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Article

Exploring the Relationship Between Cultivated Land Regulations, Agricultural Productivity, and Trade Efficiency: A Comparative Analysis Among China, Russia, and Kyrgyzstan Under the Belt and Road Initiative

College of Management, Gansu Agricultural University, Lanzhou 730070, China
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Author to whom correspondence should be addressed.
Sustainability 2025, 17(10), 4723; https://doi.org/10.3390/su17104723
Submission received: 18 December 2024 / Revised: 2 May 2025 / Accepted: 15 May 2025 / Published: 21 May 2025

Abstract

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Ensuring food security and sustainable land management is a global priority, particularly within countries participating in the Belt and Road Initiative (BRI). This study investigates the role of cultivated land regulation systems in influencing agricultural productivity and trade efficiency, focusing on China, Russia, and Kyrgyzstan. Despite the critical role of cultivated land, variations in land-regulation policies and regional practices have led to disparate outcomes in agricultural productivity, sustainability, and trade efficiency. A comparative methodology was employed, integrating descriptive statistics, regression modeling, and geospatial analysis to evaluate yield trends, irrigation coverage, land-use efficiency, and trade performance between 2016 and 2022. Data were sourced from government reports, international databases, and satellite imagery. The results indicate that China’s centralized land-regulation policies—such as the Red Line Policy—have stabilized arable land, enhanced average crop yields (6.1 tons/ha in 2022), and significantly expanded agricultural export volumes. In Russia, land consolidation and modernization efforts have improved productivity (2.9 tons/ha in 2022) and export capacities, though limited irrigation remains a challenge. Kyrgyzstan, while showing gradual improvements through cooperative farming, continues to face fragmentation, infrastructure deficiencies, and limited trade growth. The study concludes that harmonized and targeted land-regulation policies—coupled with infrastructure investments and regulatory alignment—are essential to secure productivity, improve trade efficiency, and strengthen agricultural resilience across BRI countries. Strengthened investments in infrastructure, land-tenure security, and policy alignment across BRI countries are recommended to enhance food security and agricultural trade efficiency.

1. Introduction

The Belt and Road Initiative was launched in China in 2013. The initiative is a global development strategy aiming to boost regional connectivity and economic cooperation in Asia, Europe, and Africa. Today, the project includes over 60 countries and aims to revive the trade roads of the ancient Silk Roads. Significant investments by countries in developed infrastructure, such as railways and highways, highly developed ports, and digital networks, means the project influences a broad range of aspects of life in the described territories [1]. Furthermore, lands that are considered by the initiative to be cultivated can also be interpreted as part of the initiative [2]. Regulating and controlling cultivated lands plays a pivotal role as it may ensure food security, protection of arable lands, and overall optimization of all the lands that could be used for agricultural production. Improved cultivated lands guarantee the success of food security; as a result, they also influence the success rate of agricultural trade between the sides of the initiative. At the same time, realizing the importance and stability of land-regulation policies in the interconnected regions would improve trade efficiency on the agricultural market and contribute to the initiative’s main goals by stabilizing and enhancing transnational food systems [3]. To sum up, review of the available literature highlighted a gap in the data connected with the question of how cultivated land regulation impacts food security and agricultural trade. Many articles are focused on the economic or infrastructural aspects of the initiative. Even articles connected with agriculture in altered nations focus on describing the land-regulation systems of those particular countries [4]. At the same time, no comparative analyses were found in the research that would compare the roles and peculiarities of these land-regulation systems regarding food security and trade outputs.
In addition, there is overwhelming evidence of different regulatory frameworks in several countries, including China, Russia, and Kyrgyzstan, and the unique barriers and opportunities they provide are still unexplored [5,6]. There is scarce literature that discusses in detail how these different frameworks can be harmonized and the benefits of food security and trade efficiency [7]. Addressing these gaps in the literature is important because it aids policymakers and stakeholders in having a better understanding of how they can promote agricultural cooperation and develop appropriate strategies within the scope of the BRI [8,9]. Conducting the above research is also important because it will help fill the gap in the literature and offer a comparative analysis of regulatory frameworks on cultivated land in China, Russia, and Kyrgyzstan. The present study has set out several specific objectives to achieve this purpose. First, this study conducts a comparative analysis of the cultivated land-regulation systems in China, Russia, and Kyrgyzstan, focusing on identifying their key differences and similarities. Second, it evaluates the impact of these regulatory frameworks on food security in each of the three countries by examining factors such as land productivity, agricultural output, and sustainability. Third, this study assesses how cultivated land regulations influence agricultural trade efficiency within the BRI, paying attention to trade volumes, market access, and regulatory barriers. Lastly, based on these findings, the study provides policy recommendations for harmonizing land regulations across the BRI countries to enhance food security and trade efficiency.
This study has a number of important implications for policy and practice. In terms of policy, the findings will provide policymakers with an insight into how the harmonization of land regulations can enhance not only food security but also the efficiency of trade. As a result, it will allow for more informed and effective agricultural policymaking within the BRI context. In terms of practice, the study will benefit numerous practitioners, particularly in agriculture and trade, who will learn about the existing regulatory environment for these activities. Furthermore, this research makes an original contribution by offering a rare comparative assessment of cultivated land regulations across three distinct Belt and Road countries—China, Russia, and Kyrgyzstan—integrating statistical, geospatial, and policy-level data. Unlike most prior studies focusing on individual countries or theoretical frameworks, this study uses empirical cross-national data to uncover regulatory patterns and associated outcomes. Also, this study can set the stage for follow-up research and thus aid other academic studies into land regulation, food security, and international trade in the Belt and Road Initiative context by addressing an existing gap in the literature.

2. Literature Review

2.1. Overview of Various Land-Regulation Systems in BRI Countries

Countries along the Belt and Road Initiative (BRI) are diverse, with different systems of land regulation for agricultural land due to their unique socio-economic, political and environmental conditions. The system of cultivated land regulation in China is based on a series of strict government controls, and comprehensive policies are used to protect arable land and increase agricultural productivity. This not only refers to putting the “red line” policy into practice, i.e., setting a limit of the cultivated land area that must be reserved to prevent deficits in food supply [10]; in contrast, land regulation in Russia has seen a vast transformation from the collective farming practices of the Soviet Union towards greater privatization and market-oriented agricultural production. Land consolidation, modernization of agriculture technology, and investment in agriculture are the regulatory frameworks that Russia is making an effort to develop [11].
Traditional and new land-governance practices are seen in the land-regulation systems of Kyrgyzstan with its path-dependent land exercises. Kyrgyzstan, after having been freed from the Soviet Union, introduced land reforms which disbursed land among individual farmers and created a messy agricultural landscape. The present policy environment is designed to promote sustainability, increase land-use efficiency, support smallholders, and ensure farmers adopt sustainable agricultural practices [12]. Differences in these priorities and challenges are reflected in the diversity of land-regulation systems of BRI countries.

2.2. Theoretical Frameworks on Land Regulation

The theoretical basis for different land-regulation systems varies, but it can generally be summarized as institutional economics, property rights theory, and sustainable development approach. Institutional economics, which focuses on the role of institutions in determining economic outcomes, posits that secure land tenure rights, provided through well-defined and enforced land regulations, can increase agricultural productivity and food security [13]. According to land property rights theory, strong land tenure is essential to ensure land use, as it guarantees investment pressure and enhances agricultural productivity. Secure property rights can lower uncertainties and help farmers adopt sustainable and efficient techniques [14].
The concept of sustainable development, as embodied in sustainable development frameworks, includes ecological, social, and economic dimensions and argues for land regulations that will promote long-term agricultural sustainability by combining this broader vision with intervention directed towards the immediate needs of food security. It illustrates, in a different (less mathematical, less transparently logical) way, the essential policy issue of balancing land conservation with its productive use in agriculture [15]. Theoretically, insights from these perspectives are needed to make more accurate analyses, especially for comparative studies to discuss the effectiveness of land-regulation systems implemented in the context of the BRI.

2.3. Definition and Importance of Food Security

Food security, as defined by the Food and Agriculture Organization (FAO), is achieved when all people at all times have physical, social, and economic access to adequate amounts of safe and nutritious food that meet their dietary needs and food preferences for an active and healthy life [16]. Food security is generally measured across four broad dimensions: availability, accessibility, utilization, and stability. Crucial for national and global development, the effect of this on health outcomes, economic stability and social well-being cannot be underestimated.

2.4. Link Between Land Regulation and Food Security

Several studies already underline the profound connection between food security and land regulation. Matters related to food production and supply have received much attention due to the importance of agriculture in food security and demand-driven industrialization [17]; hence, well thought-out land-regulation policies are vital in directing the availability and sustainable utilization of agricultural land. Land-conservation policies, for example, have also been important in ensuring consistent land preservation in China over the last several decades, thus ensuring a relatively stable amount of arable land that has led to the world’s largest population being fed [18]. Still, it remains a concern because the challenges of urbanization and industrialization have always threatened that distinguished arable land and, hence, continuous regulatory adjustments are still sluggishly accruing.
Land reforms aimed at restructuring the agricultural sector have successfully bolstered production in Russia, but long-standing problems associated with land tenure security and investment in rural infrastructure remain a serious obstacle [19]. Kyrgyzstan faces land fragmentation and limited access to resources for smallholder farmers, representing opportunities for supportive land-regulation policies that could increase agricultural productivity and resilience [20].

2.5. Overview of Agricultural Trade Within BRI Countries

Agricultural product trade between BRI countries is one of the most active and important domains of economic cooperation and regional integration within the Belt and Road Initiative framework. Perhaps this is more apparent than in Agriculture trade, where China, one of the principal actors in the BRI, is relevant, trading rice, fruits, and vegetables, but also soybeans, grains, etc., with regard to agriculture producers in both its near and far periphery in BRI countries [21] Russia exports wheat, barley, and sunflower oil, while Ukraine joined the trade with its major suppliers of China, Turkey, or Egypt [22]. Kyrgyzstan also engages in regional trade, specifically in the export of livestock and dairy products [23].

2.6. Influence of Land Regulation on Trade Efficiency

Land-use regulations have critical implications for the efficiency of agricultural trade, as they directly relate to the sector’s productivity, the sustainability of land use, and market accessibility. New land-management methods and technology-driven agriculture have increased production in China, yielding continuous export promotion and trade facilitation [24]. Russia has increased agricultural exports, and land consolidation is a key part of its agricultural strategy, modernizing its farming sector. However, long distances, the sheer size of the country, and the paradoxes of regulatory disparity restrain a continuous land-use policy across its territory [25].
Similarly, regulatory measures are needed to boost trade potential by supporting smallholder farmers and improving land-use efficiency in Kyrgyzstan. Nevertheless, barriers relating primarily to land fragmentation and constraints in accessing markets resourcefully prevent trade, requiring policy reforms for a more effective link to regional and global markets [26]. Insights to better manage land regulation for improving trade efficiency will help policymakers forge agri-trade strategies within the BRI to bring sustainable economic development and food security to the countries in this grand connectivity mission.
This study draws upon prior empirical frameworks associating land-use regulation with agricultural performance and trade efficiency. For instance, Lerman and Shagaida [11] and Djanibekov and Finger [26] provide comparative models for evaluating post-Soviet land reforms and productivity outcomes. Foley et al. [17] and Chen et al. [27] also offer foundational perspectives on the links between policy interventions, resource use, and agricultural output. These works support using variables such as crop yield, irrigation coverage, and infrastructure investment as proxies for evaluating policy outcomes and serve as a reference system for interpreting cross-country differences in our analysis.
The existing literature provides valuable insights into land-regulation practices across the selected countries. In China, studies have highlighted the role of strict regulatory frameworks, such as the Red Line Policy, in stabilizing arable land and enhancing productivity [24,28]. Russian literature focuses on land consolidation and agricultural modernization as critical factors in boosting output and exports [11,29]. Research from Kyrgyzstan emphasizes challenges related to land fragmentation, tenure insecurity, and limited infrastructure, which constrain agricultural development [11,26]. However, comparative studies that integrate these perspectives remain limited. This study fills that gap by systematically evaluating and comparing the impacts of land regulation across these diverse contexts under the Belt and Road Initiative framework.

3. Methodology

This study adopts a structured and rigorous methodology to evaluate the cultivated land regulation systems and their influence on food security and agricultural trade in China, Russia, and Kyrgyzstan. The selection of China, Russia, and Kyrgyzstan was based on their strategic participation in the Belt and Road Initiative (BRI) and their distinct cultivated land-regulation frameworks. China represents a highly centralized regulatory model with strong state control and policy enforcement. Russia exemplifies a transition economy with a market-oriented land reform approach and emphasis on land consolidation. On the other hand, Kyrgyzstan reflects the characteristics of a smaller, agriculture-dependent developing country with a fragmented land system and ongoing efforts toward cooperative farming. This diverse selection allows for a comprehensive comparative analysis of how different regulatory environments influence agricultural productivity and trade efficiency under the BRI framework. Table 1 highlights arable land availability, agricultural labor force participation, dominant soil types, and climatic conditions relevant to farming, providing contextual insight into the structural differences influencing cultivated land regulation and agricultural performance across the three countries.

3.1. Research Design and Approach

This research employs a comparative framework to systematically analyze the regulatory frameworks, food security metrics, and trade efficiencies across the three countries. By identifying both the differences and similarities among their cultivated land-regulation systems, this study reveals insights into their relative effectiveness. A combination of qualitative and quantitative methods underpins the analysis, ensuring depth and accuracy. Comparative analysis involves the examination of land-regulation policies, institutional frameworks, and implementation strategies. In addition to descriptive and inferential statistics, regression modeling was used to examine the relationship between land regulation variables (e.g., crop yield, irrigation coverage) and trade outcomes. Furthermore, geospatial analysis techniques, including land-cover classification and overlay analysis using GIS tools, were applied to monitor land-use changes and assess spatial patterns of agricultural activity across the study period. These methods were chosen for their suitability for analyzing country-level panel data over time and identifying patterns across spatial dimensions. Alternative approaches, such as structural equation modeling or multi-level regression, were considered but not adopted due to data limitations, particularly the lack of harmonized micro-level variables across all three countries.

3.2. Data Sources

The study relies on a diverse array of data sources to ensure a comprehensive analysis. Government reports and policy documents from China, Russia, and Kyrgyzstan provided essential details about land-regulation frameworks and agricultural policies. International databases, including those from the Food and Agriculture Organization (FAO), World Bank, and United Nations, were consulted for data on agricultural production, land use, and trade patterns. Additionally, satellite imagery and geospatial datasets spanning 2016 to 2022 were used to analyze land-cover changes and agricultural activity. The integration of these varied sources bolsters this study’s reliability and scope.

3.3. Statistical Analysis Methods

Descriptive statistics were applied to calculate average crop yields (in tons per hectare) and assess irrigation coverage as a percentage of total cultivated land. Sustainability metrics, including land degradation rates and investments in agricultural infrastructure, were evaluated to measure environmental and economic impacts. Inferential statistics, such as regression analysis, were used to examine the relationships between land-regulation policies and outcomes like productivity and trade volumes. Trend analyses further highlighted significant changes in export volumes and trade efficiencies over time. These methods facilitated a comprehensive evaluation of food security and trade efficiency across the three nations.

3.4. Geospatial Analysis Methods

Geographic Information System (GIS) tools were integral to this study’s examination of land-use changes and agricultural distribution. The land-cover classification was conducted to map cultivated, forest, grassland, and urban areas in each country. Temporal analyses tracked land-use changes from 2016 to 2022, identifying trends in agricultural expansion or degradation. Overlay analyses assessed the alignment of regulatory zones with high-productivity areas, providing insights into the effectiveness of policy implementations. The outputs included detailed land-cover maps and quantitative estimates of land-use efficiency and sustainability, forming a critical component of the study’s findings.

3.5. Parameters and Indicators

The study evaluated several parameters to determine the effectiveness of land-regulation systems. Agricultural productivity indicators included metrics such as crop yield (tons per hectare), percentage of irrigated land, agricultural productivity indices, and land degradation rates. Trade efficiency metrics encompassed export volumes (measured in million tons per year), key trading partners and products, and trade efficiency indices. Regulatory effectiveness was measured through indicators such as land-tenure security, investments in agricultural infrastructure, and the adoption of sustainable agricultural practices. These parameters provided a multidimensional perspective on the regulatory impacts.

4. Case Studies

Agriculture plays a foundational role in the economies of China, Russia, and Kyrgyzstan, albeit in distinct ways shaped by geography, policy, and development trajectories. China’s agricultural sector is characterized by intensive cultivation and high productivity in key regions, supported by strong state regulation and infrastructure. Russia’s agriculture benefits from vast arable lands and modernization efforts yet faces challenges related to climate and regional disparities. In contrast, Kyrgyzstan’s mountainous terrain and reliance on smallholder farming present limitations in scale and efficiency [30,31]. The following case studies build upon this context to explore regulatory frameworks and their impacts in each country.

4.1. Case Study 1: China

4.1.1. Overview of Land-Regulation System in China

China’s cultivated land-regulation system is characterized by centralized control and strict enforcement. Policies such as the Red Line Policy aim to preserve a minimum of 120 million hectares of arable land to ensure food security. Legal frameworks like Land Administration Law mandate sustainable land-use practices. The integration of advanced technology, coupled with substantial government investments, has enhanced productivity while limiting non-agricultural land conversion [32]. The stringent land-regulation policies have contributed to maintaining arable land stability and improving agricultural productivity. Table 2 illustrates the changes in China’s agricultural productivity between 2016 and 2022, focusing on three key indicators: average crop yield, irrigated land percentage, and a composite agricultural productivity index. China’s average crop yield increased from 5.8 tons/ha in 2016 to 6.1 tons/ha in 2022, while the irrigated land percentage remained consistently high at 52%. These metrics underscore the success of sustainable practices and technological advancements in agricultural production [27]. Table 3 compares agricultural regions across China, Russia, and Kyrgyzstan, listing dominant crops, land-use types, and regional land changes from 2016 to 2022. For instance, the Yangtze River Delta excels in rice and wheat production, benefiting from highly irrigated and mechanized farming, while the Northeast region has seen rising productivity in soybeans due to improved mechanization. Table 4 provides an overview of China’s agricultural export performance between 2016 and 2022. It includes annual export volumes, key trading partners, and dominant export commodities. This table supports the analysis of how China’s cultivated land regulations contribute to trade efficiency. China’s cultivated land regulations have bolstered its agricultural trade, with export volumes rising from 55.3 million tons in 2016 to 62.3 million tons in 2022. Key trading partners include the USA, the EU, and Japan, with rice, wheat, and soybeans dominating exports [33].

4.1.2. Land-Cover Changes and Spatial Distribution of Agricultural Activities in China

This analysis of land-cover changes in China from 2016 to 2022 highlights significant trends in land use, with implications for food security and environmental sustainability. Figure 1 compares the distribution of various land-cover types during this period, showing both stability and noticeable changes in key categories. Agricultural land, while still dominant, experienced a slight decline due to the conversion of farmland into built-up areas. This trend is particularly evident in eastern regions, where rapid urbanization has expanded significantly. Despite this, critical agricultural regions such as the North China Plain and the Yangtze River Delta remain central to crop production, contributing to food security. Grassland areas have also decreased, indicating potential degradation or conversion, while forestland has shown a marked increase. This reflects the success of reforestation initiatives like the Green Great Wall program, which aims to combat desertification and promote ecological balance. Other categories, such as barren land, wetlands, and water bodies, have remained largely stable over time, suggesting limited changes in non-productive zones.
Figure 2 provides a spatial representation of China’s diverse land-cover types, emphasizing the concentration of agricultural and ecological activities. Crop-dominated regions are primarily located in the eastern and northeastern parts of the country, including the North China Plain, Northeast China, and the Yangtze River Delta. These areas, characterized by fertile soil and advanced irrigation systems, serve as the backbone of China’s grain and staple crop production. Forested regions are predominantly found in southern and southwestern China, where reforestation efforts and favorable climatic conditions have facilitated forest growth. In contrast, northern and western China feature extensive rangelands and bare ground, particularly in Inner Mongolia and Xinjiang, where desertification remains a challenge. Built-up areas, concentrated around major urban centers in eastern China, have expanded significantly, reflecting economic growth but posing challenges for agricultural land preservation.

4.2. Case Study 2: Russia

4.2.1. Overview of Land-Regulation System in Russia

Russia’s transition from collective farming to a market-oriented system has significantly shaped its land-regulation framework. Policies supporting land consolidation and modernization aim to address inefficiencies associated with fragmented farms. The Land Code of 2001 and the State Program for Agricultural Development prioritize sustainable land use and large-scale farming operations [20]. Russia’s land-regulation policies have led to notable improvements in food security. Table 5 summarizes Russia’s agricultural productivity and food security indicators from 2016 to 2022. It includes crop yields, irrigation coverage, and self-sufficiency rates in staple crops, providing a national-level view of the outcomes linked to Russia’s land-regulation framework. The country’s average crop yield increased from 2.7 tons/ha in 2016 to 2.9 tons/ha in 2022. However, irrigation remains limited, with only 8.2% of cultivated land benefiting from irrigation systems. Table 3 reveals regional disparities in productivity. The Central Federal District leads in wheat and barley production, supported by extensive mechanized farming, while the Volga Federal District is a key area for sunflower and barley production. Table 6 shows the Export volumes, key trading partners, and top agricultural products for Russia from 2016 to 2022. Russia’s agricultural trade has flourished, with export volumes increasing from 34.5 million tons in 2016 to 41 million tons in 2022. Wheat, barley, and sunflower oil dominate exports, with Egypt, Turkey, and China as primary trading partners.

4.2.2. Land-Cover Changes and Spatial Distribution of Agricultural Activities in Russia

Analysis of land-cover changes in Russia from 2016 to 2022 reveals significant patterns in land use and highlights key regions contributing to the country’s agricultural productivity and environmental sustainability. Figure 3 provides a comparative representation of land-cover types over this period, while Figure 4 showcases the spatial distribution of different land-cover categories across Russia’s vast landscape. In Figure 3, agricultural land exhibits slight expansion between 2016 and 2022, particularly in regions such as the Central Federal District and parts of the Volga Federal District, where favorable soil conditions and modern farming practices have enabled increased cultivation. However, grassland areas have declined marginally, suggesting conversion to other land uses or degradation. Forestland remains the most dominant land-cover type, particularly in the northern and eastern regions, where large tracts of natural forest have remained largely intact. Reforestation efforts and conservation programs have also contributed to maintaining this forest cover. Built-up areas, while still small in proportion, have increased in major urban regions, indicating ongoing industrial and infrastructural development.
Figure 4 offers a spatial perspective of land-cover types across Russia, emphasizing the dominance of forested areas (green) across the northern and eastern expanses of the country. Agricultural activities, depicted in yellow, are concentrated in the southern and southwestern regions, including the Central Federal District, Volga Federal District, and parts of the Southern Federal District. These areas form the core of Russia’s agricultural production, focusing on crops such as wheat, barley, and sunflower. The presence of bare ground and rangeland in the central and eastern regions reflects climatic challenges and the limited agricultural potential of these areas. Notably, regions like Siberia and the Far East remain dominated by forests, rangelands, and barren land, underscoring their ecological significance but limited agricultural utility.

4.3. Case Study 3: Kyrgyzstan

4.3.1. Overview of Land-Regulation System in Kyrgyzstan

Kyrgyzstan’s land-regulation system has evolved from state ownership to privatization, leading to fragmented agricultural landscapes. Recent reforms aim to consolidate land and promote cooperative farming, enhancing productivity and sustainability. The 1999 Land Code provides the legal foundation for these initiatives, focusing on land tenure security and sustainable practices. Kyrgyzstan’s fragmented landholdings have historically hindered productivity, but recent reforms show promise. Table 7 tracks changes in Kyrgyzstan’s food security indicators from 2016 to 2022, including average crop yield, irrigation coverage, and self-sufficiency rates. Average crop yields increased from 2.2 tons/ha in 2016 to 2.5 tons/ha in 2022. Cooperative farming practices and targeted investments in irrigation infrastructure have contributed to this progress. Table 3 highlights regional variations. The Chui Valley benefits from irrigated and fragmented farming, while high-altitude regions like Issyk-Kul face challenges related to infrastructure and climate resilience. Kyrgyzstan’s agricultural trade remains modest but steadily improving. Table 8 shows export volumes, key trading partners, and top agricultural products for Kyrgyzstan from 2016 to 2022. Export volumes increased from 0.8 million tons in 2016 to 1.4 million tons in 2022. Fruits, vegetables, and livestock dominate exports, which are primarily traded with Kazakhstan, Russia, and Uzbekistan.

4.3.2. Land-Cover Changes and Spatial Distribution of Agricultural Activities in Kyrgyzstan

Analysis of land-cover changes in Kyrgyzstan between 2016 and 2022 reveals distinct trends in land use, highlighting challenges and opportunities for sustainable agricultural development. Figure 5 compares the distribution of land-cover types over this period, while Figure 6 provides a detailed spatial distribution of key land-cover categories. In Figure 5, agricultural land shows a slight decline between 2016 and 2022, reflecting the impacts of land fragmentation and limited mechanization in Kyrgyzstan’s farming sector. This decline is particularly concerning in areas that were previously fertile and productive. Grassland, which dominates the Kyrgyz landscape, also experienced reductions, possibly due to degradation and overgrazing. In contrast, forestland shows a marginal increase, signaling some success in reforestation initiatives, although these efforts remain localized. Built-up areas have expanded slightly, particularly in urban centers such as Bishkek and Osh, driven by population growth and infrastructure development. Wetlands, water bodies, and barren land have remained relatively stable, reflecting the dominance of natural land types.
Figure 6 offers a spatial perspective on Kyrgyzstan’s land-cover distribution. The map highlights that agricultural activities, shown in yellow, are concentrated in the Chui Valley, Fergana Valley, and parts of Issyk-Kul. These regions benefit from favorable climatic conditions and irrigation infrastructure, supporting the production of wheat, vegetables, and cotton. Forested areas, depicted in green, are scattered across the mountainous regions, primarily in the south and along the Tien Shan Range, where reforestation efforts are ongoing. Bare ground and rangeland dominate much of the central and eastern regions, reflecting limited agricultural potential due to high-altitude conditions and arid climates.

5. Results

5.1. Key Differences and Similarities in Land-Regulation Systems

The cultivated land-regulation systems in China, Russia, and Kyrgyzstan exhibit notable differences and similarities, reflecting their unique historical, political, and economic contexts. In China, the land-regulation system is characterized by stringent government control and centralized planning. Implementation of policies such as the Red Line policy aims to preserve a minimum threshold of arable land to ensure food security. The Chinese government actively implements land-use policies, advocates and adopts sustainable agricultural practices, and invests in agricultural infrastructure. Russia’s land-regulation system has developed from a system of centralized leadership to a system based on more market-oriented management. The first land reforms focused on privatizing agricultural land and dismantling collective farms, which caused land fragmentation. Recent policies have targeted increasing land consolidation and encourage large-scale farming activities to improve output and competitiveness. The Russian government is also focused on sustainable land utilization and the modernization of agriculture under different state programs.
The system of land regulation has changed significantly in Kyrgyzstan since its independence, from state ownership to privatized land distribution. The first reforms resulted in extremely fractionated agricultural structures, with most agrarian lands under the ownership of smallholder farmers. Recent efforts are aimed at further land consolidation, improvements in the land-administration system, and support for cooperative farming toward enhanced productivity and sustainable use. Nevertheless, challenges will continue to exist in the clearing of land tenure and low access to resources. Table 9 offers a cross-country comparison of land-regulation systems, focusing on ownership models, regulatory frameworks, key policies, government roles, and sustainability orientation. This table provides a concise overview of structural differences in governance.
The table illustrates that China maintains strong state control and centralized planning. At the same time, Russia and Kyrgyzstan follow privatized models with differing degrees of regulation—China’s proactive enforcement and sustainability emphasis contrast with Russia’s market-based orientation and Kyrgyzstan’s smallholder-focused policies.

5.2. Food Security Metrics Under Different Land-Regulation Frameworks

In China, Russia, and Kyrgyzstan, the respective systems of land regulation have played a very significant role in forming the existing food security metrics. Primarily, the strict land-use policies and governmental investments in agriculture effectively guarantee the country’s high level of food security via stability in supplies of arable land. The Red Line policy proves particularly effective by prohibiting changes for non-agricultural purposes and maintaining the capacity for food production. Technological advances, coupled with sustainable practices, have further boosted China’s agricultural productivity and food quality.
Table 10 consolidates key indicators of land-use efficiency and sustainability across the three countries. These include crop yield, irrigation rates, degradation levels, infrastructure investment, and adoption of sustainable practices. China leads in all categories, particularly in crop yield (6.1 tons/ha) and infrastructure investment ($22 billion), reflecting the success of centralized policy enforcement. Russia follows with moderate efficiency, while Kyrgyzstan lags due to low investment and high degradation (13.1%). The data support the conclusion that robust infrastructure and policy support are critical for sustainable land management (Table 10).
The significant positive impacts brought to bear on food security by the land-regulation strategies in Russia include consolidation of land and modernization of agricultural practices. These policies will ensure that Russia attains independence in major foodstuffs and becomes the most prominent grain exporter, characterized by higher agricultural productivity. However, there is a broad tendency in this policy toward regional disparities and the marginalization of small farmers as a result of its focus on large farms.
The land reforms in Kyrgyzstan initially resulted in fragmented landholding patterns with, among others, constraints to food security. Smallholder farmers often could not access resources for and conduct modern agricultural practices, which led to low productivity. Recent efforts at consolidating land and promoting cooperative farming hold promise in enhancing food security through farm efficiency and stability. Nevertheless, the country is vulnerable to external drivers like climate change and market fluctuations that are influential in food availability and accessibility.

5.3. Trade Efficiency Under Different Regulatory Approaches

Agricultural trade efficiency in China, Russia, and Kyrgyzstan has developed significantly due to land regulations. In the case of China, since the rules have been too strict on land use with great attention towards sustainability as it has become advanced in the quality and competitiveness of its agricultural products, export value reached a large volume. Conversely, the BRI has promoted increased efficiency and reduced trade barriers with the partner country through improved infrastructure. The same extends to Russia’s land-regulation policies, which have resulted in an improvement in agricultural trade through improved productivity and export capacity. Consolidation of the farmlands and investment in modern farming practices have placed Russia as one of the leading countries in exporting grains, especially wheat. Participation in the Eurasian Economic Union has also ensured the facilitation of trade with neighboring countries, further promoting regional integration and reducing tariffs.
The effects in Kyrgyzstan are mixed. While the country’s strategic location and participation in regional trade agreements provide opportunities for expanding agricultural exports, challenges such as land fragmentation and limited infrastructure have hindered trade efficiency. Recent reforms aimed at land consolidation and improving agricultural practices have the potential to boost export capacity, but maintaining consistent quality and meeting international standards remain critical challenges. Table 11 provides a detailed overview of the trade flows between China, Russia, and Kyrgyzstan, highlighting export volumes, key trading partners, and major agricultural products traded during the period from 2016 to 2020. The data illustrate the strong agricultural trade relationships between these countries, with significant volumes of staple crops and livestock being exchanged. The data highlight the volume and composition of exports between each pair of countries, offering insight into the regional dynamics of agricultural exchange. China emerges as a key exporter to both Russia and Kyrgyzstan, primarily supplying rice, wheat, and soybeans. Russia maintains strong outbound flows to China and Kyrgyzstan, which are dominated by wheat and barley and consistent with its grain surplus and export-oriented policies. In contrast, Kyrgyzstan’s exports are more limited in scale, focusing on fruits, vegetables, and livestock—reflecting its agroecological conditions and production capacity. These trade patterns reflect each country’s comparative advantages and the influence of regulatory, geographic, and market factors on cross-border agricultural flows.

5.4. Statistical Analysis of Agricultural Productivity and Trade Relationships

The regression analysis summarized in Table 12 provides critical insights into the relationship between export volumes and key agricultural productivity indicators, including crop yield, irrigation coverage, infrastructure investment, and productivity index. The regression analysis in this section employs an ordinary least squares (OLS) approach to estimate the relationship between agricultural export volumes (dependent variable) and four key independent variables: crop yield (tons/ha), irrigation coverage (% of cultivated land), infrastructure investment (USD billion), and the agricultural productivity index. These variables were chosen based on theoretical and empirical literature linking productivity and infrastructure to trade performance in agriculture [17]. Data were compiled from international sources (FAO, World Bank) for the period 2016–2022, covering China, Russia, and Kyrgyzstan. The regression analysis was based on a panel of 21 observations covering three countries (China, Russia, and Kyrgyzstan) over seven years (2016–2022). The estimated econometric model is a pooled ordinary least squares (OLS) regression. The results indicate that crop yield has a positive and statistically significant effect on export volumes, with a coefficient of 2.1 (p < 0.05). This suggests that a 1-ton/ha increase in crop yield is associated with an average increase of 2.1 million tons in export volumes. Regions like the Yangtze River Delta in China and the Central Federal District in Russia, where yields exceed 6 tons/ha, significantly drive export efficiency, underlining the importance of yield-enhancing technologies and practices.
Irrigation coverage shows a positive coefficient of 0.15, indicating that a 1% increase in irrigation coverage contributes to a 0.15 million-ton increase in export volumes. Although the effect is moderate, its statistical significance (p < 0.1) highlights the role of irrigation in stabilizing and improving productivity, especially in semi-arid regions. In countries like Russia, where irrigation coverage remains below 10%, targeted investments in water management infrastructure could unlock substantial trade potential.
Infrastructure investment is strongly associated with export volumes, with a coefficient of 1.8 (p < 0.01). This indicates that every additional billion USD invested in agricultural infrastructure results in an average increase of 1.8 million tons in exports. Infrastructure is particularly important in Kyrgyzstan, where limited transport and storage facilities constrain market access. The productivity index also shows a significant positive impact, with a coefficient of 0.5 (p < 0.05). This suggests that a 1-point increase in the productivity index corresponds to a 0.5 million-ton increase in export volumes. High-productivity regions, such as Northeast China and parts of Russia, exemplify the benefits of mechanization and sustainable farming practices.
The regression results confirm that crop yield and infrastructure investment have statistically significant positive effects on export volume (p < 0.05), with infrastructure being particularly influential (coefficient = 1.8). Although irrigation and productivity index were not significant in this model, the trends support their role as enabling factors, especially in resource-limited settings like Kyrgyzstan. These findings reinforce the importance of investment and yield-enhancing policies for trade competitiveness (Table 12). This analysis is subject to several limitations. First, the small sample size (limited to three countries over seven years) restricts statistical power and generalizability. Second, the model does not account for unobserved country-specific factors, such as governance quality or institutional efficiency, that could influence trade. Third, some variables (e.g., irrigation and productivity index) may contain measurement inconsistencies across national databases. Lastly, causality cannot be inferred from this analysis due to the cross-sectional and observational nature of the data.
A comparative assessment of China, Russia, and Kyrgyzstan reveals substantial differences in agricultural performance and regulatory environments, as summarized in Table 12 and illustrated in Figure 7. China exhibits the highest agricultural productivity (6.1 tons/ha) and food availability (approximately 3200 kcal/capita/day), supported by centralized land policies and significant investment in irrigation and infrastructure. Russia, despite its vast arable land and favorable soil (Chernozem), maintains moderate food availability and productivity due to climatic constraints and uneven policy implementation across regions. Kyrgyzstan, in contrast, shows the lowest productivity and food availability levels, primarily due to land fragmentation and limited institutional capacity. The self-sufficiency rate, while relatively high in China and Russia, remains constrained in Kyrgyzstan, reflecting systemic challenges in achieving food resilience. These cross-country differences underscore the importance of aligning land-regulation policies with broader agricultural and infrastructure development strategies to improve overall food system performance.

6. Discussion

The comparative analysis of cultivated land regulations in China, Russia, and Kyrgyzstan reveals significant insights into their impacts on agricultural productivity and agricultural trade. While cultivated land regulation plays a critical role in influencing agricultural productivity and trade outcomes, these outcomes are also shaped by a complex interplay of factors such as infrastructure development, climatic conditions, technological adoption, and market integration. Studies have shown that land regulation alone cannot account for food security or trade performance without considering these broader socioeconomic and environmental drivers [17,27]. In this context, the present study does not attribute changes in food security and trade solely to land regulation but rather examines how such policies function alongside other variables. The case studies of China, Russia, and Kyrgyzstan are interpreted within this broader framework, with emphasis on plausible linkages between land policies, productivity metrics, and export trends [19,26]. China’s stringent and centralized land-regulation system has proven effective in preserving arable land and enhancing food security. The Red Line policy and extensive government investments in agricultural infrastructure and technology have maintained stable food production levels, contributing to both domestic food security and international trade competitiveness [32]. However, rapid urbanization and industrialization pose ongoing challenges that require adaptive policy measures to prevent arable land loss.
Russia’s transition from a centrally planned to a market-oriented land-regulation system has led to increased agricultural productivity and significant contributions to global food markets, particularly in grain exports. The consolidation of farmland and modernization of agricultural practices have been instrumental in achieving these outcomes [35]. Yet, the regional imbalances in agricultural productivity and infrastructural development necessitate a policy that would ensure equal access to resources and support for smallholder farmers to enhance total food security. The land-regulation system in Kyrgyzstan, the first land fragmentation in its history, and recent efforts toward consolidation and cooperative farming present a mixed impact on food security. Although land reforms have empowered smallholder farmers, the fragmented agricultural landscape hinders large-scale productivity improvements. Current policy tilts toward land consolidation and cooperative farming, but this is due to low access to market infrastructure and resources [26].
More generally, these results highlight how vital land-regulation policies are in addressing agriculture problems in each country. The fact that the strategies and their outcomes vary in China, Russia, and Kyrgyzstan indicates that there is a need to develop strategies that fit in the given country context to ensure optimal land use in raising agricultural productivity levels as well as food security. More critically, the possible harmonization of land regulations among these countries will likely provide opportunities for regional cooperation and improvement in trade efficiency under the BRI framework.

6.1. Harmonization of Regulations

Harmonization of land regulations among China, Russia, and Kyrgyzstan would deliver enormous benefits while presenting very significant challenges. Among the most important advantages is the potential of improving agricultural trade efficiency through lessening the diversity of rules and regulations. It would moderate and weaken some trade barriers, allow easier compliance by agrarian exporters, and expand integration within regional markets. This would enable much smoother and predictable trade flows, boosting agricultural trade under the BRI framework [22].
In addition, harmonization can be oriented toward sharing best practices on sustainable land use and agricultural productivity. For example, knowledge of the more sustainable advances in China’s farming technologies and practices could be diffused to Russia and Kyrgyzstan. In the same vein, the experience gained by Russia in modernizing large-scale farming enterprises may be of relevance for other BRI countries regarding increased efficiency in agriculture. This exchange of technologies and knowledge between countries can result in more sustainable agricultural outcomes and food security for the region.
However, the obstacles to harmonization are enormous. The three countries have different political, economic, and social contexts that define their systems for governing land. The high centralization approach in China is not likely to fit in Russia and Kyrgyzstan, where a more market approach and decentralized system exist. Besides, different capacities of law and institutions, as well as levels of economic development, could complicate standards in regulation [36].
Also, this can lead local stakeholders to oppose harmonization because they will feel that the process is a threat to their autonomy and interests. Addressing these issues requires a delicate balance between recognizing the idiosyncratic nature of the given country’s context and situation and facilitating some slow convergence towards broad regulatory principles. Working through regional organizations or international entities must be done to utilize cooperation as the means of overcoming these difficulties and ultimately realizing successful harmonization.

6.2. Policy Recommendations

This study identifies key policy recommendations to strengthen food security and trade efficiency across China, Russia, and Kyrgyzstan. These recommendations emphasize actionable measures tailored to the unique socio-economic and agricultural contexts of each country while addressing potential challenges to implementation. Importantly, the recommendations are derived from a novel comparative framework that integrates statistical, geospatial, and policy-level data. By synthesizing evidence from three countries with distinct regulatory and institutional structures, the study offers a more generalizable basis for formulating land-governance strategies across the Belt and Road region. This cross-national lens enhances the academic value of the research and ensures that empirical trends rather than country-specific assumptions inform the proposed measures.
Enhancing land-tenure security is essential for fostering sustainable land use and agricultural investment. Clear and enforceable property rights, particularly in regions prone to land fragmentation, are critical. In Kyrgyzstan, formalizing land ownership through registration processes could empower smallholder farmers and promote cooperative farming practices. Similarly, in Russia, secure land tenure would support productivity gains in consolidated agricultural lands. Investing in agricultural infrastructure and modern technology is paramount for improving productivity and market access. Priorities include the expansion of irrigation systems, rural road networks, and modern storage facilities. Advanced precision farming technologies and digital tools should be integrated into national agricultural policies. For example, China can further enhance the Red Line Policy by embedding data-driven technologies to optimize land use and improve yields.
Fostering regional cooperation among Belt and Road Initiative (BRI) countries can enable the harmonization of land-use policies and facilitate the exchange of best practices. Joint agricultural research programs and regional knowledge-sharing initiatives would support the adaptation of successful models, such as China’s advanced irrigation systems, in other BRI countries like Kyrgyzstan and Russia. Supporting smallholder farmers through financial incentives, cooperative farming models, and access to training is crucial. Policies that empower these farmers would address issues of scalability and resilience, enabling them to compete in domestic and international markets. While these policy measures present opportunities for transformation, their implementation may face challenges related to resource availability, institutional capacity, and political constraints. Overcoming these barriers will require a multi-stakeholder approach involving governments, private sector actors, and local communities.

6.3. Limitations and Future Research Directions

While this study provides a robust analysis of cultivated land regulations and their impacts on food security and trade, certain limitations must be acknowledged. These limitations highlight areas for further research and refinement. The analysis relies primarily on secondary data sources, including government reports, international databases, and satellite imagery. While these sources are reliable and comprehensive, the lack of granular and primary data limits the ability to capture local-level variations in land use and productivity. Future studies should incorporate detailed field-level data to provide a more nuanced understanding of these dynamics.
Additionally, the study focuses on national-level policies and outcomes, which may overlook regional disparities within each country. For example, variations in irrigation efficiency, crop yields, and market access across subnational regions warrant further investigation. Exploring these differences would enable the formulation of region-specific policy interventions. Policy implementation challenges, such as political resistance, financial constraints, and limited institutional capacity, are another critical area for future research. Strategies to address these barriers, including pilot programs and public–private partnerships, should be explored to ensure the feasibility and scalability of recommended measures.

7. Conclusions

This study provides a comparative analysis of cultivated land-regulation systems in China, Russia, and Kyrgyzstan, focusing on their impacts on food security and agricultural trade within the Belt and Road Initiative (BRI) framework. By integrating statistical analysis and geospatial techniques, this research highlights significant regional disparities and country-specific challenges while emphasizing actionable solutions for sustainable development. This research contributes to the academic literature by offering a rare cross-country empirical evaluation of land-regulation systems using harmonized data across three distinct national contexts. It addresses a gap in existing studies that often limit their focus to single-country assessments or theoretical reviews. China’s centralized and strict regulatory framework, exemplified by the Red Line Policy, has effectively preserved arable land and supported food security. The integration of advanced technologies and robust investments has enhanced agricultural productivity, resulting in increased export volumes and trade efficiency. However, balancing urban expansion with land preservation remains an ongoing challenge. Russia’s market-oriented land reforms and modernization efforts have significantly improved agricultural productivity and established the country as a leading global exporter of wheat and barley. Nevertheless, limitations in irrigation infrastructure and regional disparities underscore the need for targeted investments and policy interventions to address these gaps. Kyrgyzstan’s fragmented landholding system presents persistent challenges to agricultural productivity and market integration. Recent reforms, such as cooperative farming initiatives, have shown promise in improving yields and fostering trade growth. However, limited infrastructure and access to markets continue to constrain the country’s potential. The findings underscore the need for harmonized and region-specific land-regulation policies across BRI countries to address shared challenges such as land degradation, resource allocation, and climate resilience. Strengthening land-tenure security, expanding agricultural infrastructure, and fostering regional cooperation are critical for achieving sustainable agricultural development and ensuring food security. By drawing comparative insights from countries at different stages of regulatory maturity, this study offers practical implications for both policymakers and researchers interested in land governance, regional integration, and sustainable food systems under the BRI framework.

Author Contributions

Conceptualization, Z.B. and C.L.; methodology, Z.B.; software, Z.B.; validation, Z.B. and C.L.; formal analysis, Z.B.; investigation, C.L.; resources, C.L.; data curation, Z.B.; writing—original draft preparation, Z.B.; writing—review and editing, C.L.; visualization, C.L.; supervision, C.L.; project administration, C.L.; funding acquisition, C.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The National Natural Science Foundation project (Grant No. 31960631).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article; further inquiries can be directed to the corresponding author.

Acknowledgments

We would like to thank all of the participants who volunteered their time in the study. We very much appreciate the valuable comments and suggestions from the reviewers and editors.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Land-cover types in China (2016–2022). Distribution of various land-cover types in China, including agricultural land, forest land, grassland, built-up areas, wetlands, water bodies, barren land, and other areas.
Figure 1. Land-cover types in China (2016–2022). Distribution of various land-cover types in China, including agricultural land, forest land, grassland, built-up areas, wetlands, water bodies, barren land, and other areas.
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Figure 2. Different land-cover types in China.
Figure 2. Different land-cover types in China.
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Figure 3. Land-cover types in Russia (2016–2022). Distribution of various land-cover types in Russia, including agricultural land, forest land, grassland, built-up areas, wetlands, water bodies, barren land, and other areas.
Figure 3. Land-cover types in Russia (2016–2022). Distribution of various land-cover types in Russia, including agricultural land, forest land, grassland, built-up areas, wetlands, water bodies, barren land, and other areas.
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Figure 4. Different land-cover types in Russia.
Figure 4. Different land-cover types in Russia.
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Figure 5. Land-cover types in Kyrgyzstan (2016–2022). Distribution of various land-cover types in Kyrgyzstan, including agricultural land, forest land, grassland, built-up areas, wetlands, water bodies, barren land, and other areas.
Figure 5. Land-cover types in Kyrgyzstan (2016–2022). Distribution of various land-cover types in Kyrgyzstan, including agricultural land, forest land, grassland, built-up areas, wetlands, water bodies, barren land, and other areas.
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Figure 6. Different land-cover types in Kyrgyzstan.
Figure 6. Different land-cover types in Kyrgyzstan.
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Figure 7. Food security indicators in China, Russia, and Kyrgyzstan.
Figure 7. Food security indicators in China, Russia, and Kyrgyzstan.
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Table 1. Comparative summary of key economic, social, and agricultural characteristics of China, Russia, and Kyrgyzstan.
Table 1. Comparative summary of key economic, social, and agricultural characteristics of China, Russia, and Kyrgyzstan.
IndicatorChinaRussiaKyrgyzstan
Arable Land (hectares)119.5 million 121.6 million 1.3 million
Agricultural Employment (% of total)22.6% (2022) 6.5% (2022) 40%
Dominant Soil TypesAlluvial, Loess, Red soils Chernozem (Black Earth), Podzolic Mountain soils, Brown soils, Chernozem in valleys
Climatic Conditions for FarmingVaried: temperate in the east, arid/semi-arid in the north and west Varied: continental climate with long, cold winters and short, warm summers Mountainous terrain with continental climate; limited arable land
Table 2. China’s agricultural productivity metrics (2016–2022).
Table 2. China’s agricultural productivity metrics (2016–2022).
YearCrop Yield (tons/ha)Irrigated Land (%)Agricultural Productivity Index
20165.851.5100
20175.951.7103
20186.051.8107
20196.052.0110
20205.751.8105
20215.851.9108
20225.952.0110
Table 3. Spatial distribution of agricultural activities.
Table 3. Spatial distribution of agricultural activities.
CountryRegionMajor Crops/ActivitiesCultivated Land Area (Million ha)Land-Use TypeNotable Changes (2016–2022)
ChinaYangtze River DeltaRice, Wheat23.5Highly irrigated and mechanizedIncreased urbanization, stable yields
ChinaNorth China PlainWheat, Corn35Irrigated with crop rotationImproved crop rotation techniques
ChinaNortheast ChinaSoybeans, Maize15.2Mechanized with minimal irrigationRising productivity in soybeans
RussiaCentral Federal DistrictWheat, Barley32.8Extensive mechanized farmingModernization and consolidation
RussiaVolga Federal DistrictSunflower, Barley45.5Partial irrigation, consolidated farmsExport-oriented sunflower expansion
RussiaSouthern Federal DistrictVegetables, Fruits22.1Small-scale diversified farmingDiversification of crops
KyrgyzstanChui ValleyWheat, Vegetables0.5Irrigated and fragmentedImproved irrigation projects
KyrgyzstanIssyk-KulLivestock, Fruits0.2High-altitude smallholder farmingClimate resilience measures
KyrgyzstanFergana ValleyCotton, Vegetables0.6Fragmented smallholder farmingAdoption of cooperative farming
This table highlights clear regional strengths—for instance, the North China Plain’s use of crop rotation in wheat and corn production and Russia’s Volga region’s expansion in sunflower farming. Kyrgyzstan’s productivity is more constrained by terrain and fragmentation, with cooperative models emerging in areas like the Fergana Valley.
Table 4. Trade statistics of China from 2016 to 2022. Data sources: [31,34].
Table 4. Trade statistics of China from 2016 to 2022. Data sources: [31,34].
YearTotal Export Volume (Million Tons)Key Trading PartnersDominant Export Commodities
201655.3USA, EU, JapanRice, Wheat, Soybeans
201756.8USA, EU, JapanRice, Wheat, Soybeans
201858.2USA, EU, JapanRice, Wheat, Soybeans
201959.7USA, EU, JapanRice, Wheat, Soybeans
202057.0EU, Japan, ASEANRice, Wheat, Soybeans
202158.5EU, ASEAN, JapanRice, Wheat, Soybeans
202260.0EU, ASEAN, JapanRice, Wheat, Soybeans
The data show a steady increase in export volumes, rising from 55.3 million tons in 2016 to 60.0 million tons in 2022. China’s consistent trade relationships with the EU, ASEAN, and Japan reflect its stable production base and export-oriented agricultural policies. The dominance of rice, wheat, and soybeans aligns with the productivity improvements linked to regulated land use and high irrigation coverage.
Table 5. Russia’s agricultural productivity and food security metrics (2016–2022).
Table 5. Russia’s agricultural productivity and food security metrics (2016–2022).
YearAverage Crop Yield (Tons/ha)Irrigated Land (%)Self-Sufficiency in Staple Crops (%)
20162.78.095
20172.88.196
20182.98.197
20193.08.298
20202.88.096
20212.98.197
20223.08.298
Table 6. Trade Statistics of Russia (2016–2022). Data sources: [31,34].
Table 6. Trade Statistics of Russia (2016–2022). Data sources: [31,34].
YearTotal Export Volume (Million Tons)Key Trading PartnersDominant Export Commodities
201634.5Egypt, Turkey, ChinaWheat, Barley, Sunflower Oil
201736.0Egypt, Turkey, ChinaWheat, Barley, Sunflower Oil
201838.2Egypt, Turkey, ChinaWheat, Barley, Sunflower Oil
201940.0Egypt, Turkey, ChinaWheat, Barley, Sunflower Oil
202037.0Egypt, Turkey, VietnamWheat, Barley, Sunflower Oil
202138.5Egypt, Turkey, VietnamWheat, Barley, Sunflower Oil
202241.0Egypt, Turkey, VietnamWheat, Barley, Sunflower Oil
Russia’s exports steadily increased to 41.0 million tons in 2022, with wheat, barley, and sunflower oil dominating. Primary trade partners include Egypt, Turkey, and Vietnam. The strong performance in grain exports aligns with Russia’s emphasis on large-scale, mechanized farming and favorable trade agreements under the Eurasian Economic Union.
Table 7. Kyrgyzstan’s food security metrics (2016–2022).
Table 7. Kyrgyzstan’s food security metrics (2016–2022).
YearAverage Crop Yield (Tons/ha)Irrigated Land (%)Self-Sufficiency in Staple Crops (%)
20162.211.580
20172.311.782
20182.311.883
20192.412.085
20202.211.580
20212.311.682
20222.511.984
Yields improved modestly, from 2.2 to 2.5 tons/ha, while irrigation coverage remained limited at under 12%. Although self-sufficiency in staple crops increased slightly, the figures still reflect the challenges posed by land fragmentation, limited infrastructure, and low investment levels.
Table 8. Trade statistics of Kyrgyzstan (2016–2022). Data sources: FAO (2023); World Bank (2023).
Table 8. Trade statistics of Kyrgyzstan (2016–2022). Data sources: FAO (2023); World Bank (2023).
YearTotal Export Volume (Million Tons)Key Trading PartnersDominant Export Commodities
20160.8Kazakhstan, Russia, UzbekistanFruits, Vegetables, Livestock
20170.9Kazakhstan, Russia, UzbekistanFruits, Vegetables, Livestock
20181.0Kazakhstan, Russia, UzbekistanFruits, Vegetables, Livestock
20191.1Kazakhstan, Russia, UzbekistanFruits, Vegetables, Livestock
20200.9Kazakhstan, Russia, UzbekistanFruits, Vegetables, Livestock
20211.0Kazakhstan, Russia, UzbekistanFruits, Vegetables, Livestock
20221.1Kazakhstan, Russia, UzbekistanFruits, Vegetables, Livestock
Kyrgyzstan’s exports remain modest, increasing from 0.8 to 1.1 million tons by 2022. The country primarily trades fruits, vegetables, and livestock with Kazakhstan, Russia, and Uzbekistan. While progress is evident, the relatively low trade volumes reflect the limitations imposed by fragmented landholdings and infrastructure gaps despite recent reforms.
Table 9. Comparative summary of regulations in China, Russia, and Kyrgyzstan.
Table 9. Comparative summary of regulations in China, Russia, and Kyrgyzstan.
AspectChinaRussiaKyrgyzstan
Land OwnershipState ownershipPrivatized land ownershipPrivatized land ownership
Regulatory FrameworkCentralized planning, strictMarket-oriented, consolidationDecentralized, privatized
Key PoliciesRed Line policyLand Code, state programsLand Code, land consolidation
Government RoleProactive enforcementSupportive of large-scale farmsSupportive of smallholder farms
Sustainability FocusHighModerate to highModerate
Table 10. Land-use efficiency and sustainability indicators.
Table 10. Land-use efficiency and sustainability indicators.
IndicatorChinaRussiaKyrgyzstan
Average Crop Yield (tons/ha)6.12.92.5
Agricultural Productivity Index1209575
Percentage of Irrigated Land (%)52.08.29.6
Land Degradation Rate (%)2.75.313.1
Investment in Agri. Infrastructure (USD billion)22.03.50.2
Use of Sustainable Practices (%)60.050.030.0
Table 11. Detailed trade flow data between China, Russia, and Kyrgyzstan (2016–2022). Data sources: FAO (2023); World Bank (2023).
Table 11. Detailed trade flow data between China, Russia, and Kyrgyzstan (2016–2022). Data sources: FAO (2023); World Bank (2023).
SourceDestinationExport Volume (Million Tons)Products
ChinaRussia5.5Rice, Soybeans
ChinaKyrgyzstan3.2Rice, Wheat
RussiaChina4.8Wheat, Barley
RussiaKyrgyzstan1.1Wheat, Barley
KyrgyzstanChina1.0Fruits, Vegetables
KyrgyzstanRussia1.2Fruits, Livestock
China and Russia engage in high-volume trade in staple grains and oilseeds, while Kyrgyzstan primarily exports fruits, vegetables, and livestock in smaller quantities. The data reflect China’s central role in the region’s agricultural trade, supported by strong infrastructure and policy consistency while highlighting Kyrgyzstan’s dependence on neighboring markets.
Table 12. Regression analysis results of agricultural productivity and trade efficiency.
Table 12. Regression analysis results of agricultural productivity and trade efficiency.
VariableCoef.Std.Err.tp > |t|[0.0250.975]
const44.7502874110.925268384.0960355250.00017278422.7456673966.75490744
Crop_Yield0.3479289291.0500261980.3313526170.741916346−1.7669323922.462790249
Irrigation_Coverage−0.0753608960.100555072−0.7494489860.457486804−0.2778892070.127167414
Infrastructure_Investment0.022383220.2151256910.1040471710.917594267−0.4109021630.455668603
Productivity_Index−0.0101663630.095952852−0.105951650.916091621−0.2034253270.183092601
This table summarizes the results of regression analysis examining the relationship between export volumes and variables such as crop yield, irrigation coverage, infrastructure investment, and productivity index.
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Babazov, Z.; Li, C. Exploring the Relationship Between Cultivated Land Regulations, Agricultural Productivity, and Trade Efficiency: A Comparative Analysis Among China, Russia, and Kyrgyzstan Under the Belt and Road Initiative. Sustainability 2025, 17, 4723. https://doi.org/10.3390/su17104723

AMA Style

Babazov Z, Li C. Exploring the Relationship Between Cultivated Land Regulations, Agricultural Productivity, and Trade Efficiency: A Comparative Analysis Among China, Russia, and Kyrgyzstan Under the Belt and Road Initiative. Sustainability. 2025; 17(10):4723. https://doi.org/10.3390/su17104723

Chicago/Turabian Style

Babazov, Zhumash, and Chunbin Li. 2025. "Exploring the Relationship Between Cultivated Land Regulations, Agricultural Productivity, and Trade Efficiency: A Comparative Analysis Among China, Russia, and Kyrgyzstan Under the Belt and Road Initiative" Sustainability 17, no. 10: 4723. https://doi.org/10.3390/su17104723

APA Style

Babazov, Z., & Li, C. (2025). Exploring the Relationship Between Cultivated Land Regulations, Agricultural Productivity, and Trade Efficiency: A Comparative Analysis Among China, Russia, and Kyrgyzstan Under the Belt and Road Initiative. Sustainability, 17(10), 4723. https://doi.org/10.3390/su17104723

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