Level Of Agricultural Development Research Articles

Evolutionary Characteristics, Regional Differences and Spatial Convergence of China’s Sustainable Agricultural Development Level

Sustainable agricultural development is a fundamental requirement and a crucial goal of modern agriculture. It is also a significant means of enabling farmers to increase their incomes. This paper analyses the evolutionary characteristics, regional differences and spatial convergence of the level of sustainable agricultural development using kernel density estimation, Dagum’s Gini coefficient and the spatial convergence model based on panel data from 30 provinces in China from 2012 to 2021.The results show that: (1) At the level of development, the level of sustainable agricultural development at the national level and in the three major regions has shown an upward trend with fluctuations, with the average level of development in the eastern and central parts of the country higher than the national average, and in the western part of the country lower than the national average; however, the growth rate in the western part of the country is the highest among the three major regions. (2) In terms of evolutionary characteristics, the level of sustainable agricultural development in the country and the three major regions is characterised by spatial agglomeration, with varying degrees of polarisation. (3) In terms of regional differences, the Gini coefficients for the country as a whole, within the three major regions and between regions, generally show a downward trend, with interregional differences remaining the main source of overall differences. (4) In terms of spatial convergence, there is σ-convergence and β-convergence in the level of sustainable agricultural development across the country and the three major regions, and there is a positive spatial spillover effect. The conditional β convergence results show that the eastern region has the fastest rate of convergence. The above findings provide a scientific basis for the formulation of policies related to sustainable agricultural development in China.

The impact of agricultural insurance on consumer food safety: empirical evidence from provincial-level data in China.

In the exploration of the efficacy of agricultural subsidy policies, agricultural insurance, as a key element of this policy system, has garnered widespread attention for its potential impact on consumer food safety. This paper delves into the influence of agricultural insurance on the safety of food consumed by individuals, based on provincial panel data in China from 2011 to 2021. The findings indicate that agricultural insurance significantly reduces the incidence of foodborne disease and enhances food safety. Mediating effect tests reveal that agricultural insurance effectively boosts food safety through two key pathways: promoting innovation in agricultural technology and reducing environmental pollution. Moreover, the analysis of moderating effects highlights that increased consumer confidence positively enhances the impact of agricultural insurance. Heterogeneity tests further show that in the provinces with higher levels of agricultural development and stronger government support for agriculture, the role of agricultural insurance in improving food safety is more pronounced. This research not only empirically verifies the effectiveness of agricultural insurance in enhancing food safety but also provides robust theoretical support and practical guidance for the precise formulation and effective implementation of agricultural subsidy policies, particularly agricultural insurance policies, offering significant reference value for policy-makers.

Measurement of agricultural productivity and levels of development in the Malaprabha river basin, Karnataka, India

The present paper attempts to analyze the spatial patterns of agricultural productivity and assess regional disparities in the levels of agricultural development in the Malaprabha river basin, Karnataka state. The Malaprabha river basin is one of the natural regions, with agriculture being the lifeline activity of the inhabitants of the basin. However, surprisingly, the region experiences greater regional disparities in overall development in general and agricultural development in particular. Regional disparities in the river basin may be natural due to unequal distribution of natural resources or man-made in the sense of neglect of some regions and preferences for others for investment and infrastructural facilities, and to some extent, the developmental policies of the region. The present study has utilized the published sources of data and reports collected from the Directorate of Economics and Statistics, Govt. of Karnataka, the Directorate of Census Operations in Karnataka, Govt. of India, Bangalore, and other related statistical records at taluka level at two points in time, i.e., 1993–94 and 2013–14. Though the study area is a natural region, the taluka has been taken as the smallest unit of study. The findings suggest that significant disparities have extensively affected the various aspects of agricultural development in the talukas of the river basin. The areas with a low level of development should be given top priority so that they may come up at par with the developed areas and the concept of planning with social justice may be fulfilled.

How Does Digital Economy Promote Agricultural Development? Evidence from Sub-Saharan Africa

Understanding the impact of the digital economy on agriculture in developing countries holds significant importance in enhancing agricultural production and addressing hunger-related challenges. This study uses panel data of 35 SSA countries from 2006 to 2021 and investigates the relationship between digital economy and agriculture using dynamic regression models. The impact mechanism is also analyzed using mediating models. The results show that the digital economy has a positive impact on agriculture through the increase of agricultural productivity, human capital accumulation and the improvement of government governance. The effects of the digital economy are larger in countries with higher and lower levels of agricultural development, significant in middle-income countries, and insignificant in low-income countries. This study may provide a better understanding of the nexus between digital economy and agricultural development, and offer valuable insights for governments in developing nations to formulate relevant and effective policies.

The Influence of Macroeconomic Factors on the Export of Cereal Crops in Foreign Trade Activities Individual Countries

Aims: The aim is to analyze the impact of macroeconomic factors on the dynamics of realizing the foreign trade potential of companies based on vector autoregression and the formation of strategic priorities for the companies’ economic activities. Methods: The research methodology is based on the application of methods of time series analysis and impulse response functions. The Granger causality test was used for the linear causal relationship between the analyzed indicators. The study used statistical data for the period 2001–2020 in the annual section of the World Bank Trade Map portal. Results: It is shown that the innovative development of the country contributes to an increase in non-raw material trade with countries geographically close to its borders. It was revealed that the level of agricultural development of the importing country influences the import of cereals with a lag effect of 3–4 years. Justified: The intensification of export-import operations contributes to the development of the production potential of countries as a whole, creating great potential for enhancing the economic activity of agricultural companies and creating incentives for the development of the economies of the country's regions. It has been determined that the foreign trade system is an equilibrium system that returns to a stable state 2-3 years after the shock impact of exogenous and endogenous factors. Novelty: The novelty of the study lies in the assessment of the dynamic impact of the shock impact of exogenous and endogenous factors on macroeconomic indicators, taking into account the specifics of the foreign trade turnover of countries. Conclusion: The results of the study can be used to develop a strategy for the development of foreign trade activities, including grain crops for both countries, to realize more reliable forecasting of foreign economic transactions with a lag of 3-5 years. Doi: 10.28991/HEF-2023-04-04-08 Full Text: PDF

Integrated assessment of agricultural development in the region: Taxonomic analysis of trends

Subject. Agricultural development is a result of many factors, i.e. economic, environmental, social, and food ones, being of decisive importance. The influence of a particular factor is difficult to assess because of its incommensurability and multi-vector impact. Hence, it is advisable to assess their impact on the industry, using the taxonomic analysis. Objectives. The study aims to assess the level of regional agriculture development in the context of economic, environmental, social, and food components. Methods. I apply general scientific (analysis, synthesis, formalization, analogy, comparison) and special (statistical, taxonomic) methods of research. Results. To obtain a comprehensive assessment of agriculture development, I applied the taxonomy method. It allows to systematize and analyze the indicators of industry development, integrating them into a single economic result. Taxonomic indicators of the level of agricultural development, representing the "synthetic" value of uniformly acting all components (economic, environmental, food, and social), helped determine the potential for industry development, identify changes in dynamics, and bottlenecks that most significantly affect changes in the studied indicator. Conclusions. The studies based on the use of taxonomic analysis tools enabled to conclude that the general trend in regional agriculture development is driven by the dominant influence of economic and social components. The pace of development is slowed down by many environmental and food challenges of long-term impact. The identified trends and appropriate solution to environmental, social, and food problems are fundamental priorities in the formation of a new concept for agricultural development in the region.

Sentinel-2 water indexes application for the underground water level analyses in Ovidiopol area of Odessa region

Studied area has a high level of agricultural development. There are different irrigation and drainage systems located there. Significant part of the supplied water losses from the irrigation network because of filtration and reaches the groundwater level, which begins to rise. Control and analyses of groundwater level changes with remote sensing methods for Ovidiopol area is the main goal of that work. The object of study is the groundwater level regime in the territory of Lower Dniester irrigation system in Ovidiopol district, Odessa region. The subject of research is water indexes application for analyses of groundwater level changes. The local system of groundwater observation includes 7 drillholes in Nadlimanskoe village and around. These drillholes located in different geomorphological, hydrogeological and technogenic conditions. The groundwater level was surveyed monthly in 2017. Sentinel-2 2A images for each month from March 2017 to December 2017 were used for studied area. All satellite images has atmospheric correction. Three water indexes NDWI, MNDWI, NDPI were calculated for drillhole points for each month in 2017 year. Significant correlation coefficients obtained in comparison between groundwater level changes and water indexes in some drillholes points. The highest numbers of correlation connected with free of construction areas and for drillholes, which are located outside of villages.

Quantitative Assessment of Spatial–Temporal Characteristics of Agricultural Development Level in China: A County-Level Analysis

Main Functional Area Planning (MFAP) is a significant initiative in China, aimed at promoting coordinated socio-economic progress while ensuring resource capacity and environmental sustainability. However, there is a lack of quantitative assessments of China’s county-level agricultural development level (ADL) following the implementation of the MFAP. In this study, a coupled “agricultural product-agricultural space-agricultural population” evaluation index system which was based on plan requirements, remote sensing imagery, statistical data, and industry-specific information was proposed for assessing the development level of agricultural after implementing the MFAP, and we utilized the system to evaluate the ADL of 2850 counties across China from 2009 to 2015 at the county level. The results indicate that MFAP has played a positive role in driving agricultural development in China. From 2009 to 2015, the ADL of counties in China showed an upward trend, and the agricultural development within the “Seven regions & Twenty-three belts” reached a high level, with the proportion of the top three districts and counties in the agricultural development zone increasing from 86.78% to 88.72%. The spatial distribution of ADL ratings shows a central > east > northeast > west pattern, with the western regions exhibiting the fastest growth rate. Moreover, targeted policies were provided for pathway optimization and upgrading the level of agricultural development of regions with different levels of development within the seven main agricultural production areas and others.

Leadership in Agriculture: Artificial Intelligence for Modelling and Forecasting Growth in the Industry

The paper investigates the growth rates of agriculture as one of the leading industries, which serves as a catalyst for economic development and is intended to provide the population with food products and industry with raw materials. The main aim of the conducted research is to analyze the impact of agricultural reforms on the agricultural growth rates in Algeria. The systematic analysis of literary sources and methods of addressing the problem of agricultural growth indicates the existence of socio-economic, political, and institutional inhibitors of effective agricultural reclamation of the agricultural sector. Five inputs were used as parameters characterizing the development of the agricultural industry. These are the volume of agricultural financing, the volume of exploited agricultural area, the volume of developed agricultural machinery, the volume of agricultural labor, and the rural level of agricultural growth. Forecasting indicators of the development of the agricultural industry was carried out using the methods of min max scaler tool, ReLU, and RMSE. A machine learning model from the Python language built the artificial neural network model. The statistical data of the Ministry of Finance and Agriculture and the World Bank served as the information base for the study of the relationship between the amount of adopted and implemented agrarian reforms. The link between the number of agrarian reforms adopted and expressed was investigated using data from several areas of statistics, the Ministry of Finance and Agriculture, and the World Bank. The modelling results proved the positive influence of bank financing, the volume of exploited agricultural areas and the number of the population employed in agriculture on the growth rates of agriculture in Algeria in the long term. An increase in agricultural mechanization by one unit (tractors and agricultural equipment per 100 km2) contributes to the growth of indicators of agricultural development by 0.21%, and an increase in the number of people employed in agriculture per million will lead to a rise in the level of agricultural development by 12 %. Thus, the results of econometric modelling proved the positive impact of agricultural reforms on the development of agriculture after 2022. It contributes to the increase in the level of employment of the population and, ultimately, will have a positive effect on the future rate of economic growth in Algeria.

Dynamic characteristics of net anthropogenic phosphorus input to the upper Yangtze River Basin from 1989 to 2019: Focus on the phosphate ore rich area in China

Phosphorus (P), a non-renewable essential resource, faces heavy exploitation and contributes to eutrophication in aquatic environments. Assessing P input is vital for a healthier P cycle in the Upper Yangtze River (UYR), a phosphate ore rich basin, where P mining and P chemical enterprises have prominent pollution problems. This study modified the net anthropogenic phosphorus input (NAPI) model to include ore mining P input (Pore). We analyzed the evolutionary characteristics of P input in five sub-basins of UYR from 1989 to 2019 using prefecture-level data, and assessed the uncertainty of the data. NAPI in all sub-basins exhibited an upward and then downward trend during 1989–2019, with the inflection point occurring in 2015 or 2016, showing a net increase of about 1.1 times (568–1162 kg P km−2 yr−1) in the whole UYR basin. Among the components of NAPI, P fertilizer inputs (Pfer) and food/non-food and feed P inputs (Pf/nf&feed) contributed comparably, though the growth rate of Pfer was most notable basin-wide. Pore proportion increased significantly (about 3-fold), with a peak of 20%, especially in Wujiang sub-basin. The multi-year (1989–2019) average NAPI in UYR rose sequentially from west to east, with hotspot areas mainly concentrated in the Sichuan-Chongqing urban agglomeration and cities of Hubei province. The regional P input closely related to the population density and the level of agricultural development, certainly the phosphate mining was also unignorable. This study emphasizes that based on current status of NAPI development in UYR, targeted management for different regions should focus on improving agricultural P use efficiency and rational exploitation of P mineral resources.

Accounting for and Comparison of Greenhouse Gas (GHG) Emissions between Crop and Livestock Sectors in China

The synergistic greenhouse gas (GHG) emission reduction of the crop production (CP) and livestock farming (LF) sectors is of great significance for food security and low-carbon development, especially for China, the world leader in agricultural production. In this paper, the GHG emissions from the CP and LF sectors are accounted for and compared, and the spatial econometric model is adopted for comparative study based on the panel data from 1997 to 2021. The results show that: (1) The total amount and intensity of GHG emissions from both sectors showed obvious spatial heterogeneity and spatial dependence, and the spatial distribution pattern was relatively stable. (2) The influence of each factor on the GHG intensity and spatial characteristics of CP and LF varies widely. For the CP sector, economic development (local effect −0.29, adjacent effect +1.13), increased urbanization rate (−0.24, +0.16), agricultural structure (−0.29, +0.05), and urban-rural disparity (−0.03, +0.17) all reduce the GHG intensity of local region, while increasing the GHG intensity of its adjacent areas, signifying leakage. The economic structure (+0.06, +0.16), agricultural finance support (+0.02, +0.26), mechanization level (+0.05, +0.03), and land occupancy rate (+0.54, +0.44) all play a role in increasing the GHG intensity of CP in the local region and its adjacent areas. The disaster degree (−0.03, −0.03) also reduced the GHG intensity of CP. For the LF sector, economic structure (+0.08, +0.11), urban-rural disparity (+0.11, +0.21), agricultural development level (+0.03, +0.50), and increased land occupancy rate (+0.05, +0.01) can improve the GHG intensity of the one region and adjacent areas. Economic development (+0.03, −0.15), urbanization rate (+0.04, −0.30), agricultural structure (+0.09, −0.03), and disaster degree (+0.02, −0.06) can increase the GHG intensity of the local region while reducing the GHG intensity of adjacent areas. Based on the results, under the background of carbon peaking and carbon neutralization(dual-carbon) goals, this study first puts forward collaborative emission reduction measures for CP and LF, respectively, then further rises to sector synergy and regional synergy, and constructs the countermeasure system framework of collaborative emission reduction from three levels, to provide guidance and reference for the realization of dual goals of agricultural GHG reduction and food security.

Classification of Russian Regions by the Level of Agricultural Development in 2019–2021

The urgency of improving mathematical and statistical tools for analyzing agricultural complex across the territories of our country depends on the gravity of the issue of interregional differentiation of the scale of development of agricultural production, which plays a crucial role in the implementation of the Food Security Doctrine of the Russian Federation.The introductory part of the article presents an overview of the literature on food security issues, an analysis of the current state of domestic agriculture, and directions for its development. The body of the article explains the research methodology, which allows to classify, first andforemost, agricultural regions (indicating their territorial location, socio-economic characteristics, and predictive characteristics). As an indicator of the intensity of agricultural development in the regions, the authors used the volume of agricultural production per capita, which became a criterion for selecting 25% of the regions with the maximum values of this indicator. That said, by an agro-region (or agricultural region) is meant a region that produces more agricultural production than needed and exports its surplus outside the region or country (food exports). In the multidimensional classification of agro-regions, three clusters are determined (according to the level of socio-economic development, the development efficiency of the economic activity «Agriculture, forestry, hunting, and fishing», and the volume of crop and livestock production). The paper analyses the dynamics and predictive characteristics of the development of the cluster-average volume of agricultural production per capita (including crop production and animal husbandry). An analysis of the dynamics of exports of food products and agricultural raw materials per capita by clusters revealed that the regions of the first cluster are the most actively developing, and the regions of the third cluster (with the most developed animal husbandry) are oriented towards domestic consumers.According to the authors, during the analyzed period in Russia, there was a positive trend in the development of agriculture, with the development of agro-regions outpacing all-Russian trends. The highest development rates are typical for agro-regions with a balanced development of crop and livestock production (regions of the first cluster).

Development Model of Agriculture + Travel Industry Integration in the Context of Big Data Explore: A case study from Huyi District, Xi'an

INTRODUCTION: The new industrial model of agriculture + tourism has been developed for quite some time, however, in the rapid development of information technology, especially the algorithm is further integrated into the agriculture and tourism industry, this fusion industry has ushered in a new round of development opportunities, but with the development of human society, the traditional model of agriculture and tourism will be gradually eliminated.
 OBJECTIVES: This paper is aimed at developing the regional needs of agriculture + tourism industry, using advanced big data technology and algorithmic technology to follow the pace of the times, in-depth understanding of the current social needs of agriculture + tourism, so as to better develop their own industries.
 METHODS:Through the algorithmic technology to analyze the agro-tourism model that is currently being developed in Xi'an, to analyze the problems that arise in the process of its development, and to use the background of big data and clustering algorithmic technology to put forward the corresponding targeted improvement strategies.
 RESULTS: Utilizing Shuangyi District in Xi'an City as a case study to apply the theory and explore new development paths.
 CONCLUSION: Shuangyi District, Xi'an City, is rich in soil and water resources, so it has a high level of agricultural development and a favorable geographic location, and also has a huge potential market in tourism. With the support of big data technology, the analysis of the current market demand and the development of local natural and human resources on the basis of maximizing the preservation of the original ecology can promote the development of the local economy.

The impact of digital economy on green development of agriculture and its spatial spillover effect

PurposeBy discussing the spatial spillover effect and regional heterogeneity of digital economy and green agricultural development level, this paper aims to provide countermeasures and suggestions for the better development of green agriculture in the contemporary era when digital economy is universally developed and at the same time provide development suggestions suitable for green agriculture's development characteristics and initial conditions for different regions.Design/methodology/approachThis paper discusses the theoretical foundation of the digital economy and green agriculture development and utilizes panel data from 30 provinces in China from 2011 to 2018. By employing the Super-Efficiency Slack-based Measure and Malmquist-Luenberger (SBM-ML) model based on unexpected output to measure the total factor productivity of green agriculture and employing the spatial panel Durbin model to empirically test the spatiotemporal effects of the digital economy on green agriculture development from both temporal and spatial dimensions. Finally, the model is tested for robustness as well as heterogeneity.FindingsThe research findings are as follows: First, from the perspective of time effect, digital economy has a continuous driving effect on the development of green agriculture and with the passage of time, this effect becomes more and more prominent; second, from the perspective of spatial effect, digital economy has a significant positive impact on the development of local green agriculture, while digital economy has a significant negative impact on the development of surrounding green agriculture. Finally, the impact of digital economy on the development of green agriculture shows significant differences in different dimensions and regions.Originality/valueAs an important driver of economic growth, the digital economy has injected new impetus into agricultural and rural development. Along with the intensifying environmental pollution problems, how to influence the green development of agriculture through the digital economy is a proposition worthy of attention nowadays. This paper analyzes the relationship between the digital economy and agricultural green development in multiple dimensions by exploring the temporal and spatial spillover effects of the digital economy on agricultural green development, as well as the heterogeneity in different dimensions and in different regions and derives policy insights accordingly in order to improve relevant policies.

Does financial development matter the accomplishment of rural revitalization? Evidence from China

Finance is an indispensable part of economic development. Financial development not only supports the implementation of China's Rural Revitalization strategy but also determines the development of economic growth. For this reason, it is important to explore the impact financial development has on rural revitalization. Using panel data taken from thirty provinces in China, during the period of 2011–2020, this paper analyzes the intermediary effect and the relationship between three factors: financial development, agricultural development, and rural revitalization. The paper's findings demonstrate, firstly, that rural revitalization is a long-term and sustainable process, and the development of rural revitalization in the current period will be affected by the previous development level of rural finance but, nevertheless, urbanization development and the tourism development have significantly inhibited the promotion of the rural revitalization. Secondly, financial development could promote rural revitalization, which differs significantly between different regions, and the allocation and the structure of financial resources need to be optimized further. Thirdly, financial development would directly promote rural revitalization and development, and the impacts financial development has on the five components of rural revitalization are different. Then lastly, financial development can indirectly promote rural revitalization and development by improving agricultural production levels. Agricultural modernization plays a crucial “bridge” here. This paper concludes with several policy suggestions for optimizing the allocation of financial resources, improving the financial system, and improving the level of agricultural development for furthering rural revitalization. This paper's study significantly furthers the understanding and the literature on the rural economy, rural revitalization, and sustainable development in China.

Regional Disparities in Agriculture Development in Haryana during Post Liberalisation Era

The main objective of the present study was to examine the district-level regional disparities in the agriculture development of Haryana. The study computed an agricultural development index using the Wroclaw taxonomic method, selecting 23 key agricultural indicators. The finding confirmed that the agricultural disparities had widened over the period in Haryana, where Yamuna Nagar and Kurukshetra districts had a high level of agricultural development. In contrast, Mahendragarh, Nuh, Rewari, and Bhiwani lagged in agricultural development. In addition, northern Haryana was prosperous in agricultural development, except for Panchkula and Panipat districts and the southern state had fallen behind in agricultural development, except for Palwal and Faridabad. The government should focus on lagging indicators in low and low-middle-developed districts to achieve balanced regional development

Development of the dairy cattle breeding economy at the municipal level: Problems and trends

Subject. This article discusses the role of dairy cattle breeding in raising the level of agricultural development of the Udmurt Republic. Objectives. The article aims to systematize the processes of transformation of the dairy cattle breeding economy at the municipal and regional levels. Methods. For the study, we used the methods of economic analysis. Results. The article finds that dairy cattle breeding is one of the fast developing sectors of the economy in some regions of the Udmurt Republic, but there is a slowdown in the development of the industry in most regions of the Republic. The article reveals the main reasons for this decline. Conclusions. The bulk of State funding to support agriculture should be allocated to develop production infrastructure and projects implemented on the principles of public-private partnership.

Semantic and structural challenges of translating modern English agro-engineering terminology into Ukrainian

The study analyzes semantic and structural peculiarities of translating modern English agro-engineering terminology. Agro-engineering terms represent the up-to-date level of agriculture development noted for advanced mechanization, application of various technical processes, new technologies, etc., this causing additional translation problems. Besides, agricultural terminology encapsulates field-specific lexis as well as mathematical, mechanical, biological and general scientific terms. Translation difficulties are closely related to lingual characteristics of agro-engineering terms (structural peculiarities, synonymy, homonymy). Playing a significant role in forming this segment of professional lexicon, multi-component units are difficult to translate due to their length and non-prepositional bonds in most cases. The main research methods include comparative and contrastive analysis as well as the quantitative method. The results obtained reveal that a variety of techniques applied to translating English agro-engineering terms into Ukrainian include equivalence, analogue, descriptive techniques, transliteration, grammatical and lexical transformations. Yet, the most frequent technique is equivalence. Application of different translation techniques in multicomponent phrases can cause inconsistences in the number of components in a terminological phrase in a target language. The authors suggest an algorithm of English-Ukrainian translation of agro-engineering multicomponent terms. The paper is intended for a wide range of specialists interested in translating agro-engineering texts, teaching ESP, students of translation departments and experts in the relevant field of knowledge.

Digital inclusive finance & the high-quality agricultural development: Prevalence of regional heterogeneity in rural China.

Developing digital inclusive finance is one of the most effective ways to alleviate financial exclusion in the agriculture sector. For empirical investigation, data from 30 provinces of Rural China is collected from the period 2011 to 2020. The study constructs five dimensions and 22 indicators in total to critically conduct the impact of digital inclusive finance on high-quality agricultural development. The level of agricultural development is measured by entropy weight TOPSIS, and the impact of digital inclusive finance on its high-quality development is empirically tested. The results show that digital inclusive finance has significantly improved the agricultural sector and, particularly, the Eastern region of China has the greatest impact. Three dimensions of digital inclusion finance have regional heterogeneity in terms of impact on agricultural development in Rural China. Data does not show the simple linear relationship between digital inclusion finance and agricultural development quality. The impact of the former on the latter is characterized by the double thresholds. The digital inclusive finance index is the weakest when it is lower than the first threshold that is 4.7704, and the impact of the second threshold that is 5.3186 on high-quality agricultural development is gradually enhanced. After crossing the second threshold, the impact of digital inclusive finance on high-quality agricultural development in Rural China is significantly enhanced. The development of digital inclusive finance should be strengthened in the Central and Western regions to compensate for regional financial imbalances and promote synergy in the high-quality development of agriculture across the country.

To Study the Levels of Agricultural Development in Sangli District: A Geographical Analysis

To Study the Levels of Agricultural Development in Sangli District: A Geographical Analysis