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中国农业农村数字经济发展水平的时空格局及收敛性检验 被引量:3

Spatiotemporal Pattern and Convergence Test of the Development Level of China’s Agricultural and Rural Digital Economy
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摘要 文章基于2014—2020年中国30个省份的面板数据,运用变异系数、泰尔指数等方法探讨中国农业农村数字经济发展水平的时空格局和区域差异,并运用空间杜宾模型检验其收敛性。结果显示,样本考察期内,中国农业农村数字经济发展水平逐步提升,但存在显著的区域不平衡性,呈东部地区>中部地区>西部地区、粮食主销区>粮食主产区>粮食产销平衡区的分布格局;虽然中国农业农村数字经济发展水平的空间绝对差异呈扩大趋势,但相对差异在不断缩小,且主要来自区域内部,区域间差异的贡献率较小;中国农业农村数字经济发展水平存在绝对β收敛和条件β收敛。 Based on the panel data of 30 provinces in China from 2014 to 2020,this paper uses the methods of coefficient of variation and Theil index to explore the spatial and temporal pattern and regional differences of the development level of agricultural and rural digital economy in China,and then adopts the spatial Durbin model to test its convergence.The results go as below:During the sample study period,the development level of China’s agricultural and rural digital economy has gradually increased,but there is a significant regional imbalance,showing a distribution pattern of the eastern region>the central region>the western region and main grain-consuming area>main grain production area>areas where food production and sales are balanced.Although the spatial absolute difference of the development level of China’s agricultural and rural digital economy is expanding,the relative difference is shrinking,and it mainly comes from the region,and the contribution rate of inter-regional differences is small.There are absolute β convergence and conditional β convergence in the development level of China’s agricultural and rural digital economy.
作者 台德进 蔡荣 Tai Dejin;Cai Rong(School of Food and Strategic Reserves,Nanjing University of Finance and Economics,Nanjing 210003,China;School of Economics and Management,Chuzhou University,Chuzhou Anhui 239000,China)
出处 《统计与决策》 北大核心 2023年第15期63-68,共6页 Statistics & Decision
基金 国家自然科学基金面上项目(72173060,71773044) 江苏省“青蓝工程”资助项目(2022) 南京财经大学博士研究生专项课题(BSZX2022-09)。
关键词 数字经济 农业农村 时空格局 区域差异 收敛性 digital economy agriculture and rural areas spatiotemporal pattern regional differences convergence
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