Tag: Agricultural policy

EU Accession and Sustainability Challenges for Ukraine’s Agricultural Sector

Combine harvester in a Ukrainian wheat field symbolizing EU accession impacts on agriculture.

Recently the EU opened accession negotiations for Ukraine. Apart from the trade benefits of having access to a large and wealthy EU market, Ukraine’s agricultural producers in particular, will have to comply with and implement a complex and demanding EU acquis in agriculture. Together with the Common Agricultural Policy, this includes regulation of markets and standards in farming practices, animal and plant health, food safety, and environmental and animal welfare. The potential additional compliance costs from EU accession may undercut Ukraine’s agricultural competitiveness and supply growth, crucial for feeding a growing population. However, in this policy brief, we show that these costs are not critical and that there is a potential for agricultural producers to simultaneously increase their output and contract harmful environmental impacts, which in turn can compensate for the additional compliance costs.

Introduction

The European Council granted Ukraine candidate status in June 2022 and eventually opened accession negotiations in December 2023. For the Ukrainian agricultural sector, an EU membership would bring trade benefits from having access to a large and wealthy EU market. At the same time, Ukraine would have to comply with a complex and demanding EU Acquis in agriculture (hereafter called EU agricultural acquis). This, together with the EU Common Agricultural Policy (CAP), includes regulation of markets and standards in the areas of farming practices, animal and plant health, food safety, and environmental and animal welfare (Nivievskyi, 2024).

Complying with these regulations would entail additional costs for agricultural producers, raising concerns about the comparative advantage of Ukrainian agriculture. If these effects are strong enough, it could, in turn, hamper Ukraine’s agricultural supplies growth, crucial for feeding a growing global population.

While the evidence on the expected compliance costs is very scarce (see e.g. EU Commission, 2014), it shows they would be in the range of up to an additional 10 percent of the total costs. This cost increase, however, does not seem to ruin Ukraine’s comparative advantage in agriculture. Moreover, in this policy brief, we demonstrate that producers of grains and oilseeds in Ukraine have the potential to improve their efficiency by increasing their output by almost 20 percent and simultaneously contracting harmful environmental impacts by 16 percent. Such improvements can compensate for additional EU agricultural acquis compliance costs for Ukraine’s agricultural producers.

Relevance

Ukraine’s agricultural sector plays a key role domestically and internationally. It is noticeably dominated by crops, mainly by highly competitive grains and oilseeds. Agriculture alone accounts for about 10 percent of Ukraine’s GDP, but together with upstream (e.g. agricultural machinery) and downstream (e.g. food processing) industries, the entire agri-food sector’s share amounts to roughly 20 percent of GDP. The agri-food sector accounted for 60 percent of Ukraine’s total exports in 2023 with Ukraine’s shares in global corn and wheat trade reaching almost 20 and 10 percent, respectively.

At the same time, agriculture is among the top five sectors of the Ukrainian economy contributing to Nitruos Oxide (N2O) emissions in the country (SSSU, 2018). Since it generates not only desirable outputs but also environmentally undesirable ones (such as GHG emissions, pollution from applied chemical fertilizers and pesticides etc.), the negative outputs should be both considered in the assessment of the sector’s performance.

The existing empirical literature places the main focus on the economic aspects of the agricultural sector’s performance in Ukraine, more specifically on technical efficiency and total factor productivity. A recently published study (Halytsia, Vrachioli, Nivievskyi, Sauer, 2024) we undertake the first attempt to incorporate undesirable outputs of agricultural production in the analysis of Ukrainian agricultural producers’ efficiency and provide empirical evidence on how they perform from a combined economic and environmental perspective. This policy brief summarizes the study’s results.

Data and Methodology

To estimate the environmentally adjusted efficiency of crop producers, we use farm-level accounting data from 2017-2019, collected by the State Statistics Service of Ukraine. The analysis is conducted for cereals (including wheat, barley, maize and others) and sunflower production since they are the major crops in terms of sowing land and output shares and given their importance for Ukrainian agricultural export.

To account for both desirable and undesirable outputs of crop production (environmental bads in our study are N2O emissions originating from the usage of mineral fertilizers and CO2 emissions from fuels’ consumption), the production technology is formalized in the form of a hyperbolic distance function. This gives the maximum linear expansion of a desirable output vector and contraction of an undesirable output vector for a given input vector. Parametric estimation (deploying a so-called stochastic frontier model) of the distance function yielded hyperbolic efficiency estimates that reflect the producers’ ability to expand good outputs and simultaneously contract environmentally undesirable ones to achieve maximum environmentally adjusted economic efficiency.

Empirical Results

The results from the econometric analysis reveal that the average environmentally adjusted economic efficiency estimate for crop producers in Ukraine is 0.84 (efficiency estimates are bounded between 0 and 1). This suggests that, on average, producers of cereals and sunflowers in Ukraine can improve their production results by increasing crop output by 19 percent (1/0.84 = 1.19) while simultaneously contracting undesirable output by 16 percent (1–0.84 = 0.16) in order to be fully efficient, i.e. have their output level on the frontier of the production technology (Figure 1).

The obtained environmentally adjusted economic efficiency level is fairly comparable to the efficiency values estimated in empirical studies for crop producers in other Eastern European countries, more specifically Poland (Gołaś et al, 2020; Stępień et al., 2021).

Figure 1. Graphic synthesis of the study’s findings

Source: Authors’ presentation.

Policy Implications and Recommendations

Performance Improvement

The results from the empirical analysis show that there is room for Ukrainian crop farmers to improve their environmental and economic performance. The following policy interventions can be helpful in facilitating this improvement:

  • establishing clear standards for the quality of chemical fertilizers, promoting organic ones and robust agrochemicals management and monitoring systems
  • promoting the adoption of climate-smart agricultural technologies, such as, for instance, fertigation (which can be especially effective in the steppe agro-climatic zone where most Ukrainian crop production is concentrated and which is noticeably affected by changing climatic conditions)
  • governmental programs for energy saving in agriculture to help reduce the amount of farm CO2 emissions.

Implementation of these measures can contribute to closing the efficiency gap, bring more sustainable agricultural production growth and help farmers compensate for the anticipated costs of EU legislation compliance regarding environment, animal welfare, and food safety.  The latter, in turn, entails not only costs but also a number of benefits. Potential benefits from implementing environmental regulations are, for instance, input savings ( e.g. in fertilizer or pesticide costs), additional revenues (higher prices and increased consumer demand for agricultural products produced sustainably) and extension programs financed through public funds (Mettepenningen et al., 2009).

Data Collection Improvement

Key limitations of this study stem largely from issues related to data availability. More specifically, there is no data available on organic fertilizer application, specification of the types of used pesticides, or details on farm characteristics (such as farm economic size, land type, environmental subsidies, etc.). These data would enable a robust and comprehensive estimation of the environmentally adjusted economic efficiency of agricultural producers, accounting for a broader range of undesirable outputs and incorporating determinants of inefficiency into the analysis.

Currently, the State Statistics Service of Ukraine’s annual statistical survey forms do not contain questions which enable the collection of the above mentioned data. Enhancing farm-level data collection will be necessary to align Ukrainian statistical databases with Eurostat, given Ukraine’s candidate status for EU membership.

The importance of collecting data on farms’ environmental performance is supported by the ongoing transition in the EU from a farm accountancy data network to a farm sustainability data network, which aims to collect rich microeconomic data not only on farms’ income and business activities but also information on their environmental and social sustainability performance.

Conclusion

Over the two decades prior to Russia’s unprovoked full-scale invasion, Ukraine developed into an increasingly important global supplier of staple food.

In this policy brief, we quantify the improvement potential for the performance of crop producers in Ukraine from both economic and environmental perspectives and highlight that potential efficiency improvement could compensate for the additional EU agricultural acquis compliance costs that Ukraine’s agricultural producers are expected to face upon Ukraine becoming a full EU member.

Acknowledgment

This policy brief is based on the academic article Assessing the Environmental Performance of Agricultural Production Using a Parametric Approach: An Application for Crop Producers in Ukraine by Olha Halytsia, Maria Vrachioli, Oleg Nivievskyi and Johannes Sauer, published in Eastern European Economics.

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.

Can Farmland Market Liberalization Help Ukraine in its Reconstruction and Recovery?

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The Russian full-scale invasion of Ukraine has inflicted massive damages and losses on Ukraine, already amounting to more than 2.5 times Ukraine’s 2023 GDP. Despite substantial and continuing international political and financial support to help Ukraine in its recovery and reconstruction, it is becoming increasingly clear that it will need to mobilize its own resources and private financing as well – not just for the country’s reconstruction but also for its long-term development. From a government perspective, it is important for Ukraine to leverage scarce public and donor resources and to undertake necessary reforms to facilitate and crowd in private financing. Farmland market liberalization is one of the key reforms in this respect. Its scale, with farmland accounting for more than 70 percent of Ukraine’s territory, and capacity for private financing generation for agriculture and rural areas is, however, often underestimated.  

An Unbearable War Toll and the Need for Private Financing

The raging Russian war on Ukraine enters its third year, imposing an immense toll in terms of human life, economic stability, and regional security. About 20 percent of Ukraine’s territory has been occupied. More than 10 million Ukrainians have left their homes, including 6.45 million refugees that have resettled across Europe (UNHCR, 2024). Ukraine’s military casualties are reported to be approaching 200,000 (The New York Times, 2023) and at least 10,000 civilians have been killed (United Nations, 2023). Ukraine’s GDP plunged by 30 percent in 2022, and the documented total damages to Ukraine’s economy have reached US$ 155 billion, as of January 2024 (KSE, 2024). Similarly, economic losses amount to around US$ 500 billion (as of December 2023). At the same time Ukraine’s reconstruction and recovery needs are estimated at about US$ 486 billion (World Bank, 2024). This immense number make up more than 2.5 times Ukraine’s 2023 GDP.

While there is a substantial and continuing international political and financial support for Ukraine’s defense, recovery, and reconstruction, this will not be enough (World Bank, 2023). Ukraine needs to mobilize its own resources and private financing, not just for its reconstruction but also for its long-term development. The Ukrainian government must leverage scarce public and donor resources and undertake necessary reforms to facilitate and crowd in private investments. One of the crucial reforms in this regard is the ongoing liberalization of the farmland market. The scale of its impact and capacity to generate private financing for agriculture and rural areas is frequently undervalued.

Ukraine’s Farmland Market and Reform

Almost 71 percent of Ukraine’s territory (or 42.7 million ha, including occupied territories) is farmland and 33 million ha is arable. This is far more than in the largest countries in the EU. Ukraine also has one-third of the world’s most fertile black soils. This resource has however been heavily underutilized for agricultural and overall economic development (KSE, 2021). Over the last two decades, Ukraine has turned into an increasingly important global supplier of staple foods (von Cramon-Taubadel and Nivievskyi, 2023), but this has largely happened without a full-fledged farmland market in Ukraine capable of facilitating even further agricultural productivity growth.

The farmland sales market was virtually non-existent for over three decades, instead rental transactions dominated. The farmland sales market began operating only in July 2021, and in a very limited format. Only individuals could purchase farmland plots and with a 100-ha cap per person. The minimum price was set at the normative monetary land value, and tenants had pre-emptive purchase rights while foreigners and legal entities were excluded; state and communal farmland remained under the 2001 sales ban. The farmland sales market opening was part of a large-scale land reform to support an efficient and transparent farmland market. This included a legislation package aimed at preventing land raiding, decentralizing land management, introducing electronic land auctions, establishing tools for land planning and use, creating a national infrastructure for geospatial data, establishing institutions for supporting small scale farmers, and empowering small scale farmers capacity to compete for land (KSE, 2021).

In general, there are two broad benefits of sales and lease transactions. First, the farmland market, via transactions, sorts out more efficient farms from less efficient ones, thus increasing the overall sector value added. Another important benefit, specifically linked to the farmland sales market, is that a functioning farmland sales market makes farmland a collateral which can generate productive investments in increased agricultural and non-agricultural productivity growth (Deininger and Nivievskyi, 2019).

Early Reform Outcomes

Almost two out of the first two and a half years of the reform phase unfolded amidst the profound shock from Russia’s full-scale invasion of Ukraine. Following this, nearly 20 percent of Ukraine’s farmland has been occupied (Mkrtchian and Mueller, 2024), almost a third of the agricultural sector has been ruined – the total damages and losses to the agricultural sector amount to US$ 80 billion (Neyter at al., 2024). As a result, a very restrictive first-phase format of the market, on top of the war challenges, effectively limited the expected benefits of the market liberalization.

The war has put a sizable drag on the farm-land sales market development, effectively slashing the transacted volume almost by half (see Figure 1).

Figure 1. Cumulative market transactions and the effect of the war.

Source: Nivievskyi and Neyter, 2024.

Overall, about 1.1 percent of total farmland area, or about 1.3 percent of Ukraine’s total controlled farmland (equivalent of 200,000 sales transactions or 444,300 ha) has been traded since the opening of the market. Regionally, the outcome is quite diverse (see Figure 2).

This is nonetheless an encouraging outcome as it is quite comparable to developed countries benchmarks where, on average, roughly 1 percent (and up to 5 percent) of the total agricultural land area is transacted annually (Nivievskyi et al., 2016). Another important outcome is that the transacted farmland has remained in agricultural production.

Farmland price development is also positive, especially for commercial farmland (see Figure 3). Since the commencement of the farmland sales market in Ukraine, the capitalization has increased by US$ 5.5 billion (KSE Agrocenter, 2024).

In fact, farmland market capitalization might be even greater. There are indications that the actual market price should be much higher, on average, than the officially registered one, as transacting parties may try and evade fees and taxes (Nivievskyi and Neyter, 2024).

Figure 2. Transacted area as share of total oblast (administrative region) area.

Source: The Center for Food and Land Use Research at Kyiv School of Economics (KSE Agrocenter), 2024.

Continued Farmland Market Liberalization and Associated Expectations

As of January 1, 2024, legal entities gained the right to acquire farmland that had, from 2001, been under sales ban. Also, in this second stage, the farmland accumulation cap per beneficiary increased to 10,000 hectares. Other restrictions remain, including that legal entities with a foreign beneficiary still cannot purchase farmland.

The first results of the second stage are premature, and firm conclusions cannot be drawn, yet the preliminary results are quite encouraging. The new market participants have already increased the volume of transactions and corresponding price by 13 percent, on average (see Figure 3).

Figure 3. Average farmland prices, in thousands UAH.

Source: KSE Agrocenter (2024). Note: Demonstration and estimations are based on the State GeoCadaster Data.

Another encouraging result highlights that legal entities bring further transparency into the market. For half of the transactions involving individuals, the sales price did not exceed the minimum price by more than 1.5 percent, while in half of the farmland transactions with legal entities, the price exceeded the minimum one by more than 44 percent.

These early results provide insight into the market’s direction and the associated benefits. The expected economic benefits from liberalizing the farmland market for legal entities could amount to an annual increase of 1-2.7 percent of GDP over the next three years.  The scale depends on many factors, including the availability of financing and financial support for small farmers (KSE Agrocenter, 2023).

Rural and agricultural financing is of particular interest as land is generally considered a high-quality collateral which could be utilized to attract loans and investments. This is particularly important during the current wartime period, as agricultural producers are facing significant collateral damage and severe financial difficulties for the third consecutive year. Currently, despite its potential, only a meager share of all farming loans is secured by farmland – far below global benchmarks.

Under current registered farmland prices, the total farmland market capitalization is equivalent to roughly US$ 35.5 billion. This could potentially generate an additional US$ 12.4 billion of loans (under the current low liquidity risk ratio of 0.35), already much greater than the current agricultural debt of about US$ 3.5 billion. Adding legal entities to the pool of farmland buyers (as of January 2024), is expected to increase farmland prices by an additional 40 percent. Thus, the farmland market will grow to almost US$ 50 billion, and the volume of land-secured financing could amount to US$ 17.5 billion. Further liberalization of the farmland market, such as a strengthening of its transparency, boosting the market liquidity, and accumulating necessary market statistics, may allow the National Bank of Ukraine to reconsider the liquidity risk ratio for farmland – potentially considering it as collateral similar to other types of real-estate (see the National Bank of Ukraine Resolution #351, June 30, 2016). A liquidity risk ratio at the level of developed countries (0.6-0.8) could further increase the volume of potential land-secured financing available to agriculture and rural areas/landowners to at least US$ 35 billion. This would, in turn, close the more than US$ 20 billion current financing gap for agricultural reconstruction, recovery and development. It would also contribute to Ukraine’s nearly US$ 500 billion reconstruction and recovery needs.

Further significant strides toward liberalizing Ukraine’s farmland sales market are anticipated as part of the country’s journey towards EU membership (European Commission, 2024), aligning with Chapter 4 ‘Free Movement of Capital’. Specifically, this pertains to allowing foreigners (EU citizens and legal entities) the right to purchase Ukrainian farmland (Nivievskyi and Neyter, 2024).

Conclusion

Russia’s full-scale invasion of Ukraine have inflicted massive damages and losses to Ukraine, already amounting to more than 2.5 times Ukraine’s 2023 GDP. The recently estimated reconstruction and recovery needs measure at nearly US$ 500 billion. This is an unbearable burden for Ukraine alone. Despite substantial and continuing support from international partners and donors, Ukraine will need to heavily draw on its own resources and capacity to generate private financing, not just for the country’s reconstruction, but also for its long-term development. It is therefore essential, from the Ukrainians government’s perspective, to focus on necessary reforms and optimize policy decisions to leverage the scarce public and donor resources and facilitate and crowd in private investments. Continued farmland market liberalization is one such critical reform, providing hope to generate substantial private investment in the agricultural sector and rural areas.

The size of the farmland market is immense (with farmland accounting for more than 70 percent of Ukraine’s territory). The first two years following the opening of the farmland sales market demonstrate a substantial potential for private financing generation for agriculture and rural areas. The results from regular market monitoring and the early findings, as discussed above, suggest that further farmland market liberalization and increased transparency could generate about US$ 35 billion of financing for agricultural producers and rural areas/landowners. That could, in turn, close the current agricultural financing gap of more than US$ 20 billion for rebuilding and recovery, as well as partially close the nearly US$ 500 billion financing gap for Ukraine’s overall reconstruction and recovery. The expected economic benefits from liberalizing the farmland market for legal entities are estimated at 1-2.7 percent of GDP annually, over the next three years. A further liberalization of the farmland market, and a step towards EU membership, would include granting foreigners (EU citizens and legal entities) the right to buy Ukrainian farmland – expected to bring even further benefits.

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.

Russian Wheat Policies and Georgia’s Strategic Trade Policies

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Russia is known for periodically halting its grain exports to impact global wheat prices. This has become a significant policy concern in recent years, most notably during the Covid-19 pandemic and in the wake of Russia’s war in Ukraine. Georgia heavily depends on wheat imports, and over 95 percent of its wheat has historically been sourced from Russia. Despite Russia’s periodic bans and restrictions on wheat exports occurring every 2-3 years, Georgia is yet to effectively diversify its sources of wheat imports. This policy brief analyses the impact of Russia’s most recent wheat policies on Georgia’s wheat market, examines Georgia’s response, and provides policy recommendations in this regard.

In June 2023, the Georgian government introduced a temporary import duty on wheat flour imported from Russia in response to requests from the Georgian Flour Producers Association. The association began advocating for an import duty after Russia, in 2021, imposed a so-called “floating tariff” on wheat which made it relatively more expensive to import wheat in comparison to wheat flour. As a result of the “floating tariff” on wheat, wheat flour imports skyrocketed and almost fully substituted wheat imports. Eventually, many Georgian mills shut down and local wheat producers struggled to sell domestically produced wheat. Such an increase in flour imports raises the risk of completely replacing domestically produced flour with flour imported from Russia.

To address the above, the government has implemented a temporary import duty of 200 GEL (75 USD) per ton on wheat flour imported from Russia (the average import price ranges between 225 USD/ton and 435 USD/ton). In turn, millers have agreed to purchase 1 kilogram of wheat from Georgian farmers for 0.7 GEL (0.3 USD). This policy measure is in effect until March 1, 2024.

The Georgian Flour Producers Association advocates for an extension of the temporary import duty beyond March 1, 2024, to uphold fair competition in the wheat and flour market. According to the Georgian Flour Producers Association, an extension is desirable due to the following (Resonance daily, 2024):

  • Under the import duty, fair competition between wheat flour and wheat has been restored, and Georgian mills have resumed their operations.
  • Following the government intervention, farmers have successfully sold over 50,000 tons (on average half of the annual production) of domestically produced wheat. The Ministry of Environmental Protection and Agriculture has reported a 60 percent increase in local wheat production over the past two years, with expectations of sustained growth.
  • Wheat imports have resumed, with Georgia importing 20,000 to 25,000 tons of wheat monthly, while prior to the government intervention, the average monthly wheat imports amounted to 15,337 tons (in 2022). Additionally, 8,000 to 12,000 tons of wheat flour, on average, are also imported monthly, while in the absence of government intervention, wheat flour imports surged to over 15,000 tons (in 2022).
  • Post-intervention, the price of 100 kilograms of first-quality flour has remained stable, ranging from 45 to 49 GEL. Consequently, the price of bread has not increased but remains steady.
  • The import duty has generated an additional 20 million GEL in government revenue.
  • Through the efforts of the mills, the country now enjoys a steady and strategically managed supply of wheat, in accordance with UN recommendations. Coupled with the seasonal harvest of Georgian wheat, this ensures complete food security in any unforeseen critical scenario.

While many arguments support the decision to preserve the import duty on wheat flour, in order to make an informed decision on that matter, it is essential to thoroughly assess production, trade and price dynamics in the wheat market in Georgia. Additionally, to design adequate trade policy measures, one has also to consider the issue in a broader perspective and assess the risks associated with a high dependency on Russian wheat, especially given Russia’s history of imposing wheat export restrictions.

Russian Policy on the Wheat Market

Russia has long been one of the dominant players on the global wheat market, and its periodic decisions to halt grain exports have heavily affected international wheat prices (see Table 1). This concern became especially stringent in recent years, during the Covid-19 pandemic and Russia’s war in Ukraine.

Table 1. Russia’s policy interventions in the wheat market and their estimated impact on wheat prices, 2007-2023.

Source: United States Department of Agriculture, 2022.
The Government of the Russian Federation.
The Kansas City Wheat Futures, The U.S. Wheat Associates.

One of Russia’s most recent interventions in the wheat market is its withdrawal from the Black Sea Grain Initiative – an agreement between Russia, Ukraine, Turkey, and the United Nations (UN) during the Russian invasion of Ukraine on the Safe Transportation of Grain and Foodstuffs from Ukrainian ports. While Georgia doesn’t directly import wheat from Ukraine and isn’t immediately threatened by famine, Russia’s export policies regarding wheat have raised significant food security concerns in the country. Georgia heavily depends on wheat imports from Russia, with over 95 percent of its wheat historically being sourced from there. Despite Russia’s recurrent bans and restrictions on wheat exports every 2-3 years, Georgia is yet to successfully diversify its import sources.

The Georgian Wheat Market in Figures

Domestic Production

Historically, Georgia’s agricultural sector has struggled to achieve a large-scale and sufficient wheat production due to the prevalence of small-sized farms. However, over the past decade, Georgian domestic wheat production has shown significant growth (see Figure 1). This growth has been particularly sizeable in recent years, with production increasing by 32 and 53 percent in 2021 and 2022, respectively, as compared to 2020.

Figure 1. Wheat production in Georgia, 2014-2022.

Source: Geostat, 2024.

Such increase in local production positively contributes to the self-sufficiency ratio, which increased from 7 percent in 2014 to 22 percent in 2022, in turn implying higher food security levels.

Wheat Imports

Before the introduction of Russia’s floating tariff on wheat, wheat flour imports to Georgia were almost non-existent. However, after the floating tariff was imposed on wheat, imports of wheat flour increased more than 20 times – from 743 tons in January 2021 to 15,086 tons in May 2023 – peaking at 23,651 tons in August 2022 (see Figure 2). At the same time wheat imports declined by almost 60 percent, from 29,397 tons in January 2021 to 12,133 tons in May 2023, with the smallest import quantity being 2,743 tons in May 2022 (as depicted in Figure 2).

Figure 2. Georgian wheat and wheat flour imports, 2021-2023.

Source: Geostat, 2024. Note: Imports include meslin (a mixture of wheat and rye grains).

After the introduction of the temporary import duty on wheat flour in June 2023, wheat imports have picked up, although not reaching the levels seen in 2021. Similarly, wheat flour imports have declined while remaining at higher levels than in 2021. This indicates a change in Georgia’s wheat market dynamics. Historically, Georgia predominantly imported wheat; now it imports both wheat and wheat flour. This shift must be considered in future policy design, as it has implications for domestic wheat farmers and mills.

The continued wheat flour imports, despite the temporary import duty imposed by the Georgian Government can likely be attributed to a smaller price gap between wheat and wheat flour import prices (see Table 2).

Table 2. Average import prices of wheat and wheat flour in Georgia, 2021-2023.

Source: Geostat, 2024.

In 2021, prior to Russia’s introduction of a floating tariff on wheat, the import price of wheat flour in Georgia was 24 percent higher than the import price of wheat. After the introduction of the floating tariff, importing wheat became more expensive, and the import price gap between wheat flour and wheat decreased to 22 percent by the end of 2021. Subsequently, in 2022, this gap further narrowed, and by the first half of 2023, the import price of wheat flour was 5 percent lower than the import price of wheat. This significant decrease in the price gap resulted in nearly full substitution of wheat imports with wheat flour imports. After the introduction of the import duty on wheat flour and as international wheat prices declined, a marginal positive price gap has reappeared, amounting to just 1 percent. As it stands, importing wheat flour remains more advantageous than importing wheat.

Price Effects

Russia’s floating tariff on wheat led to increased bread and wheat flour prices in 2021-2022. In June 2022, bread prices experienced the most significant surge, increasing by 36 percent, while wheat flour prices reached their peak in September 2022 with a year-on-year increase of 41 percent (see Figure 3). The primary reason for this was the record increase in wheat prices, leading to a corresponding surge in wheat flour prices in 2022. This spike occurred as the world price of wheat reached its highest point in five years.

Figure 3. Annual change in bread and wheat flour prices, 2021-2023.

Source: Geostat, 2024.

Nevertheless, in 2023 bread and wheat flour prices decreased, indicating that the import duty on wheat flour did not lead to increased prices. This could partially be explained by the fact that mills pay farmers 0.5 GEL/kg, which is lower than agreed price of 0.7 GEL/kg. Another and more crucial factor is the decline in global wheat prices. They began their descent in June 2022 and have since maintained a downward trajectory. This decrease, combined with increased local production, has so far acted as a barrier to any new bread and wheat flour price increases.

The Way Forward

The question that must be addressed is whether the import duty on wheat flour imported from Russia should be extended.

The import duty may have contributed to increased local production as higher import duties can incentivize local businesses to invest in expanding their production capacity or improving their technology to meet an increased demand. It is however essential to note that the impact of import duties on local production varies depending on the level of domestic competition, the availability of inputs (high quality seed, fertilizer etc.), technological capabilities, and government policies beyond import duties (such as investment incentives, infrastructure development, and regulatory environment). Additionally, import duties can also lead to retaliatory measures from trading partners, affecting overall trade dynamics – potentially incurring unintended consequences. Therefore, while import duties can contribute to an increased local production under certain conditions, it is just one of many factors influencing production dynamics.

Secondly, as previously detailed, the import duty has so far not resulted in increased bread prices. However, the effect of an import tariff on retail prices depends on various factors, including elasticity of demand and supply, market, competitiveness, and the extent to which the tariff is passed on to consumers by importers and retailers. Since demand for bread is inelastic, one has to keep in mind that the importers and retailers can fully pass on the increased cost from an import tariff to consumers.

Given that the floating tariff and the import duty make wheat and wheat flour imports to Georgia more expensive, one should expect future bread price increases. This unless international wheat prices continue to decline and/or producers agree to reduce their profit margins or make supply chain changes. Therefore, an extension of the import duty might be a suitable solution in the short and medium-term, but it should not be seen as a permanent solution.

To limit the risks of food scarcity in Georgia in the long run, it is essential to design strategies helping the country to reduce its dependency on Russian wheat and wheat flour. Some measures to achieve this objective may include:

Further supporting local production. Encourage investment in domestic agriculture to increase the productivity and quality of wheat production in Georgia. This can be achieved through subsidies, incentives for modern farming techniques, and access to credit for farmers.

Improving the quality of local production. Currently, most of the domestically produced wheat is unsuitable for milling into wheat flour. A significant portion of domestically produced wheat is of poor quality and instead used for feeding livestock. It is essential to invest in research and development to improve the quality of domestically produced wheat. This includes developing wheat varieties that are resistant to diseases and better suited for local growing conditions.

Seeking alternative markets for import diversification. One alternative for Georgia may be to focus on the Kazakh and Ukrainian markets (once the war is over) and negotiate possible ways to decrease the cost of transporting wheat to Georgia with state and private sector representatives.

Reducing the Georgian dependence on Russian wheat imports requires a multifaceted approach that addresses various aspects of agricultural policy, trade diversification, and domestic production capacity.

References

Resonance daily. (2024). The Association of Wheat and Flour Producers of Georgia requests an extension of the import tax on imported flour. https://www.resonancedaily.com/index.php?id_rub=4&id_artc=197847

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.

An Overview of the Georgian Wine Sector

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Georgia has an 8000-year-old winemaking tradition, making the country the first known location of grape winemaking in the world. In this policy brief we analyze and discuss major characteristics of the wine sector in Georgia, government policies regarding the sector and major outcomes of such policies. The brief provides recommendations on how to ensure sustainable development of the sector in a competitive, dynamic environment.

Introduction

The Georgian winemaking tradition is 8000 years old, making Georgia the world’s first known location of grape winemaking. There are many traditions associated with Georgian winemaking. One of them is ‘Rtveli’ – the grape harvest that usually starts in September and continues throughout the autumn season, accompanied with feasts and celebrations. According to data from the National Wine Agency, the annual production of grapes in Georgia is on average 223.6 thousand tones (for the last ten-years), with most grapes being processed into wine (see Figure 1).

Figure 1. Grape Processing (2013-2021)

Source: National Wine Agency, 2022. Note: Some producers do not participate In Rtveli and the total annual quantity of processed grape in the country might therefore be higher than the numbers presented in the figure.

Wine is one of the top export commodities for Georgia. It constituted 21 percent of the total Georgian agricultural export value in 2021 (Geostat, 2022). Since 2012 wine exports have, on average, grown 21 percent in quantitative terms, and by 22 percent in value (Figure 2). The average price per ton varies from 3 thousand USD to 3.9 thousand USD (Figure 2). Exports of still wine in containers holding 2 liters or less constitute, on average, 96 percent of the total export value.

Figure 2. Georgian Wine Exports (2012-2021)

Source: Geostat, 2022.

The main destination market for exporting Georgian wine is the Commonwealth of Independent States (CIS) countries which account for, on average, 78 percent of the export value (2012-2021). The corresponding share for EU countries is 10 percent. As of 2021, the top export destinations are Russia (55 percent), Ukraine (11 percent), China (7 percent), Belarus (5 percent), Poland (6 percent), and Kazakhstan (4 percent).  While Russia is still a top market for Georgian wine, Russia’s share of Georgian wine exports declined after Russia imposed an embargo on Georgian wines in 2006. The embargo forced market diversification and even after the reopening of the Russian market and Georgian wine exports shifting back towards Russia, its share declined from 87 percent in 2005 to 55 percent in 2021.

While there are more than 400 indigenous grape varieties in Georgia, only a few grape varieties are well commercialized as most of the exported wines are made of Rkatsiteli, Mtsvane, Kisi, and Saperavi grape varieties (Granik, 2019).

Government Policy in the Wine Sector

The Government of Georgia (GoG) actively supports the wine sector through the National Wine Agency, established in 2012 under the Ministry of Environmental Protection and Agriculture (MEPA). The National Wine Agency implements Georgia’s viticulture support programs through: i) control of wine production quality and certification procedures; ii) promotion and spread of knowledge of Georgian wine; iii) promotion of export potential growth; iv) research and development of Georgian wine and wine culture; v) creation of a national registry of vineyards; and vi) promotion of organized vintage (Rtveli) conduction (National Wine Agency, 2022).

During 2014-2016, the GoG’s spending on the wine sector (including grape subsidies, promotion of Georgian wine, and awareness increasing campaigns) amounted to 63 million GEL, or 22.8 million USD (As of November 1, 2022, 1 USD = 2.76 GEL according to the National Bank of Georgia). Out of the spending, illustrated in Figure 3, around 40-50 percent was allocated to grape subsidies implemented under the activities of iv) (as mentioned above).

There are two types of subsidies used by the GoG– direct and indirect. Direct subsidies imply cash payments to producers per kilogram of grapes. As for indirect subsidies, they entail state owned companies purchase grapes from farmers.

Starting from 2017, the GoG decided to abandon the subsidiary scheme and decrease its spending on of the wine sector.  The corresponding figure reached a minimum of 9.2 million GEL (3.3 million USD) in 2018. Meanwhile, the grape production has been increasing, reaching its highest level in 2020 (317 thousand tons). In 2020, the GoG resumed subsidizing grape harvests to support the wine sector as part of the crisis plan aimed at tackling economic challenges following the Covid-19 pandemic. The corresponding spending in the wine sector increased from 16.7 million GEL (around 6 million USD) in 2019 to 113.4 million GEL (41 million USD) in 2020, out of which the largest share (91 percent) went to grape subsidies. In 2021, the GoG continued its extensive support to the wine sector and the corresponding spending increased by 44 percent, compared to 2020. The largest share again went to grape subsidies (90 percent).

Figure 3. Grape Production and Government Spending on the Wine Sector (2014-2021)

Source: Ministry of Finance of Georgia, National Statistics Office of Georgia, Author’s Calculations, 2022.

In 2022, the GoG have continued subsidizing the grape harvest to help farmers and wine producers sell their products. During Rtveli 2022, wine companies are receiving a subsidy if they purchase and process at least 100 tons of green Rkatsiteli or Kakhuri grape varieties grown in the Kakheti region, and if the company pays at least 0.90 GEL per kilogram for the fruit. If these two conditions are satisfied, 0.35 GEL is subsidized from a total of 0.9 GEL per kilogram of grapes purchased (ISET Policy Institute, 2022). Moreover, the GoG provides a subsidy of 4 GEL per kilogram for Alksandrouli and Mujuretuli grapes (unique grape varieties from the Khvanchkara “micro-zone” of the north-western Racha-Lechkhumi and Kvemo Svaneti regions), if the buying company pays at least 7 GEL per kilogram for those varieties (Administration of the Government of Georgia, 2022). Overall, about 150 million GEL (54.2 million USD), has been allocated to grape subsidies in 2022.

Policy Recommendations

Although the National Wine Agency is supposed to implement support programs in various areas like quality control, market diversification, promotion and R&D, these areas lack funding, as most of the Agency’s funds are spent on subsidies. Given that the production and processing of grapes have increased over the years, subsidies have been playing a significant role in reviving the wine sector after the collapse of the Soviet Union (Mamardashvili et al., 2020).  However, since the sector is subsidized as of 2008, the grape market in Georgia is heavily distorted. Prices are formed, not on the bases of supply and demand but on subsidies, which help industries survive in critical moments, but overall prevent increases in quality and fair competition. They further lead to overproduction, inefficient distribution of state support and preferential treatment of industries (Desadze, Gelashvili, and Katsia, 2020). After years of subsidizing the sector, it is hard to remove the subsidy and face the social and political consequences of such action.

Nonetheless, in order to support the sustainable development of the sector, it is recommended to:

  1. Replace the direct state subsidy with a different type of support (if any), directed towards overcoming systemic challenges in the sector related to the research and development of indigenous grape varieties and their commercialization level.
  2. Further promote Georgian wine on international markets to diversify export destination markets and ensure low dependence on unstable markets like the Russian market. Although wine exporters have in recent years entered new markets, to further strengthen their positions at those markets, it is vital to:
    • ensure high quality production through producers’ adherence to food safety standards.
    • promote digitalization – e-certification for trade and distribution, block chain technology for easier traceability and contracting, e-labels providing extensive information about wine etc. – enabling producers to competitively operate in the dynamic environment (Tach, 2021)
    • identify niche markets (e.g. biodynamic wine) and support innovation within these sectors to ensure competitiveness of the wine sector in the long-term (Deisadze and Livny, 2016).

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.

Land Market and a Pre-emptive Right in Farmland Sales

20211025 Land Market Image 01

After more than 20 years of a land sales ban, Ukraine finally opened its farmland market on July 1st, 2021. A design of the land market contains a pre-emptive right to buy the land for the farmland tenants. In this study, we model the effect of this pre-emptive right. Following the approach of Walker (1999), we use a theoretical model with three players – landowner, potential buyer, and the tenant – to model outcomes of the land transactions with and without the pre-emptive right. To empirically estimate the effect of the pre-emptive right, we use farm-level data to derive farmers’ maximum willingness to pay and the minimum price that landowners are willing to accept. The introduction of the pre-emptive right decreases the land price and increases the tenant’s chances of winning as well as his surplus, at the cost of a potential buyer and the landowner. The introduction of the pre-emptive right also leads to inefficient distribution and deadweight losses to the economy.

Introduction

After more than 20 years of a land sales ban, Ukraine finally opened its farmland market on July 1st, 2021. The moratorium on the sales of agricultural land in Ukraine covered of 96% of the country’s farmland market (or 66% of its entire territory).

The critical element of the newly opened Ukrainian farmland market design is the pre-emption right (right of the first refusal, RoFR) that is granted to the current tenant of land plots. By applying their pre-emptive right, tenants can purchase the land at the highest price the landowner could get on the market. On top of that, this right is transferable, meaning that the tenant could sell the right to the interested party. In this brief, we model the consequences of the pre-emptive right introduction in Ukraine.

Farmland Market in Ukraine

The moratorium on farmland sales that was in place for the last 20 years created a substantial distortion on the farmland market. It led to the situation where large companies predominantly cultivate the rented land, with the average share of leased land in the land bank for corporate farms in Ukraine approaching 99% (Graubner et al., 2021). Another noticeable trait of the farmland market in Ukraine is significant inequality in Ukrainian farms’ land banks. Based on the statistical forms 50AG, 29AG, and 2farm, our calculations show that the GINI index for the allocation of cultivated land across farms in Ukraine is 86%, indicating an extreme degree of inequality. As we can see from Table 1 – the top 10% of farms operate on 75% of all cultivated farmland in Ukraine.  On the other side of the spectrum, 49% of the smallest farms in Ukraine operate on only 2% of the cultivated farmland and rent only 0,3% of all rented farmland.

Table 1. Ukrainian farmland market structure 

Source – own calculations based on the statistical forms 50AG, 29AG, 2farm for the year 2016.

Therefore, in our analysis, we break a sample of Ukrainian farms into five categories with respect to their size.

Framework

To model the effect of the pre-emptive right, we will use the approach proposed by Walker (1999) using farm-level data. Thus, this study compares two scenarios – with the pre-emptive right (right of the first refusal, RoFR) and without the pre-emptive right in place. We assume that there are only three sides to each transaction – the seller (landowner), the prospective buyer, and the tenant, to whom the pre-emptive right is granted. Throughout this brief, we assume that there are no transaction costs involved.

Scenario 1. No Pre-emptive Right

In the no-RoFR scenario, the prospective buyer offers the landowner a price that the seller is willing to accept. The seller now has two options: either accept and get the offered price or reach the tenant and propose to outbid this offer. The option of reaching a tenant is more attractive since, in a worst-case scenario, if the tenant’s valuation – i.e., the maximum price the tenant is willing to pay for the land plot – is lower than the offered price, the tenant would simply not respond to this offer, and the landlord still gets the offered price.

On the other hand, if the tenant’s valuation is higher than the offered price, he has a strong incentive to make the counteroffer and start a bidding process. Both the tenant and the prospective buyer are incentivized to make a counteroffer up until the point where the offer’s value reaches their respective valuation. Thus, the smallest valuation between those of the tenant and prospective buyer would be the final transaction price.

Scenario 2. A Tenant Has the Pre-emptive Right

In this scenario, the tenant does not need to increase the price in his counteroffer if the third-party buyer’s offer is lower than the tenant’s valuation. The tenant could execute his pre-emptive right and buy the plot at the third-party buyer’s proposed price. Therefore, the outside buyer will change his approach to the initial offer. If the offer he makes is “too low”, he loses the chance of buying this plot since the tenant would exercise his pre-emptive right. If the offer is “too high,” he misses the profit he would make by making a lower offer.

In such circumstances, the transaction price will be given by the third-party buyer’s offer that maximizes his expected profit. The latter, in turn, depends on the probability of the tenant exercising his preemptive right, the third-party buyer’s own valuation, and the price he offers to the landlord. The probability of the tenant exercising the offer is the probability that the tenant’s valuation exceeds the offered price. It depends on the tenant’s farm size category and on the offer itself and can be calculated based on the distribution of valuations.

Empirical Approach

Our empirical analysis considers a (hypothetical) situation of a third-party buyer coming to the landowner, whose land is rented to another farmer, with the offer to buy a one-hectare plot. We assume that the offer exceeds the landowner’s minimum price that a landowner is willing to accept (WTA). The landowner’s WTA is proxied by the current rental price the landlord gets multiplied by the capitalization rate, set to 20 for all three sides of the transaction. The farmers’ valuations are estimated based on their net profit per hectare. We use the farm-level data to compute the average net profit per hectare needed for valuations estimation and the average rental price per hectare for the WTA estimation. This data was collected by the State Statistics Service of Ukraine through statistical questionnaires called 50AG, 29AG, and 2farm for the year 2016 and covers 39,297 farms. The descriptive statistics of the data are presented in table 2.

Table 2. Descriptive statistics

Source: own calculations based on the statistical forms 50AG, 29AG, 2farm for the year 2016.

We construct a set of potential buyers for each farm that operates on rented land based on the 10-km threshold distance between the tenant and third-party buyer. We end up with a sample of 764760 pairs of tenants and potential third-party buyers. We drop all pairs where third-party buyers cannot make an offer landlord is willing to accept. Therefore, only a sample of 291506 observations of tenant – prospective buyer pairs is used for the analysis. Importantly, for large and ultra-large farms, the share of observations that would attempt a transaction is 70% and 69% correspondingly. On the lower side of the size spectrum, this share is noticeably lower. For the group of small third-party buyers, the buyer would attempt the transaction only in 42% of cases. The most excluded from the farmland sales market category are ultra-small farms as they would only attempt the transaction in 25% of all cases.

Results

Our findings suggest that the effect of the pre-emptive right on the land price is twofold. On the one hand, in 55% of cases – the RoFR price is higher than the (modelled auction) price in the absence of a preemptive right. However, the median price differences in these cases are just 0,7% of the auction price. At the same time, for the cases where the auction price is higher than the price with the RoFR, it exceeds the RoFR price, on average, by 83%, with a median value of 66%. As a result, if we compare the expected prices, the expected prices under the RoFR are significantly lower than the auction prices. There are also differences between different farm size categories of the third-party buyer – the larger the buyer is, the higher the transaction price would be regardless of the RoFR. In the scenario without the RoFR, the average transaction price for ultra-small farms would be $1259 per hectare. While for the ultra-large farm as the third-party buyer, the transaction price would be $1647. With the pre-emptive right granted to the tenant, the transaction prices would be $977 and $1313 correspondingly.

The pre-emptive right also increases the probability of the tenant acquiring the land. The most noticeable effect is for ultra-small and small farms – if an outside buyer attempts the transaction, their chances of purchasing the land increase from 12% to 28% and from 23% to 45%, respectively. The probability increase for the larger tenants persists, but percentage-wise it is smaller – their probability of purchasing the land due to the granted pre-emptive right increases from 42-45% to 65-66%.

The pre-emptive right also redistributes the surplus from the transaction. Measuring the surplus as the difference between the valuation and the buyer’s actual purchase price, we can conclude that the third party’s surplus decreased due to the RoFR introduction. The tenant’s surplus, on the other hand, increases. In the case of RoFR introduction, the percentage increase in the tenant’s surplus is larger for the ultra-small and small farmers, from 5% to 13% and from 10% to 23% of the tenant’s valuation, respectively. For larger farms, albeit the surplus’ increase is larger in absolute terms, percentage-wise, it is smaller than for their smaller counterparts. Their average surplus increased from 18-20% to 37-38% of the tenant’s valuation. For the third-party buyers, the percentage-wise decrease is more or less the same, regardless of their farm size. Their surpluses, on average, shrink by 23-27% depending on the size of the farm.

We also estimated the effect of the pre-emptive right on the joint surplus of the landlord and the tenant. The effect of the pre-emptive right on their joint surplus is positive regardless of the size category of the tenant. The largest increase of the joint surplus, percentage-wise, is observed for the small-sized farms as a tenant. In this case, the average joint surplus increased by 5%, translating into an $87 increase in the joint surplus. In absolute terms, the highest increase is for medium-sized farms as a tenant – $108 increase in the surplus or 4.5% of their original joint surplus.

The pre-emptive right also leads to inefficient allocations when the land is acquired by a lower valuation party, resulting in deadweight losses. Inefficient allocation is observed in 19% of all observations. The deadweight losses generated by the introduction of the ROFR are statistically significant (with the t-value equal to 195) and average 233 USD per hectare.

Conclusions

In this brief, we suggest a theoretical and analytical approach to calculate the impact of the pre-emptive right in farmland sales. Our analysis offers a range of important findings. First, small and medium-sized farms are almost entirely excluded from the farmland market. While more than two-thirds of the medium, large or ultra-large farms can afford to buy a nearby parcel, based on their profitability – for ultra-small farms, which have a land bank of under 50 hectares – this share is equal to just 25%. The introduction of the pre-emptive right granted to the current tenant may exaggerate this problem. The reason is that most of the rented land is already controlled by large and ultra-large companies. At the same time, the pre-emptive right increases the tenant’s probability of winning and its surplus at the expense of the landowner and outside buyer.

On the other hand, the pre-emptive right increases the joint surplus of the tenant and the landowner. Therefore, if the pre-emptive right would be a voluntaristic clause in the contract, rather than a right granted to all tenants by the government, it creates an incentive to include the pre-emptive right in the rental agreement with the price of this right negotiated between the landlord and the tenant.

Summing up, the pre-emptive right, as a policy instrument, has its costs. It leads to inefficient distribution and deadweight losses. In view of this, as much as the recent farm market reform in Ukraine is a clear step towards a market economy, the design of the land market should be taken with a grain of salt.

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.

Food Security in Times of Pandemic in Georgia

An image of the wheat field with with grain harvester representing food security

The lockdowns and trade restrictions related to the COVID-19 pandemic resulted in shortages of some major food commodities on international and local markets. In this policy brief, we discuss and analyze Georgia’s response to the crisis in terms of food security and agricultural policy. Furthermore, we provide recommendations to ensure fewer disruptions in food supply chains and low volatility in food prices.

Background

COVID-19 has posed significant risks to the food security of many countries including Georgia. Lockdowns and pandemic-related trade restrictions across the world have resulted in shortages of some major food commodities on international and local markets (e.g. sunflower oil shortage in Russia). As of October 16, 2020, according to a World Bank report, 62 jurisdictions have executed a total of 62 export controls in food commodities since the beginning of 2020 (Table 1).

Table 1. Total number of new export controls and import reforms in the food sector globally since January 2020, by month.

Source: World Bank Group, Global Alert Team, 2020

Most of the interventions have involved import reforms with the largest number of new regulations imposed in March-April.  On August 18, 2020, the Eurasian Economic Commission announced an EAEU import tariff quota on certain agricultural goods, valid for 2021. Turkey has also conducted a price stabilization policy by announcing purchasing prices for apricots, paddy, and dried raisin. On August 5, 2020, the government of Turkey introduced additional customs duties on certain agricultural products including chocolate, pasta, and some food preparations. It also eliminated import duties on wheat and barley in October.

Given that Georgia is a net importer of food, and in light of the trade restrictions imposed by its major trade partners, food security moved up on Georgia’s agricultural policy agenda. In order to weaken the adverse impact of the pandemic, keep food prices stable, and reduce input prices for farmers, the state designed the following set of measures:

  • 10M Georgian lari (GEL) from the Ministry of Environmental Protection and Agriculture (MEPA) budget were allocated to subsidize imports of 9 food products: pasta, buckwheat, vegetable oil, sugar, wheat, wheat flour, milk powder, and beans (Legislative Herald of Georgia, 2020). The program subsidized importers’ additional costs resulting from exchange rate fluctuations and was implemented between March 15-May 15;
  • Additional 16M GEL were allocated for purchasing sugar (5,000 tons), vegetable oil (1,500 thousand liters), and pasta (500 tons) stocks from private companies;
  • An anti-crisis plan, “Caring for Farmers and Agriculture”, was presented by the state on March 12. The plan entailed two forms of aid: direct assistance to farmers and sectoral support. Some of the support measures included the distribution of so-called “agricultural cards”– subsidies for cattle-breeding and land cultivation services for smallholder farmers (registered farms with plots in the range of 0.25-10 ha); provision of cheap diesel fuel for farmers; nullification of costs of land reclamation services; provision of agricultural loans and insurance; grants for machinery, equipment, and cooperatives.

Results of Government Interventions

As of October 9, 2020, state support schemes had the following results:

  • Up to 165,000 farmers had been granted agricultural cards. The size of the subsidy exceeded 28.9M GEL;
  • Under the agro-diesel program (which subsidized fuel prices for agro-producers) 122,000 beneficiaries received discount cards on 32,000 tons of agro-diesel;
  • More than 17,000 policies had been issued and 18,000 hectares (around 2% of agricultural land) had been insured under the agro-insurance program. The value of the insured crop exceeded 160M GEL;
  • Across different regions of Georgia, 255 applications for modernization of the dairy sector were approved. In total, 12.4M GEL were spent on this program;
  • 2,215 agro-loans had been issued with a 6-month interest rate covered by the state. The total amount of loans exceeded 40M GEL, including the co-financing of interest rates, which exceeded 3.3M GEL.

While many farmers have benefited from state support programs, these programs were not directly focused on the main consequences of the pandemic. The major threats posed by the pandemic – disruptions in food supply chains leading to decreased sales of agricultural products and price volatility – were not sufficiently addressed by the state support programs. According to the Georgian Farmers’ Association (GFA), 55% of surveyed farmers and agricultural business representatives encountered complications with product realization due to pandemic-related restrictions. Most farmers depend on the HoReCa (hotels, restaurants, and cafés) and hospitality sector, and their products are largely procured for accommodation and food facilities. 60% of those surveyed claimed that they were simply unable to sell their products due to the closure of hotels, restaurants, and cafés.

Food Price Dynamics

During March-May 2020 – the first months of the pandemic – food prices in Georgia showed upward trends on both a month-on-month and year-on-year basis (Figure 1).

Figure 1. Month-on-month and year-on-year changes in food prices

Source: GeoStat, 2020

The main explanation is likely the depreciation of the GEL against the US dollar: during March-May 2020, the GEL depreciated against the USD by 15.8% from 2.71 to 3.14 compared to March-May 2019 (National Bank of Georgia, 2020). As Georgia is a net importer of food commodities, the depreciation of the GEL put upward pressure on food prices. To limit the GEL depreciation and its impact on food prices, the Government of Georgia subsidized additional costs of importers of major food commodities arising from exchange rate fluctuations. The price restraint mechanism involved negotiating with food importers to not increase prices of their commodities and setting the exchange rate of the GEL against the USD at 3, while the Government of Georgia subsidized the corresponding difference between the actual and fixed exchange rates. Despite minimizing the effects of GEL depreciation, food prices in Georgia experienced a significant increase during the observed period: disruptions in supply chains associated with the COVID-19 pandemic led to food shortages that further increased food prices.

In April, annual food price inflation marked its highest level at 16.1% during March-August 2020.  Since then, annual food price inflation has been decreasing as farming activities resumed after COVID-19-related restrictions were relaxed and seasonal (locally produced) agricultural products appeared on the market. Accordingly, food prices started to decrease on a monthly basis.

However, with very few exceptions, prices for major food commodities that were subsidized by the state during March-May increased for both month-over-month and year-on-year comparison (Table 2). On a monthly basis, the biggest price changes were observed for sugar; while on annual basis prices for buckwheat increased the most.

Table 2. Year-on-year changes in prices of major food commodities, March-September 2020

Source: GeoStat, 2020

While food prices could have increased even more in the absence of subsidies, it appears that the state measures did not fully reach their objectives and could not fully overshadow the adverse impact of the pandemic and GEL depreciation.

Recommendations

The pandemic has shown the need for increasing the level of food security in Georgia. Given the multidimensional nature of food security, a longer-term policy should consider not only an increase in domestic production of key food commodities but also a diversification of import markets to ensure low volatility in food supply and prices. As an immediate response to the pandemic, it is recommended to:

  • further subsidize farm inputs in order to reduce the current costs of production;
  • support farmers in selling their produce;
  • develop state programs that strengthen local producers;
  • focus on diversification of import markets for food commodities which constitute a high share of households’ consumption basket.

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.

Tax Meat to Save the Baltic Sea

Portion of meat placed on a wooden pallet representing idea of tax meat to save the Baltic Sea

In a world of perfect markets, where prices are “right”, consumers’ choice should, with few exceptions, be limited only by their budget constraints. But in the case of agricultural products, the “right” prices are not in place. One reason is that producers in this sector do not bear the costs for the externalities they generate. Focusing on the case of the Baltic Sea, this brief provides some insights into why livestock producers are, by and large, exempted from environmental policies, and raises the question whether something should be done about it.

An Italian expression describes the attempt to juggle too many projects or attain too many goals at once, with the tacit implication that something is bound to fail. “Avere troppa carne al fuoco“: literally, to have too much meat on the grill. This, in a metaphorical but also quite literal sense, is the dominant impression left by some summer reading about the situation of the Baltic Sea.

The Baltic Sea is home to the world’s largest anthropogenic “dead zone”. The main culprit is the unsustainable livestock production in the region, generating externalities (i.e., costs that economic actors impose on others without paying a price for it) that short-circuit the functioning of the markets, creating a case for regulatory intervention. The concept of externalities is today most famously related to the issue of carbon dioxide emissions and climate change, felt by many as the most pressing challenge mankind has to deal with at present. In recent years, a lot of brain power has been spent on this, but there is more to environmental degradation and climate change than just CO2 and rising temperatures. A very conspicuous example is literally under our eyes, in the water body that lies between our lands. What should we do about it?

A Layman Understanding of the Background

For at least three decades, eutrophication (i.e., nutrient accumulation) and hypoxia (i.e., oxygen depletion) in the Baltic Sea has triggered and boosted each other in a vicious cycle. The nutrients discharged in the water fertilize the ocean floor resulting in an excess algal bloom. This underwater forest consumes oxygen, thus altering the balance between chemical elements in the water, so that even more nutrients are released and the cycle continues (for further references, see [16, 19, 21]). Beyond the algae and the decreased transparency of the water, these deep changes in the sea environment start to make them noticed in fish stocks depletion, but can more generally become devastating to both the marine and terrestrial ecosystems. Moreover, according to researchers, these conditions are going to increase the sensitivity of the area to the global climatic changes expected in the near future. This is seriously threatening a large part of economic activities in the whole catchment of the sea, an area of 22,500,000 km2 over nine countries with 85 million inhabitants.

Since 1974, all sources of pollution around the sea have been subject to a single convention, the Helsinki Convention, signed by the then seven Baltic coastal states. The Helsinki Commission, or HELCOM, is the governing body of the Convention, whose present Contracting Parties are Denmark, Estonia, the European Community, Finland, Germany, Latvia, Lithuania, Poland, Russia and Sweden. For over three decades, HELCOM has monitored the situation. Alarming reports have followed one upon the other, together with policy recommendations to the contracting parties.

As stated on its website, “the work of HELCOM has led to improvements in various fields, but further work is still needed [… and] the remaining challenges are more difficult than earlier obstacles”. Reductions in emissions achieved so far are low hanging fruits, concerning major point sources, such as larger cities’ sewage treatment plants and industrial wastewater outlets. Due to both technical and socio-economic obstacles, achieving further reductions will be a tougher task. This is because it is now time to address diffuse sources of nutrients such as run-off from over-fertilized agricultural lands. Nevertheless, according to numerous studies (among others, [19, 23]), a substantial reduction of the nutrient load discharged into the sea appears necessary in order to reduce further damage; all the more, so given that it takes many decades for the sea to recover. The question is hence whether more stringent policy instruments might be needed.

According to researchers at HELCOM, eutrophication of the Baltic Sea is due to the excess of nitrogen and phosphorus loads coming from land-based sources. About 75% of nitrogen and 52% of phosphorus come from agriculture and the livestock sector. In particular, the main reason for the sharp increase in nutrient loads during the last 50 years is the intensification and rationalization process. This was partly stimulated by the EU Common Agricultural Policy in its early phase, with a geographic separation between crop and animal production [6, 9, 10]. On the one hand, animal farms grew ever bigger, in the order of tens of thousands of animals for cattle, hundreds of thousands for swine and millions for chicken farms. These giant facilities produce way more manure than what could be absorbed by crop production in their vicinity. Cheap fodder to these extremely dense animal populations is produced on large scale crop fields elsewhere, too far away for transport of manure to be feasible and instead using high-yield chemical fertilizers. This way, the nutrient surplus is multiplied at both locations; it leaks through the ground or in the waterways from the big heaps of manure that cannot be properly stored or disposed of, and it leaks from the over-fertilized fields (shocking case studies are reported by HELCOM [11]).

However, a different type of agriculture exists in the area known as Ecological Recycling Agriculture (ERA). This is based on more traditional methods and means that farms have a lower animal density and use the manure as fertilizer in an integrated production of crop to be used for animal feed. In this way, ERA manages to better close the cycle of nutrients with very little dispersion to the environment. Scenarios simulations [12] show that, expanding the presence of ERA from the negligible shares it currently accounts for (between zero and a few percentage points, varying by sector and country) would contribute considerably to solving the problem. The nitrogen surplus discharged into the sea yearly could decrease by as much as 61% if all agricultural production in Poland and the Baltic states were converted to the standard of the best ERA facilities currently operating (the Swedish ones), without affecting the current volumes of crop and animal products. However, this is not likely to happen spontaneously, precisely because of the externalities discussed above. As long as the external costs are unaccounted for and ignored, scale economies push in the direction of concentration and intensification, which is the current development path of the sector.

A Difficult Question

Zooming out from the Baltic Sea and looking at the bigger picture, one starts to wonder why the agricultural sector is so seldom a part of environmental policy or even the debate. Recent research has raised awareness about the contribution of the agriculture and livestock sector to climate change [5, 8, 14, 17]. Beyond nitrogen and phosphorus, the expansion of livestock farming is behind the rising emissions of methane. It is the next most common greenhouse gas after CO2 and responsible for 19% of global warming from human activities. This is more than the share of all transportation in the world combined [18].

A new American Economic Review paper [13] provides a broad picture of the sources of air pollution in the American economy, for the first time computed separately by sector and industry, and with the purpose of incorporating externalities into national accounts. Crop production and livestock production stand out among the five industries with the largest gross external damage (GED), defined as the dollar value of emissions from sources within the industry. In fact, the agricultural sector has the highest GED to value added ratio.

However, greenhouse gases are not the only externality generated by livestock production. The animals’ living conditions under modern farming methods favor the emergence of infections and new diseases that reach much further than through direct consumption of related products, as the recent E. coli episode in Europe brought to attention. The generalized use of antibiotics in animal feed, legal and widespread in some countries [3], constitutes an even bigger health threat. This is because it has the potential of generating antibiotic-resistant mutations of bacteria against which we would be completely defenseless should they pass to humans.

Moreover, the public has from an animal-rights and ethics perspective become increasingly concerned about the animals’ living conditions. 77% of respondents to the Eurobarometer 2005 believe that the welfare-protection of farm animals in their country needs to be improved. 96% of American respondents to the Gallup 2003 survey say that animals deserve legal protection, and 76% say that animal welfare is more important than low meat prices. Additionally, a comparable share advocates passing strict laws concerning the treatment of farmed animals.

In rich countries, the increased share of meat in the diet, which has been stimulated by decreasing relative prices, constitutes according to some medical research a health hazard in itself. In developing countries, raising livestock is an inefficient and expensive converter of fossil fuels into calories for human consumption. In addition, fodder production often displaces other important land uses such as forests.

It is easy to rationalize the absence of these issues from the policy agenda. It is not just a matter of powerful lobbies. The ownership structure and size composition make the agricultural sector so heterogeneous that the challenges in regulating it can easily be imagined. Adding to this, is the special role of food in culture, the “local” products so often linked to national identity, the romantic idea of the land nourishing its people, and of course the strategic role of being food self-sufficient [7]. In the past, the latter was linked to wars and famines. Perhaps, even in our projections about the future, self-reliance in food production still plays an important role in the perspective of global climate changes and accordingly limited or modified trade flows. However, we cannot afford to grant this sector a special status and ignore all the social costs it generates. Can we learn anything from current research on how all these externalities should be addressed?

Policy Tools

In the terminology of Baumol and Oates’ classic book on environmental policy, instruments can be categorized as “command and control”. For example, explicit regulation of standards and technologies with associated prohibitions and sanctions; information provision, that then lets the power in the hands of the consumers; and price-based instruments, in the form of taxes, subsidies or trading schemes. These can be imposed on inputs or output, with different implications [4].

The relatively high-level standards of EU environmental legislation (legally stipulated maximum livestock density per hectare, requirements of minimum manure storage capacity, ban on winter manure spreading) is effectively enforced in some countries. In the newer members states, on the other hand, issues have been reported [15] in the form of incomplete translation of EU legislation into the national regulations and ineffective enforcing, significant examples of unlawful practices by foreign companies (e.g. Danish companies in Poland and Lithuania) and limited public access to environmental information. When it comes to non-EU members in the Baltic Sea area, these problems are scaled up, with very large animal farms, lack of many important environmental regulations (no limits on livestock density, capacity of manure storage or ammonia emissions from stored and utilized manure, too generous limits for amount of manure allowed, etc.) and an insufficient environmental information system.

Information undoubtedly plays an important role, but to rely on consumers’ pressure might not be sufficient to solve this type of issues. Consumers are not famously a very effective pressure group, because of organizational issues and the classic collective action problems. Direct regulation of activities is certainly necessary, especially when it comes to the most important rules of the game for producers. However, the heterogeneity of the sector creates a trade-off between environmental precision and transaction costs of implementation and control in practice. For example, the damage of nitrate leaching depends on the type of soil; the policy measure is precise when it restricts leaching losses on sites that have specific characteristics. However, the costs of enforcing measures only at these sites are high. Alternatively, curbing nitrate use in general has low transaction cost, but because it will also affect sites without problems of nitrate in the groundwater, it also has low precision. This may be considered unfair or illegitimate [24].

Another limit of this approach is the lack of flexibility: once a particular practice becomes forbidden, it is likely that some other behavior emerges from the creativity of the actors involved that was not foreseen by the norm but could potentially present the same problems as the forbidden one. This will happen as long as the private incentives of the actors are not aligned with the policy goal.

Often the best way to curb a particular activity that, as in this case, has a number of unwanted side effects, is not to ban it but to put a price on it. As in the case made for CO2, a market based approach could also in this area offer the advantage of being cost-effective and at the same time stimulate creative new solutions, e.g. new technologies for manure processing. Therefore, one immediate questions concerns why the agriculture sector is not included in the European emission trading scheme (ETS)?

The European Union launched already in 2005 its version of a cap and trade scheme, covering some 11,000 power stations and industrial plants in 30 countries. As from 2013, the scope of the European ETS will be extended to include more sectors such as aviation, but not agriculture or livestock. The main limitation of ETS is that it does not address spatial concentration problems. When emissions have an immediate effect on the local environment, permit trading does not guarantee the achievement of targets at each location. On the contrary, the possibility of trading emission permits combined with economies of scale might lead to the emergence of emission hotspots, sites with highly concentrated amounts of pollutants locally affecting the environment and the population. A proposed variation is a scheme for tradable concentration permits, either for manure [20] or for animal production [2]. A concentration permit is defined as the permission to deposit a quantity of pollutants at a specific location. The permits can then enter a trading system, but the use of the right remains linked to the site. Some authors believe that in practice, such systems generate high transaction costs and cannot achieve cost-effectiveness.

An input tax, for example on chemical fertilizers or imported fodder, or a direct tax on emissions would only affect the balance between domestic production and imports from countries that do not have the same regulation. Moreover, as discussed above, emissions are far from being the only problem. An alternative, as argued by Wirsenius, Hedenus and Mohlin at the Chalmers University of Technology and University of Gothenburg [22] is an output tax, i.e. a tax on meat consumption, on the grounds that costs of monitoring emissions are high, there are limited options for reducing emissions apart from output reduction, and the possibility for output substitution in the consumption basket are substantial. Moreover, a tax on consumption would avoid international competition from products that are not produced with the same standards.

A meat tax has shortly appeared in the public debate, for example in the Netherlands and in Sweden, but it has failed to gain much popularity so far. Meat consumption in the area has increased considerably in recent years –between 30% in Germany and 160% in Denmark since 1960 – and relative prices have fallen. By a combination of price and income effects, it has become a norm to eat meat every day, or even at every meal. It must be recognized, though, that while each single policy instrument discussed above has its shortcomings, because of the many interrelated aspects of the problem, a reduction in output, perhaps through a consumption tax, would address in a more comprehensive way all the different externalities related to meat production. After all, maybe there is just too much meat on our grills.

Recommended Further Readings

  • [1] ”Slaktkropparnas kvalitet i ekologisk uppfödning”. Technical report, Ekokött, 2006.
  • [2] J. Alkan-Olsson. Sustainable Water Management: Organization, Participation, Influence, Economy., volume 5, chapter Alternative economic instruments of control. VASTRA, Gothenburg University, 2004.
  • [3] Mary D. Barton. “Antibiotic use in animal feed and its impact on human health”. Nutrition Research Reviews, 13:279–299, 2000.
  • [4] W.J. Baumol and W.E. Oates. The theory of environmental policy. Cambridge Univ Pr, 1988.
  • [5] J. Bellarby, B. Foereid, and A. Hastings. Cool Farming: Climate impacts of agriculture and mitigation potential. Greenpeace International, 2008.
  • [6] M. Brandt and H. Ejhed. Trk transport-retention-källfördelning. Belastning på havet. Naturvårdsverket Rapport, 5247, 2002.
  • [7] F. Braudel, S. Reynolds, and S. Reynolds. The structures of everyday life: The limits of the possible. Harper & Row, Publ., 1981.
  • [8] A. Golub, B. Henderson, and T. Hertel. Ghg mitigation policies in livestock sectors: Competitiveness, emission leakage and food security. In Agricultural and Applied Economics Association 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania. Agricultural and Applied Economics Association, 2011.
  • [9] A. Granstedt. Increasing the efficiency of plant nutrient recycling within the agricultural system as a way of reducing the load to the environment–experience from Sweden and Finland. Agriculture, ecosystems & environment, 80(1-2):169–185, 2000.
  • [10] A. Granstedt and M. Larsson. “Sustainable governance of the agriculture and the Baltic Sea – agricultural reforms”, food production and curbed eutrophication. Ecological Economics, 69:1943–1951, 2010.
  • [11] HELCOM. “Balthazar project 2009-2010: Reducing nutrient loading from large scale animal farming in Russia”. Technical report, 2010.
  • [12] M. Larsson and A. Granstedt. “Sustainable governance of the agriculture and the Baltic Sea–agricultural reforms, food production and curbed eutrophication”. Ecological Economics, 69(10):1943–1951, 2010.
  • [13] Nicholas Z. Muller, Robert Mendelsohn, and William Nordhaus. “Environmental accounting for pollution in the United States economy”. American Economic Review, 101:1649–1675, 2011.
  • [14] T. Nauclér and P.A. Enkvist. “Pathways to a low-carbon economy: Version 2 of the global greenhouse gas abatement cost curve”. McKinsey & Company, pages 26–31, 2009.
  • [15] J. Skorupski. “Report on industrial swine and cattle farming in the Baltic Sea catchment area”. Technical report, Coalition Clean Baltic, 2006.
  • [16] B. Smith, A. Aasa, R. Ahas, T. Blenckner, T.V. Callaghan, J. Chazal, C. Humborg, A.M. Jönsson, S. Kellomäki, A. Kull, et al. “Climate-related change in terrestrial and freshwater ecosystems”. Assessment of Climate Change for the Baltic Sea Basin, pages 221–308, 2008.
  • [17] P. Smith, D. Martino, Z. Cai, D. Gwary, H. Janzen, P. Kumar, B. McCarl, S. Ogle, F. OMara, C. Rice, et al. “Greenhouse gas mitigation in agriculture”. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences, 363(1492):789–813, 2008.
  • [18] H. Steinfeld, P. Gerber, T. Wassenaar, V. Castel, M. Rosales, and C. de Haan. “Livestock’s long shadow: environmental issues and options”. 2006.
  • [19] E. Vahtera, D.J. Conley, B.G. Gustafsson, H. Kuosa, H. Pitkänen, O.P. Savchuk, T. Tamminen, M. Viitasalo, M. Voss, N. Wasmund, et al. “Internal ecosystem feedbacks enhance nitrogen-fixing cyanobacteria blooms and complicate management in the Baltic Sea”. AMBIO: A journal of the Human Environment, 36(2):186–194, 2007.
  • [20] B. Van der Straeten, J. Buysse, S. Nolte, L. Lauwers, D. Claeys, and G. Van Huylenbroeck. “Markets of concentration permits: The case of manure policy”. Ecological Economics, 2011.
  • [21] H. von Storch and A. Omstedt. “The BALTEX Assessment of Climate Change for the Baltic Sea basin, chapter Introduction and summary”. Berlin, Germany: Springer., 2008.
  • [22] S. Wirsenius, F. Hedenus, and K. Mohlin. “Greenhouse gas taxes on animal food products: rationale, tax scheme and climate mitigation effects”. Climatic Change, pages 1–26, 2010.
  • [23] F. Wulff, O.P. Savchuk, A. Sokolov, C. Humborg, and C.M. Mörth. “Management options and effects on a marine ecosystem: assessing the future of the Baltic”. AMBIO: A Journal of the Human Environment, 36(2):243–249, 2007.
  • [24] O. Oenema. “Governmental policies and measures regulating nitrogen and phosphorus from animal manure in European agriculture”. Journal of Animal Science, 2004.

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