【摘要】 基于2013—2022年我国省域面板数据，从投入产出角度构建数字经济发展指标体系，运用熵值法测算各省域数字经济发展水平，并通过泰尔指数分析东、中、西部地区差异，结合Zipf法则和Gibrat法则，探究我国数字经济空间等级结构演化特征。研究发现，我国数字经济发展水平呈现显著的东西梯度差异，但区域差距呈缩小趋势，差异来源已由“区间主导”转向“区内主导”,其中东部地区内部差异最大；我国数字经济规模分布符合Zipf法则，中低位次省份发展加快，区域协调政策初见成效，但东部集中度增强，而中西部波动上升，分散程度更高。Gibrat法则检验揭示增长率与初始规模的关系具有显著时空异质性：2013—2015年，东部中小规模省份增长更快，中西部大规模省份增长更快；2016—2019年，全国仍呈“小而快”趋势，东部中小规模省份继续引领，中西部依赖大规模省份带动；2020—2022年，东部转为大规模省份增长更快，呈现“马太效应”,中西部则转为中小规模省份增长更快，受益于数字化应用普惠普及。综合来看，数字经济发展空间优化需要精准调控。更多还原

【Abstract】 Based on China’s provincial panel data from 2013 to 2022, this study constructs a digital economy development index system from an input-output perspective. The entropy method is used to measure the digital economy development level of each province, the Theil index is applied to analyze the regional differences among the eastern, central and western regions, and Zipf’s law and Gibrat’s law are combined to explore the evolutionary characteristics of the spatial hierarchical structure of China’s digital economy. The findings reveal that there is a significant east-west gradient difference in China’s digital economy development level, but the regional gap is narrowing. The source of disparity has shifted from “inter-regional” to “intra-regional” dominance, with the eastern region exhibiting the largest internal disparity. The scale distribution of China’s digital economy follows Zipf’s law: medium-and low-ranked provinces are developing faster, indicating initial success of regional coordination policies. However, the concentration of the digital economy is increasing in the eastern region, while the central and western regions show fluctuating increases with higher dispersion. The Gibrat’s law test reveals significant spatio-temporal heterogeneity in the relationship between growth rate and initial scale. During 2013 to 2015, small-and medium-scale provinces grew faster in the eastern region, while large-scale provinces grew faster in the central and western regions. During 2016 to 2019, the national trend remained “small but fast”, with small-and medium-scale provinces in the east continuing to lead, while the central and western regions still relied on large-scale provinces to drive growth. During 2020 to 2022, the eastern region shifted to faster growth of large-scale provinces, showing a “Matthew effect”, whereas the central and western regions turned to faster growth of small-and medium-scale provinces, benefiting from the inclusive popularization of digital applications. In summary, precise and targeted regulation is needed to optimize the spatial development of the digital economy.更多还原