Hao, H.; Liu, C.; Xin, L. Measurement and Dynamic Trend Research on the Development Level of Rural Industry Integration in China. Agriculture2023, 13, 2245.
Hao, H.; Liu, C.; Xin, L. Measurement and Dynamic Trend Research on the Development Level of Rural Industry Integration in China. Agriculture 2023, 13, 2245.
Hao, H.; Liu, C.; Xin, L. Measurement and Dynamic Trend Research on the Development Level of Rural Industry Integration in China. Agriculture2023, 13, 2245.
Hao, H.; Liu, C.; Xin, L. Measurement and Dynamic Trend Research on the Development Level of Rural Industry Integration in China. Agriculture 2023, 13, 2245.
Abstract
China is a traditional agricultural country, and the integration of rural industries has become an essential policy direction for the current strategy of agricultural modernization in China. In recent years, the agricultural industrial chains across various regions of China have consistently expanded and extended. The multifunctionality of agriculture is continuously unearthed, and the principal entities managing agriculture have become increasingly diversified and have grown significantly. New industries and forms in agriculture emerge incessantly. Accurately and profoundly understanding the inherent features of the integration of industries in rural China, establishing a scientific and rational measurement index system in line with the current status and development goals of rural China, and employing appropriate measurement methods to assess its development level and process, is instrumental in comprehending the level of integrated development in various regions. This aids in identifying challenges in the developmental process and proposing targeted developmental strategies. Hence, this paper, rooted in the integration of rural industries, cross-industry, industry extension, industry agglomeration, and industry penetration, sets up an measurement index system. Using provincial panel data from 2011 to 2020, the paper measures the level of integrated development in rural industries across China and its 31 provinces. Based on the measurement results, further techniques such as kernel density estimation and Gini coefficient decomposition have been used to analyze the spatial distribution characteristics and dynamic trends of the integrated development of rural industries in China. Research indicates that during the sample period, the overall level of integrated development in rural industries in various provinces in China has shown an upward trend. Development among the eastern, central, and western regions is highly uneven, but this disparity has been gradually narrowing in recent years. Furthermore, the levels of integrated development in different provinces exhibit significant spatial agglomeration effects. The development level of neighboring regions significantly impacts the province's development status. In the process of integrated development of rural industries in China, there's a trend where "it's easier to downgrade than to upgrade," with very few regions achieving leapfrog development.
Keywords
integration of rural industries; development level measurement; regional disparities; dynamic trend
Subject
Business, Economics and Management, Economics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
