Abstract
This paper used the sectional data of Chinese counties to analyze the spatial distribution characteristics of sustainable development of e-commerce for agricultural products in China at the county-level. The standard deviation ellipses and Moran’s index were used to research this subject. Then, by constructing spatial measurement models, the spatial spillover effects and influencing factors of the development of county-level agricultural products e-commerce were analyzed from economic development, economic structure, economic vitality, and agricultural development. The results show that: (1) the top 100 counties of agricultural products e-commerce mainly concentrate in southeastern China, spreading along the northeast and southwest; (2) the county-level agricultural products e-commerce shows significant negative spatial spillover effects; (3) the level of economic development and public services have a positive impact on the development of county-level agricultural products e-commerce, while the level of industrial development shows a negative correlation; (4) the level of agricultural development and industrial development have a significant negative external effect on the development of agricultural products e-commerce. This study is of great significance to promote the sustainable development of agricultural products e-commerce, the process of rural urbanization and the optimization of county industrial patterns.
Highlights
Published: 8 June 2021Nowadays, e-commerce has become an important channel for the circulation of global commodities
Based on the geographic coordinates of the top 100 counties of agricultural products e-commerce sales volume which were published in 2018 and 2019 in the Report on the Development of Nationwide Digital Agriculture and Rural E-commerce in Counties, the standard deviation ellipse of the top 100 counties’ distribution in the past two years were drawn by ArcGis
Taking the ratio of agricultural products e-commerce sales volume of each county to the value added of the primary industry as the dependent variable, the economic development level factor f 1, agricultural development level factor f 2, industrial structure factor f 3, industrial development level factor f 4, and public service-level factor f 5 are the independent variables
Summary
E-commerce has become an important channel for the circulation of global commodities. In 2019, the sales volume of agricultural products e-commerce in China was. The huge population of China provides enough consumers to assist the standardized development of the agricultural products e-commerce market. Chinese e-commerce of agricultural products is in a period of stable growth, which can be used for reference by other countries, especially countries dominated by agriculture. Since 2015, the Chinese government has issued several policies to promote the development of rural e-commerce [2]. Encouraged by various measures, e-commerce of agricultural products has developed rapidly and contributed to poverty alleviation. In 2019, the online retail sales of agricultural products in China’s counties was 269.31 billion yuan that is a 28.5% increase compared with the last year. The total sales amount of 823 poverty-stricken counties is 19.08
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