Location: Ukraine

Recent Dynamics of Returns to Education in Transition Countries

20190527 The Learning Crisis

While, in an international comparison, transition countries spend a relatively large share of their GDP on education, and the population in transition countries is fairly highly educated, the returns to education in transition countries have been found to be relatively low, especially in comparison to other developing countries. In our paper, ‘Recent Dynamics of Returns to Education in Transition Countries’, we investigate whether the economic boom that transition countries experienced up to the 2008 financial crisis, increased the returns to education in these countries. Theories of skilled-biased technical change typically predict that periods of fast economic growth go together with an increase in the relative demand for skilled labor and hence an increase in the returns to education. 

Using data from the 2007 wave of the International Social Survey Program (ISSP), the estimated return to an additional year of schooling in transition countries varied between a low 5.2 percent in Ukraine to a high of about 10 % in Poland (see Figure 1). Returns in transition countries were relatively low compared to developing countries in the ISSP sample, and on average not unlike OECD countries.

Figure 1. Returns to Education by Countries, 2007 Wave – Basic Specification
 
Note: Coefficients of the years of schooling variable in earning regressions. Dependent variables are monthly earnings. Specification includes: potential experience (linear and squared), dummy for gender. Source: Ukraine – ISSP 2008, all other countries – ISSP 2007.

The estimated dynamics in returns to education in the period 2002-2007 further suggest that the economic boom that took place in that period did not affect people with different amounts of education in different ways. Returns to education increased slightly in some transition countries and decreased slightly in others, but overall returns to education remained relatively moderate.  More specifically, from table 2 we can see a decrease in returns in Bulgaria, Latvia and Poland, and an increase in the Czech Republic, Russia, Slovakia and Slovenia. Both increases and decreases are small in size however.

Table 1.  Dynamics of Returns, Basic Specification
Note: Coefficients of the years of schooling variable in earning regressions with few controls as specified in the text.
Source: Estimates for 1991-2002 are from Flabbi et al. (2008); estimates for 2007 and for Ukraine are by the authors.

A more detailed analysis for Ukraine using data from the Ukrainian Longitudinal Monitoring Survey, confirmed that economic growth did not have a major impact on the returns to education. The analysis for Ukraine however does suggest that, while in 2003 a secondary degree resulted in a somewhat higher wage, just having secondary education was no longer a differentiating factor in 2007.Moreover, only academic education made a difference, possibly because less and less people were paid very small wages (i.e. less than the official minimum wage).

The relatively limited importance of education for success on the labor market does not only show itself in the low estimated returns to education, it is also clear from the opinions people express about the factors that are important to get ahead. Table 3 gives the percentage of people who say a given factor is essential, important or fairly important to get ahead in a given country (based on the 2009 ISSP).

Table 2. To get ahead, it is essential, important or fairly important to
 

In most transition countries in the sample, most people think that hard work and ambition is the key to get ahead.  Ukraine is no exception with hard work being thought to be essential, important or fairly important by about 94 percent of the respondents. Having a good education is thought to be at least fairly important by only about 73 percent of the respondents, with four other factors, besides hard work, scoring better on this criterion: having political connections, having ambition, having a wealthy family and knowing the right people. Also for the other transition countries in our sample, good education ranks only 5th, 6th or 7th.

Optimists could interpret these results as implying that at least education does not create the same social inequalities in the transition countries as it does in some other countries. Pessimists, on the other hand, who see education as an important driver of economic growth, will argue that low returns to education mean there is a low incentive for people to invest in education and that it is better to have education as a source of inequality rather than political or social connections, or having a wealth family.

The Effect of Municipal Strategic Planning on Urban Growth in Ukraine

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

Authors: Denys Nizalov and Olena NizalovaKEI.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

References

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

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

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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.

Does Service-Sector Liberalization Increase Productivity in the Manufacturing Sector?

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Authors: Oleksandr Shepotylo and Volodymyr Vakhitov, KEI.

This policy brief summarizes the results of recent research on the effect of service-sector liberalization in Ukraine, 2001-2007, on productivity in the manufacturing sector. We use a sample of manufacturing firms and construct a firm-specific index of service-sector liberalization. We find that the manufacturing firms which more intensively use liberalized services, on average, have gained 9 percent in total factor productivity (TFP). The service liberalization is associated with increased foreign presence which also has a positive and significant effect on TFP. The effect is stronger for domestic and small firms.

Is School Network Optimization An Opportunity for Education in Transition Countries?

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Author: Tom Coupé, KEI.

After the fall of the Soviet Union, transition countries have faced an unprecedented demographic shock, with increasing mortality and emigration, but also with a serious drop in fertility. This negative shock to fertility has translated in an increasingly smaller number of school-aged children, considerably reducing school size and class size over time (Berryman, 2000). In addition, given that this drop in children of school age did not go together with a decline of the number of schools, teachers or classes, student-teacher ratios have decreased substantially. As a consequence, transition countries are now in the situation where they have a disproportionately large number of schools, teachers and classes. This oversized system does not appear to have led to great results in terms of the quality of education.

Between East and West: Regional Trade Policy for Ukraine

Policy Brief Building in Kyiv, Ukraine and Globe

Given Ukraine’s geographical location between Europe and Russia, the country often has to make difficult choices in its foreign policy. Trade policy is not an exception. In particular, Ukraine is currently negotiating a comprehensive free trade agreement with the EU, which is fostering hopes of joining it in the near future. However, at the same time, Russia is ‘inviting’ Ukraine to join the Customs Union it has created together with two other former Soviet Republics; Belarus and Kazakhstan. Since Ukraine cannot be part of both regional agreements simultaneously, it will again have to choose between the EU and Russia.

Over the last decade, the European Union has become the most important trading partner of Ukraine. The share of Ukraine’s exports of goods to the EU is now around 25-30 percent, while its share in Ukraine’s exports of services has increased twofold from 17 percent in 1994 to 34 percent in 2008. The share of Ukraine’s imports from the EU is even larger: around 35 percent in goods and more than 50 percent in services. This growth in trade shares has occurred despite the fact that there are still substantial barriers, both tariff and non-tariff, to free trade between Ukraine and the EU. The Free Trade Agreement (FTA) which Ukraine and the EU are currently negotiating is intended to remove many of these barriers.

The EU-Ukraine FTA is part of the so-called New Enhanced Agreement between the EU and Ukraine and consists of a set of provisions stipulating the liberalization of trade in goods and services, capital movement and payments, and government procurement.

A big part of the agreement is devoted to the trade in goods. This is perhaps not surprisingly so given that trade in goods accounts for 80 percent of their total bilateral trade in goods and services. Tariffs that Ukraine currently applies to the EU non-agricultural imports vary from 0 to around 20 percent. Under the new agreement, the tariffs on many of these goods will be reduced.

Apart from tariffs, the agreement stipulates an elimination of many non-tariff barriers to trade. This will be achieved by harmonization and simplification of the procedures related to customs and licensing, capital movement, government procurement, and intellectual property rights (IPR) protection, as well as competition policy, energy security and others. Ukrainian legislation must be standardized to conform to the respective European laws, with some procedures becoming more transparent (tenders), while others becoming more stringent (IPR). For example, Ukrainian producers will have to abide by the legislation on trademarks and geographical names. According to the Ukrainian deputy minister of Economy, the EU has offered a grace period of 5-10 years to Ukrainian producers to re-brand their products.

The FTA negotiation process between the EU and Ukraine started on February 18, 2008. Since then, more than fifteen rounds have taken place. Initially, there were hopes that the agreement would be signed before the end of 2010. However, in the fall of 2010, it became clear that this was not going to happen. Currently, the more pessimistic experts expect the agreement to be signed only in 2013.

In parallel with the EU integration processes, Russia, Belarus and Kazakhstan have created a customs union and are actively trying to involve Ukraine in their union. On the one hand, the Customs Union is attractive for Ukraine since it offers free trade with Russia, which is still one of Ukraine’s biggest trading partners, both in terms of imports and exports.

This union promises access to cheaper energy resources, which would be beneficial for Ukraine given its high energy dependence, especially in the exporting sectors like metals and chemicals. However, joining this Customs Union would jeopardize the FTA negotiations with the EU and would even endanger the WTO membership of Ukraine.

So far, the Ukrainian government has not taken a clear stance on whether Ukraine is going to become a full member of the Customs Union. Instead, it has cautiously offered a “3+1” arrangement.

In the light of the above discussion, the natural question to ask is then: what integration strategy would Ukraine benefit the most from?

Regional Trade Agreements

The idea that regional trade agreements (RTA) are beneficial to a country is best supported by the fact that such agreements have become increasingly popular over the last twenty years. As of July 31, 2010, there were around 400 RTAs reported to the WTO with 193 being in force. According to the World Bank, on average, a WTO member has regional agreements with more than 15 partner countries. RTAs exist predominantly as free trade agreements (FTA) and customs unions (CU). The former removes barriers to trade in goods and services among member countries but allows individual members to set their own tariffs against third parties. The latter type is a stricter arrangement since customs unions act as a single agent in the world markets and have a unified external tariff regime.

The analysis of RTAs and customs unions in particular, dates back to Viner in 1950 who introduced the terms trade creation versus trade diversion. Trade creation refers to a situation where member countries begin to trade goods and services with each other after the creation of an RTA, whereas previously they produced them domestically. Trade diversion, on the other hand, occurs when member countries shift their imports from outside partners to inside partners. Obviously, while trade creation is viewed as a good consequence of a RTA, trade diversion is undesirable. This, since the lower tariffs, make member countries shift away from the most efficient outside producer to an RTA partner.

There are two approaches in the literature to evaluate the impact of the RTAs: gravity models and general equilibrium (GE) models. Gravity models are estimated on the actual trade data while GE models are used for simulations. The typical findings on the effect of RTA’s are that: (a) excluded countries almost always lose, (b) there is a trade creation effect but it is rather small, and (c) the effect of the RTAs differs across their members, in particular, smaller countries tend to experience a larger increase in their exports (World Bank, 2005; Berthelon, 2004).

In addition, the so-called South-North RTAs (agreements between developed and developing countries), are found to be more beneficial for the latter than South-South agreements. Finally, the literature shows that on average FTAs are associated with lower levels of tariffs compared to customs unions.

Ukraine’s Choice of Trade Policy

The above presented empirical findings on existing RTAs, can offer guidance in which of the regional agreements Ukraine would benefit the most from. First, on the one hand, both of the FTA with the EU and the Customs Union with Russia are likely to lead to higher trade volumes (trade creation). On the other hand, the FTA with the EU can be regarded as a South-North agreement and could, therefore, be expected to have larger benefits for Ukraine than the Customs Union with Russia. Another argument in favor of the EU-FTA, is that Ukraine’s other trading partners are likely to face higher tariffs if Ukraine became a member of the Customs Union, than if she signed an FTA with the EU.

A recent study by Shepotylo (2010) addresses this issue and can be used as a benchmark for the analysis. Shepotylo uses a gravity model to compare potential export gains from deeper integration with the CIS countries to those from integration with the EU. Shepotylo’s analysis evaluates whether integration would be trade creating or not, leaving aside the issue of trade diversion.

Based on past experiences of Eastern European and CIS countries, Shepotylo builds two thought experiments. The first one is based on the scenario in which Ukraine would have become more deeply integrated into the CIS structure. That is, the experiment allows us to see what would have happened to Ukrainian foreign trade over the period 2004-2007 if Ukraine had developed closer ties with the CIS countries. The second experiment envisages what would have happened if Ukraine would have joined the EU in 2004.

According to the results, Ukraine would have benefited under both integration scenarios relative to the current situation of no integration. However, the benefits would have been twice as high under the EU integration strategy. Shepotylo’s results suggest that the EU integration could have increased Ukrainian exports in 2004-2007 by 10 percent, while the deeper CIS integration would only have increased exports by about 4 percent.

The highest expected benefits of Ukraine’s integration into the EU would have come from a substantial increase in export of various types of machinery and equipment, road vehicles and transport equipment, as well as apparel and closing accessories. These gains would have been virtually uniformly positive and economically large across all groups of countries regardless of the membership in EU. For example, export of road vehicles to the CIS countries would have been 88 percent higher under the EU integration scenario than under the CIS integration scenario, while their exports to the Western Europe would have been 82 percent higher. The export of raw materials, on the other hand, would have either declined (nonferrous metals), or remained relatively stable (iron and steel).

More importantly, gains under the EU scenario would also have come from a more diversified trade structure. A higher export diversification would be achieved because of the rapid expansion of manufactured exports, the share of which in total export would have been 26 percent under the EU scenario and only 16 percent under the CIS scenario.

In our view, diversification of trade flows is very important since a more diversified export structure with a high share of manufactured products can better protect a country from negative terms-of-trade shocks. For example, export diversification reduces the effect of idiosyncratic shocks. This was found by Koren and Tenreyro (2007). According to their findings, low-income countries which specialize in fewer and more volatile sectors, experience higher aggregate volatility in terms of GDP growth rates and trade volumes, etc. Another reason to why a more diversified trade flow (i.e. moving away from exports of primary goods to exports of manufactured products) is desirable, is the general trend of declining prices of primary commodities relative to the prices of manufactured goods. Also, a diversified export structure with a higher share of technologically advanced products has been found to be conducive for higher economic growth (Hausmann et al., 2007).

Conclusion

The above analysis suggests that signing a deep FTA with the EU would benefit Ukraine the most. This, given that it is likely to lead to a substantial increase in total exports and a favorable change in export composition towards a more diversified structure with a higher share of technologically advanced goods. These developments could in turn lower macroeconomic volatility and boost economic growth. Also, the EU integration scenario considered by Shepotylo (2010) did not allow for a substantial liberalization of trade in agriculture – an area where the large EU market is most protected. If the Ukrainian government manages to negotiate more open trade in agriculture, Ukraine may potentially gain much more than predicted in Shepotylo’s experiment.

On the other hand, joining the Customs Union with Russia would enhance the trade with its members and secure a lower price for energy resources. However, the benefits are likely to be outweighed by the potential losses of other markets and complications with the WTO due to the increased level of protectionism – an inevitable consequence of joining the Customs Union. In addition, the Ukrainian trade structure would become even more concentrated and skewed towards primary commodities, making the country even more vulnerable to shocks and slowing down its economic development.

Recommended Further Reading

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.