Tag: investments

Beyond North Africa: Ukraine’s Agricultural Engagements with Sub-Saharan Partners

Posted on June 12, 2025 | Policy Brief

Farmworkers harvesting leafy vegetables in a lush green field with mountains in the background, illustrating hands-on labor central to Ukraine's agricultural engagements.

In recent years, the global agricultural landscape has shifted dramatically, shaped by the intersecting crises of climate change, food insecurity, geopolitical tensions, and technological disruption. Against this backdrop, Ukraine and Sub-Saharan Africa have emerged as two regions uniquely positioned to build a complementary partnership in the agri-food sector – one that not only addresses immediate humanitarian and trade challenges but also lays the groundwork for long-term sustainable development. As Ukraine looks to diversify its agricultural partnerships beyond traditional European and Asian markets, Ukraine’s agricultural engagements with Africa offer both a growing consumer base and an investment frontier where Ukraine’s expertise and surplus production capacity can meet critical demand. This policy brief explores how Ukraine’s agricultural engagements with certain African countries can deepen cooperation across the agricultural value chain. Drawing on in-depth regional analyses conducted by the Kyiv School of Economics Agrocenter (Martyshev, Stolnikovych & Piddubnyi, 2024a–d), the discussion considers strategic sectors, regional particularities, and policy innovations essential for a robust and mutually beneficial partnership.

Ukraine Agricultural Engagements with Africa: Opportunities for Growth and Partnership

Ukraine is one of the world’s most productive agricultural exporters, supplying significant volumes of wheat, corn, sunflower oil, and other essential staples. Africa, by contrast, is grappling with an array of food production and security challenges. In many regions, agricultural productivity remains stubbornly low, constrained by underinvestment, poor infrastructure, limited irrigation, climate volatility, and outdated farming techniques. Yet, Africa’s demographic trends suggest a rapidly growing demand for food. Urbanization is accelerating, dietary preferences are shifting, and consumers are increasingly looking beyond subsistence crops toward diversified and processed foods. These dynamics set the stage for Ukraine to serve not just as a food exporter, but also as a strategic partner in Africa’s agricultural transformation.

In a series of recent regional reports by the Kyiv School of Economics Agrocenter, all titled Cooperation Between Ukraine and African Countries in Agriculture, (Martyshev, Stolnikovych & Piddubnyi, 2024a,b,c,d), the Kyiv School of Economics (KSE) explored the mutually beneficial opportunities for collaboration between Ukraine and Africa in the agricultural sector. The full reports covering Central, East, Southern, and West Africa are available at https://agrocenter.kse.ua. This brief summarizes the key findings and insights drawn from those reports.

Data and Methods

A standardized analytical framework across four African regions, Central, East, Southern, and West Africa, focusing on three major countries in each region, was applied. The objective was to, through data-drive insights, assess the potential for agricultural cooperation with Ukraine in food security, trade, production systems, and policy environments.

  • Food security analysis relies on indicators from FAOSTAT and the World Bank, including prevalence of undernourishment, dietary energy adequacy, and trends in malnutrition from 2000 to 2022.
  • Trade analysis uses data from UN Comtrade, ITC Trade Map, Ukrainian customs, and national sources to evaluate import-export flows, Ukraine’s market share, and commodity dependencies, particularly in cereals and vegetable oils.
  • Agricultural sector profiling includes employment, GDP contribution, key crop and livestock outputs, and irrigation coverage. Data are drawn from FAOSTAT, national agricultural statistics, and World Development Indicators.
  • Infrastructure and technology assessments are based on literature reviews and secondary sources evaluating the state of storage, logistics, irrigation, and mechanization. Attention is given to adoption of modern tools like drones and ICT platforms.
  • Policy and institutional reviews focus on national agricultural strategies, trade policies, food security programs, and land tenure systems, using official government documents and donor evaluations.
  • For East and West Africa, findings were also informed by stakeholder input from KSE Agrocenter webinars held in 2024, involving local policymakers, researchers, and trade representatives.

This mixed-methods approach enabled a comparative, region-specific understanding of agri-food challenges and opportunities relevant to Ukraine’s engagement in Africa.

Empirical Findings and Policy Recommendations

Trade: A Nascent but Promising Relationship

The trade relationship between Ukraine and Africa, while still developing, shows considerable potential. Based on empirical trade flow data, Ukraine’s primary exports to Africa include cereals like wheat and corn, along with vegetable oils. Imports from Africa, however, are minimal, revealing the one-sided nature of current trade. This asymmetry is due to limited diversification, logistical barriers, and underdeveloped bilateral trade frameworks. Trade activity is concentrated in North and West Africa, while countries in Central, Eastern and Southern Africa receive fewer Ukrainian goods. Engagement with regional trade blocs such as the Economic Community of West African States (ECOWAS) and the East African Community (EAC) presents both regulatory hurdles and strategic entry points.

Based on observed trade gaps, the policy recommendation is to expand Ukraine’s access to African markets by negotiating preferential trade agreements and eliminating non-tariff barriers. Appointing agrarian attachés in African capitals can facilitate market entry, monitor regional regulations, and promote Ukrainian products in regional fairs and business forums.

Joint Investment Opportunities

Based on field-level evidence and investment data, agriculture in Central and East Africa is constrained by severe infrastructure deficits. Post-harvest losses, driven by the absence of proper storage, cold chains, and road networks, are estimated to cost billions in lost output annually. The strategic proposal is for Ukraine to co-invest in building post-harvest systems, leveraging its expertise in grain storage and export logistics. Ukrainian firms could collaborate with African partners on silos, warehouses, and cold storage tailored to tropical climates.

Food processing also represents a high-potential area. Many East African countries impose protective tariffs on processed food imports to stimulate local industry. Based on these findings, the policy recommendation is for Ukraine to establish agro-processing joint ventures that align with local industrial policies. These ventures would stimulate employment, reduce food imports, and strengthen Ukraine’s position in value-added agriculture abroad.

Technology Transfer Potential

Empirical assessments reveal that low mechanization, climate volatility, and limited access to agri-tech remain persistent barriers to productivity in much of sub-Saharan Africa. Ukraine, with its advanced capabilities in precision agriculture, can provide high-impact technologies such as satellite-based soil monitoring, drones for crop surveillance, and automated irrigation systems. For example, in parts of Southern Africa like Zambia and Namibia, where rainfall is unpredictable, these technologies can help stabilize crop yields and reduce risk for smallholder farmers.

The strategic proposal is for Ukrainian firms to develop demonstration farms and pilot projects that showcase these innovations. Based on successful models from Eastern Europe, these pilots could serve as training grounds for local agronomists and as proof-of-concept for scalable investment.

Regional Variability and Context-Specific Cooperation

Central Africa (e.g., the Democratic Republic of the Congo (DRC), Angola, Cameroon)

Based on food security metrics, Central Africa faces some of the highest levels of undernourishment on the continent. In DRC for example, more than one-third of the population is chronically underfed. Political instability and unclear land rights further hinder agricultural investment.

The strategic recommendation is to continue and scale humanitarian programs like “Grain from Ukraine,” while also offering technical support in veterinary services for cattle and poultry sectors, particularly in Angola and Cameroon. Ukrainian expertise in land reform and extension services could also help unlock investment in rural farming.

East Africa (e.g., Ethiopia, Kenya, Tanzania)

Agricultural productivity is improving in East Africa, but gaps remain. Based on infrastructure and yield data, the region struggles with limited access to farm machinery, irrigation systems, and post-harvest technology. The policy recommendation is to focus on joint research, agricultural education, and training programs that address these specific bottlenecks. Ukrainian institutions could work with African universities to design curricula on crop science, data-driven farming, and agri-business entrepreneurship. Mobile extension services and remote learning platforms could further boost rural outreach.

Southern Africa (e.g., South Africa, Botswana, Namibia)

This region has a more developed agricultural sector with export orientation and mechanization. However, environmental and political factors, such as energy shortages and water scarcity, threaten sustainability. Based on these empirical conditions, the strategic proposal is for Ukraine to engage through agri-consulting and technology partnerships. High-value inputs like hybrid seeds and automated irrigation systems can address local constraints, while cooperation on renewable energy solutions for farming could provide long-term stability.

West Africa (e.g., Nigeria, Ghana, Côte d’Ivoire)

According to population and consumption data, West Africa faces mounting pressure on food systems. Despite improving domestic output, infrastructure deficits and policy inconsistency limit food availability. Based on these findings, the strategic recommendation is to invest in logistics infrastructure, such as road and rail links to key ports and warehouses, as well as to diversify the region’s agricultural base. Ukrainian seed companies could introduce crops like barley and legumes, adapted to regional climates, to reduce dependence on cocoa and palm oil.

Conclusion

In conclusion, the partnership between Ukraine and Sub-Saharan Africa in the agricultural sector is not merely a matter of commerce; it is a strategic opportunity with tangible benefits for both sides. Ukraine, as a breadbasket with advanced agri-tech capabilities, can play a pivotal role in enhancing food systems in parts of Africa where food insecurity remains acute, particularly in regions such as the Horn of Africa (e.g., Somalia and Ethiopia), the Sahel (e.g., Niger and Mali) and Central Africa (e.g., the Democratic Republic of the Congo). At the same time, many African nations offer Ukraine access to growing consumer markets, underutilized arable land, and increasing geopolitical relevance in a rapidly evolving global landscape.

To realize this vision, both sides must commit to a comprehensive, long-term strategy built on trust, transparency, and mutual benefit. The road ahead is complex but filled with promise. With smart investments, targeted diplomacy, and collaborative innovation, Ukraine and Africa can co-author a new chapter in global agriculture, one defined not by scarcity and dependency, but by resilience, growth, and shared prosperity.

References

Central Africa

  • Martyshev, P., Stolnikovych, H., Piddubnyi, I. (2024a). Cooperation between Ukraine and African countries in agriculture: Central Africa. Center for Food and Land Use Research at Kyiv School of Economics.
  • Abia, W. A., Shum, C. E., Fomboh, R. N., Ntungwe, E., & Ageh, M. T. (2016). Agriculture in Cameroon: Proposed Strategies to Sustain Productivity. International Journal for Research in Agricultural Research, 2(2), 1–14.
  • Africa24. (2024, January 25). Cameroon reduces state fees for agricultural enterprises by 92%.
  • African Development Bank. (2022). Cameroon – Agricultural Production Support Program (PARPAC).
  • African Development Bank. (2023). Angola – Agriculture Sector Reform Program (ASRP).
  • African Development Bank. (2024). African Economic Outlook 2024: Driving Africa’s Transformation.
  • Arsene, M. B., & Mwine Fyama, J. N. (2021). Potential threats to agricultural food production and farmers’ coping strategies in the marshlands of Kabare in the Democratic Republic of Congo. Cogent Food & Agriculture, 7(1), 1933747.
  • Binswanger-Mkhize, H. P. (2008). Empowering Rural People for Their Own Development. FAO.
  • Boko, M. I., Niang, A., Nyong, C., et al. (2007). Africa Climate Change: Impacts, Adaptation and Vulnerability. IPCC, Fourth Assessment Report.
  • CAADP. (2013). Agriculture Investment Opportunities Brief: CAADP Investment Facilitation Programme – DRC.

East Africa

  • Martyshev, P., Stolnikovych, H., Piddubnyi, I. (2024b). Cooperation between Ukraine and African countries in agriculture: East Africa. Center for Food and Land Use Research at Kyiv School of Economics.
  • Achandi, E., Mujawamariya, G., Agboh-Noameshie, A., et al. (2018). Women’s access to agricultural technologies in rice production and processing hubs: A comparative analysis. Journal of Rural Studies, 60, 188–198.
  • African Development Bank. (2024). African Economic Outlook 2024.
  • Ayenew, M., & Arquitt, S. (2018). Kenya Agricultural Performance and Targets. CCGA Policy Brief No. 2.
  • Bekabil, U. T. (2014). Review of challenges in Ethiopia. Journal of Natural Sciences Research, 4(18), 70–77.
  • Casaburi, L., Kremer, M., & Mullainathan, S. (2016). Contract farming and agricultural productivity in Western Kenya. In S. Edwards et al. (Eds.), African Successes, Vol IV. University of Chicago Press.
  • Charles, G., Jeppesen, S., Kamau, P., & Kragelund, P. (2016). Food-processing sector study. Forum for Development Studies, 44(1), 109–131.
  • FAO. (2015–2016). AQUASTAT Country Profiles – Kenya, Ethiopia, Tanzania.
  • Government of Kenya. (2007). Kenya Vision 2030.
  • Government of Tanzania. (2015). Agricultural Sector Development Strategy II (ASDS II).
  • Kashindi, G. (2020). Local agricultural production in Kenya. KAS African Law Study Library, 7.
  • Laichena, J., Kiptoo, E., et al. (2022). Kenya agricultural policy profile. IWMI/CGIAR.

Southern Africa

  • Martyshev, P., Stolnikovych, H., Piddubnyi, I. (2024c). Cooperation between Ukraine and African countries in agriculture: South Africa. Center for Food and Land Use Research at Kyiv School of Economics.
  • Acquah, B. K. (2004). In Shaping the Future of African Agriculture for Development. AAAE.
  • AgriSA. (2024). Key Issues for South African Agriculture.
  • Bank of Namibia. (2017). Feeding Namibia: Agricultural Productivity and Industrialisation.
  • Commission on Restitution of Land Rights. (2021). Strategic Plan 2021–2024.
  • Department of Agriculture, Land Reform and Rural Development. (2022, 2024). Agriculture and Agro-Processing Master Plan; State Land Lease and Disposal Policy.
  • Department of Rural Development and Land Reform. (2013). NARYSEC Booklet.
  • Financial and Fiscal Commission. (2021). Strategic Plan 2020–2025.
  • Fortunato, A., & Enciso, S. (2023). Food for Growth: Namibia’s Agriculture Sector. Harvard Growth Lab.
  • Giesel, C. (2023). Agriculture Challenges in South Africa. Bizcommunity.
  • GIZ. (2020). Sector Brief: Namibia Agriculture.
  • Government of Namibia. (2004–2017). Vision 2030, Agriculture Policy, Development Plans, and Cooperative Policy.
  • Namibia Statistics Agency & UNICEF. (2021). Multidimensional Poverty Index Report.

West Africa

  • Martyshev, P., Stolnikovych, H., Piddubnyi, I. (2024d). Cooperation between Ukraine and African countries in agriculture: West Africa. Center for Food and Land Use Research at Kyiv School of Economics, https://kse.ua/wp-content/uploads/2024/06/COOPERATION-BETWEEN-UKRAINE-AND-AFRICAN-COUNTRIES-IN-AGRICULTURE-WEST-AFRICA-.pdf
  • Banson, K., Nguyen, N., & Bosch, O. (2014, 2015). Systems Research and Behavioral Science.
  • Diallo, S., Fofana, I., & Diallo, M. (2020). AGRODEP Working Paper 0041. IFPRI.
  • FAO. (2005–2016). AQUASTAT Country Profiles – Ghana, Nigeria, Côte d’Ivoire.
  • FAOSTAT. (2023). Food, Beverages and Tobacco Data.
  • FMARD. (2022). National Rice Development Strategy II (2020–2030).
  • Ghana Business News. (2009). The Challenge of Agriculture in Ghana.
  • Jalloh, A., Nelson, G., Thomas, T., et al. (2013). West African Agriculture and Climate Change. IFPRI Monograph.
  • JICA. (2023). Côte d’Ivoire Country Analysis Paper (JCAP).
  • King, C. (2008). Community resilience in agri-ecological systems. Systems Research and Behavioral Science, 25(1), 111.
  • Kouassi, J-L., Gyau, A., et al. (2021). Land, 10(4), 429.
  • NEPAD. (2003). Maputo Declaration on Agriculture and Food Security.
  • Nitag Consults Ltd. (2009). Agricultural Development Review.
  • Olukunle, O. (2013). Challenges and Prospects of Agriculture in Nigeria. Journal of Economics and Sustainable Development, 4(16).
  • USDA. (2023). Nigeria Grain and Feed Update (GAIN Report NI2023-0008).

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.

Complementary but Different: The Politics of Green Industrial Policy and Carbon Pricing

Posted on April 28, 2025 | Policy Brief

Sweden, historically a global leader in carbon pricing, has recently made a significant shift in its climate policy towards green industrial policy. It has moved away from environmental taxation – reflected in reduced transport fuel tax rates and increased emissions from the transport sector – towards a state-driven energy policy centered on nuclear power. To support the planned construction of ten new nuclear reactors, the Swedish government has proposed loan guarantees and state loans of up to $40 billion (Persson, 2022). By lowering transport fuel tax rates while simultaneously offering state support for nuclear energy, Sweden is treating carbon pricing and green industrial policy as substitutes rather than complements. This policy brief challenges that approach, arguing that carbon pricing and green industrial policy should be seen as complementary climate policy instruments. However, their political economies differ significantly, making industrial policy more politically feasible. Yet, the two key challenges with green industrial policy are how to finance it and how to “pick winners” – choosing which technologies and companies to support. We use the recent bankruptcy of Swedish battery manufacturer Northvolt as a case study to illustrate these challenges.

Two Climate Policy Instruments

Over the past decade, climate policymaking has undergone a significant shift. Governments in Europe, USA, and China have increasingly adopted green industrial policy as a central strategy to reduce carbon emissions, moving beyond the traditional focus on carbon pricing.

Green industrial policy serves both environmental and economic purposes. It mobilizes government efforts toward decarbonization while fostering the development of zero-carbon technologies and domestic firms to drive employment, innovation, and growth in green sectors (Rodrik, 2014). Common policy tools include subsidies, loan guarantees and state loans. Sweden’s emphasis on loan guarantees and state loans to support nuclear energy is not unusual, as these are among the most widely used industrial policy instruments in rich countries (Juhasz, Lane, and Rodrik, 2023). A historical parallel can be found in France, which relied on state loans and loan guarantees in the 1970s and 1980s to support its nuclear energy expansion (Andersson and Finnegan, 2024).

Carbon pricing, on the other hand, focuses solely on emissions by putting a price on the negative externality of carbon emissions. By equalizing the private and social cost of releasing carbon, carbon pricing leaves it to the market – firms and households – to decide how to most effectively reduce emissions. While carbon pricing is a form of government intervention to correct a market failure, it is technology neutral, and the state is not actively steering the economy toward specific pathways of decarbonization in the same way that green industrial policy does.

Complements Rather Than Substitutes

At its core, decarbonization requires shifting the cost advantage from fossil fuels to the zero-carbon alternatives of wind, solar, and nuclear. The key factor is the relative price between the two energy categories. This shift can be achieved by increasing the cost of fossil fuels through carbon pricing or by lowering the cost of zero-carbon energy via industrial policy.

The cost of energy production – particularly electricity – can be divided into three main components: capital investment costs, operation and maintenance, and fuel costs (IEA, 2005; 2020). While operation and maintenance costs are typically a minor share of the (levelized) cost of electricity for all energy sources, there are large differences in investment and fuel costs between fossil fuels and zero-carbon alternatives. The cost of fossil fuels is sensitive to fuel prices, which often account for more than half (coal), to around 80 percent (natural gas), of total costs in most regions. Wind and solar, on the other hand, have zero fuel costs but are highly dependent on capital investment costs, making them particularly sensitive to interest rates. Nuclear energy, though requiring some fuel costs, is also predominantly capital-intensive (IEA, 2015).

Because of these differences in cost structure between the energy categories, carbon pricing and industrial policy work as complements rather than substitutes. Carbon pricing raises the variable fuel costs of fossil fuel-based energy, making it less competitive, while industrial policy can reduce the fixed capital costs of zero-carbon technologies, improving their affordability. A well-balanced climate strategy may employ both approaches to achieve decarbonization. A revenue-neutral model could even use carbon pricing revenues to fund industrial policy, balancing cost burdens and investment incentives.

Figure 1 illustrates how the two policy instruments of carbon pricing and industrial policy are complements when it comes to climate policy as they both shift the relative price in favor of zero-carbon energy sources.

Figure 1. Decarbonization and relative prices

Source: Authors’ illustration.

Differences in Their Political Economy

Despite their complementarity, the political economy of carbon pricing and green industrial policy differs significantly, making the latter more politically feasible.

First, carbon pricing and green industrial policy differ in how they distribute costs and benefits across time and geography. Carbon taxes impose short-term, localized, and visible costs on consumers and producers while generating long-term, globally dispersed benefits. Because the costs and benefits are unevenly distributed over time and space, the households that bear the costs are likely not the same as those that receive the benefits. In contrast, green industrial policy can create immediate and visible local benefits for households and businesses, while spreading the costs more broadly. These costs can be distributed nationally using general taxation, internationally through global climate funds, or shifted into the future via deficit spending.

Second, carbon pricing generates a first-mover disadvantage, as the implementing country will incur higher energy prices for producers and consumers and thus potential deindustrialization and unemployment as firms relocate to countries with less stringent climate policy and lower energy costs. Green industrial policy inverts this narrative by incentivizing low-carbon firms to relocate to countries offering substantial state support. As a result, the first country that adopts generous green subsidies will put political pressure on other countries to do the same for fear of job loss and diminished competitiveness. This dynamic has been in play over the last couple of years with European leaders fearing the impact on European competitiveness of the Inflation Reduction Act in the U.S. – the largest climate bill ever implemented in that country – and green industrial policy in China. In this sense, subsidies offer a first-mover advantage, encouraging early adoption.

Combined, these two important political economy factors make green industrial policy more politically feasible by increasing public and political support compared to carbon pricing.

The first-mover advantage of green industrial policy also has important implications for global climate policy. The advantage, coupled with increasing opportunity costs of non-adoption (loss of competitiveness), can result in an equilibrium where the largest economies, such as the U.S., China, and the EU, all adopt similar green industrial policies. The first country that adopts green industrial policy pressures other nations to follow suit, fearing job losses, diminished competitiveness, and market-share erosion, creating a domino effect that results in a global implicit carbon price. This outcome is an equilibrium since none of the “players”, observing the choices made by others, have an incentive to withdraw their state support and subsidies for the green sector.

In contrast, a globally imposed carbon price using taxes, such as through international agreements like the Paris Agreement, does not constitute an equilibrium. Countries under such an agreement continuously face incentives to defect by repealing their carbon taxes to gain competitive advantages and free-ride on the ambitions of others. To transform such an agreement into a stable equilibrium, there must be credible punishment mechanisms – such as border carbon adjustments that penalize imports from defecting countries – to reduce incentives for free-riding (Nordhaus, 2015). Yet, such a global agreement with credible punishments has remained elusive, reflecting the complexities of international cooperation.

Two Key Challenges

While politically more feasible compared to carbon pricing, governments face two key challenges with industrial policy: how to finance it and how to select the right technologies and companies to support. These challenges are not just theoretical – they have real-world consequences. The recent failure of the Swedish battery manufacturer Northvolt highlights the potential risks governments face when using industrial policy.

Founded in 2015, Northvolt aimed to supply batteries for electric vehicles and energy storage, positioning itself as Europe’s main competitor to dominant Chinese manufacturers. With a rapid expansion of factories, the company struggled with production delays, mounting losses, and an inability to secure additional capital investments, ultimately leading to its bankruptcy. The Swedish government has provided some economic support but was unwilling to match the kind of large-scale state subsidies that China provides to its battery industry (Ekström och Mikaelsson, 2024). Likely, the level of financial support required for Northvolt to compete globally would need to come from the EU level, rather than national funding alone (Milne et al., 2025). The Northvolt case emphasizes one of the main challenges for green industrial policy: financing. Unlike carbon pricing, which generates revenue, industrial policy requires substantial government funding. High fiscal costs may limit its feasibility outside of large economies like China, the U.S., and the EU.

Furthermore, even if Sweden had provided stronger financial support – similar to its proposed subsidies for nuclear energy – Northvolt may still have failed due to technological competition. Experts suggest that Chinese competitors will be reluctant to acquire Northvolt’s Swedish factory, as Chinese investors believe it’s not correctly constructed for battery manufacturing (Nordensson, 2025). This underscores the second risk of industrial policy: governments may invest in technologies and companies that ultimately fail to compete.

Conclusion

Carbon pricing and green industrial policy are complementary tools for climate mitigation, but their distinct political economies make industrial policy more politically feasible. However, with green industrial policy, governments are faced with the risks of “picking winners” and how to finance the policy.

Sweden faces these two risks with its nuclear energy strategy. For instance, the levelized cost of nuclear energy has risen over time (Bilicic and Scroggins, 2023). Today, nuclear is the most expensive source for new grid capacity, while wind and solar are the cheapest. By 2045, when Sweden’s planned ten new reactors are expected to be operational, renewables may be so cheap that nuclear power struggles to compete, leading to financial losses and high electricity prices (SVT, 2024). In this sense, Sweden’s focus on a single zero-carbon technology may turn out to be a costly mistake.

Sweden should use green industrial policy as a complement to, rather than a substitute for, its previous carbon pricing strategy. Furthermore, to reduce the risks of not picking the “winners,” it should diversify its support across multiple zero-carbon technologies – including electric vehicles, battery manufacturing, solar, and wind – rather than focusing narrowly on nuclear power.

References

  • Andersson, J. and Finnegan, J. (2024). Industrial Policy and Decarbonization: The Case of Nuclear Energy in France. Working Paper.
  • Bilicic, G. and Scroggins, S. (2023). 2023 Levelized Cost of Energy+. Lazard.
  • Ekström, J., and Mikaelsson, C. (2024). Därför nobbar regeringen Northvolt. Svenska Dagbladet. October 6, 2024.
  • IEA. (2005). Projected Costs of Generating Electricity: 2005 Edition. International Energy Agency. Paris.
  • IEA. (2015). Projected Costs of Generating Electricity: 2015 Edition. International Energy Agency. Paris.
  • IEA. (2020). Projected Costs of Generating Electricity: 2020 Edition. International Energy Agency. Paris.
  • Juhazc, R., Lane, N., and Rodrik, D. (2023) The New Economics of Industrial Policy. Working Paper 31538, National Bureau of Economic Research.
  • Milne, R., Johnston, I. and Bounds, A. (2025). Boss of bankrupt Northvolt urges Europe to invest in homegrown battery sector. Financial Times. March 13, 2025.
  • Nordensson, B. (2025). Expert: Inga utsikter driva Northvolt vidare. Svenska Dagbladet. March 12, 2025.
  • Nordhaus, W. (2015). Climate Clubs: Overcoming Free-riding in International Climate Policy. American Economic Review, 105(4), 1339–1370
  • Persson, I. (2022). Allt du behöver veta om ’Tidöavtalet. SVT Nyheter. 14 October, 2022.
  • Rodrik, D. (2014). Green Industrial Policy. Oxford review of economic policy 30 (3):469-491.
  • SVT Nyheter. (2024). Kärnkraften kan bli nära dubbelt så dyr som regeringen trott. SVT Nyheter. January 25, 2024.

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.

Navigating Market Exits: Companies’ Responses to the Russian Invasion of Ukraine

Posted on May 20, 2024 | Policy Brief

20240519 Navigating Market Exits Image 02

Russia’s invasion of Ukraine on 24 February 2022 led to widespread international condemnation. As governments imposed sanctions on Russian businesses and individuals tied to the war, international companies doing business in Russia came under increasing pressure to withdraw from Russia voluntarily. In the first part of this policy brief, we show what kind of companies decided to leave the Russian market using data collected by the LeaveRussia project. In the second part, we focus on prominent Swedish businesses which announced a withdrawal from Russia, but whose products were later found available in the country by investigative journalists from Dagens Nyheter (DN). We collect the stock prices for these companies when available and show how investors respond to these news.

Business Withdrawal from Russia

The global economy is highly interconnected, and Russia forms an important part. Prior to the invasion, Russia ranked 13th in the world in terms of global goods exports value and 22nd in terms of imports (Schwarzenberg, 2023). In the months following the full-scale invasion of Ukraine, Russia’s imports dropped sharply (about 50 percent according to Sonnenfeld et al., 2022). Before February 24th, Russia’s main trading partners were China, the European Union (in particular, Germany and the Netherlands) and Belarus (as illustrated in Figure 1). While there is some evidence of Russia shifting away from Western countries and towards China following the annexation of Crimea in 2014 and the resulting sanctions, Western democracies still made up about 60 percent of Russia’s trade  in 2020 (Schwarzenberg, 2023). In the same year, Sweden’s exports to Russia accounted for 1.4 percent of Sweden’s total goods exports, of which 59 percent were in the machinery, transportation and telecommunications sectors. 1.3 percent of Swedish imports were from Russia (Stockholms Handelskammare, 2022).

Figure 1. Changes in trade with Russia, 2013-2020.

Source: IMF Direction of Trade Statistics, data until 2020. From Lehne (2022).

In response to Russia’s invasion of Ukraine in February 2024, Western governments imposed strict trade and financial sanctions on Russian businesses and individuals involved in the war (see S&P Global, 2024). These sanctions are designed to hamper Russia’s war effort by reducing its ability to fight and finance the war. The sanctions make it illegal for, e.g., European companies to sell certain products to Russia as well as to import select Russian goods (Council of the European Union, 2024). Even though sanctions do not cover all trade with Russia, many foreign businesses have been pressured to pull out of Russia in an act of solidarity. The decision by these businesses to leave is voluntary and could reflect their concerns over possible consumer backlash. It is not uncommon for consumers to put pressure on businesses in times of geopolitical conflict. For instance, Pandya and Venkatesan (2016) find that U.S. consumers were less likely to buy French-sounding products when the relationship between both countries deteriorated.

The LeaveRussia Project

The LeaveRussia project, from the Kyiv School of Economics Institute (KSE Institute), systematically tracks foreign companies’ responses to the Russian invasion. The database covers a selection of companies that have either made statements regarding their operations in Russia, and/or are a large global player (“major companies and world-famous brands”), and/or have been mentioned in relation to leaving/waiting/withdrawing from Russia in major media outlets such as Reuters, Bloomberg, Financial times etc. (LeaveRussia, 2024). As of April 5th, 2024, the list contains 3342 firms, the companies’ decision to leave, exit or remain in the Russian market, the date of their announced action, and company details such as revenue, industry etc. The following chart uses publicly available data from the LeaveRussia project to illustrate patterns in business withdrawals from Russia following the invasion of Ukraine.

Figure 2a shows the number of foreign companies in Russia in the LeaveRussia dataset by their country of headquarters. Figure 2b shows the share of these companies that have announced a withdrawal from Russia by April 2024, by their country of headquarters.

Figure 2a. Total number of companies by country.

Figure 2b. Share of withdrawals, by country.

Source: Authors’ compilation based on data from the LeaveRussia project and global administrative zone boundaries from Runfola et al. (2020).

Some countries (e.g. Canada, the US and the UK) that had a large presence in Russia prior to the war have also seen a large number of withdrawals following the invasion. Other European countries, however, have seen only a modest share of withdrawals (for instance, Italy, Austria, the Netherlands and Slovakia). Companies headquartered in countries that have not imposed any sanctions on Russia following the invasion, such as Belarus, China, India, Iran etc., show no signs of withdrawing from the Russian market. In fact, the share of companies considered by the KSE to be “digging in” (i.e., companies that either declared they’d remain in Russia or who did not announce a withdrawal or downscaling as of 31st of March 2024) is 75 percent for more than 25 countries, including not only the aforementioned, but also countries such as Argentina, Moldova, Serbia and Turkey.

Withdrawal Determinants

The decision for companies to exit the market may range from consumer pressure to act in solidarity with Ukraine, to companies’ perceived risk from operating on the Russian market (Kiesel and Kolaric, 2023). Out of the 3342 companies in the LeaveRussia project’s database, about 42 percent have, as of April 5th, 2024, exited or stated an intention to exit the Russian market. This number increases only slightly to 49 percent when considering only companies headquartered in democratic (an Economist Intelligence Unit Democracy Index score of 7 or higher) countries within the EU. Figure 3 shows the number of companies that announced their exit from the Russian market, by month. A clear majority of companies announce their withdrawal in the first 6 months following the invasion.

Figure 3. Number of foreign companies announcing an exit from the Russian market, 2022-2024.

Source: Authors’ compilation based on data from the LeaveRussia project.

Similarly to the location of companies’ headquarters, the decision to exit the Russian market varies by industry. Figure 4 a depicts the top 15 industries with the highest share of announced withdrawals from the Russian market among industries with at least 10 companies. Most companies with high levels of withdrawals are found in consumer-sensitive industries such as the entertainment sector, tourism and hospitality, advertising etc.

Figure 4a. Top 15 industries in terms of withdrawal shares.

Figure 4b. Bottom 15 industries in terms of withdrawal shares.

Source: Authors’ compilation based on data from the LeaveRussia project.

In contrast, Figure 4b details the industries with the lowest share of companies opting to withdraw from the Russian market. Only around 10 percent of firms in the “Defense” and “Marine Transportation” industries chose to withdraw. Two-thirds of firms within the “Energy, oil and gas” and “Metals and Mining” sectors have chosen to remain in business in Russia following the war in Ukraine.

Several sectors have been identified as crucial in supplying the Russian military with necessary components to sustain their military aggression against Ukraine, mainly electronics, communications, automotives and related categories. We find that many of these sectors are among those with the lowest share of companies withdrawing from Russia. Companies for which Russia constitute a large market share have more to lose from exiting than others. Another reason for not exiting the market relates to the current legal hurdles of corporate withdrawal from Russia (Doherty, 2023). Others may simply not have made public announcements or operate within an industry dominated by smaller companies that are not on the radar of the LeaveRussia project. Nonetheless, Bilousova et al. (2024) detail that products from companies within the sanction’s coalition continue to be found in Russian military equipment destroyed in Ukraine. This is due to insufficient due diligence by companies as well as loopholes in the sanctions regime such as re-exporting via neighboring countries, tampering with declaration forms or challenges in jurisdictional enforcement due to lengthy supply chains, among others. (Olofsgård and Smitt Meyer, 2023).

And Those Who Didn’t Leave After All

The data from the LeaveRussia project details if and when foreign businesses announce that they will leave Russia. However, products from companies that have announced a departure from the Russian market continue to be found in the country, including in military components (Bilousova, 2024). In autumn 2023, investigative journalists from the Swedish newspaper Dagens Nyheter exposed 14 Swedish companies whose goods were found entering Russia, in most cases contrary to the companies’ public claims (Dagens Nyheter, 2023; Tidningen Näringslivet, 2023). For this series of articles, the journalists used data from Russian customs and verified it with information from numerous Swedish companies, covering the time period up until December 2022. This entailed reviewing thousands of export records from Swedish companies either directly to Russia or via neighboring countries such as Armenia, Kazakhstan, and Uzbekistan. All transactions mentioned in the article series have been confirmed with the respective companies, who were also contacted by DN prior to publication (Dagens Nyheter, 2023b). DNs journalists also acted as businessmen, interacting with intermediaries in Kazakhstan and Uzbekistan, exposing re-routing of Swedish goods from a company stated to have cut all exports to Russia in the wake of the invasion (Dagens Nyheter, 2023d).

For Sweden headquartered companies exposed in DN and that are traded on the Swedish Stock Exchange, we collect their stock prices and trading volume. Our data includes information on each stock’s average price, turnover, number of trades by date from around the date of the DN publications as well as the date of each company’s prior public announcement of exiting Russia. Table 1 details the companies who were exposed of doing direct or indirect business with Russia by DN and who had announced an exit from the Russian market previously. In their article series, DN also shows that goods from the following companies entered Russia; AriVislanda, Assa Abloy, Atlas Copco, Getinge, Scania, Securitas Tetra Pak, and Väderstad. Most of the companies exposed by DN operate within industries displaying low withdrawal shares.

Table 1. Select Swedish companies’, time of exit announcement and exposure in Dagens Nyheter and stock names.


Source: The LeaveRussia project, 2023; Dagens Nyheter, 2023b, 2023c, 2023d. Note: The exit statements have been verified through companies’ press statements and/or reports when available. For Epiroc, the claim has been verified via a previous Dagens Nyheter article (Dagens Nyheter, 2023a).

In Figure 5, we show the average stock price and trades-weighted average stock price of the Swedish companies in Table 1 around the time when the companies announced that they are leaving Russia.

Figure 5. Average stock price of companies in Table 1 around Russian exit announcements.

Source: Author’s compilation based on data from Nasdaq Nordic.

There appears to be an immediate increase in stock prices after firms announced their exit from the Russian market. Stock prices, however, reverse their gains over the next couple of days. In general, stock prices are volatile, and we also see similar-sized movements immediately before the announcement. Due to this volatility and the fact that we cannot rule out other shocks impacting these stock prices at the same time, it is difficult to attribute any movements in the stock prices to the firms’ decisions to leave Russia.

The academic evidence on investors’ reactions to firms divesting from Russia is mixed. Using a sample of less than 300 high-profile firms with operations in Russia compiled by researchers at the Yale Chief Executive Leadership Institute, Glambosky and Peterburgsky (2022) find that firms that divest within 10 days after the invasion experience negative returns, but then recover within a two-week period. Companies announcing divesting at a later stage do not experience initial stock price declines. In contrast, Kiesel and Kolaric (2023) use data from the LeaveRussia project to find positive stock price returns to firms’ announcements of leaving Russia, while there appears to be no significant investor reaction to firms’ decisions to stay in Russia.

When considering the effect from DN’s publications, the picture is almost mirrored, with the simple and trades-weighted average stock prices dipping in the days following the negative media exposure before not only recovering, but actually increasing. Similar caveats apply to the interpretation of this chart. In addition, the DN publication occurred shortly after the Hamas attacks on Israel on October 7 and Israel’s subsequent war on Gaza. While conflict and uncertainty typically dampen the stock market, the events in the Middle East initially caused little reaction on the stock market (Sharma, 2023).

Figure 6. Average stock price for companies listed in Table 1 around the time of DN exposure.

Source: Author’s compilation based on data from Nasdaq Nordic.

Discussion

As discussed in Becker et al. (2024), creating incentives and ensuring companies follow suit with the current sanctions’ regime should be a priority if we want to end Russia’s war on Ukraine and undermine its wider geopolitical ambitions. Nevertheless, Bilousova et al. (2024), and Olofsgård and Smitt Meyer (2023), highlight that there is ample evidence of sanctions evasions, including for products that are directly contributing to Russia’s military capacity. Even in countries that have a strong political commitment to the sanctions’ regime, enforcement is weak. For instance, in Sweden, it is not illegal to try and evade sanctions according to the Swedish Chamber of Commerce (2024). There is little coordination between the numerous law enforcement agencies that are responsible for sanction enforcement and there have been very few investigations into sanctions violations.

Absent effective sanctions enforcement and for the many industries not covered by sanctions, can we rely on businesses to put profits second and voluntarily withdraw from Russia? Immediately after the start of Russia’s invasion of Ukraine, as news stories about the brutality of the war proliferated, many international companies did announce that they will be leaving Russia. However, a more systematic look at data collected by the LeaveRussia project and KSE Institute reveals that more than two years into the war, less than half of companies based in Western democracies intend to distance themselves from the Russian market. A closer look at companies who are continuing operations in Russia reveals that they tend to be in sectors that are crucial for the Russian economy and war effort, such as energy, mining, electronics and industrial equipment. Many of these companies are probably seeing the war as a business opportunity and are reluctant to put human lives before their bottom line (Sonnenfeld and Tian, 2022).

Whether companies who announce that they are leaving Russia actually do leave is difficult to independently verify. A series of articles published in a prominent Swedish newspaper (Dagens Nyheter) last autumn revealed that goods from 14 major Swedish firms continue to be available in Russia, despite most of these firms publicly announcing their withdrawal from the country. The companies’ reactions to the exposé were mixed. A few companies, such as Scania and SSAB, have decided to cut all exports to the intermediaries exposed by the undercover journalists (for instance, in Kazakhstan, Uzbekistan and Kyrgyzstan). Other companies stated that they are currently investigating DN’s claims or that the exports exposed in the DN articles were final or delayed orders that were accepted before the company decided to withdraw from Russia. Another company, Trelleborg – a leading company within polymer solutions for a variety of industry purposes – reacted to the DN exposure by backtracking from its earlier commitment to exit the Russian market (Dagens Nyheter 2023b, 2023d). Wider reaction to these revelations was muted. Looking at changes in stock prices for the exposed companies, we find little evidence that investors are punishing companies for not honoring their public commitment to withdraw from Russia.

In an environment, where businesses themselves withdraw at low rates and investors do not shy away from companies contradicting their own claims, the need for stronger enforcement of sanctions seems more pressing than ever.

References

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

Jurisdictional Competition for FDI in Developing and Developed Countries

Posted on May 31, 2021 | Policy Brief

20210531 Jurisdictional Competition FREE Network Image 01

This brief is based on research studying jurisdictional competition between countries and its influence on the inflow of foreign direct investments (FDI). The study compares jurisdictional competition among the developing Central and Eastern European (CEE) countries with competition among developed EU countries. As instruments of jurisdictional competition for FDI, we consider governments’ efforts to improve the rule of law, corporate governance, and tax policies. The results suggest the presence of proactive jurisdictional competition via the quality of corporate governance regulation both in the CEE and the EU countries. The CEE states also attract FDI by competing in tax policies.

Introduction

The determinants of FDI inflows have been examined in numerous studies. A substantial number of them consider the influence of institutions, which are defined as particular organizational entities, procedural devices, and regulatory frameworks (IMF, 2003).

The quality of institutions is a particularly important FDI determinant for less-developed countries because the poor institutional quality and weak law enforcement increase the costs of running a business, create barriers for financial market efficiency, and increase the probability of foreign assets expropriation (Blonigen, 2005).

However, governments interested in attracting FDI to boost job creation, new technologies, and tax revenues to their countries are not only concerned about the internal institutional environment. They are also competing with other countries in attracting foreign investments, engaging in what is often referred to as “jurisdictional competition”. In a broad sense,  this can be thought of as governments’ efforts to outcompete one another in offering foreign companies more favorable institutional and fiscal conditions for capital placements.

This brief summarizes the results of a study on the jurisdictional competition for FDI among the developing CEE and among developed EU countries (Mazol and Mazol, 2021). The research explores the precondition for proactive jurisdictional competition between economies for FDI – namely, how the economic and institutional environment within a country impacts the inflow of FDI both domestically and to its neighboring states, – by using a spatial econometric approach. The brief emphasizes the difference in the FDI policy responses implemented by developing CEE and developed EU countries.

Data and Methodology

In our econometric analysis, we use the FDI inward stock (i.e., the value of capital and reserves in the economy attributable to a parent enterprise resident in a different economy) as the dependent variable. The explanatory variables indicating jurisdictional competition include quality of corporate governance, rule of law, political stability, and tax policy. We employ balanced panel datasets for 26 developing CEE countries and 15 developed EU countries for the period 2006-2018. The dataset is derived from the World Bank and UNCTAD databases.

The analysis is based on a panel spatial Durbin error model (SDEM) with fixed effects (LeSage, 2014). Parameter estimates in the SDEM contain a range of information on the relationships between spatial units (in our case, countries). A change in a single observation associated with any given explanatory variable will affect the spatial unit itself (a direct effect) and potentially affect all other spatial units indirectly (a spillover effect) (Elhorst, 2014). The spatial spillover effect is viewed here as the impact of the change in the institutional or economic factor in one country on the performance of other economies (LeSage & Pace, 2009).

In our case, the direct effect is the effect on the FDI in country i of the changes in the studied instrument of jurisdictional competition in country i. The spillover effect is the change in FDI in country j following a change in the studied instrument of jurisdictional competition in country i.

Results

The results of our estimation are suggestive of a proactive jurisdictional competition in taxes among the CEE countries and in corporate governance quality both among the CEE and EU countries. Analyses of other factors (i.e., political stability and rule of law) show no significant interrelation between policy measures implemented by neighboring countries in order to attract FDI.

The precondition for the presence of proactive jurisdictional competition in a particular factor is to have statistical significance in both its direct and spillover effects (Elhorst and Freret, 2009). Such findings may indicate that policy measures in one economy trigger a policy response in a neighboring economy, which, in turn, influences the level of FDI in both countries.

Table 1. Estimation results of SDEM models – direct effects

Notes: *** – significance at 1% level, **  – significance at 5% level, *  – significance at 10% level. ln – denotes the logarithm of the underlying variable. lagt – denotes lagged underlying variable by one period (year) in time. Values of t statistics in parenthesis. CEE countries: Albania, Armenia, Azerbaijan, Belarus, Estonia, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Georgia, Hungary, Kazakhstan, Kyrgyz Republic, Latvia, Lithuania, Macedonia, Moldova, Poland, Romania, Russia, Serbia, Slovakia, Slovenia, Tajikistan, Ukraine, Uzbekistan. EU countries: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Italy, Luxembourg, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland. Source: Author’s estimates based on World Bank and UNCTAD databases.

Our results for the direct and indirect response to a tax policy in CEE countries illustrate this logic. Decreasing tax_rateincreases FDI to the CEE economy enacting this change (see Table 1), as well as to its neighboring countries (see Table 2). This finding is consistent with jurisdictional competition in taxes. That is, a reduction in domestic tax_rate may entail a decrease in the tax rate of a neighboring economy, resulting in a subsequent increase in FDI. (To explicitly confirm the suggested channel, further tax policy analysis would be needed). Interestingly, our results suggest that jurisdictional competition in taxes is only present among CEE economies, but not among EU countries.

In turn, an increase in corp_governance, a measure of corporate governance quality, increases FDI in neighboring countries both in the EU and in the CEE region (see Table 2).  A possible interpretation is that an increase in corp_governance in one country may entail an increase in corp_governance in its neighboring economies, resulting in a subsequent increase in FDI.  This result suggests proactive competition via corporate governance policy both among the EU countries and the CEE countries.

However, the direct effect differs between the regions. In the EU, an increase in corp_governance increases FDI to the EU economy in question, in line with common wisdom (see Table 1). At the same time, in the CEE region, an increase in corp_governance is followed by a decrease in FDI to that country.

Table 2. Estimation results of SDEM models – spillover effects

Notes: ***  – significance at 1% level, **  – significance at 5% level, *  – significance at 10% level. ln – denotes the logarithm of the underlying variable. Values of t statistics in parenthesis. lagt_lags – denotes spatially lagged underlying variable (multiplied by spatial weight matrix) lagged by one period (year) in time. Source: Author’s estimates based on World Bank and UNCTAD databases.

One potential explanation for the negative direct effect of corporate governance quality on FDI in the CEE economies is that improved corporate governance practices can block certain types of FDI, leaving behind foreign investors with a lower “threshold for corruption”. This may decrease FDI to the CEE country in question. However, once the jurisdictional competition results in an improvement of corporate governance across the region, it ultimately has a positive spillover effect.

The above explanation is in line with the theory of regulatory capture (Stigler, 1971), which suggests that the decisions made by public officials might be shaped and sometimes distorted by the efforts of rent-seeking interest groups to increase their influence.

Finally, the estimates do not indicate that the other studied institutional factors, rule of law and political stability, are applied as instruments of jurisdictional competition as neither groups of countries show significant spillover effects. The results, however, show that these factors influence the FDI inflow via the direct effect. More specifically, an increase in political_stability positively influences the FDI inflow to the economies in question, both in CEE and the EU, while rule_of_law is positive and significant only for the CEE countries. If investors are not as responsive to changes in rule_of_law when the initial level is high, the fact that EU countries typically have a higher rule_of_law value compared to CEE countries might explain why this estimate is insignificant for the EU countries.

Conclusion

This brief, first, presents new evidence on the relationship between different economic and institutional factors and FDI using a spatial econometric approach; second, it analyzes the possible existence of jurisdictional competition among developing CEE countries and developed EU countries as well as its effect on FDI.

The results suggest proactive jurisdictional competition in FDI determinants such as corporate governance quality and tax rates. CEE countries competing with one another use both these instruments of jurisdictional competition, while EU countries compete only via corporate governance quality. Furthermore, foreign investors are not sensitive to the quality of rule of law in the EU countries, while this instrument is more important for the FDI inflow to CEE economies.

Our results stress that officials responsible for the FDI policy implementation should pay more attention to the policies undertaken by neighboring governments as such external policies can make their own strategies to attract FDI to their economy less effective.

References

  • Blanton, S., and R. Blanton. (2007). What Attracts Foreign Investors? An Examination of Human Rights and Foreign Direct Investment. The Journal of Politics, 69(1), 143-155.
  • Blonigen, B. (2005). A Review of the Empirical Literature on FDI Determinants. Atlantic Economic Journal, 33(4), 383-403.
  • Elhorst, J. (2014). Spatial Econometrics from Cross-Sectional Data to Spatial Panels. Berlin: Springer.
  • Elhorst, J., and S. Freret. (2009). Evidence of Political Yardstick Competition in France Using a Two-Regime Spatial Durbin Model with Fixed Effects December. Journal of Regional Science, 49(5), 931-951.
  • IMF (2003). World Economic Outlook 2003. International Monetary Fund: Washington DC.
  • LeSage, J. (2014). What Regional Scientists Need to Know About Spatial Econometrics? Working Paper, Texas State University-San Marcos, San Marcos.
  • LeSage, J., and R. Pace. (2009). Introduction to Spatial Econometrics. Boca Raton, FL: CRC Press, Taylor and Francis Group.
  • Mazol, A., and S. Mazol. (2021). Competition of Jurisdictions for FDI: Does Developing and Developed Countries Response Different to Economic Challenges? BEROC Working Paper Series, WP no. 73.
  • Stigler, G. (1971). The Theory of Economic Regulation. Bell Journal of Economic and Management Science, 2, 3-21.

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.

Foreign Investors on the Investment Climate in Latvia

Posted on March 23, 2020 | Policy Brief

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This brief summarizes the results of an annual study on the development of the investment climate in Latvia from the viewpoint of key foreign investors – companies that have made the decision to invest in the country and have been operating here for a considerable time period. The study was initiated in 2015 and aims to assess investors’ evaluation of the government policy initiatives to improve the investment climate in Latvia. It also aims to provide an in-depth exploration of the main challenges for and concerns of the foreign investors, both by identifying problems and offering solutions. The study draws on a survey/ mini case studies of the key foreign investors in Latvia. Our findings suggest that in recent years, some progress has been achieved on a number of dimensions that are crucial for the competitiveness of the investment climate in Latvia, such as the political efforts by the government of Latvia to improve the investment climate, the overall attitude to foreign investors, and labour efficiency. At the same time, foreign investors see little, if any, improvement with regards to other key areas, such as the availability of labour, the quality of education, the court system, corruption and the shadow economy.

Introduction

The study on the development of the investment climate in Latvia from the viewpoint of key foreign investors in Latvia was first launched in 2015 by the Foreign Investors’ Council in Latvia (FICIL) in cooperation with the Stockholm School of Economics in Riga (SSE Riga). This study aims to foster evidence-based policy decisions and promote a favourable investment climate in Latvia by:

  • (i) Assessing how foreign investors evaluate the government’s efforts and current policy initiatives aimed towards improving the investment climate in Latvia, and
  • (ii) Providing an in-depth exploration of the main challenges and concerns for the foreign investors, both by identifying problems and offering solutions.

The study draws on a survey/mini case studies of the key foreign investors in Latvia. The first 2015 wave of the survey covered 28 key foreign investors in Latvia. Our panel has gradually expanded over time, reaching 47 participating companies in 2019. From September to early November 2019, we interviewed 47 senior executives representing companies that are key investors in Latvia. Altogether, these companies (including their subsidiaries) contribute to 23% of Latvia’s total tax revenue from foreign investors, 9% of the total profit and employ 11% of the total workforce employed by foreign investors in Latvia, where by foreign investors we mean companies with above a 145 000 EUR turnover and 50% foreign capital (data form Lursoft, 2018).

All interviews were conducted by FICIL board members. The guidelines for the interviews consist of the following key parts:

  • (i) Assessment of whether, according to foreign investors, the investment attractiveness of Latvia has improved during the past 12 months;
  • (ii) Assessment of the work of Latvian policy-makers in improving the investment climate during 2019;
  • (iii) Evaluation of progress in the major areas of concern identified by foreign investors in Latvia in 2015, including demography, access to labour, level of education and science, quality of business legislation, quality of the tax system, support from the government and communication with policy-makers, unethical or illegal behaviour on the part of entrepreneurs, unfair competition, uncertainty, the court system and the healthcare system in Latvia.

Furthermore, in the 2019 study we included questions related to some of the key issues discussed between foreign investors and policymakers during 2019, including the tax system, the stability of the financial sector and the quality of higher education and science in Latvia.

Investment Attractiveness of Latvia: Key Concerns of Foreign Investors in Latvia

The results of the 2019 study suggest that, even though the assessment of foreign investors with regards to the investment attractiveness of Latvia and the work of policy-makers to improve the investment climate in Latvia is still at the average level, it shows some positive tendencies. Namely, on a scale from 1 to 5, where ‘1’ means that there are no improvements at all, ‘3’ some positive improvements and ‘5’ significant improvements, the development of the investment climate in 2019 was evaluated as ‘2.6’ (‘2.5’ in 2018 and 2017). Furthermore, when asked to score the policy-makers’ efforts to improve the investment climate in Latvia, using a scale of 1-5, where ‘1’ and ‘2’ were fail and ‘5’ was excellent, investors responded with an average of ‘2.9’ in both the 2017 and 2018 studies, whereas in 2019, the score improved to ‘3.1’.

Foreign investors were also asked to evaluate whether there has been any progress within the key areas of concern as identified in 2015. The results of the most recent study suggest that the demographic situation, which in the long term reflects both the availability of labour and market size, is still among the key challenges for the foreign investors. Namely, on the scale from 1-5 (where an indicator value of 1 means that Latvia is not competitive and 5 means that Latvia is very competitive in this dimension), investors assessed the demographic situation of Latvia with only ‘1.5’ in 2019. Furthermore, as many as 35 (out of 47) foreign investors stated that they had not seen any progress in this area over the past 12 months. This lack of progress is, perhaps, not very surprising as demographic changes may take substantial time.

Another two key areas where investors would like to see more progress are the quality of education and science and the availability of labour. On a 5-point scale, the quality of education and science was evaluated with ‘2.7’ in 2019 (‘3.0’ in 2018, ‘3.1’ in 2017) and 30 out of the 47 investors interviewed have seen no progress in the development of education and science in Latvia over the past 12 months. The availability of labour was evaluated with ‘2.8’ in 2019 (‘2.7’ in 2018 and 2017); investors scored the availability of blue-collar labour with ‘2.4’ in 2019 (‘2.3’ in 2018, ‘2.5’ in 2017) and the availability of labour at management level with ‘3.1’ (‘3.0’ in 2018, ‘2.9’ in 2017). The majority, i.e. 39 of 47 investors have also seen no progress with regards to the access to labour during the past 12 months. In this context, however, it should be emphasised that the efficiency of labour is increasing in Latvia, according to foreign investors: in 2018, it was assessed with ‘2.9’, yet, in 2019, investors evaluated the efficiency of labour in Latvia with ‘3.4’ out of ‘5’.

The quality of health and social security as well as the quality of business legislation are yet another two indicators of the competitiveness of the investment climate in Latvia that have been evaluated around the average level of ‘3’. Further, 33 of 47 investors have seen no progress with regards to improvement of the healthcare system in Latvia over the past 12 months.

While the overall standard of living is evaluated rather positively at ‘3.8’ in 2019, there is still not much improvement in this indicator as compared to the previous three years. One encouraging result of the 2019 study is that according to foreign investors, the attitude towards foreign investors is gradually improving in Latvia: from ‘3.2’ and ‘3.1’ in 2016 and 2017 to ‘3.6’ in 2018 and reaching ‘3.7’ in 2019.

The foreign investors in Latvia who took part in the 2019 study also expressed an expert opinion with regards to whether there has been any progress during the previous 12 months in the other areas of concern. In this light, the perception of uncertainty should be highlighted. As many as 25 (out of 47 investors) have seen no progress in this area, 16 have seen partial progress and 6 stated that there has been progress in reducing uncertainty. The court system of Latvia is another area where many foreign investors have seen no progress, i.e. 22 said ‘no progress’, 23: ‘partial progress’ and only 1 that there has been progress in the development of the court system in Latvia.

Specific Issues: Tax System, Stability of the Financial System and Quality of Higher Education and Science

In the 2019 study, we also initiated an in-depth exploration related to three key issues of concern extensively discussed between foreign investors and Latvia’s government during the FICIL High Council 2019 spring meeting, and throughout the year 2019 in general. These are: (i) the tax system, (ii) the stability of the financial system, and (iii) the quality of higher education and science. Foreign investors were asked to comment on the current situation and progress over the past years, as well as to provide suggestions to the policymakers in order to improve the situation in the particular area.

(i) Tax system:

The most recent tax reform was implemented in 2018, and the newly elected government has announced that the next reform will take place in 2021. Therefore, this year we asked investors to evaluate the results of the previous tax reform in Latvia. We also asked investors to comment on whether the recent tax reform has brought any benefits to their company and the overall economy of Latvia. On average, foreign investors scored the results of the previous tax reform in Latvia with ‘3.1’, i.e. slightly above the average.

Overall, at least one part of the foreign investors who took part in the 2019 studies highlighted that the previous tax reform was a step ‘in the right direction’. In particular, the zero-rate on reinvested profit was highlighted by a large number of investors as a very positive improvement. In some cases, investors also praised the progressivity of labour tax rates. However, a number of foreign investors highlighted that the tax system has actually become more complex after the reform. Investors also expressed suggestions for further steps to improve the tax system in Latvia, and these are as follows:

Avoid uncertainty. Stability and predictability of the tax system is what the majority of the foreign investors wish to see. In essence, this means fewer changes to the tax system.

Simplify and explain. Investors highlight that paying taxes should be a “simple task” and easy to understand. According to the viewpoints of foreign investors, there is also the potential for improvement with regards to how the responsible organisations, such as the State Revenue Service, communicate changes in the tax system to the private sector.

(Continue) the shift from taxing labour to consumption. Some of the investors that took part in the 2019 studies see that the process has been initiated by the previous tax reform and recommend continuing in this direction.

(ii) Stability of the financial sector in Latvia.

On average, foreign investors evaluated the progress with regards to the effectiveness of combating economic and financial crime with 3.2, i.e. above average. We then asked foreign investors whether they have felt any negative effects on their companies with regards to the situations in the financial sector over the past 2 years. We received some positive opinions, yet the negative ones prevailed. Namely, foreign investors highlighted the reputation risks of Latvia that often impact upon the operation of their companies and create challenges when working with foreign banks.

(iii) Quality of university education and science in Latvia.

Here, foreign investors were asked to reflect upon whether they were aware of any activities that policymakers carried out during the past year to improve the situation. On a positive note, a number of investors mentioned the recent development of the University of Latvia and Riga Technical University’s campuses. Some investors also highlighted that the reform to change the governance model of higher education institutions, initiated by the Ministry of Education and Science, was a good step towards improving the quality of higher education and science in Latvia. However, we also received a number of negative opinions, such as “Nothing has been accomplished, just talking”.

When asked “What changes would you suggest to improve the quality of education and science in Latvia and why? How would this help the business environment, e.g. companies such as yours?”, foreign investors emphasised the following:

Higher education (and science) is too local, fragmented and outdated. In essence, investors pointed out that there are simply too many higher education institutions in Latvia, that they work with outdated methods and are afraid (with no good reason) to open up internationally – also by attracting top quality foreign staff.

Change the governance of higher education institutions in Latvia is another strong request from foreign investors in Latvia. Many investors believe that changes in the financing model should also follow.

Improved connection between education and science and the world of business was yet another important aspect which was highlighted during the 2019 interviews, and also strongly emphasised in the previous studies.

Further Investment Plans and Message to the Prime Minister

When asked whether they plan to increase their investments in Latvia, as many as 64% of the investors interviewed answered with ‘yes’ (in the 2018 study, 55% interviewed answered with ‘yes’), 25% said ‘no’ (35% in the 2018 study) and 11% answered that ‘it depends on the circumstances’ (10% in the 2018 study) or that they have not yet decided.

Finally, we invited foreign investors to send a message to the Prime Minister of Latvia: one paragraph on what should be done to improve the business climate in Latvia, from the viewpoint of a foreign investor. These messages closely parallel the other findings of the 2019 study, stressing a number of key concerns that foreign investors are still facing in Latvia: the situation with regards to demography, quality of education and science, availability of labour, challenges with corruption and the shadow economy as well as needs for improvements in the health care sector amongst others.

Conclusions

The findings of the 2019 study on the view of the key foreign investors of the investment climate in Latvia suggest that in recent years, some progress has been achieved on a number of dimensions, such as political effort to improve the investment climate, attitude towards foreign investors, and labour efficiency. At the same time, foreign investors see little, if any, improvement with regards to other key areas, such as the availability of labour, the quality of education, the court system, corruption and the shadow economy.

Our findings highlight the need to continue policy-makers’ efforts to improve the investment climate in Latvia and provide policymakers with better grounds for making informed policy decisions with respect to the entrepreneurship climate in Latvia. We also hope that our study will further facilitate constructive communication between foreign investors and the government of Latvia.

References

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

The Determinants of Renewables Investment

Posted on November 13, 2017 | Policy Brief

20171112 Determinants of Renewables Investment 01

On the 24th of October, SITE held the first of its series of Energy Talks, replacing what for one decade had been known as SITE Energy Day. For this first edition, SITE invited Thomas Sterner, Professor of Environmental Economics at the University of Gothenburg to give a presentation under the headline of “Technological Development, Geopolitical and Environmental Issues in our Energy Future”. To comment on the presentation, Leonid Neganov, Minister of Energy of Moscow Region, and Karl Hallding, Senior Research Fellow at the Stockholm Environment Institute (SEI), had been invited. This policy brief reports on the important subjects presented by our guests as well as the discussion that took place during the event.

From climate change concerns to climate change targets

Thomas Sterner began his presentation by addressing the well-known issue of climate change, a constantly current topic.

Different versions of Figure 1 (below) have been used extensively by those discussing climate change over the last decades, most notably by the previous US President Al Gore in his 2006 documentary “An Inconvenient Truth”. It shows the concentration of CO2 (carbon-dioxide) in the atmosphere over the past 400,000 years. There is wide agreement within the scientific community that the emissions of greenhouse gases (GHG), such as CO2, methane and nitrous oxides, have led to the shifting weather patterns and increased temperature over the past century (NASA, 2017).

Figure 1. Level of CO2 in the Atmosphere

Notes: The vertical red line is the Keeling curve, showing how the concentration has changed since 1958. Source: Allmendinger, 2007.

Predicting the impact of these emissions is far from an exact science: the temperature increases are likely to be unevenly spread across the world as shown in Figure 2. Some areas are likely to be particularly afflicted, especially coastal lowlands susceptible to flooding and semi-arid areas where droughts can become more likely. Unless current emission levels start to decrease, we are likely to observe severe results of climate change within 20 years, such as displacement and increased migration in the wake of extreme weather (NIC, 2016). For instance, adverse health effects in China, or decreasing productivity in South-East Asia, have already become apparent due to current increased temperatures (Kan, 2011; Kjellstrom, 2016).

Figure 2. Predicted Temperature Increase

Source: IPCC, 2013.

To tackle this issue and its negative economic impacts, many policy makers have agreed to replace fossil fuels with renewables. Renewables is the collective term of energy sources that have a neutral or negative net-effect of GHG emissions and are extracted through resources that are continuously replenished, e.g. solar, wind and hydro power, and biomass energy.

As the issue of climate change is a global one, the transition to renewables needs to be global too. International climate agreements have hence long been the accepted norm to approach climate change issues. The Paris Agreement is currently the guiding principle, in spite of the announcement of the Trump administration to withdraw the United States. Though instrumental in creating a momentum in the transition to lower levels of GHG emissions, it comes with many flaws. Its goal of a maximum average temperature increase of 2°C might be considered radical given current levels. However, the policy instruments that the target depends on – the Intended Nationally Determined Commitments (INDCs) – shift the responsibility to individual nations and remove the global responsibility. As Thomas Sterner pointed out, the first three words of this acronym remove indeed any binding force, and elementary game theory tells us that it will be hard, not to say unlikely, for all signatories to remain cooperative in achieving the target of 2°C.

Investing in renewables: from political choice to competitive choice

As stated above, investing in renewables is a necessary condition to achieve climate change targets. Indeed, there are some countries that have pushed the development of renewables with the aim to reduce the fossil fuel dependency to a minimum level in a very near future (see Figure 3). However, most of these investments are currently driven by political will. A natural question is whether renewables technologies can be competitive.

It is a fact that costs of renewables have been severely decreased in the last decade (Timmons et al., 2014). However, as Thomas Sterner mentioned, the cost of renewables and of fossil fuels are still very place and time specific and depends on the scale. Investments in renewables are growing and solar and wind power have both seen production capacities increasing markedly yearly over the last years (GWEC, 2016; IEA, 2017a). However, coming from an initial low level, it will take some time before we will be able to rely on them.

Even with massive investments and decreasing generation costs, the intermittent nature of most renewable energies will still impede the competitiveness of renewables. Solar and wind power are the technologies where most of the development has been centred (Frankfurt School-UNEP Centre/BNEF, 2017). They are highly weather dependent and electricity production from these sources cannot be secured all of the time. This makes countries dependent on backup technologies. In some countries, the obvious answers to these challenges have been hydro and nuclear power. Both technologies have their respective drawbacks though.

Figure 3. World’s Top 10 Investors in Renewable Energy in 2016

Notes: New Investments $BN, Growth on 2015. Source: Frankfurt School-UNEP Centre/BNEF, 2017.

Hydro power requires a geography that allows for dams, which in turn change the nature markedly around them and may not be available during drought periods. Nuclear energy has surrounding safety aspects that most recently came to light with the 2011 Fukushima Daaiichi nuclear disaster, leading Germany to decide to shut down all of its 17 reactors by 2022 (25 % of the country’s electricity production). Moreover, it may also be technically difficult to have nuclear as a backup technology given the associated ramping and start-up constraints.

Two further remarks on the intermittency problem can be made. First, this problem is likely to become more severe when policymakers push for large-scale electrification (c.f. EU Energy Roadmap established in 2011). For example, the full electrification of transport or heating sector will drive up the demand for and consumption of electricity. As this happens, the need for something to secure constant energy access will increase.

Second, only the development of technologies that allow electricity storage could solve this issue permanently. However, the current technological progress regarding batteries’ capacity cannot yet offer the solution (J. Dizard, 2017).

Oil price, a reference price

Another important aspect stressed by Thomas Sterner was to take into account the significant role of fossil fuel prices. Although identifying an optimal oil price for a fossil-free future is not a straightforward procedure, as discussed during the event.

The high price of oil during the late 00s and early 10s stimulated the development of alternative technologies. As awareness of climate change and its effects increased among policy makers and the general public, there was a momentum to push for the development of renewables.

As investments in renewables went up, so did investments in another less green technology: hydraulic fracturing, or fracking. In the 10 years between 2005 and 2015, the United States alone saw the extraction of shale gas and oil to increase six-fold. (EIA, 2016) In part to maintain a market share, OPEC countries exceeded their own set production limits and oil prices tumbled from around $100 per barrel to around $50 (Economist, 2014).

With roughly three years behind us of somewhat stable and low oil prices, the question is what the implications of this are. It makes it more difficult to phase out fossil fuels as demand for them goes up, depressing efforts put into the research and deployment of renewables. Energy efficiency also becomes less important, driving up waste and stopping investments in energy conservation.

On the other hand, with low oil prices, investments in the fossil-fuels industry are also less likely to take place. Keeping resources in the ground becomes more palatable as profit margins are pushed down. This, in turn, is likely to have a positive effect on environment by decreasing the level of GHG emissions.

The invited guests, Leonid Neganov and Karl Hallding spoke more in depth about two central countries that contribute in shaping global environmental policy.

The local conditions, Russia and China examples

As the world’s fourth largest supplier of primary energy and the largest supplier of natural gas to the EU (IEA, 2017b), Russia presents an interesting case to observe as a country supplying fossil fuels. Leonid Neganov, Minister of Energy of Moscow Region, commented on the current policy direction of the country. He explained that non-renewable, GHG emitting energy sources make up a majority, roughly 60% of the Russian energy balance. The rest is provided by more or less equal shares of nuclear and hydro power. New renewable technologies make up a miniscule share of an estimate 0.2% of the current total.

According to Neganov, in the coming 20 years, we should not expect to see too much of a change. Though total output is expected to increase, the share of GHG-neutral energy will remain more or less constant, though the share of renewables are set to increase to 3% according to the current drafts of Russian energy policy. A more pronounced transition to other energy sources are more likely in a longer perspective towards 2050, even though circumstances may naturally change over the coming decades.

Other available information also points to that Russia has decided to tackle the shift in consumption of its major market in Europe by widening its geographic reach. Massive infrastructure investments, such as the Altai and TurkStream gas pipelines, will enable Russia to more easily reach markets that are currently beyond any practical reach.

With the Altai pipeline, Russia will be able to provide China with natural gas at a much greater level than before. China being by far the largest producer of coal sees an opportunity to shift away from the consumption of a resource that during winters causes its major cities to periodically become enveloped in clouds of smog and at the same time also decrease its GHG emissions. The environmental benefits of natural gas as opposed to coal should not be exaggerated though. Thomas Sterner pointed out that methane, the main compound of natural gas, is a considerably more potent GHG than CO2. A total leakage of an estimated 1% negates the environmental benefits, he said.

Karl Hallding, Senior Research Fellow at SEI, particularly stressed the need to look at China. It is the supplier of half of the world’s coal, extraction levels remain high. (BP, 2017) Domestic consumption is decreasing but consumption of Chinese coal is, however, more likely to shift geographic location rather than to be left in the ground, said Hallding. Through massive infrastructure investments, such as the New Silk Road, and in energy production in Sub-Saharan Africa, China spreads its influence (IEA, 2016). By exporting emissions, the impact at the global level will not change.

References

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Directed Lending: Is It An Efficient Tool to Modernize the Economy?

Posted on March 11, 2013 | Policy Brief

Directed Lending Policy Brief Image

Over the last couple of years, the growth rate of potential Belarus’ GDP declined. The government intends to revive economic growth by the policy of ‘modernization’, in practice pinned down to a drastic increase in the volume of capital investment, including by the means of directed lending. As the pre-crisis macroeconomic imbalances are at least partially cured, the government seems to be eager to apply a familiar policy tool. However, the empirical analysis of the effects of directed lending on total factor productivity and economic growth casts serious doubts on the efficiency of this policy tool.

Over the last couple of years, the growth rate of potential Belarus’ GDP declined. This conclusion is robust as suggested by the application of competing methodologies to assess potential GDP. For instance, the statistical filters, including the HP-filter, the Kalman filter, and the production function approach, produce different levels of potential growth, but generate similar growth rate dynamics, particularly the downward trend. From this perspective, the tendency for high and sustainable GDP growth in Belarus is increasingly compromised.

Economic authorities seem to be aware of that fact. For instance, the Ministry of Economy stresses the need to create a new, ‘highly productive’ sector in the national economy as the new engine of growth. An ambitious plan involves expanding the size of this sector to contribute to about half of the GDP growth rate, aimed at 12 per cent per annum by 2015. The creation of this ‘highly productive sector’ falls into recent policy initiative, called ‘modernization’. Under this banner, the government plans to renovate the capital stocks (primarily machinery, equipment, and transport vehicles) of a large number of state-owned enterprises. In a nutshell, this strategy may be seen as a way to facilitate technical progress embodied in capital.

What is necessary, according to the government, is to make a spurt in capital investments, often on a case-by-case basis. The government has a pool of enterprises to be modernized. The majority of them are unable to modernize themselves – i.e. radically increase capital investments – due to the lack of internal funds and poor access to external finance. Accordingly, directed lending is considered to be a useful policy instrument of modernization. In 2013, the Development Bank plans to considerably increase its credit portfolio (by about USD 0.5 billion) by financing projects at subsidized interest rates under the ‘modernization’ program. Recently, the government compiled a list of 67 agricultural enterprises liable to have an access to cheap loans for modernization purposes from the Development Bank. In addition, state-owned banks will continue the provision of policy loans that can be considered as directed ones.

With directed loans, we mean those loans that are typically granted to selected borrowers at interest rates lower than the market interest rates. In Belarus, directed lending has been an important policy tool over the last decade. Selective credit programs have been applied to prevent underinvestment and to stimulate output growth.

According to the estimations of Fitch Ratings (2010), almost a half of the outstanding loans in the Belarusian economy by the end of 2009, were directed ones. The IMF provided a slightly smaller, but still substantial figure of 46.2 percent (IMF, 2010). According to our own calculations, by 2011, the volume of directed loans amounted to about 40 percent of the total volume of outstanding loans. These loans have been made abundant in agriculture and housing construction sectors and, to a lesser extent, in manufacturing. This massive presence of selective credit in the national economy can be seen as a large factor contributing to the currency crisis of March 2011.

Accordingly, after the crisis, and following the necessity to ‘clear up’ the assets of the national banking system, the share of directed lending was reduced. We estimate that in 2012, the ratio of directed loans in total loans dropped to roughly 30 percent. However, the recent rhetoric of the development of ‘highly productive’ sectors and modernization is indicative of the intention to find new life for this old cloth. Directed lending is expected to revitalize enfeebling growth. In 2012, real GDP growth amounted to 1.5 percent against the background of the initial government plan of 8.5 percent.

Under selective credit programs, banks have been partially deprived of their autonomy to make decisions over the provision of credit. Thus, banks’ intermediation role has been circumscribed by the authorities. In theory, directed loans may spur capital accumulation as beneficiaries of these loans have access to cheap loans and thus invest and – arguably – produce more. In Belarus, there has also been an additional incentive, i.e. the necessity to substitute depreciating and outdated capital stock, inherited from the Soviet past. At the same time, political interference into the process of credit provision suggests that loans may be allocated to lower-yielding projects, and thus dampen growth rates of factor productivity and GDP (Fry, 1995). In addition, non-favored companies – typically from the private sector – face higher interest rates as their state-owned counterparts receive substantial discounts for their use of capital.

So far, these soft budget constraints in the financial system have allowed favored companies to receive loans up to three times cheaper, if judged by the level of real effective interest rates. Although private companies tend to be more efficient than state-owned enterprises in terms of factor returns and profitability, higher interest rates may reduce the volume of outstanding market loans. Furthermore, increases in the volume of cheap residential loans, which do not contribute directly to enhancement of productive capacity of the economy, may dampen the returns on investment further.

Governments have traditionally relied on selective credit programs by stressing positive externalities and spillovers for the economy as a whole (DeLong and Summers, 1991). Commercial banks care about private returns, while governments seek to maximize social returns by financing firms, which are capable of generating positive externalities. Unfettered operations of credit allocation mechanisms minimize allocation inefficiency and induce banks to minimize the costs of financial intermediation, thereby making credit more accessible.

How do these competing forces meet in Belarus and what are the effects of their joint working? In answering those questions, we have conducted an empirical analysis of the effects of directed lending on total factor productivity dynamics. The latter is considered to be a good proxy to observe the impact of selective credit programs on the efficiency of actor use.

The results of our econometric analysis show that over the period concerned, 2000–2012, the expansion of directed lending in Belarus has negatively affected total factor productivity dynamics and, subsequently, negatively contributed to the rates of GDP growth. A positive impact on growth, stemming from additional capital accumulation might nevertheless occur, but with a substantial lag. This likely positive impact is associated with the ability of banks to increase the volume of market loans alongside with the rising volume of directed loans. The option has been made possible only due to massive liquidity injections by the government and mainly the National Bank of Belarus. However, such injections are problematic to maintain over the medium to the long run as they have severe inflationary repercussions for the economy.

The effects of individual components of directed lending are mainly the same. In particular, loans for residential construction, provided to households in need, negatively affect total factor productivity. Moreover, it is through housing loans the adverse effects of directed lending upon factor productivity are mainly realized. The interest rate spread – between preferential interest rate and market interest rate – amplifies these negative relationships. Lower preferential rates result in larger losses in total factor productivity. Loans to agricultural firms have similar impact, although it has to be emphasized that the overall impact on total factor productivity approaches zero (not negative, as in the case of housing loans).

We also find that for Belarus, an increase in the total volume of directed loans leads to an increase in the volume of market loans. Both the National Bank and, to a lesser extent, the government, strive to minimize risks in the national banking system, which provide loans with smaller returns and/or non-performing policy loans. Similar challenges have been observed in China, where the Central Bank has been forced to recapitalize domestic banks to support economic growth after the global financial crisis of 2008. In 2007–2008, Chinese growth of 8–10 percent was driven by new lending averaging 30–40 percent of GDP, of which up to a quarter of the loans might have been non-performing, amounting to losses of 6–10 percent of GDP (Das, 2012).

In Belarus, the recapitalization policy, apart from its inflationary consequences, has other important effects. In particular, it prevents a dangerous trade-off between directed loans and market loans to resurface, whereby the former crowds out the latter as banks are unable to expand their portfolios due to the liquidity constraints.

Therefore, unless the expansion of directed loans would be checked, adverse effects of selective credit programs on productivity and growth would not evaporate, with negative consequences for the whole economy. Regarding policy recommendations, we claim that there is a need to fundamentally revise directed lending policies or to even minimize it to the extremes by allowing standard market mechanism for credit allocation to prevail in the national economy. Furthermore, we argue that directed lending, even after some cosmetic changes in the system design made in 2012, is not an efficient tool for economic growth promotion.

Tentative results of growth accounting made at the level of selected important industries suggest that the downward growth dynamics is associated with weak total factor productivity growth, i.e. disembodied technical progress. Improvement of total factor productivity seems to have the biggest potential for revival of economic growth. Therefore, the use of directed lending, as a policy instrument that hampers total factor productivity dynamics, may undermine prospects for long-term economic growth in Belarus.

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References

  • Das, S. (2012). “All Feasts Must Come to an End– China’s Economic Outlook”, Euro Intelligence, 11 March, viewed 12 April 2012.
  • DeLong, J.B. and L.H. Summers, (1991). “Equipment Investment and Economic Growth”, Quarterly Journal of Economics 106, 2, pp. 445–502.
  • Fitch Ratings, (2010). “Directed Lending: On the Up or on the Way Out?”, Belarusian Banking Sector, May.
  • Fry, M.J. (1995). Money, Interest, and Banking in Economic Development (John Hopkins University Press, Baltimore and London).
  • IMF (2010), “Republic of Belarus: Fourth Review under the Stand-By Arrangement”, IMF Country Report 10/89, viewed 15 July 2012.