Location: Global

Fleeing the War Zone: Will Open Hearts be Enough?

20220311 Temporary image

The invasion of the Russian Federation in Ukraine has resulted in the loss of lives and destruction of infrastructure and has forced millions to flee from the war zone. 

Program

By March 9th 2022 over 2,1 million people have found refuge outside of Ukraine and many more have been displaced within its borders. The UNHCR estimates the total number of those forced to flee Ukraine may grow to 4 million. 

Join the webinar on March 14 to discuss the consequences of the invasion for the Ukrainian population with:

Registration

The webinar will be available to join via the Zoom platform. However, registration is required. Please register via Zoom (click here). After registration, you will receive a confirmation email which includes the Zoom link and passcode.

Disclaimer: Opinions expressed during events, seminars and conferences are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Russian Oil and Gas: What to Expect?

20220310 Russian Oil and Gas

For decades Russian oil and gas have been an essential part of European energy imports. Now, two weeks into the fighting in Ukraine, there is an increasing concern that the flows of Russian oil and gas toward the west will be sharply curtailed, or even stopped, by an initiative of either party.


Program

This Thursday on March 10, Julius Andersson, Assistant Professor at the Stockholm Institute of Transition Economics (SITE), together with Chloé Le Coq, Professor at the Université Paris 2 Panthéon-Assas and Research Fellow at SITE, Sergej Gubin, Research Fellow at BICEPS, and Paweł Wróbel, Managing Director of the BalticWind.EU will discuss what the Russian oil and gas flow reduction means for global markets.

What are the likely implications of the Russian oil and gas ban for the EU? How oil and gas flow reduction can affect global energy markets? How big a problem is it for Russia? Join the webinar and learn more.

Registration

The webinar will be available to join via the Zoom platform. However, registration is required. Please register via the Zoom registration platform (click here). After registration, you will receive a confirmation email which includes the Zoom link and passcode.

Disclaimer: Opinions expressed during events, seminars and conferences are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

The Sanctions on Russia, and Their Impact on the Region

20220303 The Sanctions on Russia Image

As fighting across Ukraine escalates and the international community reacts, Stockholm Institute of Transition Economics (SITE) and the FREE Network invite you to join the webinar “The sanctions on Russia, and their impact on the region” on 3 March, 17:00 – 18:00 CET Stockholm.

The Sanctions on Russia, and Their Impact on the Region

Torbjörn Becker, Director of SITE will be joined by Larry Samuelson, Professor at Yale and Cowles Foundation, Lev Lvovsky, BEROC Research Fellow, Nataliia Shapoval, Chairman of KSE Institute and Yaroslava V. Babych, Academic Director of ISET Policy Institute and other experts with extensive policy experience for a live discussion about the economic effects of sanctions in Russia and the region.

Registration

Everyone is invited to join the webinar. Please use the Zoom registration platform to register (click here). After registration, you will receive a confirmation email which includes the Zoom link and passcode. Please also check the spam folder, not to miss the registration access details.

Disclaimer: Opinions expressed during events, seminars and conferences are those of the authors; they do not necessarily reflect those of the FREE Network and its research institutes.

Investing, Producing and Paying Taxes Under Weak Property Rights

20220124 Gas Crisis European Energy Image 05

Oil majors often choose to operate in countries with weak property rights. This may appear surprising, since the lack of constraints on governments may create incentives to renege on initial promises with firms and renegotiate tax payments once investments have occurred and, in the worst case, expropriate the firm. In theory, backloading investments, production and tax payments may be used to create self-enforcing agreements which do not depend on legal enforcement. Using a new dataset covering the universe of oil majors’ assets that started production between 1974 and 1999, we indeed show in a recent CEPR Working Paper (Paltseva, Toews, and Troya-Martinez, 2022) that investments, production and tax payments are delayed by two years in countries with weak institutions relative to countries with strong institutions. Extending the dataset back to 1960 and exploiting the transition to a new world oil order where expropriation became easier, allows us to interpret our estimates as causal. In particular, prior to the transition expropriations were not feasible, due to the omnipresent and credible military threat imposed by the oil majors’ countries of origin. As the new order sat in, a new equilibrium emerged, in which expropriations became a feasible option. This transition incited an increase in expropriations and forced firms to adjust to the new reality by backloading contracts.

The Hold-up Problem

In December of 2006, when the oil price was climbing towards new heights, the Guardian reported that the Russian government was about to successfully force Shell into transferring their controlling stake in a huge liquified gas project back into the hands of the government. While officially this was motivated by environmental concerns surrounding the Sakhalin-II project, most observers agreed that this might be considered a textbook example of the hold-up problem faced by oil firms when investing in countries with limited constraints on the executive. At its core, the hold-up problem refers to the idea that the government may renege on the initial promise and appropriate a bigger share of the pie once investments have been made. Obviously, this is not an oil-specific issue and concerns any type of investment in countries with weak property rights. Academics, who worked on resolving these issues, suggest the use of self-enforcing agreements (Thomas and Worrall, 1994). These agreements use future gains from trade (as opposed to third-party enforcement) to incentivize the governments not to expropriate. And while the theoretical literature has prolifically developed over the last 30 years (Ray, 2002), to the best of our knowledge no empirical evidence has been provided on the use and dynamic patterns of self-enforcing backloaded contracts.

Data and Sample

In Paltseva, Toews and Troya-Martinez (2022), we rely on micro-level data on oil and gas projects provided by Rystad Energy, an energy consultancy based in Norway. Its database contains current and historical data on physical, geological and financial features for the universe of oil and gas assets. We focus on the assets owned by the oil majors (BP, Chevron, ConocoPhilips, Eni, ExxonMobile, Shell, and Total) using all assets that started production between 1960 and 1999, leaving us with a total of 3494 assets. An asset represents a production site with at least one well, operated by at least one firm, and with the initial property right being owned by at least one country. Being able to conduct the analysis on the asset level is particularly valuable since it allows us to control for a large number of confounding factors and rule out several alternative explanations of our main finding.

Moreover, there are three advantages of focusing our analysis on the oil and gas sector in general and the oil majors in particular. First, the sunk investments in the development of oil and gas wells are enormous, making the hold-up problem in the oil sector particularly severe. Second, oil majors have been around for many years since all of them were created before WWII. This provides us with a sufficiently long horizon to capture backloading over time. Third, the majors are simultaneously investing in many countries which provides us the necessary cross-sectional variation in institutional quality. To differentiate between countries with weak and strong institutions, we use a specific dimension from the Polity IV dataset measuring the constraints on the executive. The location of all the assets disaggregated by firm as well as a binary distinction in a country’s institutional quality is shown in Figure 1.

Figure 1. Spatial distribution of assets and institutional quality

Note: Location and ownership of assets are provided by Rystad Energy. The executive constraint indicator is taken from Polity IV and we use the median from the period 1950 to 1975 to define whether the country is considered to have strong or weak institutions. The cut-off of 5 implies that roughly 1/3 of the countries are defined as having strong institutions and roughly 50% of all the assets which started operation between 1950 and 2000 are located in countries with weak institutions.

A Stylized Fact

For the empirical analysis, our variables of interest are investment, production and tax payments normalized by the respective asset-specific cumulative sum over a period of 35 years. The resulting cumulative shares are depicted in Figure 2. We focus on physical production which, in addition to being considered the most reliable measure of an asset’s activity, does not require discounting. Real values of investment and tax payment depict a very similar picture. Most importantly, the dashed lines illustrate that 2/3 of cumulative production shares are reached approximately two years earlier in countries with strong institutions, in comparison to countries with weak institutions. The average asset size does not differ significantly between these groups. Such delays are costly for countries with weak institutions. Our back-of-the-envelope calculation suggests that the average country loses around 120 million US$ per year due to the delayed production and the respective tax payments. We confirm that the two-year delay cannot be explained by geographical, geological or financial confounders such as the location of the well, fuel type or contract features.

Figure 2. Years to reach 66% of cumulative flows in 35 years

Note: We use the Epanechnikov kernel with an optimally chosen bandwidth to plot the cumulative production over the 35-year life span of the asset. We group countries into two groups with weak and strong institutions according to Polity IV. This figure contains assets that started producing between 1975 and 1999.

The Transition to a New World Order

To push towards a causal interpretation of the results, we exploit the global transition to a new world oil order. This change affected the probability of expropriations in countries with weak institutions while leaving countries with strong institutions unaffected. In particular, the post-WWII weakening of the OECD members as political and military actors provides a natural experiment of global proportions. Expropriations are first viewed as impossible due to the military threat of British, French and US armies, and then become possible due to a global movement aiming at returning sovereignty over natural resources to the resource-rich economies. In the words of Daniel Yergin (1993): “The postwar petroleum order in the Middle East had been developed and sustained under American-British ascendancy. By the latter half of the 1960s, the power of both nations was in political recession, and that meant the political basis for the petroleum order was also weakening. […] For some in the developing world […] the lessons of Vietnam were […] that the dangers and costs of challenging the United States were less than they had been in the past, certainly nowhere near as high as they had been for Mossadegh, [the Iranian politician challenging UK and US before the coup d’etat in 1953], while the gains could be considerable.” Consequently, the number of expropriations has grown substantially since 1968, marking the transition to a new world order (Figure 3). However, Kobrin (1980) finds that even during the peak of expropriations in 1960-1976, only less than 5 % of all foreign-owned firms in the developing countries were expropriated. We suggest that this is, at least partly, thanks to the use of backloaded self-enforcing contracts.

Figure 3. Transition to a new world order

Note: Data on firm expropriations across all industries from Kobrin (1984).

Indeed, focusing on the years around the transition to the new world oil order, we show that there have not been any differences in investment, production or tax payments dynamics between countries with weak and strong institutions in the early years of the 1960s. But investment, production and the payments of taxes started experiencing significant delays after 1968 in the countries with weak institutions, using countries with strong institutions as a control. Intuitively, the omnipresence of a credible military threat in response to an expropriation served as an effective substitute for strong local formal institutions and eliminated the need for contracts to be self-enforced and backloaded in countries with weak institutions. Once this threat disappeared, contracts had to be self-enforcing and investment, production and tax payments had to be backloaded to decrease the risk of being expropriated by the governments of resource-rich economies. Theoretically, these initial differences in contract backloading between countries with strong and weak institutions should disappear in the long run, because the future gains from trade need to materialize eventually. We confirm empirically that this point is reached on average 20 years after firms start a contractual relationship with a country.

Conclusion

We provide evidence that oil firms seem to backload contracts in countries with weak institutions. We show that such backloading appears in the data during the transition to a new world order since 1968, when firms were in need of a new mechanism to deal with weak property rights and the risk of expropriations. We estimate the cost of such delays to be around 120 US$ per country and year. While this cost is high, it is important to emphasize that in the absence of such backloading, forward-looking CEOs of oil majors would often choose not to invest in the first place, since they would anticipate the severe commitment problems (Cust and Harding, 2020). Thus, as a second-best, the cost of the backloading may be marginal compared to the value added from trade when oil majors are willing to invest in countries with weak institutions and questionable property rights.

References

 

[Postponed] Economic and Social Context of Domestic Violence

An image of broken glass representing perspectives of domestic violence

[Postponed until further notice]

The COVID-19 pandemic has amplified the academic and policy interest in the causes and consequences of domestic violence. With this in mind, the Stockholm Institute of Transition Economics (SITE) together with the Centre for Economic Analysis (CenEA) and the FREE Network will host a conference on the social and economic context of domestic violence.

Increases in Domestic Violence and “Shadow Pandemic”

Since the outbreak of Covid-19 in the spring of 2020, media outlets around the world have reported increases in domestic violence. United Nations secretary-general António Guterres has even referred to it as a “shadow pandemic”. Besides news outlets, academic researchers have also taken an interest in the issue, which is crucial to draw the right conclusions from the patterns visible in the statistics.

But more rigorous statistical analysis is needed for understanding not only the scale of domestic violence during the pandemic but also the broader socio-economic reasons which are behind this phenomenon in regular times, how it is perceived and what types of policies and regulations can be employed to limit it.

Conference and Keynote Lecture

The conference will combine presentations of academic papers and contributions from policy makers and interest groups. Both applied and theoretical contributions are welcome. The keynote lecturer will be Professor Bilge Erten (Northeastern University) and the conference is planned as a hybrid event with several sessions held at the Stockholm School of Economics and the entire program streamed online.

This event is organised as part of the Forum for Research on Gender Economics (FROGEE) supported by the Swedish International Development Cooperation Agency (Sida). 

Program and Registration

The full program and when the registration page will open will be announced soon.

202202012-pexels-anete-lusina-5723183-image-4-5

* Views represented during the events are those of the author(s) and do not necessarily reflect the views of the FREE Network, or its institutes and partner organisations.

Call for Papers: “Economic and Social Context of Domestic Violence”

20220307 FROGEE conference Image 01

The Stockholm Institute of Transition Economics (SITE) together with the Centre for Economic Analysis (CenEA) and the FREE Network, invite academic contributions focusing on the economic and social context of domestic violence.

Call for Papers

The COVID-19 pandemic has amplified the academic and policy interest in the causes and consequences of domestic violence. With this in mind, SITE, CenEA and FREE Network will host a conference on 7 March 2022 entitled Economic and Social context of Domestic Violence.

Both applied and theoretical contributions are welcome by the submission of extended abstracts (1-2 pages).  Selected authors will have approximately 20 minutes for their presentations. Online submission is open via site@hhs.se. For applications please use the subject: Call for papers submission: Economic and social context of domestic violence. Download the Call for Papers announcement in pdf-version <here>.

The deadline for applications is 15 February 2022. Notifications are expected by 20 February 2022.

Conference

Since the outbreak of Covid-19 in the spring of 2020, media outlets around the world have reported increases in domestic violence. United Nations secretary-general António Guterres has even referred to it as a “shadow pandemic”. Besides news outlets, academic researchers have also taken an interest in the issue, which is crucial to draw the right conclusions from the patterns visible in the statistics.

But more rigorous statistical analysis is needed for understanding not only the scale of domestic violence during the pandemic but also the broader socio-economic reasons which are behind this phenomenon in regular times, how it is perceived and what types of policies and regulations can be employed to limit it.

The conference organised on 7 March 2022, will combine presentations of academic papers and contributions from policy makers and interest groups. The keynote lecturer will be Professor Bilge Erten (Northeastern University) and the conference is planned as a hybrid event with several sessions held at the Stockholm School of Economics and the entire program streamed online.

The event is organised as part of the Forum for Research on Gender Economics (FROGEE) supported by the Swedish International Development Cooperation Agency (Sida).

Registration

The full program and conference registration page will open in the following weeks.

Paradise Leaked: An Analysis of Offshore Data Leaks

20220131 Paradise Leaked Image 01

In recent years, there have been several high-profile leaks of documents related to the offshore financial industry, such as the Pandora Papers released last year. Some of the data contained in the leaked documents have now been made public. In this brief, we discuss the advantages and pitfalls of using these data for economic analysis. We show that despite some caveats, there are patterns in these data that can shed light on a secretive industry. For instance, the number of offshore entities linked to a country increases significantly when that country experiences a change in political leadership. By contrast, financial sanctions on a given country result in a reduction in the number of established offshore entities. In the immediate aftermath of the financial crisis, many countries signed bilateral treaties with tax havens in order to promote transparency. Our analysis of the leaked data shows that the overwhelming majority of offshore entities are not governed by these treaties.

“… that I may see and tell of things invisible to mortal sight.”

John Milton, Paradise Lost

Offshore Tax Haven Leaks

Zucman (2013) estimates that household wealth held in offshore tax havens is equivalent to 10% of world GDP. While there are many legitimate reasons for wealthy individuals to use offshore financial services, the secrecy surrounding offshore holdings has also enabled tax evasion and money laundering. The international community has launched several initiatives trying to increase the transparency of offshore wealth holdings. Over the past decade, several large collections of documents from offshore financial service providers have been leaked to the media: Pandora Papers (2021), Paradise Papers (2017/2018), Bahamas Leaks (2016), Panama Papers (2016), and Offshore Leaks (2013). Investigative journalists have used information from the leaks to expose many instances of secretive financial dealings linked to political leaders. Examples from FREE network countries include: the connections between a close ally of Belarussian President Alexander Lukashenko and a gold mining venture in Zimbabwe, the offshore business holdings of past and present Ukrainian presidents and their respective allies, and the wealth of Russian President Vladimir Putin’s close associates and childhood friends (see, for instance, Cosic 2021, Mylovanov and Mylovanova 2016).

The International Consortium of Investigative Journalists (ICIJ) has made public information on more than 800,000 offshore entities that are part of the offshore data leaks (see ICIJ Offshore Leaks database). The data contain information on the names of companies or people who set up offshore entities, their country of origin, the offshore jurisdiction, and the dates of incorporation and deactivation for offshore entities.

What Can We Learn from the Data?

Despite the wealth of information that this database contains, there has been relatively little academic research using the offshore leaks data. Two notable exceptions are Alstadsæter, Johannesen and Zucman (2019), and Londoño-Vélez and Ávila-Mahecha (2021), who link information from the Panama Papers to administrative records from Scandinavia and Columbia, respectively. They find that tax evasion is concentrated among the richest households. Guriev, Melnikov and Zhuravskaya (2021) use the revelation of the Panama Papers to study its effect on perceptions of corruption.

There are several challenges to using the offshore leaks data for systematic data analyses. First, there are both legitimate and illegal uses of offshore financial services, and without further information, it is not possible to distinguish between them. Second, as this information is obtained through leaks at specific offshore services providers, the data are unlikely to be representative of overall offshore financial activity. Third, there is no information on financial transactions, and we do not know the amounts of money involved in the offshore entities. Finally, more sophisticated offshore structures may make it impossible to deduce the ultimate owner of each entity and its country of origin. Especially for the second and third reasons, economists have tended to focus on balance of payments statistics and cross-border bank deposit data when estimating flows to offshore accounts. For example, Andersen, Johannesen, Lassen and Paltseva (2017) show how the oil wealth of countries with weak institutions is diverted into secret offshore accounts. Becker (2019) investigates recent trends in Russian capital flows and shows that a significant share of Russian money flows to Western European banks. See also Nyreröd and Spagnolo (2018, 2021) for discussions of the role of European banks in recent money laundering scandals.

With these caveats in mind, Figure 1 shows the correlation between the number of offshore entities in the data (on the y-axis) and the offshore wealth holdings of each country’s households (on the x-axis) as estimated by Alstadsæter, Johannesen and Zucman (2018). While the chart shows a positive correlation of 0.56 between these two measures, it also illustrates that the number of leaked entities may be a poor proxy for the stock of offshore wealth. Countries with a significant fraction of offshore wealth in European tax havens are underrepresented in the leaks (e.g., France, Germany, and Italy) while the UK, Russia, and Latvia account for a disproportionate share of leaked offshore entities.

Figure 1. Number of offshore entities and estimated offshore wealth

Source: ICIJ Offshore Leaks database, Alstadsæter, Johannesen and Zucman (2018) and authors’ calculations.

Timing of Offshore Entity Creation

While the number of overall leaked entities per country might not be a perfect measure of the amount of offshore wealth, we find that there are systematic patterns in the timing of the creation of offshore entities. In particular, more offshore entities are created when individuals face political uncertainty in their own countries and fewer offshore entities are created by individuals from countries under financial sanctions.

Elections and Change of Leadership

Figure 2 shows the average number of newly incorporated offshore entities linked to a given country (on the y-axis), depending on that country’s political situation. Panel A shows no clear pattern of offshore entities being created by companies or individuals around the time of elections. Elections are often predictable and frequently result in the reelection of the incumbent government. In contrast, Panel B shows a clear increase in the number of offshore entities linked to a country around the time when that country experiences a change in the de facto political leader. Around four months before there is a change in political leadership, the average number of entities created per country per month almost doubles. Offshore entity creation falls back to normal levels typically around half a year following the transition of power. This pattern suggests that wealth leaves countries at times of political uncertainty and is consistent with the findings of Andersen, Johannesen, Lassen and Paltseva (2017) and Earle, Shpak, Shirikov and Gehlbach (2021).

Figure 2. Offshore entity creation and national political situation

Panel a. Elections

Panel b. Change of political power

Source: ICIJ Offshore Leaks database, The Rulers, Elections, and Irregular Governance (REIGN) Dataset and authors’ calculations. A change of power is defined as a change in the de-facto political leader (e.g., due to the incumbent losing an election or the collapse of a coalition government).

International Sanctions

Figure 3 shows the impact of sanctions from the United Nations, European Union, and the United States on the average number of offshore entities linked to a given country (on the y-axis). Panel A shows that when a country is subject to financial sanctions, the number of linked offshore entities created falls to around 10 per year from an average of 25 before the introduction of sanctions. The impact of sanctions can already be seen in the year before the start of the sanctions, which could reflect measurement and reporting errors or anticipation of the sanctions. In contrast, Panel B shows that trade sanctions that are not accompanied by financial sanctions have no significant impact on offshore activities. These charts suggest that financial sanctions may have some impact on how much capital can be moved from countries under sanctions to offshore accounts.

Figure 3. Offshore entity creation and international sanctions

Panel a. Financial sanctions

Panel b. Trade (without financial) sanctions

Source: ICIJ Offshore Leaks database, Global Sanctions Data Base and authors’ calculations.

Promoting Transparency

After the Financial Crisis in 2009, G20 countries compelled offshore tax havens to sign bilateral treaties to allow for the exchange of banking information under the threat of economic sanctions. More than 300 treaties were signed by tax havens that year. The effectiveness of this policy has been debated. For instance, Johannesen and Zucman (2014) show that the treaties lead to a relocation of bank deposits from compliant to less compliant offshore tax havens.

The G20 crackdown required each tax haven to sign at least 12 bilateral treaties. Relative to a comprehensive multilateral agreement, this policy had two limitations. Firstly, it leaves room for the diversion of funds identified by Johannesen and Zucman (2014). Secondly, tax havens were able to choose freely among potential partner countries – regardless of the underlying financial flows. Figure 4 shows that only a small fraction of the entities in the offshore leak database have a country of origin that signed a treaty with the tax haven in which they were incorporated. In addition, the small share of entities that will be subject to treaties suggests that havens did not always sign treaties with the most important counterparts. While the leaked entities may not be representative of offshore finance as a whole, this picture appears inconsistent with the OECD’s claim that “the era of bank secrecy is over” (OECD 2011)

Figure 4. Entity creation by treaty status

Source: ICIJ Offshore Leaks database, treaty events from Johannesen and Zucman (2014) and authors’ calculations.

Conclusion

A series of leaks over the past decade have exposed over 40 million documents related to the secretive offshore financial industry. Information related to over 800,000 offshore financial entities has been made public by the ICIJ. While a few high-profile cases received significant media coverage and gave rise to further investigations, the vast majority of references to networks of individuals, trusts, and shell corporations are difficult to decipher. This brief argues that, collectively, these leaked documents can be informative. They can be used to analyze the reasons for moving money offshore (such as domestic political uncertainty) as well as the constraints individuals face when doing so (such as international sanctions or bilateral treaties on bank secrecy).

In an effort to further increase transparency, 102 jurisdictions committed to a new standard for the automatic exchange of certain financial account information between tax authorities from 2019. Until such reforms are successful, leaks by whistleblowers are likely to remain a valuable source of information on the offshore financial industry.

References

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

Closing Wells: Fossil Exploration and Abandonment in the Energy Transition

Offshore Oil and Gas Platform representing Closing Wells

Despite ambitious climate goals and already substantial stocks of developed fossil energy reserves, development of new fossil energy reserves continues to be high. This raises concerns, as it reinforces the fossil industry’s opportunities and incentives to continue extraction, and may necessitate abandonment of developed fossil reserves to meet climate targets.

SITE Brown Bag Seminar

In the next SITE Brown Bag seminar, Researcher Inge van den Bijgaart will discuss the energy transition, considering fossil exploration and development activities. Inge van den Bijgaart and her co-author in their paper discuss conditions for when the fossil industry will abandon reserves, and establish that continued exploration of fossil resources is not incompatible with abandoning developed reserves. The first-best implementation of a carbon budget always involves reserve abandonment, and thus exploration that pushes developed reserves in excess of the remaining budget. A quantitative assessment reveals that a volume equal to 9-19% of current oil and gas reserves are optimally abandoned, and that, even under a 1.5 ◦C warming target, exploration of new reserves is justified for another decade.

Registration 

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.

For registered applicants, a Zoom link will be provided prior to the event via email with further instructions.

Speaker

Inge van den Bijgaart, is an Assistant Professor at the Utrecht University School of Economics. Inge’s primary research interests and expertise lie in the areas of environmental and resource economics and growth. Starting with her PhD research, she has developed a portfolio that spans several overlapping themes. These include climate policy and the energy transition, with a focus on the role of innovation and technological change.

* Views represented during the events are those of the author(s) and do not necessarily reflect the views of the FREE Network, or its institutes and partner organisations.

From Russia with Love?

Russia Moscow City representing money laundering

Some recently discovered money laundering schemes have funnelled large amounts of illegal money from former soviet states through European banks. This note briefly describes the evolution of the Anti-Money Laundering (AML) regime for financial institutions, the introduction of which was concurrent with the post-soviet transition and the connected illegal flows of funds. It discusses the effectiveness of the current AML regime – and its ability to detect and seize illegal funds. The brief also highlights some of its deficiencies as well as lack of compliance with its prescriptions. It proceeds to stress that after judging the current framework insufficient, the US recently introduced whistleblower rewards for AML-infringements. Europe might want to follow their lead if it really aims at limiting money laundering.

Introduction

In recent years significant deficiencies in Anti-Money Laundering (AML) compliance have been discovered in some European banks (Spagnolo and Nyreröd, 2021). A notable example is the Danske Bank case that emerged in 2018.   Some have called it the largest money-laundering scandal in history: it is estimated that about $230 billion in suspicious funds went through its Estonian branch between 2007 and 2015.

In several of these cases, the sources of a large fraction of the illicit assets were Russia or other former Soviet states (Shaffer and Cassella, 2020).

Prior to the Danske revelations, several schemes have been uncovered that were aimed at laundering illicit money from former soviet states into the western financial system.

In a classic example going back to 2006, about $230 million were stolen in fraudulent tax refunds perpetrated by officials in Russia and then laundered through Moldova, Latvia and then UK shell companies and banks (Browder, 2009). Famously, the tax lawyer Sergei Magnitsky investigated the theft and testified against the fraudsters and was later put in detention for the same tax theft he was investigating. About a year after he was arrested, Magnitsky passed away after allegedly being tortured and denied medical care. This tragic episode gave rise to the Magnitsky Act, which prohibits persons believed to be involved in the theft to enter the US and access its financial system.

Another famous (and partly related) case is the so-called Russian Laundromat (then Global Laundromat), a scheme estimated to have funneled over $70 billion of illegal money out of Russia, through Latvia, Moldova, and then the UK (Tofilat and Negruta, 2019).

Indeed, Russia is widely considered the country with the largest estimated amount of ‘dark’ money hidden abroad, both as a percentage of GDP and in absolute terms (estimated around $1 trillion by Novokmet et al., 2017).

However, the origin of money laundered in the transition region is not limited to Russia. For example, it is estimated that between 2012 and 2014, about $2.9 billion from Azerbaijan were illegally laundered through UK shell companies and then European banks.

Funds from all these schemes appear to have been transacted through Danske bank (Bruun and Hjejle 2018: 33), Swedbank (Clifford Chance 2020: 123), and other European banks.

This evidence warrants some reflection on the effectiveness of the AML framework, particularly in Europe.

The Current AML Regime

The development of the global AML framework has been largely concurrent with the transition from communism and the connected illegal flows of funds.

The Financial Action Taskforce (FATF) was formed in 1989, after an initiative by the G7. FATF’s mission is to develop policies to combat money laundering and blacklist countries that do not comply. The FATF issued its first recommendations in 1999 and continually updates them, most recently in FATF (2021).

These recommendations set out essential measures that countries should have in place to identify money laundering risks, including regulation on preventive measures for the financial and other sectors, powers and responsibilities for competent authorities, coordination of their actions, and the facilitation of international cooperation (FATF 2021: 7).

AML regulation requires financial institutions to know their customers and engage in due diligence to reduce the risk that they onboard criminals seeking to launder money. Information about suspicious transactions and activities should be forwarded to a national financial intelligence unit, usually the financial police. National Financial Services Authorities (FSAs) are usually responsible for enforcing compliance with AML rules – the “preventive” side of money laundering regulation. The “repressive” criminal law or “enforcement” side of the fight against money laundering is usually enforced by the national financial police (Reuter and Truman 2004, Svedberg Helgesson and Mörth 2018).

There are certainly valid questions to be raised regarding the effectiveness of the current AML framework. While the World Bank estimates that between 2 and 5% of global GDP is laundered annually, it is also estimated that less than 1% of the proceeds of crime laundered via the financial system are currently seized by regulators and law enforcement agencies (UNODC 2011: 7).

At the same time, the framework is quite costly to comply with. There have been six EU Directives related to AML. All require legal implementation and impose new demands on banks and other covered institutions. FATF also requires that its members frequently carry out National Risk Assessments, and countries are also subject to Membership Evaluation Reports which imposes additional costs. Compliance costs for banks are estimated in the billions of dollars (Spagnolo and Nyreröd, 2021), and a whole industry surrounding “AML Compliance” has emerged. Part of these costs, not only monetary ones, end up transferred to bank customers.

From a more rigorous policy evaluation point of view, the AML regime is also problematic. There is a remarkable lack of data for assessing the effectiveness of the framework relative to its objectives (see e.g., Halliday et al. 2014, Levi 2018, Levi et al. 2018, Pol 2018, 2020).

Bank’s Failures

A lack of compliance with this preventative framework has been widespread.  In Sweden, for example, most large banks have been fined for various degrees of AML deficiencies. Similarly, many banks in other European countries received fines from local and US regulators (in the order of billions of dollars) for failing to comply with this framework, including HSBC, Credit Suisse, Deutsche Bank (multiple times), BNP Paribas, MagNet Bank, and Barclays Bank. Since 2016, the US has issued AML-related fines on eight occasions to banks with headquarters in European countries for an aggregate amount of $1.7 billion (mean $217 million fine; data from violationtracker.org).

In the case studies we discuss in Spagnolo and Nyreröd (2021), most forms of internal controls failed to some extent. Whereas external whistleblowing was rare or non-existent, internal whistleblowers did not manage to rectify the problems either.

Simultaneously, there were often clear red flags that should have alerted board members and executives. At Danske Bank group, for example, returns on allocated capital in the non-resident portfolio at their Estonian branch, where a substantial part of the money laundering occurred, hit 402% in 2013, compared with the 6.9% average for the whole group, a clear red flag (Schwartzkopff, 2018).

Supervisor’s Failures

The extensiveness of AML non-compliance cannot only be traced to negligent banks – it also has to do with the ineffectiveness of the enforcement of AML rules by supervising authorities.

In the cases reviewed in Spagnolo and Nyreröd (2021), supervisors appeared by and large aware of at least part of the AML deficiencies. Oftentimes, banks were given warnings by regulators, yet continued to violate the same rules.

For example, both the Danish FSA and the Estonian FSA seem to have had some knowledge of the AML deficiencies at Danske Bank’s subsidiary already in 2007, with little consequences.

Coordination between regulators has also been poor. The Danish FSA argues that the primary AML oversight responsibility for the Estonian branch should be the local FSA (Finanstilsynet, 2019), while the Estonian FSA retorts that European rules are not as clear and that the Danish FSA at least has some responsibility to oversee the branches of Danske Group (Finantsinspektsioon, 2019).

On September 24, 2018, the European Banking Authority (EBA) opened an investigation to assess whether the Danish and Estonian FSAs have violated any European laws. On April 16, 2019, it voted to reject an internal draft into supervisory failings that allegedly identified several shortcomings in how Danish and Estonian authorities supervised Danske bank. (Brunsden 2019). The EBA supervisory board’s decision to close the investigation without adopting any findings drew criticism from a range of senior policymakers and spurred calls for its reform. The EBA has also been criticized for its reluctance to pass judgment on its members (Bjerregaard and Kirchmaier 2019: 38).

Conclusion

The limited regulatory enforcement and compliance with the current AML system are likely to only marginally increase the cost of money laundering for criminals. Policymakers should thus wonder whether the current system is delivering value for money. There could be different ways to improve it. Increased fines for non-compliance may for example induce covered entities to comply with the AML framework to a greater extent.

Moving forward, the inconsistent enforcement of AML rules has led experts and policymakers to suggest centralizing some supervision and enforcement of AML regulation at the EU level (Kirschenbaum and Véron 2018, 2020; Unger 2020; JPP 2019; EC 2020, p.8), and improving information sharing between supervisors.

We believe these measures may not be sufficient for facilitating compliance with AML, while imposing substantial enforcing costs.

One way to increase AML compliance at a relatively low cost could be introducing whistleblower reward programs, as done in the US early this year (Nyreröd and Spagnolo, 2021). These programs offer substantial monetary rewards, often in the order millions of dollars, for information on non-compliance, and have proven extremely effective in combating fraud against the government, tax evasion, and securities fraud. While national EU supervisors may not have sufficient resources or competence to manage such programs, centralized actors such as the European Commission appear able to do so. If we see more centralized supervision, together with increased resources and competence, a well-designed and properly implemented whistleblower reward program may become a highly effective way to fight money laundering in the EU.

References

  • Bjerregaard, E., and T. Kirchmaier (2019). “The Danske Bank Money Laundering Scandal: A Case Study.” Copenhagen Business School.
  • Browder, W (2009). “Hermitage Capital, the Russian State and the Case of Sergei Magnitsky.” REP Edited Transcript, Chatham House.
  • Bruun and Hjejle (2018). “Report on the Non-Resident Portfolio at Danske Bank’s Estonian Branch.” Danske Bank.
  • Brunsden, J. (2019). “EBA faces calls to reform after dropping Danske Bank probe.” Financial Times, April.
  • Clifford Chance (2020). “Report of Investigation on Swedbank AB (publ).” Swedbank.
  • EC (2020). “Communication from the Commission on an Action Plan for a Comprehensive Union Policy on Preventing Money Laundering and Terrorist Financing.” 7.5.2020 C(2020) 2800 final.
  • FATF (2021). “International Standards on Combating Money Laundering and the Financing of Terrorism & Proliferation: The FATF Recommendations.”
  • Finanstilsynet (2019). “Report on the Danish FSA’s Supervision of Danske Bank as Regards the Estonia Case.” Danish Financial Services Authority.
  • Finantsinspektsioon (2019). “Response to the Report on the Danish FSA’s Supervision of Danske Bank.” Estonian Financial Services Authority.
  • Halliday, T. C., M. Levi, and P. Reuter (2014). “Global Surveillance of Dirty Money: Assessing Assessments of Regimes to Control Money-Laundering and Combat the Financing of Terrorism.” Center on Law & Globalization. University of Illinois College of Law and American Bar Foundation.
  • JPP (2019). “Joint Position Paper by the Ministers of Finance of France, Germany, Italy, Latvia, the Netherlands, and Spain.”
  • Kirschenbaum, J., and N. Véron (2018). “A Better European Architecture to Fight Money Laundering.” Peterson Institute for International Economics. Policy Brief 18-25.
  • Kirschenbaum, J., and N. Véron (2020). “A European Anti-Money Laundering Supervisor: From Vision to Legislation.” Peterson Institute for International Economics, January.
  • Levi, M. (2018). “Punishing Banks, Their Clients, and Their Clients’ Clients.” In King, C., C. Walker, and J. Gurulé (eds.) The Palgrave Handbook of Criminal and Terrorism Financing Law. Palgrave Macmillan.
  • Levi, M., P. Reuter, and T. Halliday (2018). “Can the AML System Be Evaluated Without Better Data?” Crime, Law and Social Change, 69(2): 307–328.
  • Novokmet, F., Piketty, T., and Zucman, G. (2017). “From Soviets to Oligarchs: Inequality and Property in Russia, 1905-2016”, NBER Working Paper Series, nr23712.
  • Nyreröd, T., and G. Spagnolo (2021). “Myths and Numbers on Whistleblower Rewards.” Regulation and Governance, 15(1): 82–97.
  • Pol, R. (2018). “Uncomfortable Truths? ML=BS and AML=BS².” Journal of Financial Crime, 25(2): 294–308.
  • Pol, R. (2020). “Response to Money Laundering Scandal: Evidence-Informed or Perception Driven?” Journal of Money Laundering Control, 23(1): 103–121.
  • Reuter, P., and E. M. Truman (2004). Chasing Dirty Money: The Fight Against Money Laundering. Peterson Institute for International Economics.
  • Schwartzkopff, F (2018). “Danske’s 402% Return Should Have Raised Red Flag, FSA Says.” Bloomberg, May.
  • Shaffer, Y. and Cassella, S (2020). ” The Causes, Effects, and Manifestations of the Money Laundering Problem in the Former Soviet Union.”, Georgetown Journal of International Affairs, February 21.
  • Spagnolo, G., and T. Nyreröd (2021). “Money Laundering and Whistleblowers.” SNS Report.
  • Svedberg Helgesson, K., and U. Mörth (2018). “Client Privilege, Compliance and the Rule of Law: Swedish Lawyers and Money Laundering Prevention.” Crime, Law and Social Change, 69(2): 227–248.
  • Tofilat, S., and V. Negruta (2019). “The Russian Laundromat – a $70 billion money-laundering scheme facilitated by Moldovan political elites.” Transparency International Moldova.
  • Unger, B. (2020). “Improving Anti-Money Laundering Policy.” Study requested by the ECON Committee, European Parliament.
  • UNODC (2011). “Estimating Illicit Financial Flows Resulting from Drug Trafficking and Other Transnational Organized Crimes.” Research Report, United Nations Office on Drugs and Crime.

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.

Sustaining Global Value Chains

20211220 Global Value Chains Image 01

The Stockholm Institute of Transition Economics (SITE) together with Mistra Center for Sustainable Markets (Misum), Center for Asian Studies and Stockholm Sustainable Finance Centre (SSFC) cordially invite you to join a hybrid seminar together with Erik Berglöf, Chief Economist at Asian Infrastructure Investment Bank. He will present (in person) the Asian Infrastructure Finance 2021 report: Sustaining Global Value Chains. Berglöf will share the report’s conclusions on the nexus between supply chains and infrastructure development, highlighting the policies and investment needed to improve global value chains (GVCs) post pandemic.

COVID-19 and the Impact of Disruption to Global Value Chains

In early 2020, the sudden emergence of the coronavirus disease (COVID-19) brought first health and then economic shocks of such unprecedented scale and impact that the global community’s ability to withstand them has been severely tested. As these shocks hit country after country, virtually all industries and the flow of goods worldwide were disrupted. The impact of disruption to GVCs on normal business and people’s lives has never been so acutely felt.

The Asian Infrastructure Finance 2021 Report

Berglöf together with co-authors examines how Asian economies, to different extents and in different ways, have integrated global value chains (GVCs) into their growth models. The report emphasizes how critical infrastructure quality and capacity are to the agility and resilience of GVCs, as examined against the backdrop of the COVID-19 pandemic, increased trade tensions, rapid technological development, environmental pressures, and other factors. Using case studies and research, the AIF 2021 report illustrates how GVCs provide opportunities for countries and companies to become internationally competitive, in part through technological advancements and efficiency improvements. The report also highlights how GVC firms can drive decarbonization across countries and sectors and how green infrastructure, consistent with net zero transition, will become a source of competitive advantage and the key to sustaining future GVCs.

Erik Berglöf

Erik Berglöf, Chief Economist at the Asian Infrastructure Investment Bank (AIIB) and former director at the Stockholm Institute of Transition Economics. Berglöf is the AIIB’s inaugural Chief Economist. Prior to joining the Bank in September 2020, he was Director of the Institute of Global Affairs, London School of Economics, and Chief Economist of the European Bank for Reconstruction and Development from 2006 to 2015, where he was part of creating and co-led the Vienna Initiative, a European crisis response team credited with mitigating the impact of the 2008 Global Financial Crisis. He is an expert in transition economics and institutional transformation through private sector development. Berglöf is also the former Director of the Stockholm Institute of Transition Economics and a former Professor at Stockholm School of Economics.

Registration

The event will take place in a hybrid format and will be open to the public through digital channels. Please register via the Eventbrite registration form. The seminar will be held in room KAW at Stockholm School of Economics main building at Bertil Ohlinsgata 5. The date is December 20, 2021, and is preliminarily planned from 16.00-17.30, CET, Stockholm time. The seminar will be moderated by Torbjörn Becker, Director of the Stockholm Institute of Transition Economics. The report presentation will be followed by a Q&A session.

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.