基于2013—2020年省级面板数据，从数字化经济环境、数字化基础设施、农业数字化转型、生活数字化提升四个维度选取22个变量，运用熵值法、Dagum基尼系数、Kernel密度估计法和Moran′s I指数测度中国31个省份的乡村数字经济发展水平，分析其区域差异及时空演变特征。结果表明：研究期内，中国乡村数字经济发展水平整体偏低但呈上升态势，空间上呈现“东高、中次、西低”的分布格局，但西部地区“追赶效应”显著；区域相对差异持续缩小，但绝对差异呈扩大态势，全国及东部地区出现了“极化现象”，区域间差异是构成总体差异的主要根源；区域间呈现鲜明且稳定的空间正相关性，东部省份主要落在“高—高”集聚区，而中部、西部、东北地区大部分省份落在“低—低”集聚区。

Based on the provincial panel data from 2013 to 2020 and by utilizing 22 variables selected from four dimensions of digital economic environment, digital infrastructure, digital transformation of agriculture, and digital improvement of life, the development level of rural digital economy in 31 provinces in China has been measured and its regional difference and spatial-temporal evolution have been analyzed by using entropy method, Dagum Gini coefficient, Kernel density estimation method and Moran’s I index. The results show that during the study period, the development level of China’s rural digital economy was generally low but showed a rising trend, with a spatial distribution pattern of “high in the east, second in the middle, and low in the west”, but the “catch-up effect” in the western region was significant; regional relative differences continued to shrink while the absolute difference was expanding, and a “polarization phenomenon” appeared in the whole country and the eastern region. The difference between regions is the main source of the overall difference. There is a clear and stable positive spatial correlation between different regions, and the eastern provinces are mainly in the “high-high” agglomeration area while most provinces in the central, western, and northeastern regions fall into the “low-low” agglomeration area.

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