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New Tools to Fight Corruption and the Need for Complementary Reform

High office buildings facing sky representing Institutions and Services Trade

Corruption remains a serious problem for most developing countries, undermining state capacity and incentives to invest besides social cohesion and democratic institutions. It is also an increasingly important problem for many highly developed ones. In Italy, for example, corruption has increased in the last decades and the parliament is now finally struggling to pass a (rather mild)”anti-corruption law”. Even in Sweden, a country constantly considered among the least corrupt ones in the world, the problem seems to be increasing according to a recent report by the Agency for Public Management (Statskontoret), which also suggests that the current legislation needs to be improved, for example by offering some form of protection to whistleblowers.

In most Central and Eastern European countries, however, the problem appears particularly serious. Corruption seems to have been rapidly increasing in the region this last decade (The Economist, April 11, 2011 ; Nations in Transit, editions 2001-2012), although there are some virtuous exceptions (for example Georgia and Estonia).

Corruption is often caused by, and at the same time, an instrument for political developments towards autocracy, such as those recently observed in some of these countries (limiting judicial autonomy, democratic participation and the free press). This suggests that in countries where these political developments are taking place we may expect a further worsening of the corruption problem in coming years.

A country that is apparently taking the fight against corruption seriously is India, where a strong grassroots anticorruption movement has developed. The issue has become central in recent political debates and several proposals have been put forward and debated in the parliament. Among these proposals is one by Kaushik Basu, the finance minister’s Chief Economic Advisor. He suggests – for a specific class of bribes paid to obtain a service to which one is entitled for – to treat bribe paying as legal while doubling the sanctions against bribe taking (Basu 2011). The logic behind this proposal is to create stronger incentives for bribe-paying individuals to report it to law enforcers and expose corrupt civil servants: reporting should lead to the restitution of the bribe, besides the conviction of the bribe taker.

Since this proposal was made last year, there has been a lively debate both at the Indian as well as the international level. The debate has however been rather informal, and involved some (voluntary and involuntary) misunderstanding of the proposal (see Dufwenberg and Spagnolo 2011 for a short account of this debate). The proposal has been deemed as “radical” by the proponent, and has sometime been treated and dismissed as a theoretical curiosity. In fact, the proposal is similar to existing legal provisions against corruption that have been in place for quite some time in several countries. The proposal is also related to other legal provisions widely used around the world to fight related forms of illegal transactions, in primis leniency policies now used by most antitrust authorities to fight price-fixing cartels, but also accomplice-witness amnesty and protection program against mafia-like criminal organization (see Spagnolo 2008 for an overview).

We know from academic research on these related revelation schemes that they can be very powerful if appropriately designed and administered, but they may fail or even be counterproductive if they are poorly designed or run (see e.g. Spagnolo 2004, Buccirossi and Spagnolo 2006, Apesteguia et al. 2007, Miller 2009, Bigoni et al. 2009). The exact details how these subtle mechanisms are designed and then actually implemented are crucial to their success.

Asymmetric Sanctions, Leniency and Whistleblowers

As earlier mentioned, the main idea behind Basu’s proposal for India, treating partners in corruption asymmetrically is not a theoretical curiosity. It is already present in milder form in the Russian, Japanese and German (violation-of-duty) legislation, where bribe payers face lower sanctions than bribe takers and in the way prosecutorial discretion is used in Anglo-Saxon countries. An analogous provision seems to have also been introduced in China in 1997, and its effectiveness has recently been questioned by some observers, although in a very superficial way. Unfortunately we have no serious evidence of how these legislations have affected corruption.

More generally, the idea of deterring a collaborative crime by shaping the incentives of criminal partners so that one of them has the incentive to betray the others and report information to law enforcers is well established. The Prisoner’s Dilemma story, where each among the partners in crime are promised a light sentence in exchange for cooperation to convict the other criminal partners is familiar to most countries’ standard law enforcement practice.

These schemes have been the main and most successful tool in the fight against mafia and political terrorism in Italy and other countries, and they are currently regarded as the most important and effective instrument in the hands of competition authorities in their fight against cartels (US Department of Justice, Spagnolo 2008, Acconcia et al. 2009).

Apart from law enforcement, analogous “divide and conquer” schemes have been widely used ever since the Roman Empire in war-related situations to break down enemies’ coalitions. They are tools that many do not like on moral grounds, because they induce distrust and betrayal of partners, which some people see as bad even when the betrayed partnership is a criminal one and distrust prevents the criminal activity.

Still related but somewhat different are the whistleblower protection (from retaliation) and reward schemes aimed at inducing innocent witnesses to report a crime. Reward schemes for whistleblowers have been used in the US since the civil war to limit corruption in federal procurement and to fight government fraud (through the False Claim Act, sometimes called the Lincoln Law from the president that introduced it). They have more recently been introduced by the IRS against tax evasion and by the Dodd-Frank Act against financial fraud.

When witnesses are working in the same organization as the wrongdoers, or when the latter are powerful individuals (besides being prone to commit illegal acts, like violent retaliation), blowing the whistle typically generates very harsh consequences for the witness; ranging from various forms of harassment in the organization, to the loss of job, isolation and directly or indirectly induced death.[1] Legal action is typically slow and uncertain but immediate, certain, and very costly, while whistleblower protection provisions are typically imperfect (if present). This is why, even with a relatively efficient legal enforcement system like the American, large rewards are seen as necessary and justified to induce more whistleblowing and compensation for its consequences.

Trust, Distrust and Corruption

In some sense, one can see Basu’s proposal of legalizing bribe paying for services one is entitled to (while doubling sanctions for bribe taking) as transforming potential accomplice-witnesses into potential innocent whistleblowers. The question is then whether this scheme will induce more people to blow the whistle and consequently fewer bureaucrats to demand/accept bribes. Some observers have suggested that this provision might instead induce more people to pay bribes because it makes it legal and thereby may erode moral norms against bribe paying.

In Dufwenberg and Spagnolo (2011), we argued that amending Basu’s proposal in a way resembling leniency programs used in antitrust, where immunity is awarded only if the wrongdoing is reported to the law enforcement agency, is one way to avoid sending the signal that bribe paying is now legal. The real problem for these schemes is therefore whether at the end they will really induce bribe payers to report.

The way these revelation mechanisms deter corruption is by generating “distrust” among potential partners in crime (Bigoni et al. 2012). By making it very attractive to report to law enforcers for one party and very costly to be reported for the others, these schemes may deter illegal cooperation by ensuring that the parties cannot trust each other.

However, for these schemes to generate distrust and produce their potentially strong deterrence effects, the risk that accomplice-witnesses and other potential whistleblowers report must be a real one. For this to be the case, whistleblowers must trust the law enforcement agency to which they report. The example of leniency policies in antitrust is illuminating. In the US, as long as competition authorities retained discretion, colluding firms rarely applied for reporting under the leniency program. It was only when the Department of Justice gave up discretion by making immunity “automatic” – subject to an explicit set of conditions being satisfied – and committed to this policy through published rules that firms started to again to report information on cartels.

Besides a high risk of being reported, for these schemes to elicit reports and produce deterrence it is also necessary that sanctions for convicted parties are sufficient. To continue the parallel with antitrust enforcement, even after the authorities gave up discretion on the programs, they are not inducing cartel members to report in other countries than the US.

Indeed, the most serious problem for the success of the Basu proposal, as well as for that of the leniency-based modification put forward in Dufwenberg and Spagnolo (2011), remains whether witnesses/bribe payers will trust the law enforcement agency to which they should report the crime. If the law enforcement agency is inefficient or also corrupt, reporting may lead to further harassment or worse, rather than protection and justice.

When protection programs are poorly administered and law enforcement agencies inefficient or corrupt, so that potential witnesses don’t trust law enforcement agencies, it becomes very difficult to induce whistleblowers to report, as well as dangerous for the whistleblower.

A second important reason why these schemes may fail to generate reports and to produce the intended deterrence effects is, as we mentioned, the low sanctions against bribe takers. Recent experimental results (in Bigoni et al. 2012) suggest that reporting incentives provided by leniency programs are only effective in deterring collusion if the sanctions for the convicted partners are sufficiently strong. If not, these schemes may have no effects or even perverse ones (they reduce the sum of expected sanctions, and because of their complexity, they could be manipulated; see e.g. Buccirossi and Spagnolo 2006). Basu did suggest doubling the sanctions for the bribe payers. This, however, may or may not be enough for the case at hand, and would require a more thorough evaluation.

Note than in the case of corruption, there is an additional reason for sanctions to be reinforced, in particular by the requirement to always remove from office the convicted bribe taker. The reason is that if the bribe taker is not removed from office after the report, bribe payers may fear that after whistleblowing the bribe taker may retaliate in future interactions.

Conclusions

Asymmetric sanctions as proposed by Basu (2011) and leniency conditional on reporting as proposed by Dufwenberg and Spagnolo (2011) have the potential to deter corruption in a systematic way.  Necessary conditions for this to happen, however, are that:

  1. Sanctions are sufficiently robust to ensure that the increased risk of being convicted because of a report by a whistleblower dominate on the lenient treatment offered to induce reports;
  2. Potential whistleblowers trust that the law enforcement institutions will act on the report and protect them from retaliation by the corrupt and their friends, rather than harass them.

Countries with sufficiently independent and efficient law enforcement institutions should definitely consider introducing or reinforcing their revelation schemes, asymmetric treatment or leniency conditional on reporting, to counter the current widespread increase in corruption.

Simply introducing these schemes in countries with weaker institutions, in particular with a low level of independence of law enforcement agencies, may do more harm than good: after all they imply reduced sanctions and their complexity makes them easily manipulated.

These schemes can be very useful for these countries, but only if they are introduced as part of a broader set of complementary reforms that include increased judicial independence and the creation of a specialized law enforcement unit with particularly high levels of accountability and independence, able to credibly offer to whistleblowers at least confidentiality and protection from retaliation, if not monetary rewards.

 

References


[1] The sad recent stories of Sergei Magnitsky in Russia and of S.P. Mahantesh in India clarify that this risks are real.

Putin and the Modernization of Russia – a Chimera?

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Vladimir Putin is once more the Russian President and a new government has been formed consisting of most of the same faces and mentality. Putin’s victory looks complete – yet there is a very real risk that it will be Pyrrhic. Even if the ‘managed’ political and economic system – rooted in a lack of competition and openness – that has been his defining project can remain stable, it will continue to sap the country’s vitality. In the election campaign, even Putin acknowledged the country’s lack of modern and competitive industries, as well as a business environment plagued by corruption, cronyism and excessive regulation. Yet, in calling for further modernisation of the economy, Putin has also called for more of the same policies, notably a central role for the Russian state in supporting new industries and technological leadership; a newly established State Corporation for Siberia and the Far East is a case in point. 

However, this very model has so far achieved very limited results. Oil and gas still account for nearly 70% of total merchandise exports and around half of the federal budget. While relying on publicly funded and managed entities – such as Rusnano – to shepherd the economy into more diversified and more productive spaces, particularly in high-tech activities, has also yielded a relatively meagre harvest. Rusnano itself has already acknowledged the limited portfolio of innovative projects to fund.

In the arena that provides the most compelling metric of competitiveness – export markets – relatively few Russian firms compete in international markets and very few do in higher value added trade. Ricardo Hausmann (2007) has argued that the products that a country exports also reflect the proximity of products and their reliance on similar sets of inputs, such as physical assets and knowledge or skills. Near the start of Russia’s transition it has been calculated that Russia had comparative advantage in only 156 out of 1242 product lines when using a 4-digit SITC classification. Most were natural resources. In contrast, China had comparative advantage in 479 product lines. And as regards proximity, few of Russia’s export products were closely connected to other products, meaning that there was limited scope for enhancing exports. Yet, by 2010 our research shows that there has been an increased concentration on natural resource exports. The contraction of manufacturing has, further, been associated with a fall in the number of Russian product lines with comparative advantage to 103. In contrast, the number for China increased in 2010 to 513. So, despite Putin’s rhetoric, the Russian export basket has become even more concentrated since the mid-1990s. Moreover, the ability to shift into proximate products, as well as diversify into new ones, remains very restricted. This is due to several factors.

A common diagnosis is that failings in the business environment are to be blamed. This is not a new complaint. While the options for limiting these constraints may not be straightforward but the broad policy direction and options are well understood. The challenge is in enforcement. In this – as also with improving governance and further reducing the role of public ownership – improvement is only likely to start with serious political commitment. That is still lacking.

But modernising the economy depends on much more than a good business climate. Critically, it depends on what sorts of skills and knowledge are available to the economy. Yet, even here where many have believed that Russia is relatively favourably situated, on closer inspection, the situation turns out to be far more problematic. In fact, our evidence indicates deterioration in the quality of both skills and education over time, including limitations on the supply of high quality management. Evidence from surveys suggests that Russian firms face problems in finding workers with the appropriate skill profile. While this may be the situation for existing firms, it seems likely that potential entrants to new, diversified activities may, if anything, face even steeper constraints. To understand whether this is indeed the case, the leading – 270 – recruitment firms in Russia were surveyed using face-to-face interviews in 23 locations in Russia, including Moscow and St. Petersburg. This included a small experiment looking at skills availability for work in more innovative activities, such as web technology aimed at social networking and marketing. The aim was to see whether innovative activities faced more binding constraints when trying to hire.

The results of this survey are unequivocal. Not only are there widespread skill gaps for all types of skills, but it takes firms a much longer time to fill vacancies for skilled personnel. This is particularly true for relatively innovative activities. Recruiting managers or high level professionals in the major Russian cities on average takes 3-5 times longer for innovative activity. Even in Moscow, recruiting a manager or high level professional would take between 3-4 times longer; the gap was yet greater in the Urals, Siberia and the Far East.

Moreover, looking at the sorts of skills that are lacking for each type of potential recruit (e.g., a manager); recruiters also report an absence of basic or essential skills. For example, lack of problem solving and management skills were overwhelmingly the most commonly cited limitations for managers, with high level professionals most commonly lacking both problem solving and practical skills. Among the consequences, many firms decide to postpone launching new products and/or modernizing plant.

In short, our evidence shows not only widespread skill shortages but also major barriers on the availability of personnel for firms wishing to establish new or relatively innovative activity. At the same time, anecdotal evidence also suggests that among the thin layer of top talent – likely to be essential for high tech and other innovative activities – many prefer to emigrate. In contrast, Russia fails to attract talent from other countries, not least because of a restrictive migration regime.

The last decade has seen an emphasis on modernising and diversifying Russia. The results have been depressingly limited. Yet Putin and his government propose more of the same. In effect, they are continuing to take a huge gamble by relying on a mix of energy prices and publicly funded industrial policy to paper over the structural weaknesses of the economy. As this article has shown, what Russia currently produces and exports – and the underlying skills and knowledge – provide a very weak base for achieving the goals of modernisation.

References

  • Denisova, I., and S.Commander, S.Commander and I. Denisova (2012), ‘Are skills a constraint on firms? New evidence from Russia’, EBRD and CEFIR/NES, mimeo
  • Hausmann, R., and Klinger, B., (2007), “The Structure of the Product Space and the Evolution of Comparative Advantage”, CID Working Paper No. 146
  • Volchkova, N., Output and Export Diversification: evidence from Russia, CEFIR Working Paper, 2011

 

Buyer Power as a Tool for EU Energy Security

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In this policy brief we address the recently revived idea of a common energy policy for the EU – an idea of the EU acting as a whole when dealing with energy security issues. We focus on a particular mechanism for such a common policy – the substantial “buyer power” of the EU in the natural gas market. We start by relating the “buyer power” mechanism to the current context of the EU energy markets. We then discuss the substitutability between “buyer power” and alternative energy security tools available to the EU.  In particular, we argue that two main energy security tools – the diversification of the gas sources and the liberalization of the internal gas market – may counteract such buyer power, either by decreasing the leverage over the gas supplier(s) or by undermining coordination. Thereby, investing both into diversification, market liberalization and energy policy coordination may be inefficiently costly. These trade-offs are often overlooked in the discussion of EU energy policy.

The security of energy supply has been part of the European political agenda for more than half a century – at least, since the creation of the European Coal and Steel Community (ECSC) in 1952. However, the Community’s view on the energy security policy and its desirable tools has been changing over time. In the early decades of European integration energy security issues were predominantly seen as belonging to the national competence level. Due to substantial variation in the energy portfolios and energy needs among the Member States, attempts to create a common energy policy were largely unsuccessful. The first large move towards a common energy policy came in the mid-1980s with the idea of developing a common internal energy market. The focus was on liberalization, privatization and integration of the internal markets, with an objective of achieving more competitive prices, improving infrastructure, and facilitating cooperation in case of energy supply shocks. In particular, the internal market was seen as a tool to (partially) overcome the disparity in the energy risk exposure among the Member States.  A considerable effort was put in this direction and a certain progress was accomplished.

The second half of 2000s has been characterized by a number of gas crises between one of the largest EU gas suppliers, Russia and the transit countries  – Ukraine (in 2006, 2007 and 2009) and Belarus (in 2004 and 2010).  These crises repeatedly caused reduction, and sometimes even complete halts, of Russian gas flows to the EU. As a result, the focus of the EU energy policy shifted towards measures ensuring the security of external energy supply. The policy debate has been stressing the dependency of the EU on large fuel suppliers, such as Russia in case of gas, and the need to lower this dependency. Suggested remedies included diversification of gas sources (in particular, away from Russian gas – such as construction of Nabucco pipeline or introduction of new LNG terminals), strengthening of the internal market, and more efficient energy use. The debate was further heated by the construction (and late 2011 launch) of the Nord Stream pipeline, which, according to popular opinion, would further increase the EU dependence on Russia.

In what follows, we address this external energy policy debate. We argue that the dependence per se is not necessarily dangerous for the EU and can be counteracted with due coordination between the Member States. Further, we argue that in dealing with large gas suppliers, there is certain substitutability between such coordination and other proposed energy policy measures, such as diversification of the energy routes or further market liberalization. Thereby, the EU would be better off by carefully choosing an appropriate mix of energy policy tools, rather than by getting all of them at once.

Indeed, the dependency of the EU on Russian natural gas is large. The share of Russian gas in the total EU gas consumption is around 20%,1 and for the group of EU Member States importing gas from Russia this share constitutes around one third.1  Furthermore, in a number of EU Member States – such as Austria, Bulgaria, Estonia, Finland, Lithuania and Slovakia – the share of Russian gas in total consumption is above 80%.3

However, it is important to remember that the dependency is mutual. The current share of gas exports to the EU of total Russian gas exports is around 55%,1 and these gas exports constitute around one fifth7 of Russian federal budget revenues. These observations suggests that the EU as a whole would also possess a substantial market power in the gas trade between Russia and the EU, and this market power can be exercised to achieve certain concessions.

More precisely, this situation could be viewed through a prism of what the economic literature refers to as “buyer power”. Inderst and Shaffer (2008) identify buyer power as “the ability of buyers (i.e., downstream firms) to obtain advantageous terms of trade from their suppliers (i.e., upstream firms)”.5 The notion of buyer power is typically used in the context of vertical trade relationship between a small number of large sellers and a few large buyers. As there are only a few agents, each with considerable market power, the outcome of such trade would typically be determined through some kind of bargaining procedure, rather than via a market mechanism. In such bargaining, the extent of buyer power depends on the seller’s outside option, or, in other words, on the ease for the seller to cope with a loss of a large part of its market.

Consider for example a single seller serving a few buyers. Intuitively, were there a disagreement between the seller and a small buyer, it should be relatively easy for the seller to reallocate the freed-up capacity to the remaining buyers, making each of them consume just a little bit more of a product. However, the larger is the freed-up capacity of the seller in case of a disagreement, the more difficult it is for the seller to reallocate this capacity to the rest of the market. Moreover, allocating this relatively large capacity to the remaining buyers is likely to suppress the price and lower the monopoly profits of the seller. Inderst and Wey (2007) show that, under some relatively standard modeling requirements, “the supplier’s loss from a disagreement increases more than proportionally with the size of the respective buyer”.6 In other words, an increase in the size of the buyer undermines the seller’s outside option, thereby weakening the seller’s bargaining position and allowing the buyer to negotiate a preferential treatment.

It is relatively straight-forward to see the parallels between this argument and the gas trade relation between the EU and Russia. In a sense, the buyer power theory provides an economic (rather than political) rational for the September 2011 European Commission proposal to coordinate the external energy policy in order to “exercise the combined weight of the EU in external energy relations”.2 At the same time, the large buyer mechanism also allows us to see more clearly, why such a coordination policy may come into conflict with the other proposed energy policy tools.

In particular, consider the diversification of the gas supplies across producers. The argument for the diversification is that it decreases the dependency on each particular supplier, thereby lowering the exposure to the idiosyncratic risks of these suppliers. However, lower volumes of gas imports from such suppliers imply a loss of the EU’s buyer power vis-a-vis these suppliers. This would worsen the terms of the respective gas trade deals or undermine the stability of the supply. Of course, this argument suggests by no means that a diversification strategy is useless or harmful for the EU energy security; however, one would need to account for the relative importance of lower dependency vs. lower buyer power in making the diversification decisions. In other words, the EU can achieve the same level of gas supply stability by investing either into further diversification of gas supply or into better coordination among the members. Trying to achieve both objectives at the same time may result in efficiency loss, at least from the gas supply security perspective. Importantly, this tradeoff has been largely overlooked in the discussion of the EU energy policy.

Another energy policy objective pursued by the EU in the last decades is the creation of an integrated and deregulated internal gas market. Again, the relationship between this energy policy objective and the buyer power is two-fold. On one hand, better integration of internal gas markets would help to even out the disparities in the gas supply risk exposure across the Member States, thereby facilitating cooperation and lessening the tensions between the energy security interests on the national vs. community-wide level. On the other hand, gas market liberalization and a push towards more competitive gas trade environment within the EU may come into conflict with the supranational coordination of buyer power. Once large state-run gas purchasing actors are dissolved and replaced by multiple private, not necessarily domestic, and possibly small market participants, it might be much more difficult, if at all possible, to achieve coordination in bargaining with the gas supplying side. As Finon and Locatelli (2007) argue, “if the major gas buyers are weakened in the name of the principles of short-term competition, their bargaining power and their financial capacity to handle large import operations would be reduced”.4 Moreover, there is a clear conceptual contradiction between coordination among gas buyers and the competitiveness principles of the European gas market. Again, this tradeoff needs to be taken into account in the common energy policy design.

Finally, it is important to mention that the “large buyer” argument is less relevant for the EU markets for other fuels, such as oil, liquefied natural gas, or coal. The key difference comes from the inherent structure of the gas market, as compared to the one of oil, coal, etc. Indeed, the EU imports most of its natural gas via pipelines, which makes it difficult for both sides of the deal to switch to an alternative partner. In other words, the natural gas market serving the EU is effectively a local market. Instead, fuels like oil, liquefied natural gas, or coal are traded more globally, and are much more fungible (that is, it is much easier to find an alternative supplier or a consumer). Global markets imply smaller market shares of the EU (indeed, the EU consumes only about 16 %1 of the world oil). This, coupled with better fungibility of oil, LNG, etc. undermines the power of the large buyer argument for other fuels.

To sum up, the EU has a noticeable potential for improving its position in the gas trade deals and enhancing the stability of its gas supplies. This potential comes from the large buyer power possessed by the EU in the gas market, and is in line with the long considered and recently revived idea of “one voice” common energy policy. At the same time, the extent to which the buyer power can be used as an energy policy tool may be limited by the other policy instruments, such as diversification of gas supplies, a shift towards LNG or alternative fuels, or internal market liberalization. This has to be taken into account in choosing the optimal energy security policy mix.

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.

Assessing Inflation Persistence in Belarus

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Author: Igor Pelipas, BEROC.

Generally speaking, inflation persistence can be defined as the speed at which inflation returns to its equilibrium level after a shock. Since 1995, the dynamics of inflation in Belarus is affected by the various internal and external shocks, which, in turn, cause the structural breaks in the corresponding historical data. The deep currency crisis in 2011 led to a huge increase of inflation, and reached a three-digit value. In the current year, the reduction of inflation is one of the most vital problems for the Belarusian authorities. In this context, the understanding of inflation persistence in Belarus is of great importance for appropriate monetary policy and macroeconomic stabilization measures. Additionally, the issue of inflation persistence is topical in the debates on the possibilities of inflation targeting in Belarus. There is an extensive body of literature on the inflation persistence in the US, the EU member states, and in other countries. Inflation persistence, however, has not yet been a subject of analysis in Belarus. In this policy brief, we have attempted to fill the gap by presenting the results of an inflation persistence assessment in Belarus.

Property Rights and Internal Migration

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Authors: Paul Castañeda Dower and Andrei Markevich, CEFIR.

Russia currently faces an important policy challenge related to relatively high levels of regional inequality. Regional imbalances that persist, especially in unemployment, reflect inefficiency and may lead to political instability. National capital and labor markets should work to correct these imbalances. This policy brief focuses on the labor market. In particular, why internal migration is relatively low in Russia, and suggests a new direction of policies to increase the mobility of the Russian workforce.

Interregional differences in income and unemployment remain high in Russia relative to the US and Europe (Andrienko and Guriev 2004). Figure 1 shows the change in unemployment for Russia’s regions between 1992 and 2007 plotted against the level of unemployment in 1992. We calculate the change in unemployment using 2007 since the global financial crises led to a different type of convergence, a widespread increase in unemployment. The absence of a downward slopping trend demonstrates that convergence across regions is not taking place.

Internal migration could solve regional imbalances in unemployment by matching unemployed individuals from areas with high unemployment to job vacancies in areas with more employment opportunities. In the US, for example, Blanchard and Katz (1990) show that regional economies adjust to region-specific shocks mainly through internal migration. However, disparities persist in Russia, in part, because of the lack of internal migration, which is relatively low compared to the US and Europe (Andrienko and Guriev 2004). It is not surprising then that a recent report by the World Bank (World Bank 2010) claims that Russians should be moving more within the country than they currently are, considering the economic costs and benefits of migration. The remainder of this policy brief discusses the connection between property rights and internal mobility in order to understand why the Russian labor market allows such high levels of regional disparities.

To address this issue, we look to the past since there is evidence from the late Tsarist period linking property rights to internal migration that has modern day policy implications. For most of Russia’s history, labor mobility has been restricted and controlled. Serfdom limited peasants’ mobility for centuries; restrictions survived after emancipation under the Russian repartition commune regime. The Soviet propiska system introduced in 1932 heavily regulated internal migration till the very end of the USSR and there are remnants of this propiska system even today. However, the extensive state control over internal mobility was not always the case. In the late Russian Empire, internal mobility was relatively unrestricted by the state and internal migration worked to correct regional imbalances (Markevich and Mikhaillova 2012). This historical period offers a good opportunity to investigate the economic causes of labor mobility in Russia without the veil of legal and political restrictions.

Figure 2 shows a startling pattern in the migration flows from the European provinces to the Asian part of the empire during this period. The sparsely populated regions of Siberia and Northern Kazakhstan that had abundant virgin land were attractive destinations for Russian peasants. We propose that an important factor in understanding the explanandum is the Stolypin agrarian reform, the timing of which is exhibited by the vertical dotted line in Figure 2. The annual number of migrating households was about 15,000 before the reform but dramatically increased to a level of 40,000 households per year after the reform. We argue that the reform increased migration flows largely because it improved the liquidity of peasants’ assets, providing greatly needed funds to finance migration.

The Stolypin titling reform can be thought of as a quasi-natural experiment through which one can judge the importance of financial constraints. For our purposes, the reform’s impact on liquidity is limited to forty-one European provinces (guberniya) where at least five percent of the rural population resided in repartition (peredel’naya) communes. The remaining nine European provinces, where few, if any, peasants were members of repartition communes, constitute the control group. The reform gave households the right to exit from repartition communes and convert their communal allotment to individual ownership of land recognized by a land title. The conversion to individual ownership improved the liquidity of land and made migration more attractive since migration no longer entailed losing one’s allotment and households could more easily sell their land allotments to finance migration.

Using a panel dataset of regional migration to the Asian part of the empire, we apply a difference-in-differences analysis using the distinction between treatment and control groups mentioned above. Our results indicate that 160,000 of the 441,000 households that migrated after the reform can be attributed to the reform. In other words, the relaxing of land liquidity constraints explains at least 18.1% of all post-reform Europe-Asia migration in the late Russian Empire. To understand how large of an impact the reform had, we make a back of the envelope calculation that yields an estimate of 0.12 percentage points of GDP growth per year or about 5% share of total economic growth during this period (Chernina et al 2012).

This historical evidence of the relative importance of liquidity of land for internal migration translates well into the contemporary policy discourse. After consulting both qualitative and quantitative studies on internal migration in Russia, Andrienko and Guriev (2005) conclude that “the most important barrier to migration is the underdevelopment of financial and real estate markets.” Figure 3 shows the relationship between growth of unemployment in a region and the share of privatization of residences using an added variable plot. Here, we condition the relationship on GDP per capita in 2000 and include federal district fixed effects in order to more closely isolate the liquidity effect of privatization. We use as base year 2000 instead of 1992 as in figure 1 because not all regions had initiated privatization until as late as the mid to late 90’s. While this correlation is not strong and is merely suggestive of an underlying relationship between private ownership and mobility, the graph illustrates that those regions with greater levels of privatization in 2000 subsequently experienced greater declines in unemployment during 2000-2007.

In summary, the ability of property rights to affect the financing of migration as well as the role that property rights play in the opportunity cost of migration calls for policymakers to include the issue of property rights when considering barriers to internal mobility. These findings fit well within the new economics of migration literature that criticizes and widens the previous narrow focus on wage differentials. In transition countries, these findings also point towards the importance of how privatization occurred. Different ways of organizing private ownership lead to different transaction costs incurred in buying and selling residential property. For example, in some former Soviet Republics, the privatization of individually owned apartments often did not fully specify property rights concerning the ownership of the apartment building and the internal structures that support the individual apartments. These ambiguities increase transaction costs and reduce the liquidity of the asset. Policies concerning internal mobility should therefore pay closer attention to the liquidity of Russians’ assets and how to improve it.

References

  • Andrienko, Y., Guriev, S. (2004). “Determinants of Interregional Labor Mobility in Russia.” Economics of Transition 12(1).
  • Andrienko, Y., Guriev, S. (2005). “Understanding Migration in Russia.” CEFIR Policy Paper Series 23.
  • Blanchard, O. and Katz, L. (1992) “Regional Evolutions”, Brooking Papers on Economic Activity, 1.
  • Chernina E., Castañeda Dower P., and Markevich, A. (2012) “Property Rights, Land Liquidity and Internal Migration” NES Working Paper.
  • Markevich, A. and Mikhailova, T. (2012). “Economic Geography of Russia” in The Handbook of Russian Economy. Oxford University Press, eds. Alexeev, M. and Weber, S.

The Effect of Municipal Strategic Planning on Urban Growth in Ukraine

FREE Network Policy Brief | Between East and West: Regional Trade Policy for Ukraine

Authors: Denys Nizalov and Olena NizalovaKEI.

In a downturn, the pressure is especially high on governments to produce sensible and effective development strategies to generate needed jobs and increased earnings. A large number of economic development tools were used in the past by local and national governments around the world, designed to facilitate regional and local economic growth. This brief presents the preliminary results from the evaluation of a program implemented in Ukraine.

Bradshaw and Blakely (1999) distinguish three historical waves of popularity for different tools used in economic development, with reference to the US states’ development policy:

  • 1st wave – Incentive-based competition for industrial location, so called smokestack chasing (direct incentives to firms, reimbursement of relocation and infrastructure costs, tax-breaks);
  • 2nd wave, from the early 80s – Cost-benefit-based assistance, focusing on internal growth (business incubators, start-up funds, trainings);
  • 3rd wave, over the last two decades – Building of a “soft infrastructure” (institutions) conducive to economic growth (strategic planning, marketing, public-private partnerships, financing, regulation, intergovernmental collaboration).

While the effect of the first two waves on various growth outcomes was studied extensively (for reviews, see Bartik 1991; Fisher 1997; Wasylenko 1997; Goss and Phillips 1999; Buss 2001) the effect of the policies representing the third wave is less known. There are several reasons for that. These policies were developed relatively recently, they are hard to measure and compare and are most likely to have a long run effect.

A unique example of a third-wave policy was recently evaluated in Ukraine. The Local Economic Development (LED) Project in Ukraine, started by the USAID in 2004, introduced a process of municipal strategic planning into the practice of local government decision making. This Strategic Planning process involves setting goals and priorities for community economic development and coordination of activities in different areas of community life. It also allows the establishment of partnerships among various stakeholders and interest groups, and the mobilization of public and private resources to facilitate economic development.

Until recently, the effect of municipal strategic planning has been assessed exclusively by case-studies. See for example, the cases of Randstad (Priemus, 1994), Lisbon (Alden and Pires, 1996), London (Newman and Thornley, 1997), Hong Kong (Jessop and Sum, 2000), Guangzhou (Li, Yeung, Seabrooke, 2005; Wu and Zhang, 2007), and Hangzhou (Wu and Zhang, 2007). Although the above mentioned cases describe the planning process and the perceived benefits in great detail, they do not address the question of whether the Strategic Planning causes a higher rate of community economic growth or not. There are several reasons for these limitations. The procedure of planning, beyond general similarities, differs greatly in the implementation details from case to case, which makes any comparisons complicated. Moreover, the decision to start the planning process in those cases is thought to be endogenous since cities that are more likely to benefit from strategic planning are also more likely to get involved in this.

The LED example is much more suitable for evaluation. The implementation of the strategic planning system in the participating cities has been performed using a standardized procedure with the help of LED advisors. With one exception, the implementation took from 4 to 12 months. Also, the selection of the participating cities was done by LED personnel based on clear participation rules. Altogether, the LED activities targeted the same goal in each city – FDI growth and creation of new jobs. Moreover, a relatively large number of communities – 74 cities from all regions of Ukraine – were involved in the project by mid-2008.

Internal reports point to a great success of the project. More than 30 cities had by mid-2008 reported an increase in FDI. Collectively, the partner cities reported $700 million of inflowing investment and an addition of about 12,000 jobs.

The impact of the LED project on the following outcomes was evaluated using more rigorous statistical procedures:

  • Number of businesses per capita;
  • Fixed capital investment per capita;
  • Number of jobs per capita;
  • Unemployment rate; and
  • FDI per capita.

It was found that the LED project had a positive overall effect on the number of businesses, fixed capital investment, and the number of jobs. In absolute values, the introduction of strategic planning lead to 6 to 12 new jobs per 1,000 of population, 18 to 50 new businesses per 100,000 of population, and 5 to7 million USD of investments in fixed capital per 100,000 (controlling for other factors of influence). However, differences in the project effect among the cities were found. The reasons for these differences in impact include:

  • the effect was observed at different points of time after the implementation of planning (1 to 45 month by Dec. 2008);
  • the cities had different implementation teams (composed of 6 advisors); and
  • the municipalities had different administrative subordination (58 cities and 16 small towns of rayon subordination);

The project effects on the number of businesses, fixed capital investment, number of jobs, and the unemployment rate increased each month. The administrative subordination affects only the effectiveness of investments and job creation: the effect is larger for cities than for rural towns. Team-specific differences are evident on all outcomes. This confirms that the implementation have a significant impact on the success of this intervention.

Finally, the effect of LED was compared to the effect of a similar project implemented in Ukraine by UNDP. Provided that the results presented above are robust, it turns out that the effects of the two projects introducing strategic planning are very similar in magnitude and significance.

References

  • Bartik, T.J., 1991. Who Benefits from State and Local Economic Development Policies? Upjohn Institute for Employment Research: Kalamazoo, MI.
  • Buss, T.F., 2001. “The Effect of State Tax Incentives on Economic Growth and Firm Location Decisions: An Overview of the Literature,” Economic Development Quarterly 15(1), 90-105.
  • Fisher, R.C., 1997. “The Effect of State and Local Public Services on Economic Development,” New England Economic Review March/April, 53-67.
  • Goss, E. and J. Phillips, 1999. “Do Business Tax Incentives Contribute to a Divergence in Economic Growth?” Economic Development Quarterly 13(3), 217-228.
  • Wasylenko, M., 1997. “Taxation and Economic Development,” New England Economic Review March/April, 37-52.

Do Economic Sanctions Work?

North Korean rocket displayed under a glass dome, illustrating the resilience of sanctioned regimes—an image exploring the question: Do Economic Sanctions Work?

Analysts have interpreted the recent openings in Myanmar and North Korea as the finally successful result of years of international pressure and economic sanctions. At the same time, debate is hot on the scope for similar measures in Iran, Syria, and, closer to us, Belarus and Hungary. Does economics have anything to say on this? What can we learn from the analysis of past experiences?

On February 29th, after decades of frustrating attempts by the outside world with sticks and carrots, but mostly economic and diplomatic isolation, North Korea announced that it would suspend its enrichment of uranium and its tests of weapons and long-range missiles. It would even allow an inspection by the International Atomic Energy Agency, the first one since the country walked out of the Nuclear Non-Proliferation Treaty in 2003. The recently inaugurated leader, young Kim Jong Un, asked, in exchange, some tons of food aid and the promise of talks. Some believe this was inspired by another recent unexpected “opening”: the turn-of-the-year developments in Myanmar, where a cease-fire and the release of many of the political prisoners prompted a slow but sure thawing in the country’s diplomatic relations with the rest of the world. Some months on, the government’s intentions to move from a military dictatorship to greater pluralism still seem sincere enough. Many have interpreted these events as the finally successful result of years of international pressure and economic sanctions on the two countries. Is the tide turning for sanctions enthusiasts?

At the same time, though, concerns are rising that EU member Hungary is moving in quite the opposite direction, after a change in the constitution that endangers the independence of the media, the judiciary and the central bank. Hungarians protesting in the streets are openly talking about authoritarian evolution drawing parallels with the behavior of the government in Belarus, which only months ago attracted harsh criticism – and stringent sanctions. Hungary might follow suit in this respect as well: its credit line with the IMF is still hanging from a thread, and the EU threatened law suit over the constitutional changes, while a potential limitation of the country’s voting rights in Brussels is whispered as the “nuclear option”.

Although the situation looks increasingly, explosive both in Syria and Iran, even in these cases the hopes of the international community rest exclusively on economic coercion. Syria’s economy is now under severe pressure, after even the Arab League imposed sanctions. This is first time such a decision is taken against a fellow member. Near all trade and financial relations have been cut off, with the exception of some banks in Lebanon and perhaps a few business friends in China and Russia that might still offer assistance to Bashar Assad’s regime. But the country’s foreign reserves, already low one year ago at the offset of the crisis, should be running out by now, and inflation is rising as many consumption goods become scarce. At the same time, although Saudi Arabia is arming the rebel groups, a military intervention sanctioned by the international community seems unlikely, given the recent Libyan precedent.

The sanctions faced by Iran over its nuclear program are also growing to unprecedented severity, and also in this case military action does not seem to be considered an option – except by (understandably) jumpy Israel. Given the stage that the nuclear program has reached, and the level of protection built around it, bombing is not likely to stop it. Experts say that a successful US-lead operation could at most delay it some ten years. Arguably, this would only result in an even angrier Iran equipped with nuclear weapons, in ten years from now. Hence it would appear much more fruitful to try to change the population’s attitude, so that Iranians themselves can in turn affect their political leaders’ attitude, even if this needs replacing the regime altogether. This way the prospect of a nuclear Iran would not look as scary.

As the international community considers over and over its stance in all these thorny situations, a legitimate question in everybody’s mind is: What is the likelihood that the sanctions will work? Does the economic literature have anything to say on this matter?

Achieving the Goal

According to Richard Baldwin, Professor of International Economics at the Graduate Institute of Geneva, “[i]t would be difficult to find any proposition in the international relations literature more widely accepted than those belittling the utility of economic techniques of statecraft.” In other words, a prominent scholar’s synthesis of the literature is that economic sanctions do not work. The anecdote most widely cited by advocates of sanctions is of course South Africa. The economic pressure imposed on the country in the mid-1980s certainly contributed to the strain that the inefficient and costly apartheid regime was increasingly suffering, finally leading to its dismissal. At the opposite end of the spectrum stands Iraq, where neither the comprehensive sanctions nor the oil-for-food program, in principle a quite clever combination of sanctions and aid, could achieve anything. The success of the following military intervention is also a subject of debate, though not one I will address here. Some have drawn the conclusion that the discriminating factor lies in how important for the target regime is the recognition of and identification with the sanctioning part. Others argue the probability that the sanctions succeed is linked to the cost born by the target, or by the sanctioning part (also called the sender), or other observable factors. If truth be told, these are both quite special cases, hard to generalize. But then again, one could argue that every episode involving international disputes is a special case. It follows that the systematic study of economic sanctions with the evaluation of their effects is not a straightforward task at all.

The first step to evaluate the success of imposed economic sanctions is to establish what the goal is. In the most basic terms, there are two types of explicit goals. In some cases, the imposition of an economic sanction is purely punitive towards a policy or act of a regime, or towards the regime itself, and aims at expressing disapproval from the initiating part, when inaction can signal complicity. Hoffman [8] was one of the first to suggest that “sanctions are mostly adopted to alleviate cross pressure situations, resulting when a (foreign) government faces demands for action but war is undesirable”. In this case, it makes little sense to talk about success or failure, as the imposition of sanctions is a goal in itself.

In the extreme case, this type of sanctions aims at destabilizing the target regime, inducing political change. This seems to be part of the aim of actions taken against Syria, although an end to the Iranian theocracy, and Lukashenko’s regime in Belarus, for that matter, would certainly be welcome as well. An analysis of the historical records from 1914 to 1989 [4] reveals that the probability of success with this goal has been 38% when the regime was very stable to start with and up to 80% in “distressed” countries. The single most important factor of success is hence, not surprisingly, the pre-sanctions stability of the political system in the target country. In some cases, paradoxically the imposition of sanctions stimulated political cohesion in the target country – the so called rally-round-the-flag effect. This is what seems to be happening, at least at this stage, in Hungary. The evidence suggests that there is a threshold of political cohesion above which external intervention strengthens the target government.  According to Lindsay [13], three factors make it more likely that sanctions produce political integration rather than regime collapse:

  1. If they are seen as an attack on the whole country rather than on a specific faction
  2. If identification with the sanctioning part is weak or even negative
  3. If no alternative to the sanctioned course of action is available or perceived as better

In this light, measures that can be manipulated to punish only or prevalently the regime’s domestic supporters and political base are to be considered as superior. Travel bans and freezes of assets, foreign bank accounts and property of functionaries are examples of this type of measures. Financial restrictions, in addition to be perceived as comparatively fairer, have also been more effective in the past. Moreover, also to the point that the sanctions should not, if possible, hurt everyone indiscriminately, they are preferable to measures that hurt the productive sector, like trade restrictions.

Alternatively, sanctions are designed to compel a specific policy change in the target country. This is the case of Hungary and its new constitution, and formally of Iran, which is only required to drop its quest for nuclear weapons. The emerging consensus in the sanctions literature is that concessions are most likely at the threat stage [11]. Nevertheless, there are cases where the threat of sanctions fails and sanctions are then actually imposed. And, although the success rate becomes lower at this stage, there are examples where the target yields only after the sanctions are imposed. It might seem tempting then to investigate whether observable variables can predict the likelihood of success in these cases, because this would teach us something about the current crises around the world. However, trying to understand when and why sanctions have success based on the analysis of empirical data is complicated by a number of challenges.

First of all, there are at least two sources of censoring in the sample of imposed sanctions: because it is only a specific type of disputes that reach this stage, the evaluation based on them will be biased. The first reason why these are special cases is due to the fact that imposed sanctions have already failed at the threat stage. Hovi et al. [9] look at this situation from a game-theoretic perspective and argue that, if sender and target are rational, a threat of sanctions could fail because of one of three reasons: 1) it is not credible, so no actual sanctions will follow the threat; 2) it is not sufficiently potent, meaning that the target considers sanctions to be a lesser evil than yielding; 3) it is noncontingent, i.e. the target expects sanctions to be imposed regardless of whether it yields or not. If any one of these is true, then the target that did not yield at the threat stage will not yield after sanctions are imposed either (or no sanctions will be imposed if alternative 1 is true). Imposed sanctions will work only if at least one of these factors is initially not known with certainty, or wrongly perceived by the target: if the target believes the threat non credible, but then sanctions are actually imposed; if the target was wrong in judging the cost of the sanctions and realizes it only after sanctions are actually imposed; or if the target thought that sanctions would be imposed regardless of its behavior, but is subsequently persuaded that, in fact, the sanctions will cease if it yields. Otherwise, with perfect knowledge and rational decision-making, sanctions that are actually imposed are bound to fail precisely because they were imposed, i.e. because they failed at the threat stage.

Further selection occurs even earlier than the threat stage. The literature has examined thoroughly how strategic interaction during the sanction episode affects sanctions outcomes and duration (for example, [15], [7], [14], [5], [6], [12]). Much fewer studies have undertaken the possibility that states also act strategically before episodes, when choosing whether to challenge the status quo and how much to demand of the target. Theories around this stage of the “game” are referred to as endogenous demand theories. Krustev [11] proposes the idea that perhaps “strategic demands can account for the widely cited discrepancy between the frequent use of sanctions and the modest success rate of these instruments”. His game-theoretic model has the implication that oftentimes sender governments strategically choose hard cases, because “the uncertain prospects that the target agrees to a large demand might outweigh the certain prospects of receiving minor concessions”. This also results in a low observed success rate.

Beyond the difficulties related to selection, another challenge that the analyst faces is to isolate the effect of sanctions. Usually, sanctions are not adopted in a vacuum, but rather complement other types of actions (e.g. diplomatic pressure, military action), which interact with the success of the measures. Similarly, there is the issue of unintended consequences, that also affect the costs on both parts, and hence the likelihood of success. Most importantly, some of these unintended effects might change the situation so drastically that talking about success or failure does not make sense anymore.

Unintended Consequences

Besides the success or failure with the specific goals they are intended to obtain, economic sanctions bring about a host of more or less foreseeable unintended consequences as well. One especially undesirable outcome of trade sanctions has recently been brought to attention from the analysis of former Yugoslavia [2]. Under a regime of import restrictions, private and public actors might be pushed towards the use of unlawful methods in order to avoid the sanctions and reach the international market through unofficial ways. An unhealthy cooperation between politicians, organized crime and smuggling networks might then establish itself and persist even beyond the duration of the sanctions.

This consideration speaks against isolating the target country from trade flows. A case in itself concerns, though, trades which already lie on the boundary of lawfulness and little contribute to the productive sector, such as arms traffic. These can and should be decisively stopped. Aside from the security benefits to such a move, this also has the potential to dry up a significant source of revenue for the contested leadership.

Be it on credit or on trade, it goes without saying that any restriction will hurt the economy. The political consequences of an economic downturn caused by the sanctions are not easy to foresee. Recent research on fragile states [3] studies the relationship between national incomes and two types of political violence: repression, i.e. unilateral violence by the incumbent government, and civil conflict, two-sided use of violence on the part of the state as well as insurgent groups. The link with the national income prospects is given by the consideration that both parts, deciding whether to resort to violence, evaluate the cost and benefits of violent action. The incumbent government has a cost-advantage, being able to dispose of the state resources. The costs for potential insurgent factions go down with deteriorating economic conditions, for example in presence of high unemployment, because then those involved have less to lose. Insurgence then becomes more likely. This theory is consistent with the last century’s worth of evidence, including the recent wave of revolutions in the Arab world, suggesting that countries seeing a decline in incomes move towards democracy considerably faster. The evidence is anecdotal, though, and more rigorous empirical analysis [1] revealed no significant pattern.

Moreover, the step between opposition insurgence and the establishment of a new, possibly democratic, regime might not be rapid at all, as the Syrian tragedy is reminding us of every day. The question is then whether the leverage of economic measures from outside is likely to make any difference during this phase. As analysts push for the political and logistical backing of the international community to the revolt in Syria, and as Saudi Arabia is arming the rebels, we must consider that also measures aimed at supporting eventual opposition factions, or the democratic system in general, might have undesirable consequences. Comparative statics in the context of the same theoretical framework referred to above show that, for example, the promise of financial assistance conditional on free multi-party elections may raise the incumbent’s perception of instability and hence raise the risk of repression and increased looting, unless combined with reforms to strengthen executive constraints. Even pressure for the release of political prisoners might set out a ransom system, with perverse incentives to taking more and more prisoners to be exchanged with economic assistance – this might still be a risk in Myanmar, given the abundance of political prisoners still held by the government.

Another important difference between trade and financial restrictions is that the former are likely to result in accumulation of debt. The burden of this debt, that the sanctioned regime is responsible for, will weigh on the future growth of the country, hence on future generations of taxpayers and potentially on a future government, which ideally should not be held accountable for the course of action chosen today by a contested leadership.  Alternatively, in the case of a collapse of the economy, the debt could be defaulted. This risk is on the countries or financial institutions that today lend money to the sanctioned regime. In other words, interrupting trade without at the same time closing the lines of credit would put the sanctioning part or third part lenders in the least desirable situation.

In some cases, the target has the possibility to resort to alternative lenders in third countries. Although this is preferable to a situation where the sanctioning part itself bears the risk on the debt, it is not ideal because it frustrates the sanctioning effort. An innovative proposal has been put forward by Jayachandran and Kremer [10], related to the legal doctrine of odious debt. They propose that any debt incurred by a particular regime, that could be argued to be contracted without the consent of the people and not for their benefit, is declared by some supranational institution illegitimate and nontransferable to successor regimes. This would create disincentive for lenders in third countries, and potentially eliminate equilibria with illegitimate lending. Even this type of loan sanctions hurt the economy and hence ultimately the population; however they create a long-run benefit for the population by preventing the accumulation of an unjust debt that today finances mismanagement, looting or repression and tomorrow has to be repaid by someone who never agreed to incur it. It would be very interesting to see this solution implemented in practice!

Conclusion

In short, sanctions are difficult to implement so as to reach the intended goal and minimize the unintended effects, but are maybe even more difficult to study systematically. International disputes are often complicated matters, situations that evolve over long time horizons. The traditional research question of when sanctions work might not be the most relevant one. Including in the analysis the strategic behavior occurring at the threat stage, and even before that, is a first step, although basing policy on the prediction that threats work better than sanctions does not strike me as a very useful conclusion.

The fact that evaluation is problematic and generalization almost impossible does not mean, however, that the study of sanctions is useless altogether. Economic analysis may still be informative for decision-making, and produce innovative ideas on the design of supranational institutions for conflict management, like the proposal on odious debt illustrates.

Bibliography

  • [1] D. Acemoglu, S. Johnson, J.A. Robinson, and P. Yared. Reevaluating the modernization hypothesis. Journal of Monetary Economics, 56(8):1043–1058, 2009.
  • [2] P. Andreas. Criminalizing consequences of sanctions: Embargo busting and its legacy. International Studies Quarterly, 49(2):335–360, 2005.
  • [3] T. Besley and T. Persson. Repression or civil war? American Economic Review, 99(2):292–297, 2009.
  • [4] J. Dashti-Gibson, P. Davis, and B. Radcliff. On the determinants of the success of economic sanctions: An empirical analysis. American Journal of Political Science, pages 608–618, 1997.
  • [5] H. Dorussen and J. Mo. Ending economic sanctions. Journal of Conflict Resolution, 45(4):395, 2001.
  • [6] D.W. Drezner. The hidden hand of economic coercion. International Organization, 57(03):643–659, 2003.
  • [7] J. Eaton and M. Engers. Sanctions: some simple analytics. The American Economic Review, 89(2):409–414, 1999.
  • [8] F. Hoffmann. The functions of economic sanctions: A comparative analysis. Journal of Peace Research, 4(2):140–159, 1967.
  • [9] J. Hovi, D.F. Sprinz, and R. Huseby. When do (imposed) economic sanctions work? World Politics, 57(4):479–499, 2006.
  • [10] S. Jayachandran and M. Kremer. Odious debt. The American economic review, 96(1):82–92, 2006.
  • [11] V.L. Krustev. Strategic demands, credible threats, and economic coercion outcomes. International Studies Quarterly, 54(1):147–174, 2010.
  • [12] D. Lacy and E. Niou. A theory of economic sanctions and issue linkage: The roles of preferences, information, and threats. Journal of Politics, 66(1):25–42, 2004.
  • [13] J.M. Lindsay. Trade sanctions as policy instruments: A re-examination. International Studies Quarterly, pages 153–173, 1986.
  • [14] T.C. Morgan and A.C. Miers. When threats succeed: A formal model of the threat and use of economic sanctions. In Annual Meeting of the American Political Science Association, Atlanta, GA, 1999.
  • [15] G. Tsebelis. Nested games: Rational choice in comparative politics, volume 18. Univ of California Press, 1990.

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.

Presidential Elections in Russia: Massive Vote Fraud Ensures that Legitimacy is in Doubt, but the Policy Direction is not

20181001 Losers and Winners of Russian Countersanctions Image 01

The March 4th, 2012, elections formally returned Vladimir Putin, the paramount leader of Russia since 1999, to the presidency. Despite Draconian restrictions on entry, financing, campaigning by other candidates, Putin’s dominance of TV, blatant use of state employees and funds to his own advantage, and significant vote fraud, the victory was underwhelming in the end. While the official tally was only 63.6 percent in Putin’s favor, estimates of his vote share by independent observers relying on networks of tens of thousands of volunteers were in the range of 49-57 percent of the turnout; even lower.  (If his share was truly below 50 percent, a run-off vote would have to take place between Putin and the runner up) The second major outcome of the elections was the successful attempt by civic society to ensure a fair vote count in Russia’s largest city and capital, Moscow, where Putin’s official vote share (45 percent) on March 4th was the same that United Russia achieved in the December 4th parliamentary elections. (Generally, Putin polls much higher than United Russia.) The third outcome was the emergence of Mikhail Prokhorov, a billionaire with negligible experience in politics, as a major political force representing large cities and young educated voters.

The Success of Civic Society in Moscow and Vote Fraud Elsewhere

The central issue in the wake of the March 4th elections is the extent of fraud organized by the incumbent. Massive fraud during the December 4th parliamentary elections generated mass protests in response. In total, hundreds of thousands of Muscovites took part in four large rallies held during this winter. (No political rallies of comparable size, except for the state-sponsored pro-Putin ones, have taken place during the last 15 years.) A similar discrepancy between the actual vote and official returns was expected to generate even larger protests this time round.

Despite dozens of reported and video-documented cases of organized groups brought in to Moscow to vote multiple times and the presence of tens of thousands of observers, public outrage after massive vote fraud in the parliamentary elections last December is likely to have prevented the most outrageous and blatant forms of fraud during these elections. No less important, it is also likely that they generated less directly observable forms of electoral manipulation. Not surprisingly, for Moscow, the vote count by Citizen Observer, Golos, and other independent and highly respected observer organizations nearly coincided with the official election results, certified by the widely despised Central Election Commission (CEC). (Since December, the name of the head of CEC, Vladimir Churov, has become a synonym for incompetence and of fawning loyalty to the incumbent.) This does not mean, however, that no fraud took place outside the capital.

Figure 1. Cross-plot of the United Russia (Putin) vote share vs. turnout in the December 4, 2011, parliamentary elections and the March 4, 2011, presidential elections in Moscow. (Courtesy of Alexei Zakharov, HSE and Citizen Observer, using the CEC data.)


A side effect of the fair vote count on March 4th, 2012, in Moscow was that it highlighted the extensive centrally-organized fraud in parliamentary elections held on December 4th, 2011. (See the December 2011 issue of the FREE Policy Brief for a snap analysis of the parliamentary elections.) Figure 1 shows that the suspicious-looking relationship between the turnout and the Putin-led United Russia Party, highly visible in December (top figure), completely disappeared in March (bottom figure). Thus, the strong correlation between turnout and the United Russia vote share is a result of ballot-stuffing rather than anything else (theoretically, such a correlation might be caused by some socio-demographic characteristics of United Russia’s supporters). Similarly, Figure 2 exhibits a “normal” (Gaussian) distribution of total votes for United Russia/Putin by turnout (this is what should be expected theoretically, and is consistently observed in democratic elections around the world) on March 4th (bottom figure) and an unusual distribution, a result of changed voting protocols on December 4th (top figure).

Figure 2. Number of ballots by turnout in the December 4, 2011, parliamentary elections, and the March 4, 2011, presidential elections in Moscow. (Courtesy of Maxim Pshenichnikov using the CEC data.) Note the spikes on 70,75,70,85, and 90 percentiles on the left graph, a result of “targeting” by election officials. 

Outside Moscow, the situation was different. Across the country, independent observers documented ballot stuffing and manipulation of local vote returns. St. Petersburg, the second largest city in Russia with a population of just over 4 million and the cradle of the “Putin’s team”, is a case in point. The preliminary estimates, based on a (nearly random for these purposes) sample of 269 polling stations (which is about 12 percent of the total number of station in the city), shows that the actual vote share for Putin was 50 percent rather than the officially reported 65 percent, while for Prokhorov it was 22 percent instead of 14 percent, and for Zyuganov 15 percent instead of 11 percent in the official tally. These estimates are based on the comparison between the official results as certified by the Central Electoral Commission with official copies of vote protocols signed by accredited observers and members of local electoral commissions at the polling stations. In other words, the discrepancy is a result of vote fraud at the level of the territorial electoral commission instead of more conventional forms of fraud, such ballot-stuffing at polling stations.

New Faces of Russian Politics

Three of the four competitors against Putin on March 4th were veterans of Russian politics. The Communist party Chairman, Gennady Zyuganov, lost presidential elections to Boris Yeltsin in 1996, Putin himself in 2000, and to Dmitry Medvedev, Putin’s figurehead “heir,” in 2008. (In 2004, the communists ran a minor candidate). Vladimir Zhirinovsky, a perennial nationalist candidate for presidency since 1991, has maintained a parliamentary faction for his one-man party for 20 years, but has never come close to winning the presidency. Sergei Mironov, a former Putin ally (in 2004 he ran for presidency with the announced goal “to help Putin win presidency”), was the main beneficiary of the December 4th, 2011, vote when many people supported his party primarily for the reason that parties they would have otherwise voted for were banned from participation. By official tally, Zyuganov got 17.2 percent (2nd place), Zhirinovsky 6.2 percent (4th place), and Mironov 3.9 percent (5th place). Despite the fact that these three have been on the ballot for a long time, they have never succeeded in presenting a genuine alternative choice for Russian voters at the polls and therefore posed no serious threat to Putin’s authority.

Mikhail Prokhorov, the 2nd richest person in Russia according to Forbes, ran a campaign that was watched warily by both Putin in Kremlin and Putin’s opponents in the liberal camp, and came in 3rd place with an official total of 8.0 percent. In Moscow, his result was even more impressive with 22 percent of the vote, second only to Putin’s 45 percent. While Prokhorov certainly benefited from the absence of Grigory Yavlinsky, who failed to clear the (unheard of in democratic countries) requirement to collect 2 000 000 signatures, and other liberal politicians, his results exceeded the previous combined returns of the liberal parties and candidates in parliamentary and presidential elections in 2000. The success of his candidacy have raised doubts on a long-held assumption in Russian politics that a rich, not to mention very rich, candidate has no chance of gaining traction in popular vote.

Another new face in Russian politics, Alexei Navalny has a law degree, business background, and was a member of the leadership in the Yabloko party (expelled in 2007) before becoming a famous blogger and shareholder activist in the beginning of 2010.  His blog (navalny.livejournal.com) is now one of the most popular blogs in Russia, with more than 66,000 followers. A major boost to its popularity was the “Rospil” project that focused on protecting minority shareholders of large state-owned companies (and, by extent, on the management of the taxpayers’ property by the Putin government). Navalny used his blog to organize large-scale petitioning and litigation campaigns related to corruption in state-controlled companies.  As a result of these activities, Navalny was described by the BBC in 2011 as “arguably the only major opposition figure to emerge in Russia in the past five years.”  (Obviously the BBC has not foreseen the rise of Prokhorov.) After December 4th, 2011, Navalny became a major leader of the protests and organizers of election observers.

“Staying the Course”

President-elect Vladimir Putin will start his new 6-year term in difficult times. The election raised questions about his true legitimate level of popular support, yet there is little doubt that he does not face any viable alternative challengers in the near future. Given that Putin has proven himself extremely rigid in the choice of policy and personnel (he would not get rid of close subordinates even if wide-spread corruption allegation would make them a visible drag on his popularity), the new government is not expected to be radically different from the current one (which features most of the ministers serving for 5-10 years in their current capacity). His anointed prime-minister is not a new face either. Dmitry Medvedev, who served as Russia’s president for the last 4 years, is not expected to bring forward any major policy changes.

Fortunately for Putin the opposition is not organized and cannot settle on any particular message or alternative policy direction, let alone viable leader. The protest movement during the winter of 2011-12 was characterized more by decentralized leadership, featuring a number of prominent literature, arts, and entertainment figures. With its goal to ensure fair elections, it has, however, united a very diverse group of smaller movements ranging from radical young communists to libertarians despite its not having provided an alternative leader to Putin.  In the end, the outcome of the March 2, 2012, presidential election has ended the myth of a significant Putin majority, casted considerable doubt on his legitimacy and has shown that Russians seem hungry for a change. It has, however, also left a big question mark on what the opposition’s next steps are and who the alternative could be.

Inflation Expectations and Probable Trap for Macro Stabilization

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As of today, a majority of the negative consequences of the deep Belarusian currency crisis of 2011 seem to have been realized. Hence, the Belarusian economy is now ‘purified’ from main macroeconomic distortions and has a chance for sustainable long-term growth. Nevertheless, there are signals that some nominal and real inertia may generate new shocks for the national economy. From this view, the money market is of great concern, while interest rates signal maintained high inflation expectations. High and unstable expectations may entrap monetary policy and generate new shocks for the Belarusian economy. In this policy brief, we deal with a visualization of inflation expectations and argue for the necessity of a new nominal anchor in order to stabilize expectations for future periods.

In 2011, Belarus experienced its highest inflation and devaluation in modern history. These were consequences of the automatic macroeconomic adjustment determined by a number of both long- and short-term distortions in the national economy. Changes in prices and exchange rate adjusted real parameters towards their long-run equilibrium level. Hence, from a long-run perspective, one may interpret these adjustments as favorable since they ‘purified’ the economy from the macroeconomic imbalances that may have hampered growth. Furthermore, shifting from exchange-rate (XR) targeting to a managed float is another essential aftermath of the currency crisis. Economic authorities had to recognize that accommodative monetary policy (MP) was not compassable with XR targeting since it resulted in a considerable overvaluation of the real XR, and correspondingly, an incredibly large current account deficit. Thus, the new exchange rate regime may be argued to be a new automatic stabilizer for Belarus, providing the level of current account balance consistent with other macroeconomic fundamentals. Overall, the current stance of the national economy might be treated as a chance to “begin again from the ground up”. In this sense, the Belarusian economy as of today is sometimes compared to the Russian economy after its crisis in 1998, which then performed particularly high growth rates.

In our opinion, realizing the opportunity for a strengthening of long-term growth through structural changes undoubtedly should become a policy priority of Belarus in the near future. However, it should be emphasized that despite “purification” from major macroeconomic imbalances, there are still a long list of short-term challenges. In particular, one may stress the risks of expansionary policy revival; increasing external debt burden; growth in non-performing loans, which may undermine the solvency of the banking system; reduction of foreign demand due to shocks in global economy. These risks are more or less observable and may be monitored. Hence, the realization of one or the other shocks from this list might not come as a surprise, and economic authorities seem to at least realize this, and when possible, take prevention measures.

At the same time, another challenge seems to be more adverse and urgent; namely, the question of inflation and devaluation expectations. In economic theory, expectations play a crucial role in affecting behavior of economic agents. Recognition of the role of expectations at the money market determined intention to “subject” and stabilize these within modern monetary policy frameworks.

In Belarus, given the recent history of high inflation and devaluation, corresponding expectations of Belarusian economic agents are likely to be rather high. Moreover, shifting from XR targeting to a managed float has not yet resulted in provision of a new nominal anchor for the public.

For instance, disinflation was declared to be a priority goal, but there are no strict commitments on its numerical value, as well as in respect to procedures and mechanisms to provide disinflation trends. As of today, the Belarusian MP regime can hardly be classified as a standard regime. The MP Guidelines for 2012 assume indicative targets on international reserves, refinancing rate and the growth rate of banks’ claims on the economy. The latter witnesses the propensity to monetary targeting. However, the instable relationship between the monetary aggregate to be targeted and the ultimate goal (inflation), as well as the indicative nature of this commitment give rise to doubts in respect to treating it as monetary targeting. Furthermore, commitment on bank claims on the economy can hardly be treated as a nominal anchor for the public. According to the taxonomy of MP regimes by Stone (2004), Belarus is currently closer to the weak anchor regime, which assumes “no operative nominal anchor…and central bank reports a low degree of commitment… and high degree of discretion”.

Thus, our hypothesis assumes that there has been an adverse shock in inflation expectations due to weak nominal anchor and recent experience of huge inflation. If that is the case, this may be an additional source of shock for the money market, which may cause a new wave of macroeconomic instability. In order to make policy recommendations, this hypothesis needs empirical support. However, it is difficult to identify expectations in empirical analyses since this variable is typically unobservable and cannot be univocally measured. Instead, expectations are most often treated indirectly through other variables. Many central banks deal with the results of sociological polls on this issue, but these approaches may suffer from different economic meanings and measurements of inflation expectations by economic agents.

An alternative approach was proposed by St-Amant (1996) and extended by Gotschalk (2001), who base on famous Fischer equation representing current nominal interest rate as the sum of ex-ante real interest rate and expected inflation. Further, based on the approach by Blanchard and Quah (1989), structural vector autoregression (SVAR) between nominal and real interest rate is identified with a number of restrictions, which allows decomposing changes in the nominal rate to those associated with ex ante real rate and inflation expectations. The latter may be used as a measure of inflation expectations. Such a measure of inflation expectations assumes explicit economic meaning referring to the money market, i.e. the rate of future inflation, which will provide the, by economic agents, expected level of interest rate. Taking the data from statistics (not polls) and international comparability of such estimates are important advantages of this approach.

We applied this methodology to Belarusian data (nominal and real interest rate on ruble households’ deposits with a term more than a year). The obtained time series measure changes in inflation expectations in the current period for a period of the next 12 months. However, our goal is to visualize the level of inflation expectation and not changes in expectation. Therefore, we use the series in levels, choosing January 2003 as the base period (when National Bank of Belarus actually shifted to XR targeting regime), and assigned a zero level (as starting one) to it. The obtained series of inflation expectations is provided in Figure 1.

Figure 1. Inflation Expectations in Belarus

The estimated series of inflation expectations show a decrease in 2003 – mid 2005, which may be explained by the effectiveness of the new nominal anchor (XR), and correspondingly the expected disinflation. The expectation of reflation in late 2005 till late 2007 may be explained by the more expansionary policy and changes in Russian preferences that took place during this period. After that, there was a period of stable expectation, which is likely to be explained by the credibility of the nominal anchor (nevertheless, there was a shock in late 2008 that is associated with the impact of the global crisis).

The most considerable shock took place in the beginning of 2010, which has a lack of intuitive explanation and might be associated with a phase of radically expansionary policy.

Finally, a new significant shock took place in late 2010 – beginning 2011 which might be associated with the visualized problems at the currency market at that time.

Currently, there is a very high level of inflation expectations and its increased volatility in the second half of 2011 seem to be of a great importance. It signals that economic agents do not treat price shocks as a single-shot, but mostly tend to consider it as a long-lasting process. Hence, the absence of a nominal anchor and the fresh memory of huge inflation seem to be responsible for the current high and instable inflation expectations.

Maintenance of high inflation expectations is a dangerous threat for the money market. Propagating inflation through expectations may be considered as a separate channel within the monetary transmission mechanism (along with interest rate, exchange rate and bank-lending channels). In other words, even without additional fundamental preconditions for inflation, inflation expectations may become a self-fulfilling prophecy.

However, during the last two months (December 2011 and January 2012) this adverse effect seems to have been suppressed by monetary authorities, as the monthly inflation rate reduced radically in comparison to average rate in May-November 2011. This is likely to be the outcome of the significant monetary policy tightening that has resulted in a sharp increase in nominal interest rates by banks. On the one hand, such nominal interest rate complies with the shocks in inflation expectations and real ex ante interest rate (the latter grew as well at the background of the crisis). In other words, current level of nominal interest rates will equalize ex post real rate with ex ante real rate if the actual inflation rate has been as high as current inflation expectations. But on the other hand, if actual inflation had been much lower than expected one (and it tends to be so, in case of keeping on conservative MP), ex post real rate would be much higher than the ex-ante one. For instance, such a situation has already been peculiar during December and January: according to our estimations, ex ante real interest rate in December was about 3.6% in annual terms (preliminary data on January shows that it in this month it is rather similar), but annualized ex post real rate for these months is about 30%.

This suggests that there is a trap for the monetary authorities. If they keep high interest rates, based on the expected inflation, the impact of expectations on actual inflation will be mitigated, but the losses, say in terms of output, will be high because of the extremely high ex post real interest rates. If the monetary authorities facilitated the rapid reduction of nominal interest rates, current nominal rates would not guarantee ex ante real interest taking into consideration the high inflation expectations, which would then constitute a severe shock for the money market. Hence, the mechanism of self-fulfilling prophecy would work.

Furthermore, the increased ex ante real rate (and high probability of even higher ex post real rate in national currency) could give speculative incentives for a number of economic agents. For example, many agents could increase the share of national currency in their savings portfolio, either avoiding buying hard currency (which took place during the peak of the currency crisis) for new deposits, or changing the nomination of their deposits to the national currency (i.e. selling the hard one). In a sense, this trend may be interpreted as the compensation of losses on ruble deposits in the last year, which is needed to revive the demand for such deposits. But in any case, these internal processes (along with restricting money supply by the National bank) influence the domestic currency market. Through this, the supply and demand are formed not only due to current and financial international flows. Hence, due to these incentives for hard currency supply and demand, the current value of the nominal rate may substantially deviate from the equilibrium rate. The latter may be defined as in Kruk (2011): the one that may clear the market immediately (given short-term trends in current account flows at the background of medium-term values of other fundamentals).

Figure 2. Actual and Equilibrium Exchange Rate

Note: For 2010Q1-2011Q1 official rate of the National bank is taken as actual nominal rate, for 2011Q2 the exchange rate at the ‘black market’ (used by internet shops), and for 2011Q3 ‘black market’ and later the exchange rate of the additional BCSE session are taken.

The assessments of the equilibrium exchange rate based on this methodology (Kruk (2011)) show that in the third quarter, the actual rate almost equals the equilibrium rate. For 2011Q4, all necessary data is not available yet, but an approximate assessment correction of the equilibrium rate of the Q3 for average inflation between Q3 and Q4 may be used (i.e. in real terms the rate should not have changed in order to sustain equilibrium). Such an assessment indicates that the actual rate in the Q4 is again overestimated by roughly 5-10% in comparison to the equilibrium rate.

At a first look, such an ‘overhang’ at the domestic currency market seems to not be a great problem. But along with the trap stemmed from the high and unstable inflation, this may contribute and propagate possible shock at the money market. Furthermore, this ‘overhang’ is due to speculative incentives, which in turn, are due to high inflation expectations. Hence, high and unstable inflation expectations are a prime cause of this ‘overhang’.

Finally, we may argue that unfavorable inflation expectations is a multidimensional problem, which generates grounds for shocks at the money market and entraps monetary policy at the current stage. Therefore, restraining inflation expectations must currently be an absolute and unconditional priority of economic policy.

This gives rise to the issue of which policy tools that are needed for solving this problem. Tight monetary policy alone may not be enough and/or its losses in terms of output may be unacceptably high, especially taking into account that keeping the Belarusian economy depressed is likely to cause huge migration and thus reducing the prospects for long-term growth.

Our view on the problem of inflation expectations supposes that they stem both from recent experience of very high inflation and the absence of nominal anchor. Inflation memory cannot easily be removed, but introducing a new nominal anchor seems to be worthwhile. Among possible options, given the desire to preserve autonomous monetary policy in Belarus, the introduction of inflation targeting (IT) is seen as inevitable. A shift to this regime is associated with plenty of obstacles and might not be realized immediately (Kruk (2008)). A gradual shift to IT through its intermediary phases (so called IT Lite) is more expedient and complies more with the requirement of obtaining new powers and capacities at the National Bank of Belarus.

Taking on more and more strict commitments in terms of inflation and implementing mechanisms and procedures peculiar for IT (the latter is even more important than commitments themselves) will increase credibility and public trust for the National bank. The other side of the coin involves decreasing and less volatile inflation expectations, which do not challenge monetary policy and facilitate low and stable inflation. Another advantage of IT is the possibility to mitigate price shocks.

Our main policy recommendation is therefore that it is necessary to shift to an IT framework as soon as possible, starting from exploiting the forms of IT Lite. The advantages of this step overweigh all the obstacles, including those associated with the reluctance of economic authorities to change institutional preconditions.

However, one important clause should be emphasized. Shifting to IT (especially gradually through IT Lite) does not guarantee that current high inflation expectations will be reduced automatically and immediately. In other words, it does not guarantee that the cost of reducing inflation in terms of output will decrease (though for the present Belarusian situation there are grounds to suspect that it would facilitate). For instance, Mishkin (2001) shows that “there appears to have been little, if any reduction, in the output loss associated with disinflation, the sacrifice ratio, among countries adopting inflation targeting… The only way to achieve disinflation is the hard way: by inducing short-run losses in output and employment in order to achieve the longer-run economic benefits of price stability”. However, an introduction of IT assumes that new shocks in inflation expectations may be prevented, and due to it, low and stable inflation will be more likely.

References

  • Blanchard, O., Quah, D. (1989). The Dynamic Effects of Aggregate Demand and Supply Disturbances, American Economic Review, Vol. 79, No.4, pp.655-673.
  • St-Amant, P. (1996). Decomposing US Nominal Interest Rate into Expected Inflation and Ex Ante Real Interest Rates Using Structural VAR Methodology, Bank of Canada, Working Paper No. 96-2.
  • Gottschalk, J. (2001). Measuring Expected Inflation and the Ex Ante Real Interest Rate in the Euro Area Using Structural Vector Autoregressions, Kiek Institute of World Economics, Working Paper No.1067.
  • Mishkin, F. (2001). From Monetary Targeting to Inflation Targeting: Lessons from Industrialized Countries, World Bank, Policy Research Working Paper No. 2684.
  • Kruk, D. (2008). Optimal Instruments of Monetary Policy under the Regime of Inflation Targeting in Belarus, National Bank of Belarus, Materials of International Conference “Efficient Monetary Policy Options in Transition Economy”, pp. 305-322.
  • Kruk, D. (2011). The Mechanism of Adjustment to Changes in Exchange Rate in Belarus and its Implications for Monetary Policy, Belarusian Economic Research and Outreach Center, Policy Paper No. 004.

Is Regional Policy Effective in the Long Run? Learning from Soviet History

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Regional inequality has been a pressing issue in many countries, and also between the countries of the European Union.  Unequal economic development, where some regions develop successfully and prosper while other regions stagnate, is often viewed as a source of social instability and economic inefficiency. Many kinds of regional policy have been proposed in order to mitigate such a situation by promoting growth in lagging regions. The policies range from subsidies and favorable tax policies for business investment to large-scale government investment projects.  The ultimate goal of all regional policies is to create an environment for sustainable growth in regions that have fallen behind. In theory it might appear that a policy, which is implemented during a specific period of time, would be sufficient to achieve sustainable development:  subsidies or creation of infrastructure would lure firms into a region and create a favorable environment for economic agents (both firms and people). The temporary policy would create agglomeration externalities that would ensure sustainable development even after the policy is discontinued.

However, are such regional policies in fact successful?  Researchers often observe a short-run impact, but it is less clear whether regional policy can make a difference in the long run. From the literature on historical “natural experiments”, we know that spatial structures of economic activity are very resilient to temporary impact. For example, the wholesale destruction and loss of life in WWII seems to have had little or no effect on the regional shares of population and manufacturing in the long run. On the other hand, significant and permanent (or long-lasting) changes to market access, such as the division ofGermanyafter WWII, do reshape the spatial economy in the long run.

Our study looks at the long-run patterns of Soviet city growth in light of Stalin’s industrialization and WWII. The Soviet government’s investment decisions during that period were dictated to a large extent by military strategy and ideology. Massive relocation of productive resources from west to east before, during, and after WWII represents a unique natural experiment, in which production factors were destroyed in some parts of the USSR, while new production facilities and infrastructure were created in other regions of the country. Using a unique dataset, we test whether Gulag camps, wartime evacuation of industry, and location near the war front had a long-run effect on city size.

In the 1930s-1950s, Stalin’s system of penal labor camps (the Gulag) was widely used as a source of cheap labor, especially in remote locations where there was no other available labor force. Penal labor was used in a variety of sectors (logging, mining, manufacturing and construction). Presence of a camp near a city or town usually meant that this location was chosen by the Soviet government for an investment project. We trace the impact of having a camp nearby on city growth from 1930 to the present day.

Evacuation of enterprises from western to eastern regions of the USSR (to avoid their possible capture by the advancing German army) is traditionally named among factors that determined post-war growth of cities in the Urals andSiberia. Indeed, data show that the majority of evacuated enterprises never returned to their original location in the westernUSSR. Western cities that sent enterprises into evacuation often lost their significance in the immediate post-war period. We test whether evacuation affected the growth of cities in the longer run, ceteris paribus.

Unfortunately, no detailed data on deaths and destruction in Soviet cities during WWII are publicly available. We therefore measure the impact of wartime damage by constructing a set of indicators for cities that were occupied or were close to the front line during WWII.

The results show that (controlling for pre-war city size, rate of growth, and geographical location) occupation and location 30 km or 200 km from the front line do have a negative and statistically significant effect on city size by 1959. However, this effect disappears by 1970. This is consistent with findings forJapanandWestern Germany, where pre-war trajectories of city growth were restored after 25-30 years.

Surprisingly, the result is roughly the same for cities which hosted evacuated enterprises. Controlling for pre-war size and growth rate, geography and presence of Gulag camps, cities that received evacuated plants grow faster until 1959, but the difference is not statistically significant in 1970 and later. Thus, contrary to the commonly held belief, the effect of evacuation was only temporary.

By contrast, the presence of a Gulag camp increases city size in a long time horizon. Gulag cities grow faster not only in the 1930s-1950s when the Gulag system was operational, but also in the 1970s and 1980s. On average, the Gulag effect only disappears in the 1989 population census.

Specialization of the camp also makes a difference. Effect on city population from a camp where prisoners were involved in agriculture or logging is short-lived. Such camps were not used to build capital or infrastructure, so the nearby cities did not become more attractive for free labour. However, if a city had a camp where prisoners worked in manufacturing, mining, or construction of production facilities or housing, its population increased permanently. Compared with the best match from a control group (a city of similar characteristics, but without a Gulag camp), such a city accrued 50% more population, and this difference remains statistically significant even until the census of 2010.

Overall, the evidence on Soviet city growth supports the common finding: the direct effects of WWII were relatively short-lived. The experience of enterprise evacuation shows that one-shot relocation of production factors by the state also fails to produce robust changes in the geographical redistribution of economic activity in the long run. However, when the Soviet government established new industrial centers in the eastern parts of theUSSR, and made massive investments in production facilities and infrastructure using Gulag labor, it managed to permanently shift the geography of economic activity. This example illustrates the size and scope of impact that is required to affect economic geography in the long run.