SUSTAINABLE DEVELOPMENT AND ENGINEERING ECONOMICS 2, 2024
Research article
DOI: https://doi.org/10.48554/SDEE.2024.2.2
Agro-Industrial Complex Sustainability in the Eurasian Economic Union
Countries: The Aspect of Food Security
Eduard Ghazaryan1*
, Ilona Aleksanyan2
Center for Agrarian Science, Education and Innovation, Yerevan, Republic of Armenia,
2
Brusov State University, Yerevan, Republic of Armenia, [email protected]
*
Corresponding author: [email protected]
1
T
Abstract
his article analyses the sustainability of the agro-industrial complex (AIC) in the Eurasian Economic
Union (EAEU) countries with an emphasis on food security. The study covers challenges and
threats to food security in Russia, Belarus, Armenia, Kazakhstan, and Kyrgyzstan, given the
difficult geopolitical situation. The article examines data from the national statistical services of the EAEU
countries, as well as international sources such as the FAO and the World Bank. Correlation and cluster
analysis approaches are applied to assess the impact of socioeconomic indicators on the sustainability of
the AIC. Significant correlations between indicators of food security and such factors as the volume of
agricultural production, investments in the agricultural sector, the level of technological development,
and government support are revealed. On average, for the period from 2015 to 2022, the added value
of agriculture amounted to 8.2% of GDP, and the food production index was 104.1. The results of the
cluster analysis showed that the EAEU countries can be grouped by levels of agricultural development
and food security. Thus, K-means and GMM identified three clusters in which Russia found itself both
in a separate cluster and in combination with other countries. Agglomerative and spectral clustering also
showed similar results, distinguishing three main groups of countries. The average silhouette coefficient
for agglomerative and spectral clustering was 0.41, which indicates a better clustering quality compared
to K-means and GMM (0.38). It is confirmed that integration and coordination of efforts within the
EAEU, as well as diversification of agricultural production and increased investment in innovation,
determine the state of sustainability of the agro-industrial complex.
Keywords: agro-industrial complex sustainability, food security, EAEU, agriculture, cluster analysis, correlation
analysis, agricultural sector investments, production diversification
Citation: Ghazaryan, E., Aleksanyan, I., 2024. Agro-Industrial Complex Sustainability in the Eurasian Economic
Union Countries: The Aspect of Food Security. Sustainable Development and Engineering Economics 2, 2.
https://doi.org/10.48554/SDEE.2024.2.2
This work is licensed under a CC BY-NC 4.0
© Ghazaryan, E., Aleksanyan, I., 2024. Published by Peter the Great St. Petersburg Polytechnic University
25
Enterprises and sustainable development of regions
SUSTAINABLE DEVELOPMENT AND ENGINEERING ECONOMICS 2, 2024
Научная статья
УДК 338.43
DOI: https://doi.org/10.48554/SDEE.2024.2.2
Устойчивость Агропромышленного Комплекса в Странах Евразийского
Экономического Союза: Аспект Продовольственной Безопасности
Эдуард Казарян1*
, Илона Алексанян2
Центр аграрной науки, образования и инноваций, Ереван, Республика Армения,
2
Государственный университет имени В.Я. Брюсова, Ереван, Республика Армения,
*
Автор, ответственный за переписку: [email protected]
1
Н
Аннотация
астоящая статья анализирует устойчивость АПК в странах ЕАЭС с акцентом на
продовольственную безопасность. Исследование охватывает вызовы и угрозы
продовольственной безопасности в России, Беларуси, Армении, Казахстане и
Кыргызстане, учитывая непростую геополитическую ситуацию. В статье рассматриваются
данные национальных статистических служб стран ЕАЭС, а также международные источники,
такие как ФАО и Всемирный банк. Применены методы корреляционного и кластерного анализа
для оценки влияния социально-экономических показателей на устойчивость АПК. Выявлены
значимые корреляции между показателями продовольственной безопасности и такими факторами,
как объем сельскохозяйственного производства, инвестиции в аграрный сектор, уровень
технологического развития и государственной поддержки. В среднем за период с 2015 по 2022
годы добавленная стоимость сельского хозяйства составила 8.2% от ВВП, а индекс производства
продуктов питания составил 104.1. Результаты кластерного анализа показали, что страны ЕАЭС
могут быть сгруппированы по уровням развития АПК и продовольственной безопасности. Так,
KMeans и GMM выделили три кластера, в которых Россия оказалась как в отдельном кластере,
так и в комбинации с другими странами. Агломеративная и спектральная кластеризация
также показали схожие результаты, выделяя три основные группы стран. Средний силуэтный
коэффициент для агломеративной и спектральной кластеризации составил 0.41, что указывает
на лучшее качество кластеризации по сравнению с KMeans и GMM (0.38). Подтверждено,
что интеграция и координация усилий в рамках ЕАЭС, а также диверсификация аграрного
производства и увеличение инвестиций в инновации определяют состояние устойчивости АПК.
Ключевые слова: устойчивость агропромышленного комплекса, продовольственная безопасность,
ЕАЭС, сельское хозяйство, кластерный анализ, корреляционный анализ, инвестиции в аграрный сектор,
диверсификация производства
Цитирование: Казарян, Э., Алексанян, И., 2024. Устойчивость Агропромышленного Комплекса в Странах
Евразийского Экономического Союза: Аспект Продовольственной Безопасности. Sustainable Development
and Engineering Economics 2, 2. https://doi.org/10.48554/SDEE.2024.2.2
Эта работа распространяется под лицензией CC BY-NC 4.0
© Казарян, Э., Алексанян, И., 2024. Издатель: Санкт-Петербургский политехнический университет Петра
Великого
Предприятия и устойчивое развитие регионов
26
Agro-industrial complex sustainability in the Eurasian Economic Union countries: the aspect of food security
1. Introduction
The sustainability of the agro-industrial complex (AIC) in the context of global transformations
and geopolitical challenges plays a key role in ensuring food security in the countries of the Eurasian
Economic Union (EAEU). Food security directly affects the social and economic well-being of the population. In the current situation, the issues of agribusiness sustainability and food security are becoming
increasingly relevant for the EAEU countries. Thus, ensuring the sustainability of the AIC in Russia,
Belarus, Armenia, Kazakhstan, and Kyrgyzstan is becoming critical.
The EAEU’s growth points lie in the area of integration and joint projects. An analysis of the integration of agricultural and food markets in the context of food security of the EAEU shows that increasing production volumes and strengthening trade ties contribute to increasing the level of self-sufficiency
in key food products at the macro level for the EAEU states and at the micro level for the population
(Iashina et al., 2023). Developments in breeding, genetics, and agricultural machinery to strengthen food
security will help unlock the potential of the Union, orienting countries to achieve full food independence (Gusev, 2023a; Shoba et al., 2023).
The aim of this study is to analyse the sustainability of the AIC in the EAEU countries and assess
the factors affecting food security in the region. To achieve this goal, the following steps were taken:
1) challenges and threats to food security in the EAEU countries were analysed, 2) the impact of socioeconomic indicators on the sustainability of the AIC was determined, and 3) methods of correlation and
cluster analysis were applied to identify the main trends and patterns.
The object of the study is the AIC of the EAEU countries. The subject of the study is the socioeconomic indicators related to the sustainability of the AIC and food security.
The analysis is based on data from the national statistical services of the EAEU countries, and also
includes information from international organizations such as the FAO and the World Bank. To achieve
these goals, the following methods were used: 1) correlation analysis to determine the relationships between different socioeconomic indicators and 2) cluster analysis to group countries by similar indicators
of food security and agricultural sustainability.
The study contributes to the expansion of theoretical knowledge about the impact of various economic and social factors on the sustainability of the AIC, as well as on the mechanisms of ensuring food
security in multinational associations. The results of this work can be used to formulate strategies aimed
at strengthening food security and agribusiness sustainability in the EAEU countries, which is especially
important for developing measures to respond to challenges associated with geopolitical transformations.
2. Materials and Methods
2.1. Review of Agribusiness Sustainability and Food Security Issues in the EAEU Countries
The study of agricultural sustainability and food security in the EAEU countries relies on a wide
range of scientific and analytical sources, including international publications, reports of national statistical services, and data from organizations.
Food security concepts include an analysis of the economic and physical availability of food, as
well as the dependence of the domestic market on imports. The current food security criteria are formally met for most food products, but there is still a problem of insufficient economic availability of
food in the required volumes and assortment for a significant part of the population. The main part of
agricultural raw materials and food imports is supplied from the EAEU partner countries, which reduces
the risks of external shocks in the supply of agri-food products and creates prerequisites for softening
the targets of the food security concept in the EAEU countries with respect to minimum levels of food
self-sufficiency (Polzikov, 2020). At the same time, the development of integration processes and joint
projects within the EAEU contributes to strengthening food security and reducing dependence on exter27
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nal supplies. Thus, increasing production volumes and strengthening trade ties within the EAEU contribute to increasing the level of self-sufficiency in key food products. A number of areas can be identified
for maintaining the sustainability of the agro-industrial complex in the EAEU countries (Table 1).
Table 1. Directions of agribusiness sustainability in the EAEU countries
Country
Armenia
Agribusiness sustainability direction
• Development of agricultural technologies
• Improvement of water supply and irrigation systems
Belarus
• Support to rural farms and territories
• Increase in agricultural productivity (return-on effect)
• Reduction of waste in production
Kazakhstan
• State support for agricultural producers
• Innovations in agriculture
• Development of agricultural infrastructure
Kyrgyzstan
• Reducing dependence on imports (agro-import substitution)
• Support for small agricultural producers
• Improvement systems of the agricultural education system
Russia
• Development of organic agriculture
• Technological modernization of the AIC
• Development of agro-industrial clusters
• Sustainable use of land resources
The desire for economic integration was a central aspect of politics in the post-Soviet space. As
a result of several initiatives, a real achievement was the establishment of the Customs Union between
Belarus, Kazakhstan, and Russia in 2010, which served as a prerequisite for the launch of the Single Economic Space in 2012. This led to the formation of the EAEU in 2015, which also included Armenia and
Kyrgyzstan. The main goal of the EAEU is economic integration, which provides for the liberalization of
mutual trade in goods and the development of a common market through the harmonization of internal
regulatory requirements and the elimination of other non-tariff barriers. This ambitious project has a significant and fundamental impact on the economy of the participating countries, affecting the production
and trade of food products (Götz et al., 2022; Iashina et al., 2023).
The formation of a sustainable food security system is a priority task for the EAEU member states.
However, researchers note the need to form mechanisms for ensuring food security at the supranational
level with the provision of certain guarantees to the EAEU countries (Kamalyan, 2022; Kusainova et
al., 2020). In the context of economic sanctions imposed by the United States and the EU on Russia, the
issue of ensuring food security is also relevant for other EAEU countries. The EAEU countries mainly
export crop products, while they import livestock products. In this regard, it is necessary to find an effective solution to the problem of ensuring the food security of the EAEU and reducing import dependence,
which will require improving the adopted coordinated agricultural policy in a number of areas. In this
context, it is proposed to analyse retrospective trends and scenario forecasts of consumption and production of agricultural raw materials and food in the EAEU countries, which will help identify factors that
contribute to and prevent the aggravation of contradictions in mutual trade in agricultural products in the
future (Glotova, 2014; Ksenofontov et al., 2020).
Maintaining sustainability is closely linked to the use of the resource potential of territories, which
can create certain problems in conditions of economic instability. Therefore, it is necessary to analyse
available resources and develop strategies aimed at their effective use and adaptation to changes in the
external environment (Sorokozherdyev et al., 2023). The development of agriculture in the context of
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Agro-industrial complex sustainability in the Eurasian Economic Union countries: the aspect of food security
global economic instability requires a flexible approach, including the introduction of innovative technologies and adaptive management methods. In practice, the stability and productivity of the agricultural
sector depends on the environment and government policy. To do this, state structures in the EAEU
countries should focus investment projects on increasing the return on available resources in order to
maximize the return on investment in the AIC, contributing to improving food security (Trofimova et al.,
2020; Zhiltsov et al., 2022). Table 2 shows the main guidelines for ensuring food security in the EAEU
countries.
Table 2. Directions of food security in the EAEU countries
Country
Armenia
Belarus
Kazakhstan
Kyrgyzstan
Russia
Food security in the destination country
• Ensuring the availability of food for the population
• Improving the quality of food
• Diversification of agricultural production
• Increased exports of food and agricultural products
• Provision of strategic food supplies
• Support for local production
• Increasing self-sufficiency in key food products
• Fight against food losses in agricultural production
• Import substitution in agricultural sectors
• Improve product safety standards and improve quality control
Conceptual and practical challenges related to the development of sustainable food systems include the development of an ontology of the food system, which implies the systematization and categorization of the main relationships. In this context, there is a need to integrate sustainable and adaptive
strategies to improve food security, and the importance of a holistic approach to food security increases
(Zhiltsov et al., 2022). Under conditions of uncertainty, many areas are characterized by significant
changes. For example, due to the transformation of economic and political factors, the tourism sector
is being transformed, which activates the development of specific areas of agribusiness as well as the
development of renewable energy sources, contributing to improving energy security in the context of
ensuring the stability of the economic systems of territories (Ergunova and Simagina, 2023; Van Wassenaer et al., 2021). It is worth noting that the EAEU countries are activating the innovative development
of various economic spheres, which directly affects the state of economic security. A comprehensive
assessment of the region’s economic security and innovation component involves analysing the region’s
potential to introduce innovative technologies (Zaytsev et al., 2022).
In order to increase the sustainability of food systems in the EAEU countries, it is necessary
to develop and ensure the implementation of multiphase regional programmes aimed at the structural
transformation of economic policies to achieve food self-sufficiency and the adoption of ‘good’ agricultural practices (Adelaja and George, 2021; Haji and Himpel, 2024). The adoption of food security as a
component of the EAEU agricultural policy and its political priority affect domestic food production and
the interaction of the EAEU with the global agri-food market. The current food policy of the EAEU is
focused on reducing dependence on food imports. The EAEU food policy includes three sub-policies,
each of which is at the protectionist end of the trade strategy spectrum (Dragneva, 2022):
1. A multi-pronged approach to food security, including reducing dependence on imported food,
sustainability of the food system in the traditional sense regarding consumption and nutrition standards,
food safety, product tracking, and label reliability.
2. Food self-sufficiency, which refers to efforts to increase agricultural production to meet domestic needs for basic commodities.
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Ghazaryan, E., Aleksanyan, I.
3. A policy of import substitution, which involves replacing imported goods with domestic ones
(where possible), which can lead to an increase in food prices as imported goods are replaced by domestic ones.
Methodological aspects of developing the concept of collective food security in the EAEU countries are of paramount importance, since the development of such concepts requires taking into account
the diversity of socioeconomic conditions and the level of development of the AIC. For these purposes,
there is a need to apply advanced analytical and predictive methods (Ksenofontov and Polzikov, 2020).
It should be borne in mind that the rent approach to the geo-economic integration of the national economy allows taking into account the specific advantages and resources of each member state of the union,
optimizing their use within the common economic space. This approach contributes to a more efficient
allocation of resources and increases the competitiveness of the AIC of the EAEU countries (Dmitriev
and Zaytsev, 2019, 2020).
Problems of hunger and malnutrition remain acute all over the world, leading to diseases and mental retardation in children. About 1 billion people are malnourished and 1.5 billion are obese. It takes 10
to 30 years of dedicated work to address these challenges, but climate change and population growth may
affect these forecasts.1,2 It is important for the EAEU countries to develop international cooperation and
trade in safe products, especially to address the problems caused by drought and other climate changes.
Agriculture and agribusiness remain significant sectors of the economy of the EAEU member
states and have significant potential for providing food to the domestic market and for the sustainable
development of territories. The EAEU AIC demonstrates positive dynamics, and domestic production
largely meets the needs of the population. However, it remains dependent on imported fruits and berries,
which requires further development of its own production. The main problems include a dependence on
imported genetic resources, the development of feed, and the manufacture of plant protection products,
and these areas require improvements in the coordinated agricultural policy of the EAEU. Table 3 presents the main challenges for the sustainability of the agro-industrial complex and food security in the
EAEU countries.
Table 3. Main challenges for agribusiness sustainability and food security in the EAEU countries
Country
Armenia
Belarus
Kazakhstan
Kyrgyzstan
Russia
Main challenges
• Limited water resources
• Small size of agricultural land
• Dependence on imported agricultural machinery
• Lack of population to expand agricultural production
• Low soil fertility
• Shortage of skilled labour
• High level of food addiction
• Insufficient agro-infrastructure
• Destruction of agricultural land
• Difficult climatic conditions in a large part of the country
For example, agriculture occupies a significant place in the Armenian economy, accounting for
an average of 19% of the country’s GDP in the period from 2010 to 2015. The main problems include
unfavourable natural and climatic conditions and a dependence on imported genetic resources and agricultural machinery. To solve these problems, state support programmes have been developed aimed at
intensifying and industrializing agriculture, including subsidizing loans and introducing anti-hail nets
(Kazaryan, 2017). The solution to these problems is associated with the activation of the processes of
intensification of innovations and the introduction of innovative technological developments, which is
World Food Programme (WFP) (2022) ‘A global food crisis’. Available at: https://www.wforg/global-hunger-crisis Accessed 15 January 2024.
USDA (2022) ‘USDA Agricultural Projections to 2031’, USDA Long-Term Projections, February. Available at: https://www.usda.gov/ Accessed 15 January 2024.
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Agro-industrial complex sustainability in the Eurasian Economic Union countries: the aspect of food security
largely facilitated by interaction between the EAEU countries. Thus, it can be noted that the use of intellectual capital in agribusiness, the active development of scientific research, and the training of highly
qualified specialists open up broad prospects for the introduction of innovative technologies and improving production efficiency in the EAEU countries. For this purpose, the EAEU countries are intensifying
the improvement of the quality of education and professional training of specialists by introducing modern educational technologies and programmes (Alekseeva and Trofimova, 2017; Ilchenko et al., 2020).
The experience of agricultural industrialization in different countries consists of applying methods
and measures that reduce the share of manual labour and increase the level of mechanization and automation. In developed countries, the growth of agricultural production is ensured by the implementation
of scientific and technological advances, such as precision farming, genomic selection, and innovative
methods of resource management. One of the areas of improving food security in the EAEU countries
is the digitalization of the AIC. The introduction of information technologies and automated production process management systems helps optimize resources, reduce costs, and improve product quality
(Amirova et al., 2021; Sigarev and Narynbaeva, 2015). Researchers note that in order to increase the
sustainability of the AIC and food security in the EAEU countries, it is necessary to actively introduce
modern technologies and state support for the industrialization of agriculture (Oganisyan and Kazaryan,
2020).
The use of innovative technologies contributes not only to the development of the AIC but also
to improving the efficiency of production in food enterprises. In particular, the EAEU countries’ investments in these programmes have led to the introduction of automated quality control and raw material
processing systems. The use of innovative technologies in agriculture (precision farming, biotechnologies, and agricultural drones) increases productivity and resistance to adverse climatic conditions, which
is especially important for countries such as Armenia. Harmonization of standards and the implementation of joint research and development initiatives within the EAEU contribute to the production of
high-quality, competitive agricultural products (Dmitriev, 2020; Dmitriev and Rogozina, 2020; Maslova
et al., 2019).
The problems of developing a unified food policy in the field of logistics integration of the EAEU
countries are related to taking into account the different levels of consumption and trade opportunities
of the population in the participating countries. There is a need to create a balanced food market, given
the imbalances in consumption and the development of logistics supply chains, as well as the high volume of unjustified food imports from third countries. For this purpose, the formation of national import
substitution programmes is being activated, taking into account the supplies of partners in the EAEU.
These areas determine the transformation of sustainability mechanisms and their impact on food security
(Stone and Rahimifard, 2018; Zueva et al., 2016). It should be borne in mind that food markets have
changed significantly, which complicates the relationship between participants in food chains. Such
changes, of course, also affect the markets of the EAEU countries. It is necessary to ensure the identification, assessment, and prevention of factors that negatively affect the competitive environment of food
and agricultural product markets in the EAEU countries (Pilipuk et al., 2022).
The UN forecasts unprecedented food shortages along with rising prices and warns that the global
food market may face serious pressure due to the growing problem of food insecurity. Establishing sufficient food supply for the EAEU countries, while simultaneously reducing dependence on food imports
and reducing the vulnerability of supply, is the basis for improving the level of food security (Arskiy
and Khudzhatov, 2021). For these purposes, it is necessary to develop models for making managerial
decisions in agriculture that can rationalize economic processes based on multidimensional data analysis. For example, it is necessary to step up the penetration of progressive supply chain management into
agribusiness (Lukina et al., 2023; Vakhrusheva et al., 2021). The problem with the logistics system is
that transport services take a disproportionately large share in the total volume of logistics services; the
logistics sphere of some EAEU countries is limited to transportation, warehousing, and distribution. A
comprehensive solution to problems, including training highly qualified specialists and state support for
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Ghazaryan, E., Aleksanyan, I.
infrastructure projects, can improve the situation (Kazaryan et al., 2022).
2.2. Statistical Analysis of Agribusiness in the EAEU Countries
The EAEU was created with the aim of forming a single market that ensures the freedom of
movement of goods, services, capital, and labour within the Union. Initially, the stages of the integration
process were planned until 2025, but in December 2023, the EAEU countries approved a declaration on
the further development of economic processes with planning until 2030 and for the period up to 2045.
Currently, the level of self-sufficiency of the EAEU in food has exceeded 93% (in 2020, this figure was
88%), and over the 10 years of the Union’s existence, agricultural production has increased by more than
a quarter. For statistical analysis, we used the report of the Eurasian Development Bank (Vinokurov et
al., 2023) as well as open access data, in particular data from the national statistical services of the EAEU
countries, as well as international sources such as the FAO and the World Bank.
It should be borne in mind that global agri-food chains and the food trade system have become key
elements for ensuring global food supply and security. The annual increase in the volume and value of
agricultural trade raises questions about the potential threat to food security associated with import dependence and the trade deficit.3 However, in 2023, the production of agricultural products in the EAEU
showed a decline. According to the Eurasian Economic Commission (EEC), total agricultural production in the EAEU countries decreased by 1.1%. At the same time, Belarus and Kyrgyzstan experienced
growth of 1.1% and 0.6%, respectively, while Kazakhstan and Russia experienced a decrease of 7.7%
and 0.3%, respectively.
Food problems primarily affect the population of developing and underdeveloped countries. However, residents of economically developed countries also face increased costs for food and utilities,
which leads to a decrease in their standard of living. According to the EAEU data, the total production
of agricultural products of all categories increased in 2022 (Borodenko, 2023). According to the EEC, in
2023, in farms of all categories of the EAEU countries, the gross grain harvest after refinement amounted to 169.4 million tons, which is 11.1% less than in the previous year. Potato production increased by
5.4% to 30 million tons, while vegetable production decreased by 0.4% to 22.9 million tons. At the same
time, the production of basic livestock products has increased: livestock and poultry for slaughter (in live
weight) by 2.2%, milk by 3%, and eggs by 0.8%.
The EAEU has significant resource advantages. The territories of the participating countries contain 10% of all arable land on the planet and 10% of the world’s fresh water reserves, more than 13%
of the world’s wheat reserves, more than 16% of barley, and significant fertilizer reserves—about 10%
of nitrogen and phosphate fertilizers and more than 40% of potash fertilizers. Russia and Kazakhstan
provide about a third of the world’s sunflower oil production. Trends in Russia’s economic development
demonstrate that the assessment of long-term economic growth rates up to 2035,4 based on alternative
scenarios, shows insufficient effectiveness of regular macroeconomic policy measures to stimulate sustainable economic growth (Gusev, 2023b). At the same time, by the end of the decade, Russia plans to
increase production in the agricultural sector by a quarter and increase exports by one and a half times,
especially cereals, legumes, oilseeds, meat (especially poultry and lamb), fat and oil products, flour, cereals, milk, and confectionery.
The transition to a common agribusiness policy will allow the EAEU countries to jointly increase
profits, avoiding unnecessary competition. Self-sufficiency in food products is an important indicator
for the EAEU. The level of food self-sufficiency varies among the EAEU countries: Belarus (94%) and
Russia (90%) have the highest rates, followed by Kazakhstan (87%), Kyrgyzstan (74%), and Armenia
(67%). Russia fully meets domestic demand for grain, pork, poultry meat, and vegetable oils, exporting
the surplus both to its EAEU partners and to other countries. However, the production of beef, milk, and
certain types of vegetables does not yet cover domestic demand.
Eurasian Economic Commission (2021). Agro-Industrial Complex. Available online at: https://agro.eaeunion.org/Pages/default.aspx Accessed 15 January 2024.
OECD-FAO (2022) ‘OECD-FAO Agricultural Outlook 2022–2031’. Available at: https://www.oecd-ilibrary.org/agriculture-and-food/oecd-fao-agricultural-outlook-2022-2031_
f1b0b29c-en Accessed 15 January 2024.
3
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Agro-industrial complex sustainability in the Eurasian Economic Union countries: the aspect of food security
A prolonged period of high food prices is projected, driven by population growth, high energy
prices, a shortage of skilled labour, increased food consumption in countries, limited opportunities for
agricultural land expansion, and climate change. Reduced availability of food increases its value. Food
is becoming the new ‘black gold’: its political significance and export potential will grow. Under the influence of the pandemic, geopolitical tensions, sanctions, the disruption of supply chains, the fuel crisis,
and rising production costs, including energy and fertilizers, the cost of food has increased significantly.
The Food Price Index (FAO) has increased by 46.5% over the past two years (from 98.1 in 2020 to 143.7
in 2022), remaining above the level of 2021 despite a slight decline in the second half of 2022.
The Eurasian region as a whole ensures its food security. The level of self-sufficiency for most
products exceeds 80–95%, which corresponds to food independence. Figure 1 shows the level of
self-sufficiency of the EAEU countries in the main areas of agricultural production. The highest level of
self-sufficiency is observed for cereals and oilseeds, while the lowest level is observed for fruits.
Figure 1. Level of self-sufficiency of the EAEU countries (%)
The realization of the production and resource potential of the AIC can provide the following
positive effects for the Eurasian countries by 2035. It is noted that the production multipliers for the agricultural sector (USD per dollar of expenditure per sector) will be: 2.62 for Russia, 2.49 for Kyrgyzstan,
2.44 for Belarus, 1.95 for Kazakhstan, and 1.77 for Armenia. Mutual trade between the countries of the
Eurasian region is steadily growing (in 2021 it reached $15.4 billion). The share of mutual exports in the
total volume of exports of agricultural products was 33.6%. Over the past 20 years, the volume of mutual
export supplies of agricultural products has increased 8.5 times. Since the EAEU started functioning in
2015, mutual trade in agricultural products has grown by a factor of 1.8. The largest increase in exports
to the domestic market from 2015 to 2021 was observed in Armenia (3.1 times) and Russia (2.3 times).
The main part of deliveries of agricultural products to the domestic market is accounted for by
Russia, Belarus, and Kazakhstan, whose combined share in mutual exports was 90%. These countries
are key producers of food products and act as guarantors of food security in the region. In the structure
of mutual imports, the main importers are Russia (40.2%) and Kazakhstan (21.9%), with the total share
of Russia, Kazakhstan, and Belarus at 72.4% (Figure 2). Outside the EAEU, Uzbekistan is also a signif33
Sustain. Dev. Eng. Econ. 2024, 2, 2. https://doi.org/10.48554/SDEE.2024.2.2
Ghazaryan, E., Aleksanyan, I.
icant importer (13.4%).
Figure 2. Share of Eurasian countries in mutual trade in agricultural products in 2021 (%)
More than one third of the volume of mutual trade in agricultural products falls into three groups:
dairy products, eggs, and honey (17.9%); cereals (9.4%); and fats and oils (9.2%). The main supplier of
dairy products is Belarus (85.9% in the structure of mutual exports); of cereals, Kazakhstan (67.7%);
and of fats and oils, Russia (70.7%). Exports of such commodity groups as vegetables, fruits, nuts, animal products, fish, and beverages are distributed more evenly between countries.
The Eurasian market is most important for the export of the agricultural products of Belarus (78.8%
in 2021) and Kyrgyzstan (69.1%). Regional imports of agricultural products are most important for Kyrgyzstan (76.1%) and Kazakhstan (66.4%). The largest growth rates of imports from Eurasian countries
are observed in Belarus (a twofold increase). Kazakhstan accounted for 43.2% and Belarus for 28.4% of
Russian exports of agricultural products in 2021. Russia is the main supplier of agricultural products to
Belarus (97.6%), Armenia (93.6%), Kazakhstan (81.6%), and Kyrgyzstan (52.4%).
2.3. Review of the Methodological Framework of the Study
Food security diagnostic tools include methods for assessing the availability and quality of food
resources, as well as monitoring their distribution and use. To build strategies and practice-oriented
models, the state of the territory’s resource potential should also be taken into account (Zaytsev et al.,
2024). For example, the model of economic and statistical assessment of food security is used to analyse
and predict the state of food security at the regional and national levels, which allows us to take into account various socioeconomic factors affecting the availability and quality of food and develop measures
to improve food security (Antamoshkina, 2019a, 2019b).
Determinants of food self-sufficiency include the level of domestic production, the efficiency of
agricultural technologies, and the volume of imports. Food security is determined by a country’s ability
to meet the population’s needs for basic foodstuffs, ensuring their availability and quality in the long
term (Galiev and Ahrens, 2021). Within the framework of this study analysing the sustainability of the
AIC and food security in the EAEU countries, the following methodological tools are used:
1. Correlation analysis is used to determine the relationships between socioeconomic indicators.
This method allows us to identify which factors (for example, the volume of agricultural production,
investment in the agricultural sector, the level of technological development, and state support) affect
Sustain. Dev. Eng. Econ. 2024, 2, 2. https://doi.org/10.48554/SDEE.2024.2.2
34
Agro-industrial complex sustainability in the Eurasian Economic Union countries: the aspect of food security
food security. The analysis is based on data provided by the national statistical services of the EAEU
countries, as well as international organizations such as the FAO and the World Bank.
2. To group the EAEU countries by the level of agribusiness development and food security,
cluster analysis methods are used, including K-means, Gaussian mixtures (GMM), and agglomerative
and spectral clustering. These methods allow us to identify clusters in which countries are distributed
depending on the similarity of their indicators.
3. Results and Discussion
3.1. Data Collection for the Analysis of Agro-Industrial Complex Sustainability in the
EAEU Countries
The study collected and analysed data that will help assess the sustainability of the AIC and food
security in the EAEU countries. The following is a description of the key indicators and their significance for the study (Table 4).
Table 4. Data for analysis of agricultural sustainability in the EAEU countries
Designation
Indicator
GDP_Nominal
GDP (nominal, USD)
GDP_PPP
GDP (PPP, USD)
Agriculture_Value_Added
Agricultural_
Land
Crop_Production_Index
Food_Production_Index
Cereal_Yield
Agriculture, value added (% of GDP)
Agricultural land (% of total land
area)
Crop Production Index (2004–2006 =
100)
Food Production Index (2004–2006
= 100)
Grain yield (kg per hectare)
Total_Population
Total population
Mortality_Rate_
Under_5
Under-5 mortality rate (per 1000 live
births)
CO2_Emissions
CO2 emissions (kilotons)
Renewable_Internal_Freshwater
depth_of_Food_
Deficiency
Industry_Value_Added
Access_to_Safely_Managed_
Drinking_Water
Fertilizer_Consumption
Agricultural_
Land_SqKm
35
Description
Assessment of the economic state of countries and opportunities to invest in the AIC.
Takes into account the purchasing power
of the currency.
The contribution of agriculture to the
economy and its significance for GDP.
Share of land used for agriculture.
Dynamics of agricultural production.
Food production volume and its changes.
Efficiency of agricultural land use.
Indicators per capita and scale of food
security.
Standard of living and health of the population.
Environmental impact of the AIC and its
impact on the climate.
Domestic renewable freshwater resources (cubic meters per capita)
Availability of water resources for agriculture.
Depth of food deficit (kcal per person
per day)
The level of malnutrition.
Industry, value added (% of GDP)
The role of industry in the economy and
interaction with agriculture.
Access to safe drinking water (% of
population)
Standard of living and food security.
Fertilizer consumption (kg per hectare
The level of agricultural intensification.
of arable land)
Agricultural land (sq km)
Volume of land for agriculture.
Sustain. Dev. Eng. Econ. 2024, 2, 2. https://doi.org/10.48554/SDEE.2024.2.2
Ghazaryan, E., Aleksanyan, I.
Arable_Land_
Per_Person
Arable_Land_
Percentage
Methane_Emissions
Livestock_Production_Index
Arable land (hectares per person)
Availability of arable land per capita.
Arable land (% of land area)
Percentage of land suitable for ploughing.
Methane emissions (cT of CO2 equivEnvironmental impact of the AIC.
alent)
Livestock Production Index (2004–
Level and dynamics of livestock produc2006 = 100)
tion.
3.2. Descriptive Statistics for the Analysis Indicators of Agricultural Sustainability in the
EAEU Countries
Indicators collected for the period from 2015 to 2022 were used to analyse the sustainability of the
AIC in the EAEU countries. Table 5 shows the main results of descriptive statistics.
Table 5. Descriptive statistics of data for the analysis of agribusiness sustainability in the EAEU
countries
Indicator
Mean
GDP_Nominal
380.96
billion
1063.38
billion
Standard
deviation
654.29
billion
1796.98
billion
8.20
GDP_PPP
Agriculture_
Value_Added
Agricultural_Land
Crop_Production_Index
Food_Production_Index
Cereal_Yield
Total_Population
Mortality_Rate_Under_5
CO2_Emissions
Renewable_
Internal_
Freshwater
Depth_of_
Food_Deficit
Industry_
Value_Added
Access_to_
Safely_Managed_Drinking_Water
Minimum
25th
percentile
60.70
billion
199.55
billion
75th
percentile
187.57
billion
586.94
billion
6.68 billion
11.54 billion
25.09 billion
39.03 billion
4.12
3.39
4.50
6.85
11.56
17.22
49.53
22.28
13.16
41.06
54.07
58.90
80.11
100.94
14.91
68.53
92.49
103.71
110.10
Writing
133.67
104.07
10.58
81.27
99.67
104.96
110.76
127.76
2516.57
36.27 million
794.50
54.94 million
1048.80
1903.98
2718.70
9.43 million
3111.18
18.82 million
3690.20
144.50 million
10.29
5.62
2.60
5.33
10.25
13.28
22.20
138446.90
236404.50
2319.92
4507.13
17030.29
69929.67
620983.16
9451.83
10556.78
2382.76
3487.09
3612.91
8009.83
29929.24
2.99
1.03
2.50
2.50
2.50
2.50
5.80
29.49
3.44
22.26
26.50
30.76
32.19
35.27
82.42
7.83
66.93
75.99
82.79
89.33
93.10
2.78 million 6.17 million
Sustain. Dev. Eng. Econ. 2024, 2, 2. https://doi.org/10.48554/SDEE.2024.2.2
Median
Maximum
2240.42
billion
5987.86
billion
36
Agro-industrial complex sustainability in the Eurasian Economic Union countries: the aspect of food security
Fertilizer_
Consumption
Agricultural_
Land_SqKm
Arable_
Land_Per_
Person
Arable_
Land_Percentage
Methane_
Emissions
Livestock_
Production_
Index
83.87
91.58
902492.57
2.92
11.55
22.65
162.78
330.49
1036836.04 16748.20
83340.00
103708.00 2154940.00 2162597.00
3.17
4.69
0.04
1.29
5.68
29.66
121.65
13.75
7.91
6.68
7.43
10.98
15.67
28.21
138446.90
236404.50
2319.92
4507.13
17030.29
69929.67
620983.16
107.71
6.57
99.90
102.28
106.24
111.15
124.81
Based on the above data, we can draw the following conclusions:
- The average nominal GDP is 380.96 billion USD with a high variation (standard deviation 654.29
billion USD), which indicates significant differences in the economic state of the EAEU countries.
- The average added value of agriculture is 8.20% of GDP.
- The average yield of grain crops is 2516.57 kg per hectare.
- The average share of agricultural land in the total area is 49.53%.
- CO2 and methane emissions show a significant environmental impact of the AIC.
- The depth of nutrition deficit is on average 2.99 kcal per person per day, which indicates that
there are problems with the availability of adequate nutrition.
- On average, 82.42% of the population has access to safe drinking water.
3.3. Economic and Social Determinants of Food Security
Correlation analysis based on socioeconomic indicators allows us to identify the main determinants that affect the sustainability of the AIC and, consequently, food security in the region. In the matrix
shown in Figure 3, dark green cells indicate strong positive correlations, and light green cells indicate
weak positive or negative correlations (correlations with values from -0.3 to 0.3 are excluded).
Figure 3. Correlation matrix of significant indicators for the analysis of agribusiness sustainability in
the EAEU countries
Sustain. Dev. Eng. Econ. 2024, 2, 2. https://doi.org/10.48554/SDEE.2024.2.2
37
Ghazaryan, E., Aleksanyan, I.
The legend of indicators: K1 = GDP_Nominal; K2 = GDP_PPP; K3 = Agriculture_Value_Added; K4 = Agricultural_Land; K5 = Crop_Production_Index; K6 = Food_Production_Index; K7 = Cereal_Yield; K8 = Total_Population; K9 = Mortality_Rate_Under_5; K10 = CO2_Emissions; K11 =
Renewable_Internal_Freshwater; K12 = Depth_of_Food_Deficit; K13 = Industry_Value_Added; K14
= Access_to_Safely_Managed_Drinking_Water; K15 = Fertilizer_Consumption; K16 = Agricultural_Land_SqKm; K17 = Arable_Land_Per_Person; K18 = Arable_Land_Percentage; K19 = Methane_
Emissions; K20 = Livestock_Production_Index.
Economic indicators (K1 and K2):
Nominal GDP (K1) and GDP at purchasing power parity (K2) strongly correlate with total population (K8) (0.98), CO2 emissions (К10) (0.99), domestic renewable freshwater resources (K11) (0.96),
and methane emissions (K19) (0.99). The results obtained indicate a significant environmental burden
associated with economic growth.
2. Agriculture indicators (K3 and K4):
Agricultural value added (K3) has a negative correlation with nominal GDP (K1) (-0.60) and GDP
by PPP (K2) (-0.60). The results obtained indicate that the share of agriculture in the economy decreases
with the growth of total GDP.
Agricultural land (K4) is negatively correlated with nominal GDP (K1) (-0.78) and PPP GDP
(KK2) (-0.77). The results obtained emphasize the need to improve the efficiency of agricultural land
use.
3. Production indicators (K5 and K6):
The crop production index (K5) positively correlates with the food production index (K6) (0.97).
The results obtained indicate the synchronous development of these two indicators, which is important
for ensuring food security.
Grain yields (K7) have a significant negative correlation with agricultural land (K4) (-0.58). The
results obtained indicate the need to optimize the use of land to increase productivity.
Social and environmental indicators (K9 and K10):
The under-5 mortality rate (K9) has a negative correlation with nominal GDP (K1) (-0.40) and PPP
GDP (K2) (-0.41). The results obtained indicate that children’s health improves as the economy grows.
CO2 (K10) and methane (K19) emissions show high positive correlations with economic indicators, highlighting the environmental impact of agriculture.
Industrial indicators (K13):
Industrial value added (K13) is negatively correlated with agricultural value added (K3) (-0.82).
The results obtained indicate their opposite directions of development in the economy.
The correlation matrix emphasizes the importance of an integrated approach to the development of
the AIC and ensuring food security in the EAEU countries. Economic development is linked to environmental and social aspects, which requires the integration of new practices and innovative technologies
in agriculture. Positive correlations between production indicators (K5 and K6) indicate the importance
of synchronous development of agricultural production for achieving stability in food security.
3.4. Results of Cluster Analysis of the EAEU Countries
The analysis was performed using several clustering methods, such as K-means, agglomerative
clustering, Gaussian mixture models (GMM), and spectral clustering. Each method used key indicators
to identify groups of countries with similar characteristics.
Sustain. Dev. Eng. Econ. 2024, 2, 2. https://doi.org/10.48554/SDEE.2024.2.2
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Agro-industrial complex sustainability in the Eurasian Economic Union countries: the aspect of food security
The elbow method was used to determine the optimal number of clusters that can best describe the
data. Figure 4 shows that inertia (vertically) decreases sharply as the number of clusters increases from
1 to 3 (horizontally), after which the decrease becomes less noticeable.
Figure 4. Elbow method for determining the optimal number of clusters
3.4.1. K-means Clustering
Cluster 0 includes Russia; cluster 1 consists of Armenia, Belarus, and Kyrgyzstan; and cluster 2
includes Kazakhstan and Russia. Clustering quality metrics for K-means include the silhouette score
(0.38), the Davies–Bouldin score (1.07), and the Calinski–Harabasz score (21.04). The results indicate
moderate clustering quality, with Russia being singled out as a separate cluster or combined with Kazakhstan.
3.4.2. Agglomerative Clustering
Cluster 0 includes Belarus and Kazakhstan; cluster 1 includes Russia; and cluster 2 contains Armenia and Kyrgyzstan. The clustering quality metrics for this method were slightly higher: silhouette
score = 0.41, Davies-Bouldin score = 1.08, and Calinski–Harabasz score = 26.03. The results obtained
indicate that agglomerative clustering can better reflect the data structure, highlighting Russia as a separate cluster.
3.4.3. Gaussian Mixture Models and Spectral Clustering
The clustering method based on Gaussian mixture models (GMM) and spectral clustering showed
similar results to K-means. Both methods also identified three clusters: cluster 0 includes Russia; cluster
1 includes Armenia, Belarus, and Kyrgyzstan; and cluster 2 includes Kazakhstan and Russia. The quality
metrics for these methods are similar: silhouette score = 0.38 and 0.41, Davies–Bouldin score = 1.07 and
1.08, and Calinski–Harabasz score 21.04 and 26.03, respectively. The results highlight the similarity of
the methods and confirm the general trends identified when using K-means.
3.4.4. Generalized results
Cluster analysis methods, such as K-means and Gaussian mixtures (GMM), allowed us to identify
three main clusters of the EAEU countries by levels of agribusiness development and food security. Table 3 shows the results of cluster analysis.
39
Sustain. Dev. Eng. Econ. 2024, 2, 2. https://doi.org/10.48554/SDEE.2024.2.2
Ghazaryan, E., Aleksanyan, I.
Table 3. Results of cluster analysis of the EAEU countries
Method
Silhouette
Score
Davies–Bouldin Score
Calinski–Harabasz Score
K-means
0.38
1.07
21.04
Agglomerative
0.41
1.08
26.03
0.38
1.07
21.04
0.41
1.08
26.03
Gaussian Mixture
Spectral Clustering
Clusters
0: [RU], 1: [AM, BY, KG],
2: [KZ, RU]
0: [BY, KZ], 1: [RU], 2:
[AM, KG]
0: [RU], 1: [AM, BY, KG],
2: [KZ, RU]
0: [AM, KG], 1: [RU], 2:
[BY, KZ]
The results of the cluster analysis confirm that the EAEU countries can be grouped into three main
clusters, which highlights significant differences in the level of agribusiness development and food security. This approach allows for a more accurate orientation in the development of strategies and policies
to strengthen food security and the sustainability of the AIC in the region.
4. Conclusion
The sustainability of the AIC in the EAEU countries is crucial for ensuring food security and solving socioeconomic problems. The study shows that economic indicators, such as nominal GDP and GDP
based on purchasing power parity, are highly correlated with environmental and demographic indicators,
which indicates the interrelated nature of economic growth and environmental impact. For example, the
high correlation with CO2 and methane emissions highlights the need for sustainable agricultural practices to balance economic development and environmental conservation.
During the cluster analysis, three main clusters of the EAEU countries were identified, depending
on the level of their agricultural development and food security. Methods such as K-means, agglomerative clustering, Gaussian mixture models (GMM), and spectral clustering have consistently identified
similar groupings, demonstrating that Russia often stands out either separately or in combination with
Kazakhstan. Quality indicators such as the silhouette score and the Davis–Bouldin score indicate moderate-to-good clustering performance, highlighting the distinctiveness of these groupings and their importance for policy development.
In conclusion, the analysis emphasizes the importance of an integrated approach to the development of the AIC and ensuring food security in the EAEU. Economic growth must be combined with environmental mitigation strategies, and targeted investments in agricultural technology and infrastructure
are also needed. Cooperation and integration within the EAEU can improve food security, reduce dependence on imports, and promote sustainable agricultural practices. The results obtained lay the foundation
for strategic planning and policy development aimed at achieving long-term stability and resilience in
the agro-industrial sector of the Eurasian region.
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Pilipuk, A.V., et al. (2022) Problems and Prospects for the Development of Competition in the Food and Agricultural Markets of the EAEU in the
Context of Digitalization and the Influence of Global Trends. Part 2: Proposals for the Development of Competition in Food Markets
within the EAEU. Minsk: Institute of Systemic Studies in Agro-Industrial Complex of the National Academy of Sciences of Belarus.
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Stone, J. and Rahimifard, S. (2018) ‘Resilience in agri-food supply chains: a critical analysis of the literature and synthesis of a novel framework’,
Supply Chain Management, 23(3), pp. 207-238. doi: 10.1108/SCM-06-2017-0201.
Trofimova, N.N., Chichenkov, I.I., Domaratskaya, E.A. (2020) ‘Development of agriculture in conditions of economic instability’, Modern
Economy Success, 6, pp. 260-266.
Vakhrusheva, E.N., Chichenkov, I.I. and Kubarsky, A.V. (2021) ‘Building a model for managerial decision-making in agriculture’, Epomen, 52,
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van Wassenaer, L., Oosterkamp, E., van Asseldonk, M. et al. (2021) ‘Food system resilience: ontology development and impossible trinities’,
Agric & Food Secur, 10, p. 38. doi: 10.1186/s40066-021-00332-7.
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Ghazaryan, E., Aleksanyan, I.
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10.1088/1755-1315/1111/1/012080.
Zaytsev, A., Pak, Kh.S., Elkina, O., Tarasova, T., Dmitriev, N. (2021) ‘Economic security and innovative component of a region: a comprehensive
assessment’, Sustainable Development and Engineering Economics, 2, pp. 58-78.
Zaytsev, A.A., Dmitriev, N.D. and Rodionov, D.G. (2024) ‘Tools for diagnosing food security as part of its resource potential’, International
Agricultural Journal, 2(398), pp. 144-148. doi: 10.55186/25876740_2024_67_2_144.
Zhiltsov, S.A., Afanasyev, A.A., Melekhina, P.Yu. (2022) ‘Methodology for the implementation of social and state-significant investment projects’, Management Accounting, 8-2, pp. 185-195.
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10.1088/1755-1315/1111/1/012080.
Zaytsev, A., Pak, Kh.S., Elkina, O., Tarasova, T., Dmitriev, N. (2021) ‘Economic security and innovative component of a region: a comprehensive assessment’, Sustainable Development and Engineering Economics, 2, pp. 58-78.
Zaytsev, A.A., Dmitriev, N.D. and Rodionov, D.G. (2024) ‘Tools for diagnosing food security as part of its resource potential’, International
Agricultural Journal, 2(398), pp. 144-148. doi: 10.55186/25876740_2024_67_2_144.
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projects’, Management Accounting, 8-2, pp. 185-195.
Zueva, O.N., Donskova, L.A., Nabokov, V.I., Potehin, N.A., Nekrasov, K.V. (2016) ‘Food policy of the Eurasian Economic Union in the
conditions of logistical integration’, AVU, 11(153), pp. 92-98.
The article was submitted 05.05.2024, approved after reviewing 24.05.2024, accepted for publication 28.05.2024.
Статья поступила в редакцию 05.05.2024, одобрена после рецензирования 24.05.2024, принята к
публикации 28.05.2024.
About authors:
1. Eduard Ghazaryan, Doctor of Economics, professor, Center for Agrarian Science, Education and Innovation,
Yerevan, Republic of Armenia. https://orcid.org/0000-0002-4713-3367, [email protected]
2. Ilona Aleksanyan, Candidate of Economic Sciences, Associate Professor, Brusov State University, Yerevan,
Republic of Armenia. https://orcid.org/0000-0002-2325-4092, [email protected]
Информация об авторах:
1. Эдуард Казарян, д.э.н., профессор, Центр аграрной науки, образования и инноваций, Ереван, Республика
Армения. https://orcid.org/0000-0002-4713-3367, [email protected]
2. Илона Алексанян, к.э.н., доцент, Государственный университет имени В.Я. Брюсова, Ереван, Республика
Армения. https://orcid.org/0000-0002-2325-4092, [email protected]
43
Sustain. Dev. Eng. Econ. 2024, 2, 2. https://doi.org/10.48554/SDEE.2024.2.2