shortage) and indirect (price-driven) shocks through, e.g., mutual backing-up and buyer power (see, e.g., Le Coq and Paltseva, 2012, 2022 or IEA, 2022).
The solidarity approach was discussed long before the current gas crisis, at least since 2006 (EC, 2006). However, its implementation has proven challenging because of the energy-related asymmetries between Member states in terms of import dependency, diversification of suppliers, energy portfolio, etc. These asymmetries undermine a “one size fits all” policy approach and make some countries consistently benefit more from solidarity mechanisms than others. The solidarity mechanism may also create moral hazard problems (Le Coq and Paltseva, 2008). As a result, the EU could never fully adopt a common energy policy approach.
The recent EU call to cut energy demand by 15% is subject to the same shortcomings. The EU countries are unequally affected by the current gas crisis due to differences in their exposure to Russian gas, access to storage or alternative fuels, gas transportation bottlenecks, etc. These differences undermine countries’ willingness to coordinate as witnessed by Portugal’s and Spain’s explicit opposition to the call on the ground that their energy reduction would be unfair given their energy portfolio with almost no Russian gas. Poland, whose gas storage is full, and Hungary, whose government imposed an export ban on gas earlier in July, have also objected the deal.
There are several ways to improve coordination: one could provide part-taking incentives via a monetary transfer scheme, incorporate demand-side energy cuts into a larger political agenda so that the (asymmetric) losses in one area are compensated by gains in another one (Le Coq and Paltseva, 2008). However, both solutions are likely unfeasible in the current, relatively short-run context, as they require the collection of large volumes of information to determine the correct transfer size. Additionally, the incentives for EU countries to correctly report such details might be low. One can also design a mutual support scheme with country-specific participation requirements/exemptions. This solution, while also informationally demanding, may be easier to achieve. It is likely to improve participation incentives, but the effects of solidarity may be weaker than under a plan without exemptions.
The EU decided to follow this latter route: On July 26th, the EU managed to reach an agreement on a softer plan with multiple exemptions from the 15% cut, accounting for countries’ energy market asymmetries (as well as much more demanding procedure to make the demand cut binding). While this agreement is definitely a step forward, it is currently uncertain whether it would be sufficient to meet the gas demand challenges in the coming winter.
A number of market solutions can potentially improve on the situation. For example, one could establish a market for energy demand reduction quotas in line with the cap-and-trade program designed for CO2 emissions. Alternatively, an emergency gas auction (like the one discussed in Germany for industrial firms) could allow gas savings to be offered in an auction. The winning, cheapest bid would get a market-price level compensation. Of course, such market mechanisms are likely to imply (at least some) consumers will face surging gas prices, but this appears inevitable in view of the difficulties to implement rationing mechanisms to cope with the reduced gas supply.
Market solutions could also be implemented at member state level. However, such an implementation would likely limit solidarity between member states and increase the costs associated with reduced gas consumption. Indeed, purely national solutions (almost by definition) lack solidarity mechanisms between member states and in addition inhibit that the gas reductions take place where they are the least costly.
Nudging and Information Campaign
Given the gas crisis and implementation frictions, the EU should benefit from complementing the regulatory and market solutions (mainly targeting the industry) by incentivizing the demand-cutting behavior of private consumers. There are many ways to trigger behavioral change, from changing legislation to nudging consumers to persuade them to lower their gas (and energy) consumption. Some nudging policies have been successful in the past. One example is Japan’s “setsuden” (electricity-saving) campaign, run after the 2011 Fukushima nuclear plant disaster. It started as an unofficial movement and continued into regulatory restrictions for large firms and voluntary but highly encouraged household targets. The information campaign stressed how close the country was to blackout and successfully prevented blackouts.
In the current crisis the EU states’ policies towards consumers were concentrating on shielding them from high energy prices (see von der Fehr et al, 2022 for an overview). Nudging and energy-saving information campaigns in the EU are yet to gain momentum. Some of the larger EU members are leading the movement. For example, in France, the president called for an immediate “energy sobriety” on the last National Day. Businesses and public buildings were asked to switch off the light at night and anticipate a lower winter heating consumption. While fines for infringement are under discussion, the French government is hoping for a nudging effect. Similarly, Germany has started an intense information campaign to convince individuals to reduce their electricity consumption by taking fewer showers and turning down the air conditioning. However, much broader, intensive energy-saving campaigning is urgently needed to lower energy demand effectively.
Several results from the experimental economic literature motivate such campaigns. The first point concerns the usefulness of nudging in the energy context. The evidence on the effect of incentivizing consumers’ energy saving behavior via monetary or non-monetary interventions is mixed (see Andor and Fels, 2018 and Lingyun Mi et al., 2022 for an overview). However, a recent meta-study combining the results from 112 field trials between 1976 and 2021 (Lingyun Mi et al., 2022) supports the effectiveness of non-monetary incentives (such as nudging by providing information or offering social comparisons) in creating energy-saving behavior. Moreover, it finds that non-monetary incentives are also more effective and longer lasting in promoting energy conservation than the monetary ones. One possible reason for this finding is that non-monetary incentives may affect individual’s values and their intrinsic motivation to save energy. This result implies that information campaigns, target-setting, and providing social comparisons can be an effective and relatively cost-efficient way to lower energy demand.
The second question concerns the timing of such intervention. Again, while there is no clear-cut evidence concerning the long-term impact of nudging, some literature documents effects lasting months and even years after the intervention stopped (Andor and Fels, 2018 overview a few such studies). Further, the same meta-study by Lingyun Mi et al., 2022 found that interventions lasting 1–6 months were the most effective. A combination of antecedent (before actual behavior, such as goal setting) and consequence (when the incentives to act are affected by the results of the action) nudge-based interventions produced the best energy-saving effect. These findings suggest that campaigns should start now to be ready for the winter 2022-23 season.
Last but not least, there is evidence that energy conservation goal-setting is effective only when the goals are realistic. For example, in Harding and Hsiaw (2014), a moderate energy saving goal set by a household led to a sizable consumption reduction, and the effect lasted for one and a half years. With more ambitious goals the initial strong response quickly vanished. Finally, there is no consumption adjustment pattern with unrealistically high goals. One possible, even if somewhat stretched, interpretation of these results could be that a drastic change in consumption may be more challenging to incentivize through nudging than a series of more minor adjustments. This consideration provides another rationale for the early start of nudging policies, suggesting a meager initial consumption reduction, and gradually increasing the threshold.
Conclusion
Cutbacks in gas consumption are essential to surviving the EU energy crisis, especially in case of a complete Russian gas halt. The EC has recently proposed a plan for the EU nations to decrease their gas consumption by 15% between August 2022 and March 2023. This plan is included in a wider solidarity approach to EU energy crisis management. However, approval of this plan by the EU nations faced difficulties due to asymmetries in exposure to Russian gas across EU member states and the resulting unwillingness to share the costs of the crisis. The resulting compromise plan features multiple exemptions from the 15% rule. Market solutions, such as trade in demand reduction quotas, may help to improve EU coordination on demand reduction. Another essential component of crisis management is the EU-wide nudging of private consumers encouraging energy saving behavior. Based on historical examples and the experimental literature such nudge-based policy may be effective and cost-efficient if started now.
References
- Andor, M. and K. Fels, 2018. “Behavioral Economics and Energy Conservation- A Systematic Review of Non-price Interventions and Their Causal Effects”, Ecological Economics, 148-C
- Di Bella, G., M. Flanagan, K. Foda, S. Maslova, A. Pienkowski, M. Stuermer and F. G. Toscani, 2022, “Natural Gas in Europe: The Potential Impact of Disruptions to Supply”, IMF Working Paper No. 2022/145
- Le Coq, C. and E. Paltseva, 2008. “Common Energy Policy in the EU: The Moral Hazard of the Security of External Supply”, SIEPS Report 2008:1
- Le Coq, C. and E. Paltseva, 2012. “Assessing Gas Transit Risks: Russia vs. the EU”, Energy Policy, 4: 642-650.
- Le Coq, C. and E. Paltseva, 2022. “What does the Gas Crisis Reveal About European Energy Security?” FREE Policy Brief
- European Commission, 2006. Green Paper “A European strategy for sustainable, competitive and secure energy“, COM (2006) 105.
- von der Fehr, N.-H., C. Banet, C. Le Coq, M. Pollitt and B. Willems, 2022. ”Retail Energy Markets under Stress – Lessons Learnt for the Future of Market Design”, CERRE report
- Harding, M. and A. Hsiaw, 2014. “Goal Setting and Energy Conservation”. Journal of Economic Behavior & Organization, 107
- IEA, 2022. “Coordinated actions across Europe are essential to prevent a major gas crunch: Here are 5 immediate measures”
- Mi, Lingyun, Gan, Xiaoli, Sun, Yuhuan, Lv, Tao, Qiao, Lijie and Xu, Ting, 2021. “Effects of monetary and nonmonetary interventions on energy conservation: A meta-analysis of experimental studies”. Renewable and Sustainable Energy Reviews. 149
- McWilliams, B., G. Sgaravatti, G. Zachmann, 2021. “European natural gas imports”, Bruegel Datasets, first published 29 Oct
- SITE, 2022. “The EU Import Bill and Russian Energy Sanctions”, FREE Policy Brief
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.
Understanding the Economic and Social Context of Gender-based and Domestic Violence in Central and Eastern Europe – Preliminary Survey Evidence
This brief presents preliminary findings from a cross-country survey on perceptions and prevalence of domestic and gender-based violence conducted in September 2021 in eight countries: Armenia, Belarus, Georgia, Latvia, Poland, Russia, Sweden and Ukraine. We discuss the design and content of the study and present initial information on selected topics that were covered in the survey. The collected data has been used in three studies presented at the FROGEE Conference on “Economic and Social Context of Domestic Violence” and offers a unique resource to study gender-based violence in the region.
While the COVID-19 pandemic has amplified the academic and policy interest in the causes and consequences of domestic violence, the Russian invasion of Ukraine has tragically reminded us about the gender dimension of war. There is no doubt that a gender lens is a necessary perspective to understand and appreciate the full consequences of these two ongoing crises.
The tragic reason behind the increased attention given to domestic violence during the COVID-19 lockdowns is the substantial evidence that gender-based violence has intensified to such an extent that the United Nations raised the alarm about a “shadow pandemic” of violence against women and girls (UN Women on-line link). Already before the pandemic, one in three women worldwide had experienced physical or sexual violence, usually at the hands of an intimate partner, and this number has only been increasing. The tragic reports from the military invasion of Ukraine concerning violence against women and children, as well as information on the heightened risks faced by war refugees from Ukraine, most of whom are women, should only intensify our efforts to better understand the background behind these processes and study the potential policy solutions to limit them to a minimum in the current and future crises.
The most direct consequences of gender-based and domestic violence – to the physical and mental health of the victims – are clearly of the highest concern and are the leading arguments in favour of interventions aimed at limiting the scale of violence. One should remember though, that the consequences and the related social costs of gender-based and domestic violence are far broader, and need not be caused by direct acts of physical violence. Gender-based and domestic violence can take the form of psychological pressure, limits on individual freedoms, or access to financial resources within households. As research in recent decades demonstrates, such forms of abuse also have significant consequences for the psychological well-being, social status, and professional development of its victims. All these outcomes are associated with not only high individual costs, but also with substantial social and economic costs to our societies.
This policy brief presents an outline of a survey conducted in eight countries aimed at better understanding the socio-economic context of gender-based violence. The survey, developed by the FREE Network of independent research institutes, has a regional focus on Central and Eastern Europe, with Sweden being an interesting benchmark country. The data was collected in September 2021 in Armenia, Belarus, Georgia, Latvia, Poland, Russia, Sweden and Ukraine. The socio-economic situation of all these countries irrevocably changed with the Russian invasion of Ukraine on 24 February 2022, the ongoing war, and its dramatic consequences. The world’s attention focused on the unspeakable violence committed by the Russian forces in Ukraine, the persecution in Belarus and Russia of their own citizens who were protesting against the invasion, and the challenges other neighbouring countries have faced as a result of an unprecedented wave of Ukrainian refugees. This change, on the one hand, calls for a certain distance with which we should judge the survey data and the derived results. On the other hand, the data may serve as a unique resource to support the analysis of the pre-war conditions in these countries with the aim to understand the background driving forces behind this dramatic crisis. In as much as the gender lens is necessary to comprehend the full scale of the consequences of both the COVID-19 pandemic and the war in Ukraine, it will be equally indispensable in the process of post-war development and reconciliation once peace is again restored.
Survey Design, Countries, and Samples
The survey was conducted in eight countries in September 2021 through as a telephone (CATI) survey using the list assisted random digit dialling (LA-RDD) method covering both cell phones and land-lines, and the sampling was carried out in such a way as to make the final sample representative of the respective populations by gender and three age group (18-39; 40-54; 55+). The collected samples varied from 925 to 1000 individuals. The same questionnaire initially prepared as a generic English version was fielded in all eight countries (in the respective national languages). The only deviations from the generic version were related to the education categories and to a set of final questions implemented in Latvia, Russia and Ukraine with a focus on the evaluation of national IPV legislation.
Table 1 presents some basic sample statistics, while Figure 1 shows the unweighted age and gender compositions in each country. The proportion of women in the sample varies between 49.4% in Sweden and 55.0% in Belarus, Russia and Ukraine. The average sample age is between 43 (Armenia) and 51 (Sweden), while the proportion of individuals with higher education is between 29.3% in Belarus and 55.4% in Georgia. The highest proportion of respondents living in rural areas could be found in Armenia at 62.9%, while the lowest was in Georgia at 24.1%. Figure 1 illustrates good coverage across age groups for both men and women.
Table 1. FROGEE Survey: samples and basic demographics

Source: FROGEE Survey on Domestic and Gender-Based Violence.
Figure 1. FROGEE Survey: gender and age distributions

Source: FROGEE Survey on Domestic and Gender-Based Violence.
Socio-economic Conditions and Other Background Characteristics
To be able to examine the relationship between different aspects of domestic and gender-based violence to the socio-economic characteristics of the respondents, an extensive set of questions concerning the demographic composition of their household and their material conditions were asked at the beginning of the interview. These questions included information about partnership history and family structure, the size of the household and living conditions, education and labour market status (of the respondent and his/her partner) and general questions concerning material wellbeing. In Figure 2 we show a summary of two of the latter set of questions – the proportion of men and women who find it difficult or very difficult to make ends meet (Figure 2A) and the proportion who declared that the financial situation of their household deteriorated in the last two years, i.e. since September 2019, which can be used as an indicator of the material consequences of the COVID-19 pandemic. We can see that the difficulties in making ends meet are by far lowest in Sweden, and slightly lower in the other EU countries (Latvia and Poland). The differences are less pronounced with regard to the implication of the pandemic, but also in this case respondents in Sweden seem to have been least affected.
Figure 2. Making ends meet and the consequences of COVID-19
a. Difficulties in making ends meet

b. Material conditions deteriorated since 2019

Source: FROGEE Survey on Domestic and Gender-Based Violence.
Perceptions and Incidence of Domestic and Gender-Based Violence and Abuse
Frequency of differential treatment and abuse
The set of questions concerning domestic and gender-based violence started with an initial module related to the different treatment of men and women, with respondents asked to identify how often they witnessed certain behaviours aimed toward women. The questions covered aspects such as women being treated “with less courtesy than men”, being “called names or insulted for being a woman” and women being “the target of jokes of sexual nature” or receiving “unwanted sexual advances from a man she doesn’t know”, and the respondents were to evaluate if in the last year they have witnessed such behaviours on a scale from never, through rarely, sometimes, often, to very often. We present the proportion of respondents answering “often” or “very often” to two of these questions in Figure 3A (“People have acted as if they think women are not smart”) and 3B (“A woman has been the target of jokes of a sexual nature”). We find significant variation across these two dimensions of differential treatment, and we generally find that women are more sensitive to perceiving such treatment. It is interesting to note that the proportion of women who declared witnessing differential treatment in Sweden is very high in comparison to for example Latvia or Belarus, which, as we shall see below, does not correspond to the proportion of women (and men) witnessing more violent types of behaviour against women.
Figure 3. Frequency of differential treatment (often or very often)
a. People have acted as if they think women are not smart

b. A woman has been the target of jokes of a sexual nature

Source: FROGEE Survey on Domestic and Gender-Based Violence.
Questions on the frequency of witnessing physical abuse were also asked in relation to the scale of witnessed behaviour. Here respondents were once again asked to say how often “in their day-to-day life” they have witnessed specific behaviours. These included such types of abuse as: a woman being “threatened by a man”, “slapped, hit or punched by a man”, or “sexually abused or assaulted by a man”. The proportion of respondents who say that they have witnessed such behaviour with respect to two of the questions from this section are presented in Figure 4. In Figure 4A we show the proportion of men and women who have witnessed a woman being “slapped, hit or punched” (sometimes, often or very often), while in Figure 4B being “touched inappropriately without her consent”. Relative to the perceptions of differential treatment the incidence of a woman being hit or punched (4A) declared by the respondents seems more intuitive when considered against the overall international statistics of gender equality. The proportions are lowest in Sweden and Poland, and highest in Armenia and Ukraine. However, the perception of inappropriate touching by men with respect to women (Figure 4B) shows a similar extent of such actions across all analysed countries.
Figure 4. Frequency of abuse (sometimes, often or very often)
a. A woman has been slapped, hit or punched by a man

b. A woman has been touched inappropriately, without her consent, by a man

Source: FROGEE Survey on Domestic and Gender-Based Violence.
Perceptions of abuse
The questions concerning the scale of witnessed behaviours were complemented by a module related to the evaluation of certain behaviours from the perspective of their classification as abuse and the degree to which certain types of gender-specific behaviours are acceptable. Thus, for example respondents were asked if they consider “beating (one’s partner) causing severe physical harm” to be an example of abuse within a couple (Figure 5A) or if “prohibition to dress as one likes” represents abuse (Figure 5B). This module included an extensive list of behaviours, such as “forced abortion”, “constant humiliation, criticism”, “restriction of access to financial resources”, etc. As we can see in Figure 6, with respect to the clearest types of abuse – such as physical violence – respondents in all countries were pretty much unanimous in declaring such behaviour to represent abuse. With respect to other behaviours the variation in their evaluation across countries is much greater – for example, while nearly all men and women in Sweden consider prohibiting a partner to dress as he/she likes to be abusive (Figure 5B), only about 57% of women and 36% of men in Armenia share this view.
The questionnaire also included questions specifically focused on the perception of intimate partner violence. These asked respondents if they knew about women who in the last three months were “beaten, slapped or threatened physically by their intimate partner”, and the evaluation of how often intimate partners act physically violent towards their wives.
Figure 5. Perceptions of abuse: are these examples of abuse within a couple?
a. Beating causing severe physical harm

b. Prohibition to dress as one likes

Source: FROGEE Survey on Domestic and Gender-Based Violence.
A further evaluation of attitudes towards violent behaviour was done with respect to the relationship between a husband and wife and his right to hit or beat the wife in reaction to certain behaviours. In Figure 6 we show the distribution of responses regarding the justification for beating one’s wife in reaction to her neglect of the children (6A) or burning food (6B). The questions also covered such behaviour as arguing with her husband, going out without telling him, or refusing to have sex. As we can see in Figure 6, once again we find substantial country variation in the proportion of the samples – both men and women – who justify such violent behaviour within couples. This was particularly the case when respondents were asked about justification of violent behaviour in the case of a woman neglecting the children. In Armenia as many as 30% of men and 22% of women agree that physical beating is justified in those cases. These proportions are manyfold greater than what can be observed in countries such as Latvia, where 3% of men and women agreed that abuse was justifiable under these circumstances, or Sweden, where only 1% of men and women agreed.
Figure 6. Perceptions of abuse: is a husband justified in hitting or beating his wife
a. If she neglects the children

b. If she burns the food

Source: FROGEE Survey on Domestic and Gender-Based Violence.
Seeking help and the legal framework
The final part of the questionnaire focused on the evaluation of different reactions to incidents of domestic and gender-based violence. Respondents were first asked if a woman should seek help from various people and institutions if she is beaten by her partner – respondents were asked if she should seek help from the police, relatives or friends, a psychologist, a legal service or if, in such situations, she does not need help. In Figure 7 we show the proportion of people who agreed with the last statement, i.e. claimed that it is only the couple’s business. The proportions of respondents who declare such an attitude is higher among men than women within each country, and is highest among men in Armenia (48%) and Georgia (25%). Again, these proportions are in stark contrast to men in Sweden, or even Poland, where only 4% and 8% of men agreed, respectively. Nevertheless, looking at the total survey sample, a vast majority believe that a woman who is a victim of domestic violence should seek help outside of her home, indicating that at least some forms of institutionalised support for women are popular measures with most people.
Figure 7. Proportions agreeing that domestic violence is only the couple’s business

Source: FROGEE Survey on Domestic and Gender-Based Violence.
The interview also included questions on the need for specific legislation aimed at punishing intimate partner violence and on the existence of such legislation in the respondents’ countries. The latter questions were extended in three countries – Latvia, Russia and Ukraine – to evaluate the specific sets of regulations implemented recently in these countries and to facilitate an analysis of the role IPV legislation can play in reducing violence within households. Legislation on domestic violence is relatively recent. During the last four decades, though, changes accelerated in this respect around the world. Legislative measures have been introduced in many countries, covering different aspects of preventing, protecting against and prosecuting various forms of violence and abuse that might happen within the marriage or the family. Research strives to offer evaluations on what legal provisions are most effective, in a setting in which statistics and information are still far from perfect, and as a consequence of the dearth of strong evidence the public debate on the matter is often lively. For legislation to have an effect on behaviour through shaping the cost of committing a crime, on the one hand, and the benefit of reporting it or seeking help, on the other, or more indirectly through changing norms in society, information and awareness are key. For how can deterrence be achieved if people do not know what the sanctions are? And how can reporting be encouraged if victims do not know their rights? The evidence on legislation awareness is unfortunately quite scarce. A survey of the criminology field (Nagin, 2013) concludes that this is a major knowledge gap.
Figure 8 shows the proportions of answers to questions concerning the need for and existence of legislation specifically targeted towards intimate partner violence. We can see that while support for such legislation is quite high (Figure 8A), it is generally lower among men (in particular in Armenia, Russia and Belarus). Awareness of existence of such laws, on the other hand, is much lower, and it is particularly low among women. It should be pointed out that all countries have in fact implemented provisions against domestic violence in their criminal code, but only around half of the population, sometimes much fewer, are aware of that.
Figure 8. Need for and awareness of IPV legislation
a. State should have specific legislation aimed at punishing IPV

b. Country has specific legislation aimed at punishing intimate partner violence

Source: FROGEE Survey on Domestic and Gender-Based Violence.
Recent reforms of DV legislation that were implemented in Russia in 2017, in Ukraine in 2019 and in Latvia just a few months ago (at the time of the survey, the changes were at the stage of a proposal) were the subject of the final survey questions in these countries. We find that awareness of these recent reforms is very low in all three countries, and knowledge about the reform content (gauged with the help of a multiple-choice question with three alternative statements) is even lower. Our analysis suggests that gender and family situation are the two factors that most robustly predict support for legislation, while education and age are associated with awareness and knowledge of the reforms. Minority Russian speakers are less aware of the reforms in both Ukraine and Latvia, in Ukraine are also less likely to answer correctly about the content of the reform, and in Latvia are less supportive of DV legislation in general.
Analyses of this type are useful for policy design, to better understand which groups lack relevant knowledge and should be targeted by, for example, information campaigns to combat DV, such as those many governments around the world implemented during the covid-19 pandemic.
Future Work Based on the Survey
The above is just a small sample of the rich source of information that has resulted from conducting the survey. Already from this simple overview we can see some interesting results. There are, for example, clear differences between men and women in perceptions of how common certain types of abusive behaviour are. However, for many questions differences between countries are larger than those between men and women within a country. Interestingly such differences are also different depending on the severity of the abuse or violence. In Sweden the perception of women being victims of less violent abuse is higher than in some other countries where instead some more violent types of abuse are reported as being more common. This could, of course, be due to actual differences in actual events but it is also possible that there are differences in what types of behaviour are considered to represent harassment and abuse in different societies. More careful data work is needed to try to answer questions like this and many others. Currently there are a number of ongoing research projects based on the survey results, three of which will be presented at the FREE-network conference on “Economic and Social Context of Domestic Violence” in Stockholm on May 11, 2022. Our hope is that this work will help in taking actions to prevent gender-based abuse and domestic violence based on a better understanding of underlying cross-country differences in social norms and attitudes and their relation to socio-economic factors.
About FROGEE Policy Briefs
FROGEE Policy Briefs is a special series aimed at providing overviews and the popularization of economic research related to gender equality issues. Debates around policies related to gender equality are often highly politicized. We believe that using arguments derived from the most up to date research-based knowledge would help us build a more fruitful discussion of policy proposals and in the end achieve better outcomes.
The aim of the briefs is to improve the understanding of research-based arguments and their implications, by covering the key theories and the most important findings in areas of special interest to the current debate. The briefs start with short general overviews of a given theme, which are followed by a presentation of country-specific contexts, specific policy challenges, implemented reforms and a discussion of other policy options.
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 Effects of Sanctions
Sanctions imposed on Russia after its invasion of Ukraine are argued to be the strongest and farthest-reaching imposed on a major power after WWII, more numerous and more comprehensive than all other measures currently in force against all other sanctioned countries. A question often asked, which is hard to answer, is whether sanctions are effective. In the present case, the effect most associate with success would be a swift end of the hostilities, perhaps accompanied by a regime change in Russia. But even when it seems these prizes are out of reach, sanctions certainly have effects, all too often glossed over by the debate but nonetheless of significance.
Why Are Sanctions Seen as Ineffective?
Sanctions are restrictions imposed on a country by one or more other countries with the intent to pressure in effect some desirable outcome, or conversely to condemn and punish some undesired action already taken. When evaluating sanctions, therefore, the focus is naturally on whether they succeed to discourage this particular course of action, or to remove the decision-makers responsible for it. And on this account, sanctions are overwhelmingly seen as unsuccessful. However, a few complications cloud this conclusion.
First of all, sanctions that are implemented already failed at the threat stage. If the threat of a well-specified and credible retribution did not deter the receiving part from pursuing the sanctioned course of action, it is because they reckoned that they can afford to ignore it. So, unless this punishment goes beyond what was expected, in scope or in time, its implementation will also fall flat. This implies that any effort to evaluate sanctions retrospectively suffers from the negative selection problem, when almost exclusively cases of failure, intended in this particular sense, are observed.
Second, sanctions are a rather blunt instrument, that often cannot be targeted with the precision one would desire. Even though sanctions have over time become “smarter”, in the sense that stronger efforts are made to target the regime, or elites that may have the clout to actually affect the regime (think the oligarchs in Russia), they often fail to reach or affect in a meaningful way those individuals that are the real objective, for various reasons. Instead, they can cause significant “collateral damage”, to groups of a population that often are quite far removed from any real decisional power, including those in the sending countries, and even third parties who are extraneous to the situation. The damage inflicted to those parties can only in very special circumstances be part of a causal link eventually impacting the intended outcome. For instance, citizens struggling in an impoverished economy could be led to a riot, or in some other way put pressure on their government – but this implies that the country is sufficiently free for riots to take place or for voters’ opinions to be taken into consideration.
To this, it should be added that, once a course of action has been taken, it might be not obvious how to change or undo it, notwithstanding the signaled displeasure from the sanctioning parties. Sanctions are therefore rarely working in isolation. When positive outcomes are achieved, it is often the case that diplomatic channels were kept open and clear incentives offered for a way out. But then it might be unclear whether it was the sanctions or something else that led to the success.
Other Effects of Sanctions
The pitfalls highlighted above, which make it tricky to answer whether sanctions are effective at reaching their aim, also apply when studying other effects that sanctions might have. There is of course a range of outcomes that might be affected: in this literature we find studies looking at inequality (Afesorgbor et al., 2016), exchange rates (Dreger et al., 2016), trade (Afesorgbor, 2019; Crozet et al. 2020), the informal sector (Early et al, 2019), military spending (Farzanegan, 2019), women’s rights (Drury, 2014), and many more. But as it often happens the most studied outcome is GDP, as this is a measure that efficiently summarizes the whole economy and correlates very nicely with many other outcomes we care about.
Suppose then that we would like to investigate what is the effect of sanctions on a target country’s GDP. One problem is identifying an appropriate counterfactual; to observe what would have happened in the target country in the absence of sanctions. It is also an issue that the incidence of international sanctions is often a product of a series of events in the target or sender country (e.g. the Iraqi invasion of Kuwait or the apartheid system in South Africa), which also have impacts on the economy that would need to be isolated from the impact of sanctions themselves.
A variety of econometric techniques can be of help in this situation. One first idea is to use, as a reference, cases where sanctions were almost implemented. Gutmann et al. (2021) compare countries under sanctions to countries under threat of sanctions, while Neuenkirch and Neumeier (2015) contrast implemented sanctions to vetoed sanctions, in the context of UN decisions. Both studies find a relatively sizeable negative impact on GDP, in a large group of countries over a long period of time. In the first study, the target country’s GDP per capita decreases on average by 4 percent over the two first years after sanctions imposition and shows no signs of recovery in the three years after sanctions are removed. The second study estimates a reduction in GDP growth that starts at between 2,3 and 3,5 percent after the imposition of UN sanctions and, although it decreases over time, only becomes insignificant after ten years. It should be considered that a lower growth rate compounds over time: experiencing a slower growth even by only 1 percent over ten years implies a total loss of almost 15 percent. As a comparison, the average GDP loss due to the Covid-19 pandemic is estimated to be 3,4 percent in 2020.
These studies have limitations. Countries under threat of sanctions are probably making efforts to avoid punishment, which might imply that these countries are precisely the ones who would be most negatively affected by the sanctions. If so, the impact found by Gutmann et al. (2021) is probably underestimated. Neuenkirch and Neumeier (2015) only look at UN sanctions, which on one hand might give a larger impact because of the multilateral coordination. But on the other hand, the issue of an appropriate counterfactual emerges again: countries whose sanctions are vetoed might be larger, more influential, and better connected within the international community or to some of the major powers, which may also affect their economic success in other ways.
Kwon et al. (2020) adopt a different technique and come to a different conclusion. They use an instrumental variable (IV) approach and find that standard OLS overestimates the negative effect of sanctions, in other words, that sanctions’ effects are less negative than we think. They find an instantaneous effect on per capita GDP that becomes insignificant in the long run, just as if sanctions never happened.
Our confidence in these estimates hinges upon the validity of the IV used. In this case, the actual imposition of sanctions is replaced by its estimated likelihood based on sender countries’ variation in institutions and diplomatic policies (which are exogenous to the target country’s economic developments) and pre-determined country-pair characteristics (trade and financial flows, travels, colonial ties). Therefore, episodes where sanctions are imposed because the sender country happens to be in a period of hawkish foreign policy and because the target does not have strong historical relations with them are contrasted to episodes in which the opposite is true, and sanctions are therefore not implemented, everything else being equal.
The results also show that there is heterogeneity across types of sanctions, with trade sanctions having both a short and long run negative impact, while smart sanctions (i.e. sanctions targeted on particular individuals or groups) have positive effects on the target country’s economy in the long run. This is quite an important point in itself. Often, sweeping statements about effectiveness of “sanctions” lump all the different measures together, and fail to appreciate that there may be substantial differences. However, the effect of one or another type of sanctions will vary depending on the structure of the economy that is hit.
A third approach is the synthetic control method. Here the researcher tries to replicate as closely as possible the path of economic development in the target country up to the point of sanctions’ implementation, using one or a weighted average of several other countries. In this way, evolution after sanctions’ inception can be compared between the actual country and its synthetic control. Gharehgozli (2017) builds a replica of Iran based on a weighted combination of eight OPEC member countries, two non-OPEC oil-producing countries and three neighboring countries, that match a set of standard economic indicators for Iran over the period 1980-1994. The study finds that over the course of three years the imposition of US sanctions led to a 17.3 percent decline in Iran’s GDP, with the strongest reduction occurring in 2012, one year after the intensification of sanctions (2011-2014) was initiated.
This is a stronger effect than those presented earlier. However, it only speaks to the special case of Iran, rather than estimating a broader global average effect. Another study focusing on Iran (Torbat, 2005) makes the important point that the effect of sanctions varies by type: financial sanctions are found to be more effective (in lowering Iran’s GDP) than trade sanctions – which contrasts with what is found to be true on average by Kwon et al. (2020).
Finally, the relation between economic damage and the effectiveness of sanctions in terms of reaching their goals is debatable. In a theoretical model, Kaempfer et al. (1988) suggest that this relation might even be negative and that the most effective sanctions are not necessarily the most damaging in economic terms. The sanctions most likely to facilitate political change in the target country are those designed to cause income losses on groups benefiting from the target country’s policies, according to the authors.
The Effect of Sanctions on Russia
Are these results from previous studies useful to form expectations about the effects of the current sanctions on Russia? The invasion of Ukraine which started at the end of February was a relatively unexpected event, at least in character and scale, in contrast to what can be said in the majority of situations involving sanctions. However, the context leading up to it was not one of normality either. Besides the global pandemic, Russia was already under sanctions following the Crimean Crisis in 2014. The impact of those economic sanctions, and of the counter-sanctions imposed by Russia as retaliation, is still unclear – and will be in all probability completely dwarfed by the current sanction wave as well as other exogenous shocks, such as significant changes in oil prices in this period. Kholodilin et al. (2016) estimated the immediate loss of GDP in Russia to be 1,97 percent quarter-on-quarter, while no impact on the aggregate Euro Area countries’ GDP could be observed. A Russian study (Gurvich and Prilepsky, 2016) forecasted for the medium term a loss of 2,4 percentage points by 2017 as compared to the hypothetical scenario without sanctions. This pales in comparison to the magnitude of consequences that are being contemplated now. Even the potentially optimistic, or at least conservative, assessment of the current situation by the Russian Federation’s own Accounts Chamber, in the words of its head Alexei Kudrin, suggests that: “For almost one and a half to two years we will live in a very difficult situation.” At the end of April, they published revised forecasts on the economic situation, among which the one for GDP is shown below. Russian Central Bank chief Elvira Nabiullina also sounded bleak, speaking in the State Duma: “The period when the economy can live on reserves is finite. And already in the second – the beginning of the third quarter, we will enter a period of structural transformation and the search for new business models.” The World Bank has forecasted that Russia’s 2022 GDP output will fall by 11.2% due to Western sanctions. These numbers do not yet factor in the announcement of the sixth EU sanction package, which famously includes an oil embargo (see an earlier FREE Policy Brief on the dependency of Russia on oil export).
Figure 1. Revised forecasts of growth rates for the Russian economy

Source: Macroeconomic survey of the Bank of Russia, April 2022.
Are these estimates realistic, and what would have been the counterfactual development without sanctions? If we believe the studies reviewed in the previous section, and also taking into account the unprecedented scale and reach of the current sanctions, at least the time horizon, if not the size, of the consequences forecast by Russian authorities is, though substantial, certainly underestimated. But there is too much uncertainty at the moment, hostilities are still ongoing and sanctions are not being lifted for quite some time in any foreseeable scenario. One reason why these sanctions are not likely to be relaxed, and why their impact is expected to be more severe than in most cases, is that a very broad coalition of countries is backing them. Not only this but the sanctioning countries see Russia’s conduct as a potential threat to the existing world order, so their motivation to contrast it is particularly strong relative to, say, the cases of Iran, North Korea, or Burma.
Moreover, these loss estimates do not yet factor in the announcement of the sixth EU sanction package, which famously includes an oil embargo. Oil is a fundamental driver of growth in Russia. An earlier FREE Policy Brief shows how two-thirds of Russia’s growth can be explained by changes in international oil prices. This is not because oil constitutes such a large share of GDP but because of the secondary effect oil money generates in terms of domestic consumption and investment. Reducing export revenues from the sale of oil and gas will therefore have significant effects on Russia’s GDP, well beyond what the first-round effect of restricting the oil sector would imply.
In short, it is too early to venture an assessment in detail, however, the scale of loss that can be expected is clear from these and many other indicators. In the longer run, it will only be augmented by the relative isolation in which Russia has ended up, implying lower investments and subpar capital inputs at inflated prices, and by the ongoing brain drain (3,8 million people have already left the country since the war began).
Conclusion
In conclusion, the debate about economic sanctions as a tool of foreign policy is often restricted to a binary question: do they work or not? There is ample support in the literature studying sanctions to say that this question is too simplistic. Even if we do not see immediate success in reaching the main aim of the sanction policy, they do cause damage, in many dimensions, and such damage is non-negligible. The political will and the regime behind it may be unaffected, but the resources they need to continue with their course of action will unavoidably shrink in the longer run.
References
- Afesorgbor, S. K. (2019). The impact of economic sanctions on international trade: How do threatened sanctions compare with imposed sanctions?. European Journal of Political Economy, 56, 11-26.
- Afesorgbor, S. K., & Mahadevan, R. (2016). The impact of economic sanctions on income inequality of target states. World Development, 83, 1-11.
- Crozet, M., & Hinz, J. (2020). Friendly fire: The trade impact of the Russia sanctions and counter-sanctions. Economic Policy, 35(101), 97-146.
- Dreger, C., Kholodilin, K. A., Ulbricht, D., & Fidrmuc, J. (2016). Between the hammer and the anvil: The impact of economic sanctions and oil prices on Russia’s ruble. Journal of Comparative Economics, 44(2), 295-308.
- Drury, A. Cooper and Dursun Peksen. “Women and economic statecraft: The negative impact international economic sanctions visit on women.” European Journal of International Relations 20 (2014): 463 – 490.
- Early, B., & Peksen, D. (2019). Searching in the shadows: The impact of economic sanctions on informal economies. Political Research Quarterly, 72(4), 821-834.
- Farzanegan, Mohammad Reza. (2019). “The Effects of International Sanctions on Military Spending of Iran: A Synthetic Control Analysis.” Organizations & Markets: Policies & Processes eJournal .
- Gharehgozli, O. (2017). An estimation of the economic cost of recent sanctions on Iran using the synthetic control method. Economics Letters, 157, 141-144.
- Gurvich E., Prilepskiy I. (2016). The impact of financial sanctions on the Russian economy. Voprosy Ekonomiki. ;(1):5-35. (In Russ.) https://doi.org/10.32609/0042-8736-2016-1-5-35
- Gutmann, J., Neuenkirch, M., and Neumeier, F., 2021. ”The Economic Effects of International Sanctions: An Event Study” CESifo Working Paper No. 9007
- Kaempfer, W. H., & Lowenberg, A. D. (1988). The theory of international economic sanctions: A public choice approach. The American Economic Review, 78(4), 786-793.
- Kholodilin, Konstantin A. and Netsunajev, Aleksei. (2016) Crimea and Punishment: The Impact of Sanctions on Russian and European Economies. DIW Berlin Discussion Paper No. 1569, SSRN: https://ssrn.com/abstract=2768622
- Kwon, O., Syropoulos, C., & Yotov, Y. V. (2020). Pain and Gain: The Short-and Long-run Effects of Economic Sanctions on Growth. Manuscript.
- Neuenkirch, M., & Neumeier, F. (2015). The impact of UN and US economic sanctions on GDP growth. European Journal of Political Economy, 40, 110-125.
- Torbat, A. E. (2005). Impacts of the US trade and financial sanctions on Iran. World Economy, 28(3), 407-434.
- World Bank. (2022). “War in the Region” Europe and Central Asia Economic Update (Spring), Washington, DC: World Bank.
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 EU Import Bill and Russian Energy Sanctions
Since the beginning of the Russia-Ukraine war, the West has been contemplating sanctions on Russian oil and gas imports. For the EU, this plan poses a significant challenge due to the long-existing sizable dependency on Russian energy. In this brief, we outline the possible effects of banning Russian oil and gas on the energy import bill across the EU. While the effects of such a ban will go beyond a direct increase in the import costs of oil and gas, our estimates provide a useful reference point in discussing the impact of such sanctions on the EU. Our estimates suggest that the relative increase in the import costs in the case of an oil embargo would be more evenly spread across the Member States, than in the case of a natural gas ban. This parity makes an EU-wide Russian oil embargo a more straightforward sanction policy. In turn, a full replacement of Russian gas imports across the EU – due to either a gas embargo or retaliation from Russia in response to an oil ban – is likely to require some kind of solidarity mechanism.
Introduction
Since the beginning of the Russian invasion of Ukraine, the West has been discussing the idea of sanctioning the aggressor by banning Russian energy imports. The motivation is quite straightforward. In 2021, Russian oil and gas exports constituted 49% of Russian goods exports or 14 % of Russian GDP, and the Western world (in particular, the European Union) is the main recipient of these exports. Banning Russian oil and gas export would, thus, lead to heavy pressure on the Russian economy.
The discussion has been quite heated. The US actually implemented a ban on Russian oil and gas in early March 2022, but this gesture has been largely seen as relatively symbolic, as the US dependency on Russian energy imports is quite limited. EU politicians have voiced different opinions about the feasibility of Russian energy sanctions. While some advocate an immediate ban, others argue for a more gradual decrease in imports or even for continuing imports effectively in a business-as-usual fashion. While the EC has announced plans to cut down the consumption of Russian gas by two-thirds in 2022 and mentioned the implementation of “some form of oil embargo” as part of their 6th sanction package, there is still no consensus across the EU. Sanctions on Russian oil and gas imports have not been implemented in the EU by the time of writing this brief.
The main reason for this hesitation is the extent to which Russia remains the main energy supplier. In 2020, 39% of gas and 36% of oil and oil products in the EU were imported from Russia, and the feasibility and consequences of replacing these with alternative supplies are debatable. Since the beginning of the war academics, international organizations and consultancies have offered a variety of analytical materials on the feasibility and implications of such energy sanctions (see e.g., Bachmann et al. 2022. Chepeliev et al, 2022, Fulwood et al., 2022, Guriev and Itskhoki, 2022, Hilgenstock and Ribakova, 2022, IEA, 2022, RYSTAD 2002a,b, Stehn, 2022 to name just a few).
This brief contributes to these estimates by discussing how a Russian oil and gas ban could affect the energy import bill across individual EU countries. We start by providing details on the EU’s dependency on Russian oil and gas imports. We then proceed to access the scope of the costs that a ban on Russian energy could imply for the EU energy sector. We conclude with a discussion about the feasibility of political agreement on such sanctions.
Import Dependency and Dependency on Russian Energy Across the EU
The two primary channels through which a Russian energy ban would affect the vulnerability of an EU country are the dependency on Russian oil and gas, and the overall energy import dependency. The former matters since a ban would imply an immediate necessity to replace missing volumes of energy. This would lead to an increase in energy prices widely across markets, thereby signifying the importance of the latter channel, the overall import dependency.
Figures 1 and 2 depict the dependency on Russian oil and gas across the EU member states. In Figure 1, the dependency is measured as a ratio of Russian energy imports to the gross available energy for each energy type separately – crude oil, oil and oil products, and natural gas. However, this measure may not reflect the importance of the respective energy type in a country’s energy portfolio. For example, in Finland, Russian gas imports constitute 67% of gross available natural gas. However, natural gas is less than 7% of the country’s energy mix, thus the overall effect of Russian gas on the Finnish energy sector and economy is rather limited. To account for this, Figure 2 offers an overview of the contribution of Russian energy imports to the cumulative energy portfolio across the EU.
Both figures show that there is a large variation both in terms of the contribution of individual energy types and in terms of overall dependency on Russian fuels. For example, the latter is almost negligible for Cyprus and well over 50% for Lithuania (however, Figure 2 accounts for re-exports and, thus, overestimates the role of Russian energy imports for Lithuanian domestic available energy in 2020.
Figure 1. Share of Russian energy imports in gross available energy, by fuel, 2020.

Note: Gross available energy indicates the overall available energy supply on the territory of the country. It is defined as Gross available energy = Primary production + Recovered and recycled products + Imports – Exports + Change in stock. . In several EU member states natural gas transit may be included in the imports. As a result, the high share of Russian energy may reflect not only imports for consumption but also for transit, as well as fuels for refinement and further export (e.g. oil products in Estonia (cut at Figure 1, 285%), Lithuania (cut at Figure 1, 201%), Slovakia and Finland). Austrian data on natural gas imports from Russia are confidential and not represented in the diagram. Denmark and Croatia did not report Russian gas imports data for 2020 to Eurostat. Source: Eurostat
Figure 2. Share of Russian energy imports in total gross available energy, 2020. Source: Eurostat

Note: See Figure 1. Source: Eurostat
While the above data summarizes the EU dependency on Russian energy imports in volume terms, it is also useful to have a sense of the costs of this dependency. As we are not aware of any source that has accurate data on the value of imports across the EU states, we construct a back-of-the-envelope assessment of the costs of Russian energy imports to the EU in 2021 using the available trade data for 2021 and the allocation of imports across the EU Member States for 2020 (see Appendix 1 for more details). Admittedly, these estimates only account for the differences in prices of energy imports from Russia vs. other suppliers; it does not capture e.g., the difference in prices of Russian gas across the Member States. Still, they offer useful insight into the scope of these expenses, in levels (Figure 3) and the share of GDP (Figure 4).
The results suggest that, while the expenses are quite sizable – e.g., the total value of Russian fossil energy imports to the EU in 2021 exceeds 110 bln EUR, – they correspond to around 0.7% of European GDP. Again, there is variation across the Member States, but in most cases – effectively all cases that do not account for re-export – the share of Russian energy imports is below 2% of GDP.
Figure 3. Value of Russian fossil energy imports, bln EUR, 2021.

Source: Eurostat, GazpromExport, Central Bank of Russia, author’s own calculations, see Appendix 1.
Figure 4. Share of oil, oil products and gas imports in GDP, 2021.

Source: Eurostat, GazpromExport, Central Bank of Russia, author’s own calculations, see Appendix 1.
Figure 4 also touches upon the second source of vulnerability towards a ban on Russian energy, mentioned at the beginning of this section. It depicts not only the value of Russian oil and gas imports as a percent of GDP but the overall dependency on imports of oil and gas as a share of GDP. The larger this dependency is, the bigger is the impact of an increase in energy prices for a country. Figure 4 not only confirms the abovementioned variation across the Member States but also shows that some countries with little-to-moderate direct dependency on Russian oil and gas – e.g., Portugal or Spain, – are still likely to experience a sizable negative shock to their energy expenses due to the market price increase.
Importantly, these figures give only a very rough representation of the potential damage that a ban on Russian energy imports may cause to the EU economies. Two EU Member States with a comparable dependency could react to the shortage of Russian gas in very different ways, depending on a variety of other factors – the extent and scalability of domestic production, diversification of their remaining energy portfolio in terms of energy suppliers and types of oil the economy relies on (e.g., light vs. heavy), energy infrastructure (e.g., LNG regasification facilities or storage), consumption structure, etc. Le Coq and Paltseva (2009, 2012) discuss in detail some of these factors, and the possibilities to account for them. However, for the sake of simplicity, in this brief we focus on the (volume- and value-based) measures of dependency.
Potential Costs of Russian Energy Import Ban
In this section, we discuss the potential implications of banning imports of Russian oil and gas on the costs of fossil energy imports in the EU. We offer a few historical parallels in order to assess the potential scope of the price reaction to such a ban. Furthermore, we proceed to provide estimates of the costs of oil and gas imports across the EU Member States, would such sanctions be implemented.
Oil Imports Ban
We start with a potential ban on Russian oil and oil product imports. To put things in perspective, it might be useful to present some numbers. According to the IEA, Russia recently surpassed Saudi Arabia as the world’s largest oil and oil products exporter. In December 2021, global Russian crude and oil product exports constituted 7.8 million barrels per day (mb/d), with exports of crude oil and condensate at 5 mb/d. Out of the total 7.8 mb/d, exports to OECD countries constituted 5.6 mb/d, with crude oil exports amounting to 3.9 mb/d. Assuming that the size of the global oil market in 2021 returns to its pre-pandemic 2019 level (the actual data for 2021 global oil consumption is not available yet), Russian crude oil exports to the OECD constitute 8.6% of global crude exports. The corresponding figure for oil products is 6.8% (BP, 2021).
So, what would happen if the developed world – which for the purpose of this analysis we proxy by OECD – bans Russian oil exports? In the recent public discussion, many voices have compared this potential development to the 1973 oil crisis. This crisis was initiated by OAPEC’s – the Arab members of OPEC, – oil embargo on the US in response to their support of Israel during the Yom Kippur War. The OAPEC, the biggest group of oil exporters at the time, completely banned oil exports to the US (and a number of other western countries), and also introduced production restraints that affected the global oil market. The (WTI) oil price during this episode went up by a factor of three (see, e.g, Baumeister and Kilian, 2016).
However, a few important features are likely to differ between the oil crisis of 1973 and the potential impact of the Russian imports ban. First, the net loss of oil supplies during the Arab embargo was around 4.4 mb/d, which at that point constituted around 14% of traded oil (Yergin, 1992). Recall that Russian supplies to OECD are around half of this share. Moreover, it is likely that the ban would not lead to a complete withdrawal of these amounts from the market, but rather to a partial rerouting of Russian oil to Asia and, consequently, a readjustment of world oil trade flows. Second, Yergin (1992) points out that, at the time of the 1973 oil crisis, oil consumption was growing at 7.5% per year, which exacerbated the impact of the embargo. In contrast, the current assessments of oil demand growth are at around 2% per year (IEA, 2022). Third, the energy portfolios are much more diversified now than in 1973, with gas and renewables playing a more substantial role. In the case of an isolated oil imports ban (not extending to gas imports), this would argue in favor of a more moderate price impact. Finally, the oil embargo of 1973 was a never-seen-before episode in the history of the oil market. The uncertainty about future developments has likely contributed to the oil price increase. While there is substantial uncertainty associated with the impact of a Russian oil imports ban, it is arguably lower than in 1973. Based on these considerations, a three-fold oil price increase in the case of a Russian oil export ban seems highly unlikely.
As a possible lower bound of the price impact, one can consider a much more recent price shock brought about by drone attacks on the oil processing facilities Abqaiq and Khurais in Saudi Arabia in 2019. In the initial assessment of the damage, Saudi Arabian authorities stated that the attack decreased the national oil production by 5.7 mb/d – which is more than the total of Russian oil exports to OECD. As a reaction, the intraday oil price went up by 20 %, and the daily oil price by 12%. In two weeks, production and export capacity was almost back to normal and the price returned to pre-shock levels.
Notice that the scale of the daily shortage in this episode exceeds the likely shortage under the Russian imports ban. However, a moderate price reaction, in this case, was clearly driven by expectations for the temporary nature of the shortage, as the damage was to be repaired in a matter of a few weeks, if not days. In comparison, the Russian oil ban is likely to last much longer. In this way, a price increase of 12%, or even 20%, would be an underestimation of the effect of a Russian oil imports ban.
While the above discussion suggests some bounds for the possible price effects of a Russian oil ban, the uncertainty around such price developments is very high. Figure 5 shows the cost estimates of oil and oil products imports to the EU for two potential price levels – $120/b, and $180/b. Each price would roughly correspond to an increase of 33%, and 100%, respectively, relative to the pre-invasion price of $90/b. In the estimation, we simplistically assume that the price of oil products increases by the same amount as the price of crude oil. We also assume that the missing Russian oil can be replaced by alternatives, such that oil consumption does not change compared to the 2021 level for the lower price scenario and that it decreases by 2% for the high-cost scenario due to the demand adjustments.
Figure 5. Estimated effect of Russian oil ban on oil and gas imports in 2022: value of oil and oil products imports, EUR bln (left axis), and oil import expenses relative to 2021 level (right axis).

Source: Eurostat, GazpromExport, Central Bank of Russia, author’s own calculations, see Footnote 1.
The estimates suggest that the total oil and oil products import costs for the EU would be just above EUR 640 bln for the $120/b price level and EUR 940 bln for the $180/b price level. Furthermore, the costs across the EU Member States would vary greatly depending on the size of the economy and its exposure to oil imports.
This shows that – provided that the Russian oil will be fully replaced but at a higher price – the expected cost of this is in the range of 1.7-1.9 times the 2021 expenses at 120$/b, and 2.5-2.8 times that if the price would be 180$/b. While there is some variation across Member States, mostly driven by the removal of the somewhat cheaper Russian oil from the consumption basket, it is rather limited. Figure 5 also demonstrates that the ban on Russian oil imports is going to affect not only countries that directly depend on Russian oil but also countries with large oil and oil products imports due to the market price effects.
Gas Imports Ban
Now we proceed to discuss the costs of banning Russian gas imports into the EU. While LNG has increased the fungibility of the natural gas market, it remains sizably segmented. Therefore, we concentrate on the effect on the European market.
Russian gas constituted around 39% of the EU gas consumption volumes in 2020, and just below 30% in 2021 due to restricted supply during the second half of the year (McWilliams, Sgaravatti and Zachmann, 2021). It is currently a common understanding that fully substituting 155 Bcm of Russian gas imports in 2021 with imports from other pipeline suppliers, LNG, storage, and increasing domestic production is not feasible in 2022. Different sources have given different estimates on the extent of the resulting shortage, see e.g. Table 1.
Table 1. Alternatives to replace EU imports of Russian natural gas

Source: Rystad Energy (2022a, 2022b), Fulwood et.al (2022), IEA (2022).
As shown in Table 1, the net missing gas consumption ranges between 12% and 22% across different scenarios. As there are no historical episodes in the gas market to which such a development can be compared, it is difficult to assess the potential price reaction. One rough comparison can be made based on the oil market situation during the Arab oil embargo of 1973 discussed above. Then, the net loss of oil constituted about 9% of the oil consumption in “the free world” (Yergin, 1982), even lower than the most optimistic prognosis in Table 1. However, 33 Mcb of Russian gas (or 6% of 2021 the EU’s gas consumption) has already been imported to the EU since the beginning of 2022, making the potential gas shortage quite comparable to the oil shortage of 1973. Subject to all differences between the two shocks, one can, perhaps, still argue that the gas price increase following a ban on Russian gas imports should not exceed three-fold from before the invasion.
It is important to stress here that the EU gas market situation in the case of the Russian gas embargo would be principally different from the oil market one. Due to supply shortage not coverable by the alternative gas sources, a gas embargo would lead not only to a stronger price increase than in the case of oil, but also to significant downward demand adjustments, rationing and, perhaps, even price controls. (This, again, parallels the developments during the 1973 oil crisis). The negative effect of such rationing is not accounted for by the import bill. On the contrary, a shortage of supply would imply lower gas import volumes, biasing the impact on the gas import bill downward. In this way, an import bill reaction to sanctions in the case of natural gas may more strongly underestimate the overall impact on the economy than in the case of oil.
While the above argument suggests a higher price increase in the case of a gas embargo in comparison to an oil ban, there is still a lot of uncertainty in forecasting the gas price. Figure 6 depicts the estimates for the natural gas cost across the EU for two potential price levels – EUR 160/Mwh, and EUR 240/Mwh, a two- and three-fold increase relative to the pre-invasion price level of EUR 80/Mwh. Both estimates assume a (moderate) 8% decrease in the demand reflecting the abovementioned supply shortage and demand adjustments. We assume that the shortage is affecting both the importers of Russian gas and those who use other suppliers due to the common gas market in the EU and the use of reverse flow technology – as was the case for Poland which was denied Russian gas on April 27th, 2022 due to not paying for it in Rubles (see Appendix 1 for a discussion of implications of this assumption).
Not surprisingly, the gas import costs increase drastically in comparison to 2021. The total figures for the EU would be just below EUR 680 bln in the two-fold price increase scenario, and exceed 1 trn EUR in the case of a three-fold increase, in contrast to EUR 185 bln in 2021. Again, the largest economies bear the highest costs in absolute value.
When it comes to the relative increase in gas import value, two further observations follow from Figure 6. First, there is a huge variation in the increase in the value of gas imports across the Member States, from no effect in Cyprus which does not import natural gas, to 7.7 times in the case of a price doubling and 11.5 times in the case of a price tripling. Again, this variation originates from the necessity to replace cheaper Russian gas with more expensive gas sources, and the effect is much stronger than for oil. However, just like in the oil case, the states not directly importing Russian gas will still experience a huge negative shock from such a price hike. (Recall also, that the variation of the impact across the Member States is likely underestimated here, as the gas bill does not account for potential rationing which may differentially impact the importers of Russian gas).
Second, the increase in the value of gas imports exceeds the scale of the price increase even for the least affected Member States (excluding Cyprus). This is due to the unprecedented gas price increase during the EU gas crisis that took place between late 2021 and the beginning of 2022. Due to this increase, the pre-invasion gas price in February 2022 was 60% higher than the average gas price in 2021.
Figure 6. Estimated effect of Russian natural gas ban on gas imports in 2022: value of gas imports, EUR bln (left axis), and gas import expenses relative to 2021 level (right axis).

Source: Eurostat, GazpromExport, Central Bank of Russia, author’s own calculations, see Footnote 1.
Conclusions
The above estimates suggest that a ban on Russian oil and gas imports is going to be costly for the EU. While uncertainty is very high concerning the possible energy price increase following such a ban, historical parallels together with the market characteristics suggest that both the price increase and the rise in the value of imports are going to be stronger for natural gas. The resulting increase in the EU-wide import values relative to 2021 ranges from 1.8 to 2.6 times for the considered oil scenarios, and from 3.7 to 5.5 times for the natural gas scenarios.
Unsurprisingly, the most sizable import costs will be faced by the larger EU Member States, as well as those most dependent on oil and gas imports. However, all EU countries are going to be affected due to the market price increase. While the relative rise in the import costs of oil and oil products will be fairly uniformly met across the EU states, the increase in the costs of gas exports will vary greatly, with the largest relative losses faced by the EU states that are currently more exposed to Russian gas imports.
The above figures provide a rough assessment of the potential costs of a Russian fossil fuels ban. The approach does not take into account substitutability between different fuels and resulting cross-effects on prices, which implies that the costs could be both under- and overestimated. It has a very limited and simplistic take on the demand reaction to a price increase, which again may lead to either over- or underestimation of the effect. Neither does it account for the consequences of such price increases on the costs of electricity and implications for the non-energy sector within the economies. The latter may, again, be differentially affected depending on the industrial composition and their relative energy intensity. Another factor to consider is the interconnectivity between the EU economies – for example, an increase in Germany’s energy bill is likely to have a large impact on the entire EU. Moreover, the use of the import bill as a proxy for the overall effect on the economy may have further limitations in the case of supply shortage and rationing. To provide a more precise estimate of the impact of such a ban on the entire economy, for instance on GDP, one would require an extensive and sophisticated model along the lines of the CGE approach, relying on large amounts of data (Bachmann et al. (2022) provide an excellent example of such a study of the effect on Germany). This, however, is beyond the scope of the current assessment.
Still, even this relatively simplistic assessment of import costs of a Russian energy ban offers sufficient food for thought for the discussion of the scale of damage across the EU Member States and the feasibility of oil and gas sanctions. For example, the assessment suggests that an oil ban is likely to yield relative parity across the Member States in terms of the increase in the 2022 oil import bill as compared to the 2021 level. This would imply that, were the EU to decide on a gradual sanctioning of Russian oil and gas, it would be easier to reach an EU-wide agreement on oil sanctions. In turn, moving away from Russian gas – due to either the decision to ban gas imports or retaliation from Russia in response to oil sanctions, -implies very uneven import cost exposure. Thus, to face the challenge of replacing Russian gas imports, the EU would likely need to implement some kind of energy solidarity mechanism.
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