Agricultural Economic Development Research Articles

Farmland transfer contract performance and green production technology adoption among farmers: evidence from a survey of four provinces in China.

The popularization and use of green production technology is the key to promoting the sustainable development of agriculture. Exploring the path of promoting farmers' adoption of green production technology has important theoretical and practical significance for promoting the green transformation of agriculture and realizing the high-quality development of agriculture. This study examined the impact of contract performance on the adoption of green production technology in the farmland transfer market based on the characteristics of green production technology. An empirical test was conducted using survey data from Heilongjiang, Henan, Zhejiang, and Sichuan Provinces, which differ in agricultural resource endowment and economic development. The results demonstrated that farmland area was positively associated with the number of green production technologies adopted by farmers and use of straw returning, subsoiling, and soil testing for formula fertilization technology. Moreover, improving the performance rates of farmland transfer contracts strengthened the promotional effect of operation scale on green production technology adoption. Using either contract execution or dispute resolution rates to measure contract performance promoted the adoption of green production technology, particularly for large-scale farmers. Therefore, in the publicity and promotion of agricultural green production technology, the government should not only formulate differentiated promotion strategies and support policies based on resource endowment, but also focus on the construction of rural legal systems, which are helpful for building and maintaining a good farmland market order and performance environment, and create conditions for the durability and stability of technology adoption.

An empirical study on the impact of green transition of farmland use on agricultural economic growth: A case of Hubei Province of China

Farmland use challenges reflect the current complexities facing China's agricultural economic development. This study focuses on 70 counties in Hubei Province of China, with the objective of exploring the spatial relationship between green transition of farmland use and agricultural economic growth. Furthermore, it seeks to quantify their effects and assess regional heterogeneity. Here are the findings: (1) There is a notable positive spatial correlation observed between agricultural economic growth and the various subsystems as well as factor layers of the green transition of farmland use. (2) The optimization of the quantity and form of farmland has a positive promoting effect on agricultural economic growth in both the local county and adjoining counties. In contrast, the spatial pattern, ecological function, intensive use, and environmental friendliness of farmland have a negative effect. (3) The influence factors of the green transition of farmland use on agricultural economic growth show significant spatial heterogeneity, with the overall effect degree being in the following order: northern hillock, central plain, western mountain range, and eastern hills. The influence on neighboring agricultural economic growth also exhibits significant spatial differentiation, with the overall effect degree following this order: eastern hills, northern hillock, central plain, and western mountain range. Targeted suggestions are proposed to promote the green transition of farmland use and achieve sustainable agricultural economic growth.

Peran Pertanian dalam Pengembangan Ekonomi: Penilaian Transformasi Struktural dan Dinamika Pertumbuhan Ekonomi

By understanding the role of agriculture in economic development holistically, this research aims to provide policy makers, practitioners, and academics with deeper insights on how to enhance the role and contribution of the agricultural sector in achieving inclusive and sustainable economic growth. Through a careful evaluation of the structural transformation and dynamics of economic growth in the agricultural sector, this research is expected to provide valuable guidance in formulating more effective and future-oriented policies. In this study, the use of qualitative methods involved a variety of techniques and approaches. By using these qualitative methods, the research was able to explore various complex aspects of how agriculture plays a role in economic development, including the challenges, opportunities, social dynamics, and policies that affect it. Research results The agricultural sector is an important part of a country's economic structure, involving a wide range of activities from production to distribution of agricultural products. While agriculture is often the dominant sector in the early stages of economic development, its role continues to change as the economy develops. The role of the agricultural sector is crucial in feeding the population, creating jobs, and contributing to economic growth, especially in developing countries. However, agricultural activities can also have significant impacts on the environment, such as land degradation and ecosystem damage.

Measurement and analysis of regional water-energy-food nexus resilience with an improved hybrid kernel extreme learning machine model based on a dung beetle optimization algorithm

CONTEXTIn traditional water-energy-food nexus (WEFN) system analysis, the impact of resilience is insufficiently considered, and the accuracy of resilience assessment is low, which can easily lead to system imbalance. Modeling measures can yield optimal evaluation results and provide decision makers with a scientific and efficient basis for management. OBJECTIVEThe objective of this study was to provide a new research paradigm for exploring the sustainable development of WEFN systems by quantitatively and accurately assessing WEFN resilience and identifying its key driving factors. METHODSThe connotation of WEFN resilience was established, and a human-centered conceptual framework for WEFN resilience was constructed. A WEFN resilience evaluation system was scientifically and completely constructed using qualitative and quantitative index screening methods. The hybrid kernel extreme learning machine (HKELM) model was improved based on the dung beetle optimization (DBO) algorithm to measure and analyze the WEFN resilience of the China Beidahuang Group. The CRiteria Importance Through Intercriteria Correlation (CRITIC) method was adopted to calculate the evaluation index weight of the WEFN system of the Beidahuang Group. Model performance verification methods, such as application of the theory of serial number summation, were used to evaluate the performance of the DBO-HKELM model. RESULTS AND CONCLUSIONSThe results showed that over time, the Beidahuang Group's WEFN resilience exhibited a fluctuating upward trend. From 2006 to 2008, WEFN resilience declined to level II because of predatory agricultural production and management practices. From 2008 to 2018, the WEFN resilience increased to level IV due to the protection of uncultivated land, the optimization of irrigation methods, and the increasing maturity of the agricultural modernization development model. Likewise, from 2018 to 2020, the WEFN resilience stabilized at level IV because of the optimization of agricultural planting structures and the reduction in coal consumption. Spatially, the WEFN resilience of various branches of the Beidahuang Group exhibited a trend of “gradually decreasing from north to south.” Differences in certain variables, such as the proportion of area irrigated with electromechanical wells, were the most important factors related to changes in WEFN resilience over time. The DBO-HKELM model has notable advantages over the FA-HKELM and NGO-HKELM models in terms of fitting accuracy, optimization rate, reliability, rationality, and robustness. SIGNIFICANCEThese research results could enrich quantitative assessment methods for determining WEFN system recovery strength and provide scientific support for the safe operation and sustainable development of agricultural economies and societies.

Analysis of the spatial mismatch pattern of net carbon in agriculture and its influencing factors

Agricultural production has dual functions as a carbon emitter and sink, and fully exploiting the carbon sink function of agriculture is highly valuable for ensuring carbon neutrality. The layout of net carbon in agriculture shows an imbalance, i.e., underscaling in areas with a net carbon advantage or overscaling in areas with a net carbon disadvantage, which restricts the fulfillment of agricultural carbon sinks. Clarifying the global pattern of net carbon imbalances in agriculture and their drivers is highly important for improving the overall net carbon. In this regard, this paper focuses on the global net carbon in agriculture in 155 countries and regions, and a spatial mismatch index of net carbon in agriculture (MNCA) is constructed based on the relative difference between net carbon and cultivated land. Spatial autocorrelation analysis and the standard deviation ellipse are used to reflect its spatiotemporal evolution pattern. In addition, through geographically weighted regression, we explored the effects of agricultural structure, agricultural economic development, the scale of labor and cultivated land and organized the mismatches into carbon and area effects. The results show that (1) global agricultural production represents net carbon emissions, while developing countries represent net carbon sinks, and there is a mismatch of net agricultural carbon in most regions; (2) the MNCA is characterized by low-low clustering in North America, Asia and Europe, with its center of gravity falling in western Africa and migrating northeastward; and (3) the main factors influencing the MNCA are the agricultural structure and economic level. Underscaling in areas with a net carbon advantage is a major problem. To increase the global agricultural carbon sink capacity, we suggest that North America, South Asia and other regions strictly implement agricultural emission reduction policies and that Central America, South America and Africa tentatively upgrade agricultural technology and their economies to alleviate farmland pressure through transnational cooperation. In this paper, the global net carbon imbalance in agriculture is identified and the overall implementation path of increasing carbon sinks is explored to provide a reference for achieving carbon neutrality. SynopsisThis study reports a global mismatch in net carbon in agriculture and identifies the wasted carbon sink advantage of developing countries as the root problem.

Stochastic analysis, forecasting and programming of innovative activity of the Udmurt Republic agricultural economy

Subject. This article discusses the issues of State support for agro-industrial enterprises, and introduction of new technologies for the agricultural production. Objectives. The article aims to analyze the dependence of the agricultural economy's development on the major factors of innovation activity. Methods. For the study, I used the case, statistical, and abstract-logical research methods. Results. The article proposes certain methodological tools developed to assess the quantitative dependencies of agricultural production volumes on the residual value of fixed assets, volume of investments in fixed assets, and the volume of subsidies and grants in the industry. The livestock industry plays a decisive role in the innovative development of agriculture in the region. Conclusions. When developing State support measures for agriculture, it is necessary to take into account their impact on the factors and results of innovative activities.

Measuring and forecasting the growth of dates exports in Iraq using the box-Jenkins methodology during the period 1990-2025

Exporting to any country is an important factor in generating income and providing foreign exchange by increasing those exports. The purpose of the study is to determine the feasibility of production and export of dates to Iraq and to use the Box- Jenkins methodology to predict date exports to Iraq for the years 1990–2025 based on time series. They were represented by the number of dates exported to Iraq in the years 1990-2019. Statistical means and methods were used to study the nature of the time series, where it was noted that there is a clear fluctuation in the quantity of exports. The researchers concluded, through the use of the Box- Jenkins methodology, that the appropriate model for predicting the amount of date exports is the ARIMA model (2,2,1) among a group of models that does not have the best values through the criteria adopted for selection. As well as the model (1,0,0) to predict the production quantities of dates. The study concluded to continue to support the agricultural sector, especially production Dates, because Iraq is characterized by different types, as well as the increase in exports, which is an important part in achieving agricultural economic development, as well as the adoption of economic policies that help encourage exports by supporting producers, which achieves returns on the trade balance and foreign currency

A Coupling Study of Agricultural Carbon Emission, Water Resources and Economic Development in Heilongjiang Province

Heilongjiang Province is a major agricultural province in China, and its agricultural water consumption will account for 88.6% of the province's water consumption in 2020.Based on the coupling effects of agricultural water resources, agricultural carbon emissions and agricultural economy, this paper calculates and finds the data of Heilongjiang Province from 2000 to 2019,and uses Kuznets model theory, literature reading method, systematic research method and geographical research as the theoretical basis. The negative problems of Heilongjiang Province's agriculture, such as weak level of sustainable development, unreasonable consumption of agricultural water resources, and poor sustainable and good development of environment and economy, are analyzed in depth. Finally, by analyzing the restrictive factors, the author puts forward the path and countermeasures of the corresponding coordinated economic development.

The Impact of Agricultural Mechanization on Agricultural Green Total Factor Productivity and its Promotion Prospect

From the perspective of rural revitalization, efforts to improve agricultural green total factor productivity is the key to achieve high-quality and efficient development of agricultural economy, and also an important starting point for building a modern agricultural power and Promoting Rural Revitalization Strategy. Based on the survey data of six cities in Northern Anhui, combined with the needs of green sustainable agricultural development and ecological civilization construction, SEM model and decision tree model were established to analyze the factors affecting the improvement of agricultural green total factor productivity, and explore the prospect and attitude of residents in six cities in Northern Anhui to the improvement of agricultural green total factor productivity. Finally, the paper puts forward targeted policy suggestions from six aspects of policy support, resource integration, technology transformation, public participation, environmental protection and market guidance, aiming to explore the feasible path for improving agricultural green total factor productivity in the six cities in Northern Anhui.

Environmental Efficiency Analysis on Rice Production in Ciamis Regency: Agricultural Economic Development Perspective

Environmental Efficiency Analysis on Rice Production in Ciamis Regency: Agricultural Economic Development Perspective

Analysis of the Promotion Effect of Agricultural Economic Management on Rural Economic Development Based on VAR Model

Under the background of my country’s new rural construction and the implementation of the rural revitalization strategy, the rural economy has ushered in an unprecedented opportunity for development. Agricultural economic management plays a catalytic role in providing direction guidance for rural economic development, promoting sustainable rural economic development, and providing a good environment for rural economic development. However, there are some drawbacks in agricultural economic management, which are mainly reflected in the imperfect agricultural economic management system and the lag in information infrastructure construction. In view of this, the author puts forward corresponding the advanced VAR model from the aspects of improving the agricultural economic management system, improving the application level of information technology, and improving the quality of the agricultural economic management team. Research shows that: through effective management of agricultural economy, the obstacles to agricultural economic development can be reduced from the source, thereby promoting the healthy and sustainable development of rural economy.

Multivariate Analysis of Food Security and Its Driving Factors

The main objective of the presented paper was the analysis of the current state of food security in the world, segmentation of 100 selected countries and determination of its main driving factors. The analysis used 27 indicators covering 5 basic areas: agricultural production, poverty, demography, economic development, and environmental indicators. The analysis was based on data from the FAO and World Bank for the most recent available period, which was year 2020. The data dimension was reduced with the application of factor analysis, and the main driving factors of food sufficiency were determined. The result was 6 factors: technological development, economic development, agricultural production, environmental factor, and physical quality of life and environment. To group similar countries in terms of selected indicators, a cluster analysis was performed, whereby countries were grouped by similarity into three clusters. The 1st cluster consisted of the most economically developed countries, where only 2.54% of the population suffers from malnutrition. The countries in this cluster were characterized by high levels of economic development, high caloric intake of the population, and high, life expectancy. On the other hand, they recorded negative development in demographic indicators such as fertility and birth rates. The 2nd cluster included the poorest areas of the African continent, which were most endangered by direct food insufficiency (23.74% of the population). In contrast to the first cluster, these countries were characterized by low levels of economic development, high prices, and low-calorie intakes of the population, as well as low life expectancy, while on the other hand, these countries had high fertility and birth rates. The third largest cluster consisted of countries with a medium threat of food insufficiency, where 6.37% of the population suffers from malnutrition. The countries in the third cluster excelled in terms of crop and livestock production volumes, but in contrast to this, they achieved lower levels of fat, protein, and calorie intake of population.

Financial Support for Agriculture, Agricultural Mechanization Service and Agricultural Economic Development -- An Empirical Study Based on Provincial Panel Data

Financial Support for Agriculture, Agricultural Mechanization Service and Agricultural Economic Development -- An Empirical Study Based on Provincial Panel Data

Analysis of the Factors Affecting the Business Sustainability of Agricultural Cooperatives in Northern Mindanao

Cooperatives serve as cornerstones in the region's agricultural sector, supporting livelihoods, food security, and economic development. In examining the complex dynamics of agricultural cooperatives in Northern Mindanao, this analysis investigates the multifaceted factors that affect their business sustainability, shedding light on crucial determinants driving the region's agricultural cooperative landscape. The study used a descriptive correlational research design and used survey in gathering primary data. Findings revealed that the majority of the cooperatives have been operating for 21 years and above, more have members from 15 to 150, the majority have 1 to 9 employees, and the majority are micro-cooperatives. The results indicating an average mean distribution of management of cooperatives described as strongly affecting business sustainability, shed light on the critical role of effective management practices in ensuring the long-term viability of agricultural cooperatives. The study concluded that Management of Cooperatives is significantly correlated to Business Sustainability: People means are considered weak and positive relationships between the variables tested, and Profit means are described as strong. The Enterprise Characteristics are significantly correlated to Business Sustainability, People means are described as moderate and positive relationships between the variables tested, and Profit means are described as moderate. Implications: emphasize the need for cooperatives to strategically leverage their organizational characteristics to enhance business sustainability through targeted interventions in areas such as human resource management, innovation adoption, and value chain integration.

Does county financial marketization promote high-quality development of agricultural economy?: Analysis of the mechanism of county urbanization.

China's agricultural economy has been hindered by insufficient accumulation of agricultural capital and credit constraints. It is worth investigating whether China's county financial marketization reform policy can alleviate these constraints and promote high-quality development of the agricultural economy (HQDAE). This paper presents an empirical analysis of the impact of county financial marketization reform on the HQDAE, based on county panel data. The focus is on the mechanism of county urbanization in the above relationship. The results show that county financial marketization has a significant non-linear impact on the HQDAE. Specifically, it has a 'U-shaped' impact on the overall growth of the agricultural economy and an inverted 'N-shaped' impact on the quality improvement of the agricultural economy. Secondly, the relationship between county financial marketization and the HQDAE is influenced by a threshold effect based on the level of county urbanization. As the level of county urbanization increases, the promoting effect of county financial marketization on HQDAE also increases significantly. Additionally, county financial marketization helps to promote county urbanization and accelerate urban-rural integration, which in turn leads to HQDAE. The research in this paper suggests that county-level local governments should promote a differentiated county financial system. In the early stages of financial market-oriented reform, the government should enhance the capacity of financial services in rural areas through tax breaks, policy incentives, and other measures to prevent financial leakage from agriculture. In the later stages of financial marketization reform, the government should strengthen financial supervision to prevent financial resources from being diverted from industry to capital. Moreover, to achieve the HQDAE, it is necessary to promote county financial market-oriented reform and accelerate the construction of county urbanization. This will help break the dual economic structure of urban and rural areas and promote the flow of financial capital, technology, and human capital from county cities to rural areas.

Can the digitalization level of agriculture improve its ecological efficiency under carbon constraints: Evidence from China

The interplay between digitalization and economic development constitutes a pivotal global issue, yet empirical research on agricultural ecological efficiency in developing countries remains limited. This study initially establishes a measurement system and a comprehensive index for the level of agricultural digitalization. Subsequently, it delineates the relationship between agricultural digitalization level and agroecological efficiency using the spatial Durbin model, and ultimately explores the enhancing effect of agricultural digitalization level on agroecological efficiency using China as a case study. Research reveals that the agricultural ecological efficiency across the 31 mainland Chinese provinces demonstrates a generally linear upward trajectory, embodying both agglomeration and heterogeneity. The level of agricultural digitization exerts a significant, positive direct impact and facilitates a spatial spillover effect on agricultural ecological efficiency. Other control variables, such as financial support for agriculture and local economic development, impart a positive direct impact on regional agricultural ecological efficiency, while rural household operating income propels a positive spatial spillover effect on adjacent areas. The findings furnish guidance for developing countries to adeptly execute digital rural construction, aiming to enhance agricultural ecological efficiency amidst carbon constraints.

Assessing the Drivers of Sustained Agricultural Economic Development in China: Agricultural Productivity and Poverty Reduction Efficiency

Poverty eradication is a crucial element of SDG 1. Whether the financial resources invested by the Government provide a critical impetus for deeply impoverished rural areas needs to be studied by quantitative analysis. Therefore, this study presents a theoretical analytical framework for agricultural production–government poverty reduction. It divides the poverty reduction process into two stages, agricultural production and poverty reduction, from the perspective of sustainable agricultural development. The comprehensive measurement and spatio-temporal evolution analysis of China’s agricultural production and poverty reduction efficiency are conducted using a novel dynamic two-stage DEA model, which incorporates non-expected factors. The study found that (1) China’s agricultural production and poverty reduction efficiency exhibit overall poor performance, characterized by two poles of differentiation. (2) The agricultural production efficiency score is higher in the northern region than in the southern region, while the poverty reduction efficiency score is higher in the eastern region compared to the western region. (3) The coupling and coordination between China’s production efficiency and poverty reduction efficiency are inadequate.

Dynamic Association between Industrial and Agricultural Economic Development, Environmental Pollution and Public Health in China: Based on the Parallel Two-Stage EBM-DEA Model

Dynamic Association between Industrial and Agricultural Economic Development, Environmental Pollution and Public Health in China: Based on the Parallel Two-Stage EBM-DEA Model

Fiscal agricultural expenditures' impact on sustainable agricultural economic development: Dynamic marginal effects and impact mechanism.

Sustainable agricultural economic development is the core task for achieving the objective of rural revitalization strategy in China, which cannot be separated from the support and guidance of fiscal policy, and agricultural industry integration is a key path for the fiscal promotion of sustainable agricultural economic development. This paper systematically examines the interaction mechanism between fiscal agricultural expenditures and sustainable agricultural economic development by using 31 provincial panel data in China from 2008 to 2020 and adopting a two-way fixed effect model, a panel quantile model, and a mediating effect model, respectively. The results show that the impact of fiscal agricultural expenditures on sustainable agricultural economic development is significantly positive, and appears a dynamic increasing trend with the agricultural development stage upgrading. Moreover, heterogeneity analysis shows that the effect of fiscal agricultural expenditures is more obvious for the samples in the central region and with a high share of primary industry. Further, a mediating effect test finds that agricultural industry integration plays a mediating mechanism between fiscal agricultural expenditures and sustainable agricultural economic development. Therefore, this paper proposes constructing a long-term investment mechanism for fiscal agricultural expenditures, formulating differentiated fiscal support policies for agriculture, and prioritizing support for agricultural industry integration, which provides theoretical support and policy inspiration for promoting sustainable agricultural economic development.

Research on the characteristics and influencing factors of the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River, China.

Researching the structural characteristics of the spatial correlation network of cultivated land utilization ecological efficiency is of great significance to China's food security and agricultural green and low-carbon development. Taking 47 cities (autonomous prefectures) in the upper reaches of the Yangtze River as the research object, the ecological efficiency of cultivated land utilization from 2010 to 2020 was measured based on the unexpected output model (Super SBM), and the spatial correlation matrix was constructed using the revised gravity model. The structural characteristics of the spatial correlation network were analyzed using the social network model (SNA), and finally, the factors affecting the spatial correlation network of cultivated land utilization ecological efficiency in the upper reaches of the Yangtze River were analyzed through the quadratic assignment procedure (QAP) model. The results show that: (1) the ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River has been increasing year by year, but the overall level is low, and there is a large gap among provinces. Sichuan Province has the highest average value of 0.605, and Yunnan Province has the lowest average value of 0.359. (2) The ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River has broken through the provincial boundaries and has formed an obvious spatial correlation network, but the overall density is low, and the network is still relatively loose, needing further development and improvement. Chengdu, Yibin, Luzhou, and other cities are located in the center of the network and have formed four cohesive subgroups. (3)The differences in the level of agricultural economic development, the rural per capita disposable income, the differences in agricultural mechanization intensity, the regional population differences, and spatial adjacency have an impact on the spatial network of ecological efficiency of cultivated land utilization in the upper reaches of the Yangtze River. The difference in the level of agricultural economic development, the rural per capita disposable income, and the differences in agricultural mechanization intensity are negatively correlated, while the regional population differences are positively correlated with spatial adjacency.