Project: FREE policy brief

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?

20180315 The State of Russia Image 01

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

20120607 Buyer Power as a Tool for EU Energy Image 02

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.

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.

Inflation Expectations and Probable Trap for Macro Stabilization

20190506 Do Macroprudential Policy Instruments Image 05

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

20191231 Default Image 02

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.

Who Needs a Safety Net?

One definition of safety net found on the internet is the following: “a net placed to catch an acrobat or similar performer in case of a fall”. This brings to my mind the thrilling performances I saw at the circus when I was a child and I have to admit in most cases there was a safety net. Only in some rare occasions it was removed and the increased tension became palpable. We knew that only the best acrobats could dare performing in those conditions since the slightest mistake or distraction could lead to disastrous consequences. Born in this context, the term safety net has soon been extended beyond circuses. The same internet source, right below the standard definition adds: “fig. a safeguard against possible hardship or adversity: a safety net for workers who lose their jobs”.

Imagine you are a European worker in a time of crisis. You are the only breadwinner in your family and you become unemployed. The situation of your family is going to worsen significantly, but you know that – at least for some time – you and your family will be able to survive thanks to your unemployment benefits and to other forms of social support. In the meantime, hopefully, you will be able to get a new job – maybe thanks to the help from a public employment agency – or will at least be admitted into some publicly sponsored training program increasing your probability to get a new job.

Imagine that, instead of being fired, you get sick. Luckily most of the costs for your care will be covered by the public healthcare system. You will continue receiving your salary (with a reduction as the length of the period of sickness goes beyond a certain number of days) for at least a few months, typically until you can go back to work. If your illness is really serious, at some point you will not receive compensation but you will keep your job unless you stay away from your workplace continuously for a very long period. Should you lose your job, you will still be able to rely for a while on unemployment benefits and on additional forms of social support. Your family will be suffering of course, but at least you will be able to “gain some time” to find a solution.

Now imagine a different scenario. You lose your job. You get one month severance pay but no unemployment benefits. The labor market is hardly creating new jobs, so you have a high probability of not finding a good job and will have either to accept to be unemployed for a long period of time or to work in badly paid temporary jobs, maybe in very dangerous working places (because nobody is in charge of checking working conditions). In case you choose not to risk and to try looking for safer jobs, most likely during your unemployment period you will not receive any training and certainly no support from (non-existing) public employment agencies.

Or, what if you are sick and all healthcare costs fall on you. If you have a private health insurance you get some assistance. If not, you have to dissave in order to get some treatment. You receive one month of salary, after which your employer is free to fire you without having to give you any compensation. So you suddenly find yourself sick and not only unable to help your family but being a burden for it, with no public support and no income. To be fair, you might receive some sort of assistance, after you have applied to the government for support as a needy household if your situation has deteriorated so much that you cannot ensure even your subsistence (maybe by selling assets). However, this support is typically not that high.

This second case is not that of a fictional country. It is a representation of the conditions of most workers in Georgia.

If you keep this in mind, you will not be surprised looking at the following pictures taken from the latest EBRD (European Bank for Reconstruction and Development) Transition Report, titled: “Crisis and Transition: the People’s Perspective”. The tables and pictures included in the report are based on a series of household surveys conducted by the EBRD in a number of transition countries plus a few selected countries of Western Europe. The aim of this study was to study how the crisis had affected household’s welfare in order to draw some conclusion about the potential vulnerability of countries and households to future crises.

Figure 1.


Source: EBRD Transition Report 2011

In this first picture Georgia (in red) stands out as very much above the regression line. It is what is defined as an “outlier”. In this case, being an outlier means exactly that Georgian households, despite having been themselves hit by a relative smaller number of negative events, appear to have suffered much more than households in similar situations in other countries. In other words, they were forced to cut their consumption much more than households in other countries.

The second picture (below) allows us to see where Georgian households had to cut their consumption. Of course, cutting the consumption of luxury goods is not the same as cutting the consumption of food or healthcare. Looking at the second picture, the situation in Georgia appears even worse. Most households have had to cut exactly where one would hope they had not to: staple food consumption and visits to doctors.

Neither of these cuts bode well for the future of Georgian households, as they are likely to have long lasting (negative) effects. Especially as a new world crisis seems approaching.

Figure 2.


Source: EBRD Transition Report 2011

Why this discussion about Georgia and safety nets? The reason is because for some time now Georgia has been presented consistently as a showcase country with an impressive reform track (including an extremely liberal labor market reform that has drastically reduced all forms of workers’ protection) and equally impressive growth rates.

Much less has been said about how Georgian people have been affected by these reforms. For sure the picture that emerges from the EBRD study is of a country where households are extremely vulnerable to any slowing down of the economy or worsening of the macroeconomic conditions, much more than in most other countries.

Again, looking at the EBRD study, we can see that this is related to at least two factors: on the one hand the extremely weak safety net provided by the state; on the other hand, the limited success (so far) in translating high growth rates into a substantial amount of new, “good quality” jobs. This is what led the EBRD, after presenting these results to suggest the following two key priorities for the Georgian government: “…to create a basis for export led growth… […] but also to establish an effective social safety net”.

I would like to conclude with my personal answer to the question: “who needs a safety net?” The answer is a lot of people, I would say, especially in times of crisis like the current. After all, not even the best acrobats would dare to perform all the time without it, especially when they are trying their most dangerous performances for the first time and when preconditions are less than perfect. Why? Because the cost of failure would be too high. Like in the case of acrobats – even more, as they are not risking their own lives – policy makers have the responsibility of taking into account in their evaluations what could go wrong and think of ways to minimize negative impacts on the population.

Most economists would agree that only a sustainable increase in the welfare of citizens (including the most vulnerable ones) is the true sign of development of a country in the long run. Assuring this, as someone sometimes seems to forget, requires also creating and maintaining – especially when markets are less than perfect, a solid social safety net.

The Distributional Impact of Austerity Measures in Latvia

20180114 Individual Retirement Timing Image 02

For a country of its size, Latvia was mentioned in the last decade’s macroeconomic discourse remarkably often: first, for its exceptional growth up to 2007, then – for a dramatic GDP contraction in the aftermath of the 2008 financial crisis, and for the so-called “internal devaluation” policy that was the cornerstone of Latvia’s recovery strategy. Now, when GDP recovery is underway for 9 quarters, Latvia is held up as an example of a country that paved its way out of the crisis with decisive and timely budget austerity measures. The size of budget consolidation package was remarkable, reaching almost 17% of GDP in 2008-2011. Today, when there is so much talk about austerity in the context of the Eurozone debt crisis, Latvian consolidation experience is of particular interest. In this brief, we are looking at the distributional impact of selected implemented austerity measures, using a microsimulation tax-benefit model EUROMOD. Our results suggest that the impact of these measures is likely to have been progressive, meaning that rich population groups are bearing a larger part of the burden.

From Boom to Recession

The “Baltic Tigers” – a term coined to praise the Baltic countries for their dynamic development in the 2000s, especially after their accession to the EU in 2004. During 2004-2007, average annual GDP growth in the Baltics exceeded 8% (in Latvia average growth was 10%). The growth was to a large extent driven by an externally financed credit bubble, leading to overheating of the Baltic economies: inflation was skyrocketing, unemployment was at historically low levels, and current accounts posted double-digit deficits. Before the outbreak of the crisis, the Latvian economy was in the most vulnerable position: Estonia was better situated thanks to prudent fiscal policy implemented in the “good” times, whereas Lithuania was less exposed thanks to its private sector being relatively less indebted.

The growth slowdown in Latvia began in 2007 and was initially triggered by the government’s adopted “anti-inflation plan” and the two of the biggest banks’ actions aimed at restricting credit expansion. Altogether, this initiated a decline in real estate prices. By December 2007, the average price of a square metre in a standard-type apartment in Riga had fallen by 12% from its peak in July (Arco Real Estate, 2008). Construction, retail trade and industrial production growth slowed down in the second half of 2007. GDP quarter-on-quarter growth approached zero by end-2007 and turned negative in the 1st quarter of 2008. In August 2008, the second largest Latvian commercial bank, domestically owned Parex Bank, faced deposit run and was unable to finance its syndicated loans, and in November 2008, the Latvian government took the decision to nationalize the bank. By the 3rd quarter of 2008, GDP quarter-on-quarter contraction exceeded 6%. The budget revenues lagged behind the expenditures, resulting in a gradually growing budget deficit, which reached about 5.5% of GDP in the 3rd quarter of 2008 (see Figure 1).

Figure 1: Year-on-year growth of general government budget total revenues, tax revenues and expenditures, %; seasonally adjusted budget balance, % of GDP

Source: Eurostat, authors’ calculations

In circumstances where the fiscal position was quickly deteriorating but world financial markets were frozen, the Latvian government was forced to seek financial assistance from international lenders. After tough negotiations in November and December 2008, Latvia received a 7.5 billion euro (about 1/3 of GDP) bailout facility from the IMF, the European Commission, the World Bank and the Nordic countries. Latvia received the funding in a series of tranches, with the transfer of each tranche being subject to implementation of a strict reform package agreed with the lenders.Given that introduction of the euro in 2014 remained the Latvian government’s target, one of the key elements of the reform programme was maintaining the lat’s peg to the euro. Therefore, the Latvian government had to accept especially strict and wide-ranging budget consolidation measures.

Budget Consolidation

The total size of budget consolidation achieved in 2008-2011 was impressive: overall, the fiscal impact of the reforms is estimated at 16.6% of GDP (Ministry of Finance of Latvia, 2011). Under the pressure of international lenders, budget consolidation was front-loaded and was achieved astonishingly fast – the fiscal impact of the reforms implemented in 2009 reached almost 10% of GDP, whereas the impact of 2010 and 2011 year measures was much smaller – 4.1% and 2.6%, respectively (see Figure 2).

Figure 2: Size of the implemented consolidation measures and budget deficit outturn, % of GDP*

* Budget deficit in 2011 is the Bank of Latvia’s autumn forecast
Source: Ministry of Finance, Bank of Latvia, Eurostat

Yet the way the consolidation was done was rather chaotic. The 2009 consolidation was mainly implemented by expenditure cuts, including strong wage and employment reductions in the public sector (public pay and employment cuts were continued in the following years, wages were cut by 15-20% in each round and most bonuses were abolished). On the revenue side, the government stuck to the goal of shifting tax burden from labour to consumption, thus the consolidation was mainly achieved by raising indirect taxes, while the personal income tax was reduced. Another line followed by the government at the time was to strengthen support to those affected by the crisis, for example, the duration of unemployment benefits was increased.

Nevertheless, by the time preparation of the 2010 budget started, it became clear that in circumstances of continuing GDP fall and peaking unemployment (in 2009, GDP fell by 17.7%, and the rate of unemployment reached 17.1%), the reduction in labour taxes could not be sustained while the social budget could not bear the burden of growing expenditures. Consequently, the reduction in the personal income tax was reversed (the tax rate was raised even above the pre-crisis level). To consolidate the social budget, the government implemented an across the board cut by introducing ceilings on the size of many benefits. In 2011, the tax burden on labour was further increased by raising the rate of mandatory social security contributions.

Budget consolidation was done under the pressure of the crisis and the reform package was designed in a great rush. What also may not be disregarded, is that the three years – 2009, 2010 and 2011 – were election years in Latvia: in 2009, there were local government elections, in 2010 – parliamentary elections and in 2011 – parliamentary re-elections . Elections have arguably affected the composition of implemented austerity measures. Thus, in June 2009, just ten days after local government elections, amendments to the Law on State Pensions were passed, which stipulated that old-age pensions should be cut by 10%, but pensions to working pensioners should be cut by 70%. This decision caused a strongly negative public reaction and on December 21, 2009, the Constitutional Court ruled that the government’s decision was unconstitutional arguing that the state must guarantee peoples’ right to social security. In the following budget consolidation rounds, even in the face of convoluted IMF recommendations to find a constitutional way of ensuring sustainability of the pension system (IMF, 2010), the government remained strictly opposing any pension cuts.

The mix of implemented reforms is crucial not only because it determines the effectiveness with which the budget consolidation is achieved. What is equally important is that the mix of reforms affects the distribution of costs of the crisis and shapes the economic recovery path. The consequences of the crisis – the dramatic rise in unemployment and wage reductions in the private sector – had a strong impact on incomes, yet policy makers can do little to directly affect this process. On the other hand, policy makers can offset or aggravate those effects by implementing reforms, such as those that made up the austerity packages. In this brief, we assess the distributional impact of selected austerity measures, which were implemented in 2009 – 2011.

Modelling Approach and Limitations

We use the Latvian part of the tax-benefit microsimulation model EUROMOD and follow a similar approach as that taken by Callan et al (2011). We limit our analysis to reforms in direct taxes, social contributions, and cash benefits . In particular, the following austerity measures are included in the analysis:

  • removal of income ceiling for obligatory social insurance contributions (in 2009);
  • increase in the rate of social insurance contributions for employees, employers, and self-employed (June 30, 2011);
  • reduction of tax exemptions (July 1, 2009);
  • increase in the rate of personal income tax (2010);
  • introduction of benefit ceiling for unemployment benefits (2010), maternity, paternity, and parental benefit (November 3, 2010);
  • cuts in state family benefit (2010);
  • cuts in child birth benefit (2010);
  • reduction in the amount of parental benefit by limiting eligibility to non-working parents only (May 3, 2010);
  • making stricter income assessment criteria for guaranteed minimum income (GMI) and reducing amount of the GMI benefit for some groups (2010).

We assess the distributional impact of these austerity measures by comparing two alternative scenarios:

  1. the baseline scenario – simulation of 2011 tax-benefit policy system (with austerity measures implemented), and
  2. the counter factual scenario – simulation of tax-benefit policy system that would have emerged in 2011 in the absence of austerity measures.

If a policy was changed as a part of the austerity package (e.g. income tax increase), we implement a pre-austerity policy (e.g., reduce the income tax to its pre-austerity level). However, if the changes in the policies were regular (e.g. an increase in minimum wage that was planned long before the discussion of austerity measures had started) or not related to austerity measures (e.g. increase in duration of unemployment benefit) we include them in the counterfactual scenario, as well as in the austerity package scenario. By defining the counterfactual scenario in this manner we focus on the impact of austerity measures only holding other things equal.

Despite Latvia is one of the countries where the size of the austerity package was especially large, the distributional effect of the implemented measures has not been analysed neither before nor after the policies had been implemented. Until recently Latvia didn’t have a national microsimulation model which could be used to assess the impact of taxes and benefits on household income. This paper is the first attempt to do this.

However, our analysis is subject to some drawbacks. First, EUROMOD’s input data is based on the European Union Statistics on Income and Living Conditions 2008 (with the income data referring to 2007). We adjust 2007 incomes up to 2011 using updating factors based on the aggregate evolution of such incomes according to national statistics. However, we do not adjust for the changes in the labour market that happened during this period. Therefore, we estimate the effect of austerity measures on data that represent the population with pre-crisis labour market characteristics (e.g. relatively low number of unemployed people).

Second, the analysis is limited to the direct impact of the implemented measures, disregarding the secondary effects such as e.g. behavioural responses of people on the implemented policies.

Results

The simulation results suggest that the impact of the analysed austerity measures was progressive with top income groups being the most affected (see Figure 3). The six countries considered in Callan et al (2011) show different degrees of progressivity: Greece demonstrated a clearly progressive impact, while Portugal was the only country where the effect was regressive. The result for Latvia is likely to be a consequence of introduced ceilings on contributory benefits, as well as the increases in income tax and social insurance contributions. While income tax in Latvia is flat (except for a relatively small untaxed personal allowance), the lowest income deciles contain proportionately more unemployed people and pensioners.

Figure 3: Percentage change in household disposable income due to austerity measures by income deciles

Source: based on own calculation using EUROMOD

Higher progressiveness was observed for households with children (see Figure 4), which is explained by the introduction of ceilings on child-related contributory benefits. At the same time, the impact on the households with elderly was more even.

Figure 4: Percentage change in household disposable income due to austerity measures for different types of households by income quintiles



Source: based on own calculation using EUROMOD

While the introduction of austerity measures made all income groups poorer, progressivity of the impact reduced income inequality. The Gini coefficient of the counter factual scenario is 1 percentage point higher than that of the base scenario. After implementation of the austerity measures, the poverty line decreases because the median income decreases. As a result, poverty rates using relative poverty lines decreased. The poverty rate of the elderly was affected the most, because pension income was not cut and pensioners became relatively better off as compared to other population groups. However, if measured against the fixed poverty threshold, the poverty rate increased in all population groups (see Table 1).

Table 1: Poverty rates and Gini coefficient before and after implemented austerity measures

Source: based on own calculation using EUROMOD

Concluding Remarks

The austerity measures analysed in this paper have had a progressive impact, with the richest population groups likely to be bearing most of the costs. This result should be interpreted with caution. It should be taken into account that we do not model all of the austerity measures that were implemented in 2009-2011. E.g., we do not model the impact of changes in VAT rates, which is likely to have been quite strong and regressive.

Latvia is a society with extremely high income inequality. For example, the income quintile share ratio calculated by the Eurostat (S80/S20), which measures income inequality, in 2009 was the second highest in the EU (6.9 as compared with an EU average of 4.9). It is unlikely that the progressive impact identified in this paper will significantly reduce income inequality gap in Latvia relative to other European countries.

References

  • Arco Real Estate (2008). Real estate market overview (Sērijveida dzīvokļi, 2008. gada decembris)
  • Callan, Tim, Chrysa Leventi, Horacio Levy, Manos Matsaganis, Alari Paulus & Holly Sutherland (2011). “The distributional effects of austerity measures : a comparison of six EU countries”, Social situation observatory, Research note 2/2011.
  • International Monetary Fund (2010). Republic of Latvia: Second Review and Financing Assurances Review Under the Stand-By Arrangement, Request for Extension of the Arrangement and Rephasing of Purchases Under the Arrangement and Request for Waiver of Nonobservance and Applicability of Performance Criteria. IMF Country report No. 10/65, March 2010.
  • Ministry of Finance of Latvia (2011). Budget consolidation in 2008-2011 (Veiktā budžeta konsolidācija laika posmā no 2008.-2011. gadam)

Can the Baby- and Woman-Friendly Maternity Wards Save Lives?

20180513 Women Entrepreneurs Image 01

Improving the health and well-being of mothers, infants and children has been an important public-health goal for many countries, which is reflected in the Millennium Development Goals (4 and 5), set by the United Nations. The well-being and health of mothers, infants and children determine future population health and thus public health challenges as well as economic development prospects. Although Ukraine and the other countries of the Former Soviet Union have fared well compared to the less developed countries of Asia, Africa and Latin America, their maternal and infant mortality and morbidity rates are 3 to 5 times higher than those in the European countries (including those of the Former Socialist block). There are many factors behind this situation. Nevertheless, a lot can be done to improve maternal and infant health by simply changing the way labor and delivery services are provided. New evidence-based medicine (EBM) standards introduced by the Mother and Infant Health Project (MIHP) are more baby- and woman-friendly and include: partner deliveries; avoidance of unnecessary C-sections, amniotomies and episiotomies; use of free position during delivery; immediate skin-to-skin contact; early breastfeeding; and the rooming-in of mothers and newborns. The impact of the Project culminates with 3 mothers’ and 11 newborns’ lives saved every two years in an average participating region.

Infant mortality/morbidity has often been a focus of health economics and medical research as a major indicator of a country’s well-being. In contrast, maternal health outcomes have been much less investigated. There are several potential reasons for such negligence. One is that the rates of maternal deaths are quite low in developed countries. The second is attributed to the difficulty of measuring maternal health outcomes in developing countries where the rates of maternal mortality are particularly high. Nevertheless, the issue of maternal health attracts considerable attention from society due to the fact that most of maternal deaths and health deteriorations are preventable. Moreover, recent evidence demonstrates that improvements in health outcomes for mothers and infants are not as much related to the availability of care (structural quality), as to the way this care is provided (process quality) (Barber and Gertler, 2002). Furthermore, some studies find that access to low quality providers in fact contribute to higher child morbidity and mortality (Sodemann et al., 1997).

Although the population health in Ukraine compares favorably to the situation in the developing world, it is still lagging far behind the developed countries in terms of maternal and infant mortality and morbidity. During the latest years, the level of anemia among pregnant women has increased 4.5 times, maladies of genital urinary system about 3 times, and diseases of blood circulation system 2 times. The average maternal mortality ratio fluctuates around 18-22 women per 100,000 live births, which is 3.5 times higher than in the EU. At the same time, infant mortality (9.5/1000) is two times higher than that in the EU, while the rate of stillbirth (16.89/1000) is four times higher. Additionally, the incidence of congenital anomalies of newborns has increased over time and reached the number of 2878 per 100,000, which is 77% higher than the EU average.

Another alarming problem related to maternal health is persistently high rate of abortions, which most likely originates from ignorance in modern family planning methods. In contemporary Ukraine, 71% of pregnancies end up in abortions. Although the number of abortions decreased twice between1991 and 2003 (from 1532/1000 live births to 728/1000 live births respectively), the incidence is still 3.5 times higher than that in the EU (Center of Medical Statistics of Ukraine 2007).

Mother and Infant Health Project Description

The Mother and Infant Health Project is an eight-year project advocating evidence-based medical practices aimed to improve women’s reproductive and newborns’ health. With funding from the USAID and private sources, and with the support from the Ministry of Health of Ukraine, the project has been implemented by the JSI Research and Training Institute. The first phase of the project was initiated in September 2002 in four regions of Ukraine, but the first four maternities joined the Project in mid-December 2003. By the end of 2006, the Project had expanded to 20 maternity hospitals in twelve pilot regions.

Following the Millennium Development Goals (MEU, 2005), the MIHP pioneers to introduce new evidence-based medicine (EBM) standards: partner deliveries; avoidance of unnecessary C-sections, amniotomies and episiotomies; use of free position during delivery; immediate skin-to-skin contact; early breastfeeding; and the rooming-in of mothers and newborns. In addition, the Project actively supports the provision of training on effective perinatal technologies for the staff of the MIHP maternities, development of “centers of excellence” that serve as models in training/education of medical practitioners of the corresponding oblast, and organizing a health awareness campaign on healthy lifestyles. The MIHP also aims to reinforce liaisons with local governmental institutions.

Furthermore, the Project works on integration of the EBM standards into a package of perinatal practices throughout Ukraine. It also targets revision of the current curricula for medical universities and colleges in order to increase the evidence base of educational programs for medical students and health care providers.

The MIHP in Ukraine belongs to a family of maternal and infant health improving initiatives throughout the world and builds upon their experience, JSI Mother Care (1998-2000) being the largest among them. However, the MIHP in Ukraine is unique both with respect to the institutional setting and to its scope and length, which allows for rigorous evaluation. Most of the earlier projects implemented by the JSI have mainly focused on specific issues (e.g. pregnancy of adolescent girls in Uganda and Zambia, anemia in Malawi) and have been short-term (the longest have been two-year projects in Egypt, Pakistan, and Zambia).

The Impact of the Mother and Infant Health Project

The evaluation of the impact of the first phase (2002-2006) of the Mother and Infant Health Project in Ukraine allows for an identification of improvements in the maternal and infant health outcomes due to enhancements in the quality of labor and delivery services. The identification of the quality improvement effect has been possible for two reasons. First, the basic perinatal and obstetrics care is universally available in Ukraine. Hence, the estimated impact of the small region participating in the MIHP can be attributed to the improvement in medical technologies rather than the availability of the services per se. Second, the variation in the project participation over time and across regions allows for control of the overall population health trend in the country.

Taking into account the effect of the other maternal health programs and personnel training outside the Project, Nizalova and Vyshnya (2010) find that the MIHP impact is in general health improving. Decreases in both maternal and infant mortality and morbidity in participating regions are more pronounced after the start of the Project. Among the infant health characteristics, the MIHP impact is observed for stillbirths and infant mortality and morbidity resulted from deviations in perinatal period and congenital anomalies.

Concerning maternal health, the MIHP is most effective in combating anemia, blood circulation, veins, and urinary-genital system complications, and late toxicosis. The analysis suggests that the effects are due to early attendance of antenatal clinics, lower share of C-sections, and greater share of normal deliveries.

For some outcomes (maternal mortality, normal deliveries, and anemia) there exists a significant effect of the MIHP trainings (without joining the Project), although it is about twice as small in magnitude for normal deliveries and anemia than the direct MIHP impact.

Cost-Benefit Considerations

A comprehensive cost-benefit analysis of the MIHP project is limited, since the majority of maternal and infant health indicators are hard to assess in monetary terms (e.g. increase in early neonatal visits of mothers; decrease in the number of cases of late toxicosis and complicated deliveries; decrease in infant morbidity due to various reasons etc.). Therefore, the focus is on the most “tangible” cost effectiveness indicators: (i) average annual per maternity cost of the Project and (ii) average annual per maternity “tangible” benefits.

The average annual per maternity cost is about 60,000 USD and it is calculated as an overall cost of the first phase of the project – 6 million USD – distributed over 20 treatment sites during 2002-2006, including the first year of the Project setup. Set of “tangible” benefits includes savings due to (i) a switch from C-sections to vaginal deliveries (cost savings of around USD 2,500 per maternity per year), (ii) a switch away from medicine-intensive ways of leading both C-sections and vaginal deliveries (around USD 65,000 per maternity per year), and (iii) saved lives of mothers and infants due to the implementation of the MIHP practices (around USD 5.8 million per maternity per year ).

Overall, the project cost to benefit ratio is 1 to 97 (60 to 5,847 thousand USD) if one takes into account the value of lives saved and it is 1 to 1.08 (60 to 65 thousand USD) if one considers only cost savings due to change in C-section and vaginal delivery practices and the switch away from C-sections to vaginal deliveries. The latter represents the lowest bound of the Project’s benefits since it does not take into account any health-improving impact of the MIHP. Although the range is quite wide and this preliminary calculation suffers from several limitations, it seems unlikely that given the estimated impact the true costs would exceed the true benefits.

References

  • Barber, Sarah L and Paul J Gertler. 2002. “Child Health And The Quality of Medical Care.” University of California-Berkeley Working Paper .
  • Giergiczny, Marek. 2008. “Value of a Statistical Lifethe Case of Poland.” Environmental and Resource Economics 41 (2).
  • MEU. 2005. “Millennium Development Goals. Ukraine.” Ministry of Economy of Ukraine .
  • Olena Y. Nizalova & Maria Vyshnya, 2010.”Evaluation of the impact of the Mother and Infant Health Project in Ukraine,” Health Economics, John Wiley & Sons, Ltd., vol. 19(S1): 107-125.
  • Sodemann, M., M.S. Jakobson, I.C. Molbak, I.C. Alvarenga, and P. Aaby. 1997. “High mortality despite good care-seeking behavior: a community study of childhood deaths in Guinea-Bissau.” Bulletin of the World Health Organization 3 (75):205–12.

Russia and the WTO

20111222 Russia and the WTO FREE NETWORK Policy Brief Image 01

Eighteen years after the start of the accession process, Russia is closer than ever to joining the World Trade Organization (WTO). The negotiations have been long and hard as Russia had to agree the accession terms with 57 out of the 153 WTO member countries which formed the working group. Moreover, the number of goods for which the extent and timeframe of the change of Russian tariffs were agreed exceeded 10,000. The negotiation team led by Maxim Medvedkov has done an immense amount of work and found compromises on sensitive issues such as pay for the flights of foreign planes over Siberia, compensating European producers for the discriminatory law on industrial assembly, the amount of support for the agricultural sector, access to the market of banking services, etc. Now, all these differences have been ironed out and the WTO has agreed with all the participants, and put on the table the final terms of Russia’s accession.

Terms of Accession

It has to be noted that the change of tariffs after Russia’s accession to the WTO will be insignificant. Average tariffs on goods after all the agreements have come into force will decrease to 7.8% from 10% in 2011.

The tariffs on agricultural goods will drop to 10.8% compared with the current level of 13.2%, and for manufactured goods from 9.5% to 7.3%. The duties on some goods will, however, drop significantly. For example, the tariff on new cars will be cut by half from 30% today to 15%. On the other hand, one has to bear in mind that the agreed decrease of all tariffs will not happen overnight after the Russian accession. It will rather take place gradually at a rate which has also been agreed on with the WTO members. The tariff for new cars will drop to 25% immediately after accession and will remain at that level for the next three years before the cuts resume at an annual rate of 2.5% over the following four years to reach the targeted level of 15%. Russia has no commitments to reduce tariffs any further. The tariffs on used cars up to 7 years old will be fixed at 25% at accession and will not change over the next five years before being cut to 20% over the following two years. Duties on cars older than 7 years will not change at all. On the whole, tariffs will be changed completely immediately upon accession only on one-third of the goods. For many goods the process will extend over three years, and for some over 8 years after accession.

Not only trade in goods, but also service and foreign direct investment spheres will be liberalized. One of the most difficult negotiation items was the banking sector, where some WTO member countries (notably the USA) demanded a total opening up of the Russian market of banking services to foreign financial and lending institutions. Moscow, for its part, insisted on preserving the current situation where only the subsidiaries and not branches of foreign banks operate in the Russian market. The difference between the former and the latter is that the activities of subsidiaries on Russian territory are regulated by the Russian Central Bank, while branches are regulated by the laws of the country of origin. The Russian position prevailed, which means that the situation for foreign banks will not change and the cost of entering the Russian market will remain at the current level. Accordingly, the cost of banking services for Russian clients will not change. This is not good news for Russian small and medium-sized enterprises which had hoped that a massive entry of foreign banks could help bring down the interest rates on loans.

Major changes may take place in the insurance market when Russia allows branches of foreign insurance companies. However, a nine-year transitional period appears to be enough for all the stakeholders to prepare themselves.

Assessment of the Consequences of Russia’s Accession to the WTO for the Economy

The question that is uppermost in the minds of all Russians is whether the economy stands to gain or lose as a result of WTO accession. On the one hand, opponents of accession point to the not very successful experience of accession to the WTO of some former Soviet republics. These opponents paint lurid pictures of the social consequences of the closure of a large number of Russian enterprises. By contrast, the advocates of accession cite the success of China whose export-led growth accelerated significantly after the country joined the WTO. Time will tell what the results of a WTO accession will be for Russia. The result will in many ways depend on well-thought-out and coordinated actions of the Russian federal and regional authorities. In the meantime, we can only talk about what we expect from accession and what its potential consequences may be. The Russian government and the World Bank have conducted several major studies, seeking to determine the economic consequences of a WTO accession. While there are some discrepancies in evaluating the quantitative changes in specific sectors and at the economy-wide level, researchers more or less agree in qualitative terms. The general consensus is that the changes in outputs, consumption, prices and welfare due to the new tariff agreements are likely to be fairly small. Because the overall reduction of import tariffs in Russia will be insignificant, one may expect that changes in specific sectors, too, will not be dramatic (within plus-minus 1-3% of the base level).

CEFIR jointly with the Belgian TML Centre and the German ZEW with the support of the European Union Seventh Framework Programme, recently build a general equilibrium model of the Russian economy SUST-RUS (CEFIR 2011) which makes it possible to assess the effect of a Russian WTO accession on specific sectors. Several scenario calculations have been made to model the short term (one or two years after the reduction of all the tariffs) and long-term (five or six years after the reduction of all the tariffs) effects of a Russian WTO accession. The results of the scenario modeling should be seen as an indication of the direction of market processes caused solely by a WTO accession without taking into account any other possible changes in the economic environment (for example, a change of energy prices, the strengthening or weakening of the ruble against the leading world currencies, changes in the domestic market, etc.).

The short-term scenario assumes only a change of the tariff timetable. The long-term scenario has a further assumption concerning the return on foreign direct investments for the business service sector. Business services include banking insurance, financial services, transport services, wholesale trade, etc. Some terms of Russia’s WTO accession pertain to the business service sphere and envisage considerable liberalization of foreign companies’ access to these sectors. One can expect that lower barriers to entry would push down prices in these sectors and make them more accessible for Russian enterprises, which in turn would reduce their costs, boost production and create more jobs. The general equilibrium modeling of this mechanism assumes a conservative reduction of barriers for foreign investments of about 10% of the current level.

According to CEFIR’s results, the potential growth of welfare in the economy caused by a WTO accession in the short term will be 0.4% per year, and in the long term 1% per year. Budget revenues will fall due to diminished tariffs, and there may be a dip in the rate of GDP growth in the short term. Model calculations show a significant change of the trade balance, possibly a reduction of the trade surplus to 10%. At the sectorial level, a WTO accession will reduce domestic prices of timber and articles made from wood, foodstuffs, transport means, as well as equipment, clothes, chemicals and petrochemical products by 1.5-2.5% in the short term and by up to 3% in the long term. This will increase consumption by between 0.2% and 0.4% in the short term and up to 1.5% in the long term. It has to be noted that the liberalization of the service sphere is a very important assumption of these calculations as it accounts for half of the long-term gains for consumers.

The World Bank has also carried out a study of the consequences of a Russian accession to the WTO in 2004 (Jensen et al, 2004). That study put the net positive gain from liberalization of tariffs at 3.4% of the GDP. That analysis was based above all on the economic effect from a change in import tariffs. Trade liberalization is historically associated with lower tariffs. Most sectors stand to gain from accession. Because the authors identify two main causes of the gains from liberalization – easier access to foreign markets and cheapening of the ruble in proportion to the change of tariffs – the sectors that will benefit are those which has a high share of exports, and which have not been heavily protected by tariffs to begin with.

The biggest beneficiary will be metallurgy, with a 25% increase in output and employment in ferrous metallurgy and 15% in non-ferrous metallurgy. The growth in the chemical and petrochemical industries can be up to 10% and in coal mining up to 6%. The significant gains predicted by the World Bank study owe something to the optimistic view of the possible terms of Russia’s accession to the WTO. For example, it assumed that all the import tariffs would be cut by 50% and all (100%) of the administrative barriers to investment in business services would be removed. More modest assessments of the potential gains for Russia in other studies reflect the smaller Russian commitments to liberalization of import tariffs and the services sphere. For example, CEFIR’s results show that steel-making enterprises will not experience difficulties after a WTO accession and may grow by about 2% in the long term.

Along with the cut of import duties, Russian producers will face tougher competition on the part of foreign goods for which prices will be cut. Accordingly, Russian producers will also have to cut their prices to be competitive. This is good news for consumers. Not all domestic producers will be able to cut their prices. The enterprises whose production costs turn out to be higher than the new prices, and which fail to cut their costs, will be pushed out of the market. The sectors where one can expect a drop in production are above all those which have long been protected against international competition by high import duties. CEFIR’s study has shown that in the short term, negative consequences may ensue for the food industry, pharmaceutical companies and textile enterprises which may see their output drop by between 0.5% and 2%.

According to the World Bank study, the biggest decline in output and employment may occur in the machine-building sector (12%) and in the food and light industries as well as in the construction-material industry (up to 7%). The above figures of decrease or increase refer to the summary effect from liberalization accumulated over a period of 7-10 years after a Russian accession to the WTO. Several studies have been devoted to the consequences of a WTO accession for regional economies. For example, World Bank experts (Rutherford and Tarr, 2006) point to positive, but uneven consequences of a WTO accession for Russian regions. The biggest beneficiaries from lower tariffs are likely to be the Tyumen region, the North Western District as a whole, and in particular, St. Petersburg, where welfare may increase by 1%. Low growth or no growth may be expected in the Central District and in the Urals. These results tally with the assessments of the consequences of WTO accession for the Russian regions made by the Independent Social Policy Institute (ISPI 2004) which also included some regions of the Volga Federal District among the high-risk regions.

Results of studies of changes in the labor market in the wake of WTO accession, generally accord with the other findings. The International Labor Organization (ILO 2003) predicts an average loss of 6000 jobs in industry in the year following accession and up to 1000 jobs in seven or eight years’ time. The biggest number of jobs will be lost in the light-industry sector (up to 15,000 during the transitional period). Such a drop in employment will hardly make any difference to the unemployment situation in the country as whole, but may differ from one region to another.

Most studies agree that Russia may gain from easier access for Russian enterprises to foreign markets after a WTO accession, but that the gain will not be great compared to the potential gain from the liberalization of the service sphere. There are not many export-oriented enterprises in the country, but they exist. There are about 6,000 export-oriented enterprises in the processing industry. These enterprises include chemical, metallurgical and high-tech enterprises, and are the most efficient and competitive producers in the country. These enterprises may be expected to pick up the slack in the labor market due to redundancies in sectors that will be affected by a WTO accession. The coordinating role of the state is very important in creating conditions for movement of labor. The gradual reduction of tariffs may dampen the social consequences of Russia’s WTO accession. In the regions where some production facilities are “doomed”, programs for retraining of labor must be launched without delay, especially in information technologies, and the services and skills required for starting a new business. The aim of such retraining should be to enable those who lose their jobs to be employed in other spheres of the economy. It is equally important to develop new forms of financing migration of the population within the country. The solution of this task may become one more – and very important – result of the WTO accession for Russia.

References

  • CEFIR. 2011. SUST-RUS project. www.sust-rus.org
  • ILO. 2003. “Social consequences of Russia accession to WTO.” Moscow office of ILO (in Russian)
  • ISPI. 2004. “Russia’s accession to WTO: real and imaginary social consequences.” (In Russian)
  • Jensen, Rutherford, Tarr. 2004. “Economy-Wide and Sector Effects of Russia’s Accession to the WTO.” World Bank
  • Rutherford, Tarr. 2006. “Regional Impacts of Russia’s Accession to the WTO.” The World Bank