Location: Global
Non-Tariff Measures in the Context of Export Promotion Policies
This brief focuses on the role of non-tariff measures (NTMs) in international trade. While multilateral and bilateral trade negotiations have resulted in worldwide reductions in tariffs, we observe an increasing trend in the application of non-tariff measures. In this brief, we will discuss the evidence of the effect of such measures on exports. The brief also contributes to the discussion of export promotion policies: whether governments, especially in developing countries, should concentrate their efforts to remove only external barriers since there is empirical evidence that internal barriers are no less important for exports.
Economists, policy makers and international organizations are increasingly recognizing the importance of non-tariff measures (NTMs) as substantial impediments to international trade. A survey conducted by UNCTAD among exporters in several developing countries ranks SPS and TBT measures the top trade barriers with on average 73 percent of the respondents viewing them as the primary trade barrier (UNCTAD 2010). The World Bank published a book on NTBs where different authors contributed chapters addressing many aspects of the NTMs (World Bank, 2012). The World Trade Organization (WTO) itself devoted its entire 2012 World Trade Report to such measures with a particular focus on technical barriers to trade (TBT) and sanitary and phytosanitary (SPS) measures. Availability of the new datasets on NTBs allowed researchers to study the effect of these measures on intensive (changes for existing exports) and extensive margins (changes due to entry and exit into exporting) of trade.
Even though trade theory does not specifically address the question of non-tariff barriers that include (but are not limited to) technical regulations, sanitary and phytosanitary measures, the logic of traditional models can easily be extended to these measures. In particular, they can be thought of as part of the fixed/additive costs for exporting firms as they impose compliance costs on exporters. These compliance costs are related to potential adjustments of production processes, and certification procedures needed to meet the requirements of countries imposing such regulations and standards (Schlueter et al., 2009). In a Melitz-type model, these costs are expected to have a negative impact on volumes of trade, number of exporters and number of goods exported. At the same time, average exports per firm may actually increase as the export market-shares are reallocated towards firms that are more efficient.
The existing empirical evidence of the impact of NTMs is mixed; researchers have found both positive and negative effects. The differences in results depend largely on the sector, country and type of NTM imposed. While the effect may overall be negative or null, for some sectors the effect is found to be positive (Moenius, 2004; Fontagné et al., 2005; Chen et al., 2006; Disdier et al., 2008; Medin and Melchior, 2015).
In a recent working paper, Besedina (2015) investigates the effect of introducing an NTM (either SPS or TBT) on export dynamics (in particular, exports concentration and entry and exit into exporting) using the World Bank Exporters database, with a special focus on trade in foodstuff. In particular, we examine how TBT and SPS measures affect export concentration and diversification (both at product and destination level) as well as entry and exit of firms into exporting. If introduction of an NTM increases costs of exporting, the ‘new’ trade theory started by Melitz (2003) predicts that some exporters will stop to export and thus the number of exported product varieties will fall as well (change in extensive margin).
The most important result from our analysis is that the introduction of a TBT or an SPS measure does not seem to affect sectoral export dynamics. Given the above discussion, this result may appear surprising at first. What can possibly explain this zero effect?
First, one may argue that the sector dynamic variables we use in our analysis may not capture changes in the behavior of economic agents (firms) well: while marginal firms may be affected by technical barriers and SPS, averaging across firms may actually conceal this. However, in our analysis we investigate exports at a relatively disaggregated level (4-digit product lines). So while averaging might be a concern, we believe it is not likely to be driving the zero effect.
Second, the concern is that the effect of introducing an NTM measure may not be felt immediately (within one year). In order to verify this, we include lagged trade-barrier variables two periods, but the results were unchanged. Third, it may be the case that it is the number of NTMs rather than the introduction of them that matters. In order to address this point, we performed the same type of analysis using the change in the number of measures introduced. The results were again not affected, and we still do not find any statistically significant relationship between NTMs and exports dynamics.
Despite the absence of an effect of NTMs, this paper reveals an important and policy-relevant finding: the home country’s business environment and institutional factors are important determinants of export performance. It is rather the monetary costs and more complicated exporting procedures imposed by the NTM measures that hamper product and market diversification of the country’s exporters. Hence, policy makers, especially in developing countries, should not only be concerned with removing external barriers to exports (like NTMs) but should also aim to reduce internal barriers and costs imposed on exporting firms by corrupt practices and burdensome regulatory procedures.
Another important dimension for domestic policies towards exporters stems from the work by Melchior (2015, forthcoming) who studies Norwegian exports to BRICS countries overtime and shows that export growth largely depends on the intensive margin (it explains 93 percent of the export growth). Using firm-level data for seafood exports, he finds that only 54% of “trades” – measured as firm/importing country/product combinations – survive from one year to the next. Hence, there is massive “churning” (entry and exit at the same time), and churning is relatively more important in small and in growing export markets. In other words, exporting companies constantly enter and exit foreign markets, add new products, or discontinue exporting some products. A policy implication from this finding is that export-promotion offices should help firms stay in export markets rather than focus on entering these markets. Hence, while it is important to enable domestic firms to enter foreign markets, it seems equally important to ensure their survival in foreign markets, which can be facilitated by a removal of both external and internal barriers.
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References
- Disdier, A-S, L. Fontagné and M. Mimouni (2008), “The Impact of Regulations on Agricultural Trade: Evidence from the SPS and TBT Agreements”, American Journal of Agricultural Economics 90(2): 336-350.
- Fontagné, L., F. von Kirchbach, and M. Mimouni (2005). “An Assessment of Environmentally-related Non-tariff Measures”, The World Economy 28(10): 1417-1439.
- Medin H. and A. Melchior (2015) ”Trade barriers or trade facilitators? On the heterogeneous impact of food standards in international trade”, NUPI mimeo
- Melchior (2015) ” Non-tariff barriers, firm heterogeneity and trade: A study of seafood exports, with a particular focus on BRICs”, NUPI mimeo
- Melitz, M. J. (2003), “The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity,” Econometrica, 71(6): 1695–1725.
- Moenius, J. (2004), “Information versus Product Adaptation: The Role of Standards in Trade”, Working Paper, International Business & Markets Research Center, Northwestern University mimeo.
- UNCTAD (2010), Non-Tariff Measures: Evidence from Selected Developing Countries and Future Research Agenda (UNCTAD/DITC/TAB/2009/3). New York and Geneva.
- World Bank (2012), Non-Tariff Measures – A Fresh Look at Trade Policy’s New Frontier, ed. O. Cadot and M. Malouche, The World Bank, Washington D.C.
Did the Fertilizer Cartel Cause the Food Crisis?
Authors: Hinnerk Gnutzmann, Catholic University of Milan, and Piotr Spiewanowski, Polish Academy of Sciences.
Food prices escalated during the 2007/2008-food crisis and have remained at historically high levels since. We show that an international export cartel for fertilizers was an important driver of the crisis, explaining up to 60% of the price increase. While biofuel subsidies, high energy prices and financial speculation doubtlessly put stress on food markets, our findings suggest new avenues for policy in the fertilizer market to stabilize food markets.
The Aid Effectiveness Literature: Is It Over Yet?
Author: Maria Perrotta Berlin, SITE.
After several decades of studies, the academic community still does not have an answer to whether foreign aid affects growth, and in which direction. Part of the reason for such an outcome may lie in a wide variety of models, techniques and data used. However, the main reason is probably that the broad spectrum of effects is difficult to disentangle when looking at the question at an aggregated level.
Green Transition: Adapting Markets and Policies
This policy brief summarizes the discussion at the 8th annual SITE Energy Day conference, devoted to market adaptations and policies necessary to address the green transition. Recent energy trends with ever more green energy-mixes will have consequences for the functioning of related markets as well as implications for appropriate policy responses. New financial solutions, technological developments, international cooperation, and national policy initiatives in both developing and developed countries are examples of adaptations to this transition process. To discuss these issues, the conference brought together a group of distinguished experts from the energy industry, policy community and academia.
In December 2014, world leaders have gathered in Peru (Lima) for the 20th annual meeting of the United Nations Framework Convention on Climate Change. This convention has as an objective to “stabilize greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference with the climate system” (see UNFCCC’s webpage). Even though the agreement to reduce emissions to a sustainable level may take years to be negotiated, at least 195 countries have ratified the UFCCC convention. The willingness to reduce environmentally harmful emissions has led to many countries changing their energy profile to include more green energy, a process that is often referred to as “green transition”.
It may be worth mentioning that the label “green transition” consists of two conceptual components. “Green” refers to the ability to generate environmentally friendly energy, which has become a key challenge for our society. Indeed, a majority of people now recognize the pressing need to cut pollution in the face of climate change and environmental degradation. The wording “transition” acknowledges that a shift toward a greener energy mix seems unavoidable, but this shift may not occur immediately or uniformly around the globe. The required time for change is long and the shift itself may not be smooth. To put it differently, the green transition has had and will continue to have wide-ranging consequences for businesses, governments, and the international community.
As a result, there is a need to carefully address the potential implications for the existing energy and related markets and market players, and for government policies, as well as new markets and new policies triggered by the green transition. These topics were the focus of the 8th SITE Energy Day, a half-day conference held at the Stockholm School of Economics on December 2, 2014.
Green Transition and the Energy Markets
The first panel focused on how energy markets have responded to green transition and how they may react in the future. Speakers from electricity companies, regulatory bodies and think tanks discussed how the green transition may affect the use of traditional financial instruments by energy companies; the choice of economically viable technology for producing green energy; and the way markets could be integrated to increase the efficiency of green energy.
As green transition almost always introduces more intermittent production, it is likely that market uncertainty will increase. This is one of the reasons why traditional financial instruments may not be fully adequate. The first speaker Laurent Cheval, Head of Nordic and Fuel Origination in the business division Asset Optimization & Trading at Vattenfall discussed this issue extensively. Energy companies face substantial financial risks since both prices and quantities may be highly volatile. To mitigate these risks, market participants may use an array of financial products. In mature energy markets, the products are fairly standardized. However, more complex and tailor-made financial products are required to face the ongoing changes in the sector. For example, the increased share of renewable energy combined with more interconnected markets create specific market risks. To hedge against risks associated with weather changes, future fuel costs, interest rates and so on, more and more energy providers trade customized derivatives “over-the-counter” (OTC) rather than through a centrally-cleared exchange. Another example is the development of decentralized power production and the rise of the “Prosumer” who simultaneously produces and consumes power. So far, the relevant regulation is underdeveloped and there is an additional demand for innovative financial solutions. Large energy companies such as Vattenfall are for instance offering a range of financial hedging solutions combined with actual physical handling and delivery of energy products.
Green transition should in the long run lead to a domination of environment friendly energy. However it is important that only economically viable technologies subsist. It is therefore necessary to assess the cost of producing green energy. Lars Andersson, Head of Wind Power Unit at the Swedish Energy Agency, reported on an extensive study done by the Agency on this issue. Over the last five years, the production cost of wind power has fallen consistently and capacity usage has increased. This dramatic change in the wind power industry likely implies that the existing subsidies for building wind power plants gradually will be phased out. It is unclear how the industry will react to these cuts in subsidies. Furthermore, according to Andersson, wind production faces at least two challenges. Without developing the capabilities for energy storage, electricity markets will face more energy imbalances as the share of wind power increases. Additionally, the support from the local communities is needed to ensure an expansion of wind power. Addressing these issues requires the development of new regulation and defining a common goal which may promote cooperation between stakeholders.
Ultimately the green transition will end when and if the green energies are largely adopted around the globe. One way to accelerate this green transition may be to coordinate action and development of governmental policies. Martin Ådahl, Chefsekonom at Centerpartiet, and Daniel Engström, Programchef Miljö och Klimat at Fores, presented the current state of the international climate policy and discussed the benefits of linking carbon emission rights markets. Because of conflicting interests, the likelihood of reaching an agreement within the current United Nations climate negotiations is rather small.
However, Ådahl and Engström suggested that the focus should instead be on reaching agreements between big polluter countries that contribute the lion’s share of global emissions. Indeed, regional emission trading schemes already exist in the EU, the US and China, the three regions which together account for over 50 percent of global emissions. One potential shortcoming of this suggestion is that it may not be enough to stabilize greenhouse gas concentrations in the atmosphere. Thereby, Ådahl and Engström discussed the possibility to link current cap-and-trade markets, as a first step toward an international system with a more formal global agreement. Linking cap-and-trade markets has many benefits, especially in the form of efficiency gains. However, emission caps vary across countries and regions because of different political goals or priorities. When markets are linked, difference in abatement costs (or allowance prices) would lead to a flow of allowances and emissions from countries/regions with low abatement cost to countries with higher ones. Thereby prices would be equalized, benefiting entities with cheaper allowances. To avoid opportunistic behavior, countries would first have to agree ex ante on an exchange rate between different countries’ emission rights. Second, a clear regulatory framework is required. Both Ådahl and Engström emphasized the need of an international organization devoted to climate economics. Such an institutional body could not only regulate the links between cap-and-trade markets, but also provide concrete solutions and technical models to improve on the market design.
Environmental Policies: International Experience
The second panel focused on how governments may promote green transition. Anna Pegels, Senior Researcher at the German Development Institute (DIE), reviewed green policy initiatives in developing countries. Pegels argued based on evidence from e.g. India and South Africa that it is possible to combine substantial growth with green energy. This is good news since emerging countries are among the highest polluters. However, to change a country’s energy profile, governments need to intervene and develop new industrial policies.
Governments can set long-term goals, which are supported by short- and mid-term targets. However, given the large profits that are at stake, officials may likely be subject to the risk of capture and corruption. To limit such risks, Pegel emphasized the need to introduce competition in the energy sector as a whole. Subsidized feed-in tariffs for renewable energy for example should be only a first step, to reach a certain scale of production. But the technology is mature enough that producers should be able to bear some additional risk in their current activity. This should increase the scope for competition. Finally, it is essential that governments continuously engage in policy revision cycles and learn from other countries’ experiences.
Benjamin Sovacool, Professor of Business and Social Sciences at Aarhus University and Director of the Danish Centre for Energy Technologies, talked about the process of low carbon transition in the Nordic region. In spite of large investments into renewable energy, fossil fuels still dominate the consumption in the Nordic countries and considerable measures need to be taken in the decades ahead to make the transition to a greener energy mix. Sovacool highlighted four areas which could help reduce the carbon footprint of the Nordic countries: renewable energy, increased energy efficiency of buildings, transportation, and carbon capture and storage (CCS). In order to be successful, the green transition has to bring about a systemic change engaging actors across the economy, particularly including end-users. There should also be a focus on additional technological progress. Finally, Sovacool noted that a rapid emission reduction such as the one planned in the Nordic countries is unlikely to be followed on a global scale in the near future due to a lack of political feasibility.
Conclusion
The green transition is expected to have a profound impact on the functioning and structure of energy markets as well as the policies that facilitates this transition.
There is an ongoing process of decentralization in the energy sector, with the rise of “prosumer” market places that alter market dynamics. Moreover, market uncertainty is increasing due to more intermittent production (due to renewables) and a stronger interconnectedness between energy markets. It is likely that energy imbalances will be a major concern and that more and more energy trade will take place on real time markets (as opposed to e.g. on the day-ahead market). As markets’ linking becomes stronger, the interdependence between markets in terms of energy type and geographical location will be intensified. The need for coordination and international cooperation will be even more pressing. The uncertainty regarding the development of international cooperation, but also regarding national policy changes, may however disrupt energy markets. Measures such as withdrawing existing subsidies must be handled in a gradual and strategic manner so as not to discourage investment. A key issue for governments is to have a credible green policy in the long-term. Such credibility will also depend on the level of involvement of different actors in the green transition, including the necessity to have a multilevel engagement of the end-users.
References
- Energimyndigheten, (2014), Produktionskostnads-bedömning för Vindkraft i Sverige, ER 2014:16
- Pegels, A. (Ed.). (2014), Green industrial policy in emerging countries, Vol. 34, Routledge
- Rutqvist, J., Engström, A.and Ådahl, M., A Bretton Woods for the Climate. Fores, 2010
- SITE 8th Energy Day, http://www.hhs.se/en/about-us/calendar/site-external-events/2014/site-energy-day/
- UNFCCC, (n.d). First steps to a safer future: Introducing The United Nations Framework Convention on Climate Change, http://unfccc.int/essential_background/convention/items/6036.php [8 December 2014]
Culture, Cold War, and Trade
This study evaluates how the impact of cultural differences on trade evolves over time, especially after the Cold War. We show that the negative influence of cultural differences on trade has increased over time. More specifically, it is more prominent in the post-Cold War era than during the Cold War. For instance, two countries with distinct religious majorities have 35% lower bilateral trade flows in the post-Cold War period compared to countries sharing the same majority religion. This negative effect was less than half during the Cold War (16%). In addition, we provide an explanation for the differential impact of cultural differences over time. By mapping out the transition of the effects of cultural and ideological dissimilarities, we show that cold-war ideological blocs might be a reason for the suppression of cultural differences during the Cold War. Therefore, long-term cultural determinants of trade gain more significance by the end of the Cold War and replace ideological differences as a major impediment to international trade.
Gender and Development: the Role of Female Leadership
This policy brief reports on a discussion of the role of female leadership in development held during a full day conference at the Stockholm School of Economics on June 16, 2014. The event was organized jointly by the Stockholm Institute of Transition Economics (SITE) and the Swedish Ministry for Foreign Affairs, and was the fourth installment of Development Day – a yearly development policy conference. It is well known that women fall behind men on many markers of welfare and life opportunities, both in developed and developing countries. For most indicators, though, such as education and labor force participation, both the absolute and relative position of women tend to improve with economic development. However, in some areas the beneficiary effect of raising incomes is less clear. Access to leadership positions and decision-making roles are examples of such areas. To discuss this question, the conference brought together a distinguished and experienced group of policy oriented scholars and practitioners from government agencies, international organizations, civil society and the business community.
Hedge Funds Non-Transparency: Skill of Risk-Taking?
This policy brief raises the issue of whether the secretive nature of hedge funds allows funds to misbehave and take excess risks that may in turn be contagious for the whole economy. We use a novel dataset and a new methodology to argue that at least part of the excess performance of more secretive funds during the pre-crisis period was indeed due to higher risks taken.
Hedge Funds – the Secretive Investment Vehicles
In the modern era of delegated portfolio management, hedge funds constitute some of the most interesting and complicated investment vehicles, with a global industry size of over US$2.5 trillion and an overall number of funds of about 10,000 (according to Hedge Fund Research, Inc). The industry grew dramatically during the early 2000s, often providing investors with returns superior to those available in other financial sectors.
The natural question arising is then what exactly made hedge funds enjoy these superior returns. Historically, hedge funds have operated in a relatively secretive way that did not require them to disclose the details about their operations to regulators. Some have argued that it is this secretive nature of hedge funds that has allowed fund managers to employ superior trading strategies and effectively preserve the managerial know-how (in terms of stock-picking skill, market timing or faster trading technology) from being potentially replicated by others.
At the same time the secretive nature of hedge funds might simply allow the fund managers to hide the excessive risks their strategies are exposed too, thereby earning superior returns during relatively good periods (when risky strategies earn the risk premium), but having drastic collapses during relatively bad periods (when these risks realize).
Distinguishing between these two major explanations of superior performance is critically important for potential policy implications regarding hedge funds transparency and disclosure. If the secretive nature of hedge funds attracts more skillful managers that employ proprietary know-how strategies and invests into acquiring more information about the instruments they trade (i.e. generate so called “alpha”), more disclosure would not be necessarily good. This, since it would allow other funds or investors to free-ride on these more skillful managers, reducing their competitive advantage and incentives for providing superior performance. If on the other hand, secrecy allows hedge funds to misbehave and take more systematic risk than they claim they take (i.e. they have a higher “beta”), then there may be a rationale for increasing disclosure requirements, so that investors understand what they are being compensated for in the form of superior returns.
Is There More Risk in Secretive Hedge Funds?
The traditional approach to distinguishing between high-alpha and high-beta funds involves adopting a certain model of risk, i.e. selecting a set of observable risk factors that hedge funds may load on, and then adjusting their raw performance using the estimated exposures to these different factors. This would yield alpha – the risk-adjusted return – that can in turn be used as a measure of managerial skill.
In Gorovyy et al. (2014), we argue that the above methodological approach may sometimes be misleading in evaluating managerial performance. Indeed, in the absence of the true model (e.g. not knowing all factors or not being able to observe them) such alpha would be overestimated as long as these omitted or unobserved factors are earning positive returns during the estimation period (and underestimated, respectively, if the returns are negative). For practical purposes this means that if hedge funds load on unobservable factors, which during the estimation period happen to crash rarely, but deliver a positive return most of the time, we would erroneously attribute funds’ superior returns to managerial skill and not risk.
To tackle this issue, we offer a different approach and suggest that during relatively good times high-alpha and high-beta explanations may be observationally equivalent, but during relatively bad times, they are not. In particular, if during bad times the risks that funds have been loading on realize, we would observe relatively worse performance of funds that loaded more on such factors, ceteris paribus. Thus, in order to distinguish between high-alpha and high-beta funds, we need to look precisely at periods when we would be comfortable assuming that such unobserved factors are likely to crash.
In order to implement this idea, we use a novel proprietary dataset obtained from a fund-of-funds – that is, a hedge fund that invests in other hedge funds, and, hence, has a lot of information about these other hedge funds – and spans April 2006 to March 2009, to directly measure the secrecy level of a fund that is missing in public hedge-fund databases. This qualitative measure describes the willingness of the hedge-fund manager to disclose information about its positions, trades and immediate returns to fund investors. It is based on formal and informal interactions of the fund-of-funds with hedge funds it invests in, such as internal reports, meetings with managers and phone calls.
Figure 1. Performance of Secretive vs. Transparent Funds
Source: Author’s own calculations.
First of all, we document that secretive funds significantly outperform transparent funds during the relatively good times, as suggested, for example, by the period between April 2006 and March 2007 – a growth period according to NBER, and a period of rapid rise of the U.S. stock market indices. In particular, we find that the most secretive funds earned on average about 5% in annualized terms more than the most transparent funds during this period, even when we control for differential risk exposure of different strategies over time and various hedge-fund control variables.
In order to understand whether this superior performance of more secretive funds is due to managerial skill, or some other factors that may not be observable or not known in the model, we need to see what happened to these funds during the relatively bad period of time, i.e. during the period when we would feel comfortable assuming that risk factors on which hedge funds may have loaded did indeed realize. Although we may have in mind some of the omitted factors being potentially related to rare events and tail risk (as also supported by loadings on strategies associated with option-based returns as in Agarwal and Naik, 2004), they may well represent other risks that were likely to realize during the crisis period. We therefore label April 2008 to March 2009 as the “bad” period – a recession period according to NBER, highlighted by the bankruptcy filing by Lehman Brothers in September 2008 and some of the largest drops of stock market indices in history.
As we see from the graph in figure 1, the performance comparison between secretive and transparent funds largely reversed during this bad period. In particular, also supported by our more saturated regression results, transparent funds outperformed the secretive ones during the crisis by the magnitude of about 10-15% in annualized terms, depending on the exact specification. This explicit consideration of the bad period allows us to conclude that at least a part of the performance differential between secretive and transparent funds during good times can be attributed to a higher risk-taking by secretive funds, which earned a premium during good times but faced these realized risks during bad times.
Potential Policy Implications
As a response to the recent financial crisis, many developed economies have passed regulatory reforms considerably increasing the required disclosure levels, suggesting that the secretive nature of alternative investment vehicles has been considered to be something undesirable (e.g. for contagious effects on the economy, or the ex-post bailouts of the “too-big-to-fail” financial institutions). The examples of such policies include the U.S. Dodd-Frank Wall Street Reform Act passed in July 2010, the European Union Alternative Investment Fund Managers Directive 2011/61/EU that entered into force in July 2013, and the Regulation Guide 240 issued by the Australian Securities and Investments Commission in September 2012.
However, given that hedge funds receive money from relatively sophisticated and wealthy investors (i.e. generally having at least $1 million in net worth), whether more risk in hedge funds strategies is good or bad for them in particular, and the society in general becomes a somewhat debatable question. More importantly, the essence of many of the hedge-fund strategies lies in the so-called dynamic trading – with asset positions and risk exposures being adjusted daily or even more frequently. In such an environment, reporting these positions to the regulatory authorities even on a monthly basis may not adequately describe the exact risks taken by the hedge funds.
More relevant questions, on the other hand, may be about whether investors correctly perceive the exact risks faced by the fund, how large the degree of asymmetric information is within the hedge fund industry, and whether any action may be needed to correct it. These remain open questions and we hope that future research will address them.
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References
- Agarwal, V., and Naik N.Y., 2004, “Risks and portfolio decisions involving hedge funds,” Review of Financial Studies, 17(1), 63-98.
- Gorovyy Sergiy, Patrick Kelly, and Olga Kuzmina, “Hedge Funds Non-Transparency: Skill of Risk-Taking?”, CEFIR Working paper.
Trust and Economic Reforms
This brief discusses the importance of trust in economic development. In the aftermath of the 2008 financial crisis, many countries experienced a decline in the level of both general trust and trust and confidence in the government and market institutions. Trust is important for economic growth as it facilitates economic transactions by reducing uncertainty and risk. A lack of trust in the government hinders implementation of structural reforms needed for economic development. Hence, policies aimed at rebuilding trust in the government and institutions become especially important for countries like Ukraine.
Recent events in Ukraine have highlighted an acute crisis of trust in the Ukrainian society (such as trust in the government, politicians, institutions, etc.). Over the past two decades, in the absence of a fair and transparent legal and court system, Ukrainians have become accustomed to relying on informal and often corrupt ways of living and doing business. According to a poll conducted in December 2013, less than 20 percent of the Ukrainian population said that they trust the government, police and courts.
A low level of trust in society is not, however, limited to Ukraine; this problem is also pronounced in many other parts of the world. According to the 2012 Edelman Trust Barometer survey, the general level of trust in most countries surveyed decreased compared to 2011. The most notable decline was in Brazil (36.3%), Japan (33.3%) and Spain (27.5%). These countries also experienced large drops in the level of confidence in the government: Brazil went down by 62.4%, Japan by 51% and Spain by 53.5%. According to the OECD report, generally, less than half (40%) of the citizens trust their government (OECD, 2013).
General trust is important for economic life as it reduces uncertainty and costs associated with economic transactions. Trust affects the functioning of businesses, financial markets, and government intuitions. The level of general trust varies significantly across countries (see Figure 1). While only 3.8 percent of people in Trinidad and Tobago fully trust most people, the Scandinavian countries’ share of trusting people exceeds 60 percent (Algan and Cahuc, 2013).
Economists have in their studies repeatedly appealed to the problem of trust because there are several channels through which trust may influence economic development. First, trust creates favorable conditions for long-term investment and financial market development (Algan and Cahuc, 2013). Second, a higher level of trust in various regulatory authorities increases the level of compliance with the rules and regulations if citizens believe in the fairness of such rules and regulations (Murthy, 2004). In Tabellini (2010), the level of economic development (measured by GDP per capita) of different regions of the EU member countries is compared to their level of trust (defined as in the Figure 1) and respect (defined as the proportion of people who mentioned the quality “tolerance and respect for other people” as being important). Using data from the World Value Survey rounds conducted in the 1990s, he shows that regions with a high level of trust and respect are also the regions that are the most economically developed.
In his Master thesis, the graduate of the Kyiv School of Economics Oleksii Khodenko (Khodenko 2013) analyzed the relationship between the level of trust in the government and the attitude towards market economy (in particular, the attitude towards competition and private property). For this purpose, he used data from the World Values Survey and the European Values Survey. His results have different implications for developed and less developed countries. While a lack of trust in the government in developed countries is transformed into a desire to see more market mechanisms in the economy, this mistrust of the government in developing countries (including Ukraine) undermines the faith in the entire market economy.
Khodenko’s results highlight important policy implications for transition countries: people who grew up in a centrally planned economy tend to underestimate the benefits of the free market and, therefore, only puts confidence in the government and the state as a whole to achieve the development of market mechanisms. Thus a lack of trust hinders, or even prevents implementation of structural economic reforms, which are often “painful” for some groups or for society as a whole. In countries with a low level of trust, the long-term promise of the implemented reforms to improve the lives of people is not perceived as credible. Instead of being viewed by the general public as a today’s sacrifice in the name of future prosperity, they are rather viewed as a deadweight loss (Györffy, 2013).
Figure 1. The Level of Trust in the World
Source: Yann and Cahuc (2013), Figure 1.
Note: Trust is computed as the country average from responses to the trust question in the five waves of the World Values Survey (1981-2008), the four waves of the European Values Survey (1981-2008) and the third wave of the Afrobarometer (2005). The question regarding trust asks: “Generally speaking, would you say that most people can be trusted or that you need to be very careful in dealing with people?” Trust is equal to 1 if the respondent answers ”Most people can be trusted” and 0 otherwise.
Moreover, low levels of trust affect all types of structural reforms. Elgin and Garcia (2012) show that the effect of the tax reform on the economy can significantly differ depending on the level of trust in the government; under low levels of trust the announced tax cuts do not lead to exit from the informal sector.
The question is then how to revive or rebuild trust? Knack and Zak (2003) argue that the most efficient policies for building general trust are policies that (1) reduce income inequality since people in countries with more equal income distribution tend to have higher levels of interpersonal trust, and (2) strengthen civil society to increase government accountability. Income inequality often resulting from unequal opportunities can be reduced via increases in educational attainment and income redistribution programs. The presence of a strong civil society with free press ensures that the government is accountable and responsive to its citizens. A government needs to be reliable, open and transparent to effectively address citizens’ demands (OECD, 2013). All these policies cannot be implemented without a fair legal system that guarantees equal treatment of all citizens.
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References
- Algan, Y. and P. Cahuc (2013) “Trust, Growth and Well-being: New Evidence and Policy Implications”, IZA Discussion Paper No. 7464
- Elgin, C. and M. Solis-Garcia (2012), “Public Trust, Taxes and the Informal Sector”, Journal Review of Social, Economic and Administrative Studies, 26(1), pp. 27-44
- Györffy, D. (2013), Institutional Trust and Economic Policy: Lessons from the History of the Euro, Central European University Press
- Knack, S. and P.J. Zak (2003), “Building Trust: Public Policy, Interpersonal Trust, and Economic Development”, Supreme Court Economic Review, 10, pp.91-107
- Khodenko, Oleksii (2013). How Does Confidence in the State Authorities Shape Pro-market Attitudes?
- Murthy, K. (2004), “The Role of Trust in Nurturing Compliance: A Study of Accused Tax Avoiders”, Centre for Tax System Integrity, Working paper No49
- OECD (2013), Government at a Glance 2013, OECD Publishing.
- Tabellini, G. (2010), “Culture and Institutions: Economic Development in the Regions of
- Europe”, Journal of the European Economic Association, 8(4), pp. 677–71
The Charity of the Extremely Wealthy
Analyzing data from the Giving Pledge (a public pledge to give away at least half of one’s fortune during one’s lifetime, launched by Bill Gates and Warren Buffett in 2010) and the Forbes billionaires’ list, I find that self-made billionaires are substantially more likely to give away large amounts of money, than do billionaires who inherited their money. Policy makers in many emerging markets with ‘new’ billionaires thus better quickly modernize their charity laws.
In 2010, two billionaires Bill Gates and Warren Buffett launched the Giving Pledge, a public pledge to give away at least half of one’s fortune during one’s lifetime (http://givingpledge.org/), which by now has been signed by 114 people. 114 are not much, you might think, and you might want to add your own name to the list. But, unfortunately, not everybody is invited to make this pledge. Gates and Buffet focus only on the extremely wealthy people: 85 of the signatories of the pledge are among the 1426 billionaires identified by Forbes in 2013, and most of the others were on Forbes’ billionaire list in earlier years. Of these 1426, 135 billionaires come from Central and Eastern Europe or the Former Soviet Union (see table I)
Worldwide, about 6% of billionaires (85/1426) have made this pledge. Among the signatories is one Russian billionaire, Vladimir Putanin, and one Ukrainian billionaire, Victor Pinchuk, which makes Ukraine score above average, with one out of ten, or 10% of Ukrainian billionaires signing.
Table 1. Number of 2013 Forbes Billionaires from the Former Soviet Union|
# 2013 Forbes Billionaires |
# of Selfmade |
Giving Pledge |
Name of Signatory |
|
|
Russia |
110 |
110 |
1 |
Vladimir Potanin |
|
Ukraine |
10 |
10 |
1 |
Victor Pinchuk |
|
Kazakhstan |
5 |
4 |
0 |
|
|
Czech Republic |
4 |
4 |
0 |
|
|
Poland |
4 |
4 |
0 |
|
|
Romania |
1 |
1 |
0 |
|
|
Georgia |
1 |
1 |
0 |
In my most recent working paper, Claire Monteiro of Georgetown University and myself investigate whether it is possible to explain why these 6 % have signed, and the other 94% have not (yet) signed the Pledge. Or to put it in a more interesting way, why Putanin and Pinchuk signed but the other CEE/FSU oligarchs have not.
We investigate this question by analyzing whether generous billionaires have specific characteristics in common, characteristics that not so generous billionaires do not have. Doing this is possible because Forbes publishes not only a ranking of billionaires, it also provides background information about each billionaire like the billionaire’s education, age, how many children (s)he has and so on.
My analysis shows that three factors have a significant effect on the chance that a billionaire will be generous. First, a billionaire who is self-made is about three to four times more likely to sign than a billionaire who inherited his/her billion(s). This finding that how one earned one’s money affect how one spends this money is consistent with University of Chicago professor Richard Thaler’s ‘mental accounting’ theory and with earlier research showing that the propensity to consume is bigger if income received is framed as a bonus rather than if it is framed as a rebate, and the research showing that windfall gains (money won in a lottery) is more readily consumed than non-windfall gains (money for which one had to work). Note that all but one billionaire from the CEE/FSU are categorized by Forbes as self-made.
Second, billionaires with more money are more likely to sign the Giving Pledge and promise to give away half their fortune – for example, compared to an average billionaire who has about 4 billion dollar in estimated net worth (like Victor Pinchuk), a billionaire with an estimated net worth of about 15 billion dollars (like Vladimir Potanin) is roughly 50% more likely to promise to give away half of her/his fortune. Third, billionaires whose fortune comes from the technology/telecommunications industry are about twice as likely to announce that they will give away at least half of their fortune, compared to billionaires from other sectors.
The influence of other factors is small and less precisely estimated: older billionaires tend to be more likely to sign (possibly because being closer to the end of one’s life makes one think more about what one wants to leave behind), as do those who have more children (maybe because having more children makes it more likely that the inheritance will lead to fights among family members) or those having a Ph.D. Moreover, billionaires from the food and retail industry tend to be less likely to sign than those from the metallurgy industry.
Taken together my model predicts for Ukraine that Victor Pinchuk is the Ukrainian billionaire who is most likely to sign (4% probability), being 10 times more likely to sign than Yuriy Kosiuk (the Ukrainian billionaire who is least likely to sign with 0.4% probability). The difference in estimated net worth (3.8 billion versus 1.6 billion), age (52 versus 44), the number of children (4 versus 1) and education (Ph.D versus bachelor), and the sector in which they are active (metals and mining versus food and retail) explain this difference in probability. Victor Pinchuk is also about 30% more likely to sign than Rinat Akhmetov – while the latter has a higher estimated net worth (15.4 billion versus 3.8 billion), the effect of education (bachelor versus Ph.D), age (46 versus 52) and children (2 versus 4) play in favor of Victor Pinchuk, outweighing the wealth effect.
While it is definitely fun to do these kinds of computations, my research also has serious implications. The fact that inherited billionaires are much less charitable than the self-made billionaires means that academics should not assume that ‘all money is equal’ as they typically do – how you acquire money affects what you will do with it. It also implies that the countries from CEE/FSU with lots of ‘new’ wealth should modernize their charity laws quickly – once the self-made billionaires pass their wealth on to their children, it will become much more difficult to turn this massive wealth into charity.
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References
- Tom Coupé and Claire Monteiro, The Charity of the Extremely Wealthy, Kyiv School of Economics, Discussion Papers 51.
* A version of this policy brief has been published in Russian at Forbes.ua.
Can Public Enforcement of Competition Policy Increase Distortions in the Economy?
Authors: Vasiliki Bageri, University of Athens, Yannis Katsoulacos, Univeristy of Athens, and Giancarlo Spagnolo, SITE.
Competition law has recently been introduced in a large number of developed and emerging economies. Most of these countries adopted the common practice of basing antitrust fines on affected commerce rather than on collusive profits, and in some countries caps on fines have been introduced based on total firm sales rather than on affected commerce. Based on recent research, this policy brief explains how a number of large distortions are connected to these policies, which may facilitate competition authorities in their everyday job but at the high risk of harming the consumer and distorting industrial development. We conclude by discussing the possibility to depart from these distortive rules-of-thumb opened by recent advancements in data availability and econometric techniques, as well as by the considerable experience matured in estimating collusive profits when calculating damages in private antitrust litigation.
Competition policy has become a prominent policy in many developing economies, from Brazil to India. Indeed, the available evidence suggests that in countries where law enforcement institutions are sufficiently effective, a well designed and enforced competition policy can significantly improve total and labor productivity growth.
It is already well known that the private enforcement of competition policy can give rise to large distortions: since competition law is enforced by Judges and not by economist, it is easy for firms to strategically use the possibility to sue under the provision of competition law to protect their market position rather than the law being used to protect competition.
It is somewhat less known that a poor public enforcement of Competition Law by publicly funded competition authorities can also end up worsening market distortions rather than curing them. In the reminder of this policy brief we explain why, according to recent research, a mild and suboptimal enforcement of antitrust provisions – in the sense of fines that are too low to deter unlawful conduct (horizontal agreements and cartels in particular) and fines which are based on firm revenue rather than on the extra profits generated by the unlawful conduct, could significantly harm social welfare, even if we abstract from the direct cost the public enforcement of competition law imply for society.
Current Practice in Setting Fines
A very important tool for the effective enforcement of Competition Law is the penalties imposed on violators by regulators and courts. In this policy brief, we uncover a number of distortions that current penalty policies generate, we explain how their size is affected by market characteristics such as the elasticity of demand, and quantify them based on market data.
In contrast to what economic theory predicts, in most jurisdictions, Competition Authorities (CAs), but also courts where in charge, use rules-of-thumbs to set penalties that – although well established in legal tradition and in sentencing guidelines and possibly easy to apply – are hard to justify and interpret in logical economic terms. Thus, antitrust penalties are based on affected commerce rather than on collusive profits, and caps on penalties are often introduced based on total firm sales rather than on affected commerce.
A First Well Known Distortion Due to Legal Practice
A first and obvious distortive effect of penalty caps linked to total (worldwide) firm revenue is that specialized firms which are active mostly in their core market expect lower penalties than more diversified firms that are also active in several other markets than the relevant one. This distortion – why for God’s sake should diversified firms active on many markets face higher penalties than more narrowly focused firms? – could in principle induce firms that are at risk of antitrust legal action to inefficiently under-diversify or split their business to reduce their legal liability.
In a recent paper published in the Economic Journal, we examine two other, less obvious, distortions that occur when the volume of affected commerce is used as a base to calculate antitrust penalties.
A Second Distortion: Poorly Enforced Competition Law May Increase Welfare Losses from Monopoly Power
If expected penalties are not sufficient to deter the cartel, which seems to be the norm given the number of cartels that CAs continue to discover, penalties based on revenue rather than on collusive profits induce firms to increase cartel prices above the monopoly level that they would have set if penalties were based on collusive profits. Intuitively, this would be done in order to reduce revenues and thus the penalty. However, this exacerbates the harm caused by the cartel relative to a monopolized situation with similar penalties related to profits, or even relative to a situation with no penalties due to the distortive effects of the higher price and, in comparison to a situation with no penalties, the presence of antitrust enforcement costs.
A Third Distortion: Firms at the Bottom of the Value Chain May Pay a Multiple of the Fine Paid by Firms at the Top for an Identical Infringement
Firms with a high revenue/profit ratio, e.g. firms at the end of a vertical production chain, expect larger penalties relative to the same collusive profits that firms with a lower revenue/profit ratio would get. Our empirically based simulations suggest that the welfare losses produced by these distortions can be very large, and that they may generate penalties differing by over a factor of 20 for firms that instead should have faced the same penalty.
Note that this third distortion takes place also when at least for some industries fines are sufficiently high to deter cartels. This distortion means that competition is only enforced in industries that happen to be in the lower end of the production chain, and not in industries where the lack of competition is producing larger social costs. Note also that our estimation is based only on observed fines, i.e. on fines paid by cartels that are not deterred. Since cartels tend to be deterred by higher fines, this suggest that if we could take into account the fines that would have been paid by those cartels that were deterred (if any), the size of the estimated distortion would likely increase!
Concluding remarks
We argue that if one wants to implement a policy, one must be ready to do it well otherwise it may be better to not do it at all. This is particularly relevant for countries with weaker institutional environments where it is likely that political and institutional constraints will not allow for a sufficiently independent and forceful enforcement of the Competition Law.
It is worth noting that – in particular in the US but also increasingly so in the EU – the rules-of-thumb discussed above do not produce any saving in enforcement costs because the prescribed cap on fines requires courts to calculate firms’ collusive profits anyway. Furthermore, the distortions we identified are not substitutes where either one or the other is present. Instead, they are all simultaneously present and add to one another in terms of poor enforcement.
Where there are sufficient resources to allow for a proper implementation and where enforcement of Competition Law is available, developments in economics and econometrics make it possible to estimate illegal profits from antitrust infringements with reasonable precision, as regularly done to assess damages. It is time to change these distortive rules-of-thumb that make revenue so central for calculating penalties, if the only thing the distortions give us is savings in the costs of data collection and illegal profit estimation.
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