Agricultural Economic Development Research Articles

Research on Regional Tea Tourism Product Development Strategy Combined with RMP Analysis

Abstract Tea culture tourism perfectly combines agricultural economic development and cultural tourism, a new trend in today’s tourism industry development. Based on the life cycle theory of tourist places and RMP theory, this paper comprehensively analyzes the three core dimensions of regional tea culture tourism product development: resources, market and products, using Province F as a case study. In the resource dimension, the combination assignment method containing preference information was used to determine the weights, and the fuzzy comprehensive evaluation model was applied to comprehensively evaluate the tea culture tourism resources. The market dimension analysis covers tea tourism’s development status and the characteristics of tourists’ travel behavior. For the product dimension, a quadrant diagram analysis was conducted using the IPA model by combining tourists’ perceived importance and satisfaction with the product. The study results show that Province F excels in tea tourism product development, with a comprehensive resource evaluation score of 90.756 points. Between 2010 and 2019, the tea tourism market received tourists at an average annual growth rate of 12.28%, reflecting the strong growth momentum of the market. Regarding product development, the average values of tourists’ perceived importance and satisfaction were 3.99 and 3.78, respectively, indicating that tourists’ overall satisfaction with tea tourism products is high. The study will help further enhance the attractiveness and competitiveness of tea tourism products and promote sustainable tourism development.

Critical issues facing Georgia residents: An application of the Delphi technique and community capitals framework

The 21st century has brought with it unforeseen challenges and influential trends that will have significant impact of the livelihood and wellbeing of Georgia residents. Extension personnel within Georgia can extend their mandate by identifying issues that represent present and near-present threats and use these issues to inform programming and direct resource allocation. The conceptual basis for this study relied upon the community capitals framework and the consensus-building theory. Data were collected using a three-round Delphi process, with an expert panel comprised of 19 Extension leadership and administrative personnel. Descriptive statistics, including mean importance scores and absolute frequency counts, were computed. A final list of 21 unique issues resulted from the Delphi process and was analyzed thematically using the constant comparative method. Five heuristic themes resulted from this analysis: 1) Investment in Youth and Adults, 2) Agricultural and Rural Economic Development, 3) Agriculture and Food Safety Information, 4) Resource Access and Availability, 5) Social and Personal Economic Concerns. Comparison with the community capitals framework revealed that multiple capitals interacted within each of the resulting themes. Utilizing the Delphi technique in conjunction with the community capitals framework enables extension professionals to compare community resources and strengths and may allow for greater efficiency in addressing critical issues. The immediate efforts of extension personnel should be directed towards addressing issues within the Investment in Youth and Adults and Resource Access and Availability themes. We recommend using the associated community capitals as strategic entry points for further discussion and program development.

Agriculture: A Pathway to Create a Sustainable Economy

Agriculture has emerged as a critical sector for constructing a long-term economy that balances economic growth, social well-being, and environmental stewardship. This report examines the relationship between sustainable agricultural practices, economic development, and environmental protection in order to create a sustainable economy through agriculture. It emphasizes the critical significance of sustainable agriculture in generating economic prosperity. It explores how organic farming, agroecology, and precision agriculture improve production, maximize resource usage, and minimize input costs. These approaches not only promote agricultural output but also help to improve food security, farmer income, and rural livelihoods. It explains how sustainable agricultural techniques safeguard natural resources, soil fertility, water quality, and biodiversity. Sustainable agriculture guarantees long-term sustainability of agricultural systems by protecting the environment, mitigating the effects of climate change, and lowering the risk of environmental damage. It explores how sustainable agriculture fosters entrepreneurship, value chain development, and market connections, resulting in job creation, income production, and rural economic regeneration. It emphasizes the significance of supportive policies, financial access, and market-oriented initiatives in unlocking the economic potential of sustainable agriculture.
 
 Keywords: Sustainable Agriculture, Biodiversity, Value chain development, Agricultural ecology

Specific implementation strategies for rural revitalization strategies to help agricultural and rural economic development

Abstract This paper constructs an evaluation index system for the development level of rural revitalization strategy and gives an evaluation index system for the development level of agricultural and rural economy. The index weights are solved by using layer-by-layer vertical and horizontal slotting methods combined with the “entropy value” nonlinear programming method, and the TOWA-GA hybrid operator is used to downgrade the evaluation value of rural revitalization level and agricultural and rural economic development level of each region and each year in the dimension of time, so as to reflect the equilibrium of the development process and the authenticity of the evaluation results. An empirical model of the influence factors of rural revitalization strategy on agricultural and rural economic development was constructed on the basis of the PVAR model, and the specific influence factors of rural revitalization strategy contributing to the development of agricultural and rural economy were verified through actual data. The results show that the index of rural revitalization development level and the increment of agricultural and rural economic development level between the western region and the eastern region in 2019-2019 reached 144.94% and 40%, respectively, and one unit of change in rural revitalization development level will cause 0.518 units of change in agricultural and rural economic development level. The implementation of the rural revitalization strategy can promote the rural areas to increase the opening up to the outside world, realize the coordinated development of urban and rural areas, increase the income of farmers’ industries, and thus enhance the level of agricultural and rural economic development.

Exploring the Influencing Factors of Consumers’ Willingness to Buy Agricultural Products Based on Social Influence Theory

The agricultural economy plays a key role in developing and constructing the world economy. Countries accelerate the agricultural layout, optimize the trade of agricultural products, positively face the globalization economic transformation, and upgrade the consumer market of agricultural products. However, the number of studies exploring the influence of consumers’ willingness to buy from an external social perspective is small. This study starts from the micro perspective of spontaneous social influence, invokes the social influence model, and combines the trust process mechanisms to study the level of consumer willingness to buy agricultural products. The findings demonstrate that spontaneous social impact favorably encourages the development of consumer trust and purchase intention; among these, consumer trust mediates the relationship between spontaneous social influence and purchase intention to some extent. Therefore, the government needs to accelerate the policy sinking strength and improve the policy credibility, enterprises need to pay attention to the influence of good product evaluation, and the consumer market needs to create a good marketing atmosphere. For agricultural trade, agricultural economic development to enrich the relevant theoretical research. Further, clarify the status of agricultural trade, accelerate the transformation and upgrading of agricultural trade and economy, and provide help for the reality of the contradiction between consumers and the market.

Multi-property digital soil mapping at 30-m spatial resolution down to 1 m using extreme gradient boosting tree model and environmental covariates

Information on the variability of soil properties including clay, calcium carbonate equivalent (CCE) and acidity (pH) in space and depth play major role in sustainable agricultural development but scarce in many regions in the world, specifically in developing countries. Digital soil mapping technique has shown strong success in the prediction of soil properties both in space and depth from their relationship with environmental covariates. The aim of the study was to digitally map soil properties including clay, CCE and pH at multiple depths and identify the dominant factors controlling their variability using Minadoab region of Iran as a case study area due to its significance for agricultural production and economic development in the country. A total of 104 soil profiles were randomly selected and described in field during 15–30 July 2017, and 386 samples were collected from each genetic horizon with variable depths. A continuous spline function was fitted to the horizon data and properties were estimated at five standardized depths following GlobalSoilMap project. The soil layers were then grouped into three classes: i) H1: top (0–5 cm); ii) H2–H4: middle (5–15, 15–30 and 30–60 cm); and iii) H5: bottom (60–100 cm) for easy interpretation. A total of 17 static environmental covariates were derived from terrain-related attributes. Additionally, matching with the soil sampling date, a total of eight band ratios in addition to six individual bands were derived from Landsat-8 OLI (Product ID: LC08_L1TP_168034_20170721_20170728_01_T1) for the study area. Finally, all covariates were categorized in nine groups representing various factors controlling soil variations. The digital maps associated with uncertainties were prepared using extreme gradient boosting (XGBoost) Tree model and bootstrapping method, respectively. Overall, the highest accuracy using XGBoost Tree model was found for CCE (R2 = 0.73, on average), followed by pH (R2 = 0.72, on average) and clay (R2 = 0.70, on average). The highest amount of clay was observed for the bottom layer, followed by middle and top layers across the study area. H1 to H3 layers were subjected to tillage operations over the time and may have contributed to the redistribution of clays. A similar trend was also observed for CCE and pH as the location of the study area is underlain by massive limestone. The uncertainties helped quantify over- and under-estimation of the predictions and the factors with the highest variable importance was identified as the dominant factor. The information generated for the study area provides soil variability information that is critical for developing management strategies for sustainable production in the area.

The Role of Agriculture in Economic Development in Somalia

The Role of Agriculture in Economic Development in Somalia

Analysis of Agricultural Economic Development in East Java Province

This study aims to analyze the development of the agricultural economy in each regency/city in East Java Province using the Location Quotient (LQ), Shift Share (SS), Klassen Typology, and Geographic Information System (GIS) methods. In the context of agricultural economic growth in East Java Province, this study aims to gain a deeper understanding of the contribution and development of the agricultural financial sector at the regency/city level. The LQ method was used to identify the economic, agricultural industry, and the primary economy in each regency/city. In contrast, the SS method analyzes shifts in agricultural economic growth between districts/cities. In addition, Klassen typology provides an overview of the economic quadrant groupings. Finally, GIS is used to visualize spatial analysis results, which helps identify the geographic patterns and distribution of agricultural economic development in Indonesia. This research is expected to provide valuable insights for stakeholders, including government and industry players, in planning more effective agricultural and economic development policies in each region/city. The results of this study can also be a reference for further research in East Java Province.

Drought responses of traditional and modern wheats in different phenological stages

Drought is one of the most pressing issues in many regions worldwide. Selecting wheat genotypes adapted to changing climatic conditions is crucial for sustainable agricultural production, economic development, and food security. In this study, 156 bread wheat genotypes, including landraces from Turkey, Iran, and Afghanistan, which have adapted to changing climatic conditions for thousands of years, and high-yielding modern wheat varieties, including advanced breeding lines and cultivars were evaluated. The genotypes were subjected to seasonal drought treatments under rain shelters, including pre-heading drought (T1), post-heading drought (T2), irrigation based on long-term precipitation (T3), and seasonal precipitation and supplemental irrigation (T4). Grain yield and physio-morphological and quality traits of the genotypes under seasonal drought and irrigated conditions were evaluated. Drought treatments reduced yield and some physio-morphological traits and increased quality traits. Pre-heading drought treatments had the greatest effect on yield and physio-morphological traits while post-heading drought treatments had the greatest effect on quality traits. Modern wheat cultivars had higher grain yields compared to landraces, but some landraces had a lower yield loss compared to modern wheats under drought stress. The higher tillering rate of the landraces resulted in greater biomass production, taller plant height, and peduncle length. Landraces had higher protein content in all treatments, whereas modern wheats had higher protein content in T2 treatments due to the selection pressure that has been ongoing for years. In summary, given that different drought scenarios will be encountered in the future, landraces should be effectively used in the breeding programs to develop seasonal drought-tolerant modern or climate-resilient wheat varieties.

Dynamic successive assessment of Rural Human Settlements Environment in China

The Rural human settlements environment (RHSE) is an important guarantee for the implementation of the rural revitalization strategy and may be affected by many factors such as water quality, economy and environmental protection. This article focuses on the temporal and spatial variability of RHSE to explore a method of dynamic successive assessment. Firstly, a systematic and causal indicator system is developed from four aspects of agricultural origin environment, sanitary conditions, ecological protection, and economic development. Then, The Variable Fuzzy Pattern Evaluation (VFPE) model and an analytic hierarchy process-entropy (AHP-E) model are combined to successively and dynamically assess RHSE. The proposed method is applied to the dynamic successive assessment of RHSE in China, including inter-province comparisons.The results show that China's RHSE has improved significantly over time, which reflects that the government has achieved remarkable results in rural environmental governance for a long time. In spatial distribution characteristics, the RHSE of Beijing, Tianjin and the southeastern coastal regions maintained the highest, followed by the northeast, north and central regions, and the western region was the lowest. Finally, countermeasures are put forward for the development of RHSE in different regions considering the differences in economic development, geographical environment and infrastructure construction.

Driving factors and decoupling effects of agricultural carbon emissions in Jiangxi Province based on time-varying parameter C-D production function.

The reduction of agricultural emission plays an important role in realizing the dual-carbon goals. It is thus of great significance to examine the characteristics and drivers of regional agricultural carbon emission. We measured agricultural carbon emission in Jiangxi Province from the perspective of input-output and production processes, and explored the drivers and decoupling dynamics of agricultural carbon emission by using the LMDI decomposition method together with the Tapio decoupling model modified by time-varying parameter C-D production function. The results showed that agricultural carbon emission in Jiangxi increased by 26.4% from 2010 to 2021, and the carbon emission intensity decreased year by year with an average annual rate of 4.9%. Factors such as agricultural carbon intensity, labor input, and capital stock collectively reduced carbon emission by a total of 61.05 Mt, with a contribution of 27.0%, 44.5% and 28.5%, respectively. Level of agricultural economic development, agricultural structure, and technological progress had strong driving effects, which accounted for 75.7%, 5.6% and 18.8%, respectively. Agricultural carbon emission in Jiangxi was weakly decoupled from economic development, capital stock, and technological progress factors, but was negatively decoupled from labor input. Moreover, the decoupling state was more desirable in the later period than in the earlier period. Our results suggested that the application of the time-varying parameter C-D production function is innovative and applicable by incorporating technology, labor, and capital factors in the examination of carbon emission drivers and decoupling effects.

Spatiotemporal Characteristics of Agricultural Production Efficiency in Sichuan Province from the Perspective of “Water–Land–Energy–Carbon” Coupling

Maintaining low carbon levels is an important strategy to minimize the levels of carbon emissions globally, and utilization of energy in agricultural production activities is one of the major sources of carbon emissions. Promoting carbon reduction in agricultural production is a key method to achieve “carbon neutrality and carbon peaking”. This article established an input–output index system for evaluating agricultural production efficiency from the “water, land, energy and carbon” dimensions, and then used the super-efficient SBM model to calculate the value of agricultural production efficiency. The article combined the Malmquist index and spatial autocorrelation method to explore the spatiotemporal characteristics of agricultural production efficiency in Sichuan Province. Finally, this article analyzed the factors that affect agricultural production efficiency in Sichuan Province. The research results indicated that: (1) Agricultural carbon emissions in Sichuan Province decreased from 2011 to 2020, and agricultural carbon emissions in the eastern region were higher than the western region. (2) The agricultural production efficiency in Sichuan Province was generally above 0.88, with fluctuations observed from 2011 to 2020. Increase in agricultural production efficiency in the region was highly correlated with advances in technological progress. The spatial distribution of agricultural production efficiency exhibited an opposite trend to agricultural carbon emissions, and Moran’s I index was approximately 0, indicating a relatively random spatial distribution. (3) Analysis of influencing factors showed that the urbanization rate was inversely proportional to agricultural production efficiency, and the level of agricultural economic development was directly proportional to agricultural production efficiency. The agricultural production efficiency analysis model established in this article provides key information for developing policies to improve agricultural production efficiency and provides a basis for the practical promotion of low-carbon agricultural production in Sichuan Province. The paper provides a reference to develop strategies to achieve the regional “double carbon” goal.

Dynamics of the Agricultural Water Footprint and the Decoupling Associations with Agricultural Economic Growth in Hangzhou, China

Understanding the relationship between the agricultural water footprint (AWF) and agricultural economic growth (AEG) is of great significance for promoting sustainable agriculture and regional economic development. In this study, we used agricultural statistics data from Hangzhou from 2010 to 2021 to calculate the AWF, predicted the decoupling relationship between the AWF and AEG, and explored the influencing factors of the decoupling relationship between the AWF and AEG. The results showed the following: (1) The AWF in Hangzhou exhibited a decreasing trend, with a reduction from 58.88 × 108 m3 in 2010 to 37.80 × 108 m3 in 2021; this was mainly related to the decline in the water footprints of grain, pork, and egg production. (2) The strong decoupling accounted for 63.64% of the decoupling between the AWF and AEG in Hangzhou during the study period. It was found that an agricultural structure adjustment was the main factor for achieving decoupling between the AWF and AEG. Under the guidance of policy, the decoupling between them could be changed by regulating the output of agricultural products with different water footprint contents per unit. (3) From 2022 to 2026, the AWF in Hangzhou is expected to decrease to 28.21 × 108 m3, while the agricultural economy is projected to increase to CNY 40.008 billion. There will continue to be a strong decoupling status between the AWF and AEG in Hangzhou.

THE IMPORTANT ROLE OF CREDIT IN THE DEVELOPMENT OF AGRO-INDUSTRIAL SYSTEMS: SUPPORTING AGRICULTURAL GROWTH AND ECONOMIC DEVELOPMENT

The purpose of the research is to explore and highlight the critical role of credit in the advancement of agro-industrial systems, with a focus on how it supports agricultural growth and contributes to wider economic development. The methodology of the research - the study uses a comprehensive review of existing literature, case study analysis, and synthesis of data from government policies, financial institutions, and agricultural cooperatives to examine the multifaceted impact of credit in an agro-industrial context. The practical importance of the research - the findings of this study offer practical insights for policy makers, financial institutions and stakeholders in the agricultural sector and provide them with valuable guidance on how to promote credit availability and optimize its impact on agro-industrial development. The results of the research - the findings of this study highlight critical strategies for enhancing competitiveness in non-oil industries. The originality and scientific novelty of the research - the study offers an original perspective on the multifaceted and interconnected benefits of credit in agro-industrial systems, highlighting the importance of sustainable practices and financial inclusion, thus contributing to scientific innovation in understanding the vital role of credit in promoting agricultural growth and economic development.

Benefits through Innovative Cropping Patterns in the Hilly Regions of Southwest China: An Integrated Assessment of Emergy and Economic Returns

Optimizing Cropping patterns is important for the improvement of regional agricultural economic efficiency and sustainable development. However, there are few studies on the sustainability of cropping patterns in hilly areas. Here, we studied four new three-maturing cropping patterns in a typical ecological site in the hilly areas of southwest China. An analytical method combining economic efficiency evaluation and energy value analysis was used to evaluate and compare the economic efficiency and sustainability of the new cropping model and the traditional cropping model. We explored the construction of a new three-crop cropping model suitable for the southwest hilly area to improve the economic benefits of agricultural production and improve the sustainability of agricultural production. To solve the above problems, we constructed eight cropping patterns and classified them as follows: The Traditional Double Cropping System: T1, oilseed rape-summer soybean; T2, oilseed rape-summer maize; T3, wheat-summer maize. Traditional Triple Cropping System: T4, wheat/spring maize/summer soybean. Novel Triple Cropping System: T5, forage oilseed rape-spring maize/summer soybean; T6, forage oilseed rape-spring maize/peanut; T7, potato-spring maize/peanut; T8, potato-spring maize/summer soybean. The results of the study showed that compared with the Traditional Double Cropping System and the Traditional Triple Cropping System, the Novel Triple Cropping System increased the economic yield by an average of 100.39% and 49.18%, the economic production capacity by 71.32% and 36.48%, the biological yield by 12.53% and 4.90%, and the biological production capacity by 13.59% and 5.80%. The economic benefits of the Novel Triple Cropping System were significantly improved, with economic profits increased by CNY 9068 ·hm−2 and CNY 7533 ·hm−2 compared with the Traditional Double Cropping System and the Traditional Triple Cropping System. The energy value analysis further revealed the characteristics of the Novel Triple Cropping System as a high input and high output model. The Novel Triple Cropping System increased energy value inputs by 6.56% and 4.25%, and energy value outputs by 13.69% and 4.27% compared with the Traditional Double Cropping System and the Traditional Triple Cropping System, respectively. This high level of inputs stems mainly from a significant increase in labor inputs. Meanwhile, the energy-value indicator analysis of the Novel Triple Cropping System shows its lower dependence on natural resources, greater production intensification, and increased system stability. As a result, the Novel Triple Cropping System showed higher sustainable production capacity. In summary, the results of this study can provide a theoretical basis for optimizing cropping patterns and promoting high-yield and the sustainable development of agriculture.

Soil Moisture Monitoring and Evaluation in Agricultural Fields Based on NDVI Long Time Series and CEEMDAN

The North China Plain is an important area for agricultural economic development in China. But water shortages, severe groundwater over-exploitation and drought problems make it difficult to exercise the topographic resource advantages of the plain. Therefore, the precise monitoring of soil moisture is of great significance for the rational use of water resources. Soil characteristics vary in natural farmland ecosystems, crops are constrained by multiple compound stresses and the precise extraction of soil moisture stress is a difficult and critical problem. The long time series was decomposed via complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to obtain different intrinsic mode function (IMF) components, and the statistical descriptors of each component were calculated to realize the precise discrimination of soil moisture stress. A quantitative evaluation model of soil moisture was established, and the different noise addition ratios and modeling types were set respectively to investigate the optimal inversion model. The results showed that: (1) The reconstruction error of the CEEMDAN was small and almost 0; it had a high reconstruction accuracy and was more suitable for the decomposition of the long time series. The first two components, IMF1 and IMF2, were soil moisture stress subsequences, and it could effectively reflect the moisture stress situation. (2) The inversion model performed well when ε was 0.05 and the model type was quadratic, with a coefficient of determination R2 of 0.98, which gave a better fit and less error. (3) The overall soil moisture content in the study area was low, basically in the range of 6.9% to 15.7%, with the central part, especially the south-central part, being the most affected by soil moisture stress, and the overall impact of soil moisture stress showed a decreasing trend from February to May. The utilization of CEEMDAN further enhances the accuracy of soil moisture inversion in agricultural fields, realizing the effective application of remote sensing observation technology and time-frequency analysis technology in the field of soil moisture research.

Should environmental taxes be imposed on agriculture? Analysis from the welfare perspective

IntroductionEnvironmental taxation is an essential regulatory tool for governments seeking to optimize agricultural production, enhance the environment, and guarantee food safety. Concerns exist, however, regarding the imposition of environmental taxes on agriculture, as this could be detrimental to the interests of agricultural producers and consumers. To address these challenges, it is essential to integrate agricultural production, environmental protection, and economic development, which can better comprehend the effects of agricultural environmental taxes on production decisions, the environment, the economy, and society.MethodsTo better comprehend the effects of agricultural environmental taxes on production decisions, the environment, the economy, and society, this paper constructs a mathematical model and analyzes optimal outcomes from a welfare perspective. The study examines the structure of consumer groups, classifying them as either green or non-green.Results and discussionFirst, when both consumer groups coexist on the market, imposing environmental taxes on non-green agricultural producers does not always result in a reduction in social welfare. Within a specific tax range, it is possible to accomplish a tripling of social welfare, agricultural producer welfare, and environmental benefits. Second, as the tax rate rises, the environment progressively improves while consumer surplus diminishes. Within a particular tax range, producer surplus and social welfare both increase. Third, as the proportion of green consumers in the market and ordinary consumers’ awareness of green agricultural foods increases, the positive impact of taxation on the environment decreases, while its positive impact on producer surplus and consumer surplus increases. Taxation can also have a positive effect on the social welfare under certain conditions.ContributionsFirst, we comprehensively investigate the feasibility of agricultural environmental taxation from a welfare perspective, considering market competition and segmentation, which fills a gap in previous studies. Second, we establish a reasonable range for taxation that simultaneously enhances social welfare, producer welfare, and environmental benefits. Third, we explore the relationship between market segmentation structure, ordinary consumers’ awareness of green agricultural foods, and welfare, providing insights into the different attitudes of countries and regions toward agricultural environmental taxation.

Spatial Spillover Effect and Nonlinear Relationship between Factor Misallocation and High-Quality Agricultural Economy: Evidence from 154 Cities in Major Grain-Producing Areas of China

Promoting the high-quality development of agriculture is an inevitable requirement toward realizing the transformation from a large agricultural country to a powerful one, and optimizing factor allocation is a prerequisite. In this paper, we use spatial econometric models to analyze the impact of factor misallocation on the high-quality development of the agricultural economy based on panel data from 154 prefecture-level cities in major grain-producing regions from 2004 to 2020. We found that factor misallocation was relatively low at the prefecture level, with an average annual decrease of 0.82 percent, compared to an average annual increase of 1.29 percent for the high-quality development of the agricultural economy. Factor misallocation inhibited improvements in high-quality agricultural economic development in adjacent cities. This conclusion remained stable after a series of tests, and the inhibitory effect exhibited significant spatiotemporal heterogeneity due to differences in geographical location, developmental level, and factor allocation methods. At the same time, a mechanism test demonstrated a continuous weakening of the inhibitory effect, accompanied by the optimization and upgrading of the agricultural industry, as well as an improvement in agricultural scientific and technological progress. In addition, nonlinear tests demonstrated that the impact of factor misallocation on the high-quality development of the agricultural economy exhibits significant nonlinear features as agricultural science and technology advances.

China's economic development of agriculture: Achievements and challenges

Subject. This article discusses the issues of food security of China. Objectives. The article aims to analyze China's various agricultural and environmental policies. Methods. For the study, we used a statistical analysis. Results. The results of the analysis of various economic indicators confirm that land reform in China has contributed to significant progress in rural economic development. The article also identifies the factors hindering the development of agriculture in China. Conclusions. It is necessary to implement a number of measures that will contribute to solving the main social and environmental problems of rural areas in China.

The role of the fishery industry in the shift towards sustainable food security: a critical study of blue food.

Blue foods have traditionally been undervalued in their contribution to global food systems. Yet they are incredible sources of locally produced nutrition for millions of people. In late 2022, there was a call for global action on food system transformation in the United Nations Food Systems Summit. The Blue Food Assessment, a scientific assessment of blue foods and their potential to contribute to sustainable and just food systems, reveals gaps where innovation could meaningfully bolster the blue food ecosystem. This article aims to examine the dynamic impact of the fishery sector on long-term food security in 27 European Union (EU27) countries while considering the contribution of agricultural output, energy production, economic development, and governance between 1990 and 2022. The findings showed a substantial positive link between fishery production and sustainable food security at a 5% statistical level, except the fifth quantile, using the new method of moment quantile regression (MMQR) with fixed effects. From the first to the ninth quantiles, fishery output considerably improves sustainable food security, with a more substantial benefit at the highest (≈ 0.021) and a lower impact at the lowest quantile (≈ 0.010). The findings also show that the EU13 developing countries see a more significant positive impact, at a 5% statistical level, on sustainable food security from fishery output than the EU14 developed nations. On the other hand, the findings also show that the EU14 developed countries see a more significant positive impact, at a 1% statistical level, from the agricultural output on sustainable food security than the EU13 underdeveloped nations. The results show a strong positive correlation between agricultural production and long-term food security at the median and most recent quantiles (≈ 0.362). In the EU27 area, sustainable food security rose across median and recent quantiles, supporting the growth hypothesis for nations that produce fisheries. In the EU27, the impact of governance was positive and statistically significant at 5% for both older and more recent quantiles. The findings also show that the EU14 nations have a more substantial beneficial effect of governance, at a 1% statistical level, on sustainable food security than the EU13 countries. With the help of effective fishery sector production, policymakers may raise the degree of food security in the EU14 and EU13 nations and ensure long-term food security.