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<p>The rapid expansion of the digital economy has emerged as a significant potential force influencing the urban–rural income gap. Despite this, a unified framework for assessing the interplay between these two phenomena remains elusive, and the depth of the digital economy’s influence on the urban–rural income gap has yet to be thoroughly examined. This study introduces a multidimensional evaluation system for the digital economy, encompassing aspects such as industry digitization, digital industrialization, and digitalization application. Concurrently, Considering the sharing characteristics of public resources in China’s provincial, the extreme difference of provincial urban–rural income is used to express the urban–rural income gap. The panel data of 31 provinces from 2011 to 2020 are selected as samples to explore the spatial effect, response relationship and convergence-divergence characteristics of the impact of digital economy on extreme difference of provincial urban–rural income. The results are as follows: (1) There are spatial differences between the development of digital economy and the extreme difference of urban–rural income, and they have mutual impact in the process of development, but over time, the impact gradually converges. (2) The local spatial configuration of the digital economy and the extreme difference of urban–rural income exhibits stability, with minimal fluctuations, and interprovincial correlations are observable. (3) The influence of the digital economy on the extreme difference of provincial urban–rural income manifests absolute β-convergence in the Eastern and Central regions of China. Upon controlling for economic development levels, openness, and financial development, conditional β-convergence is identified, with the convergence rate following the order: Central &gt; Eastern &gt; Western. (4) In specific regions such as the provinces of Heilongjiang and Xinjiang, industry digitization contributes to the reduction of the extreme difference of provincial urban–rural income. On the national scale, digital industrialization and digitalization application positively affect the mitigation of extreme difference of urban–rural income. These findings offer crucial insights for regional development strategies and policy formulation and provide a novel lens through which to investigate the spatiotemporal evolution of the digital economy’s impact on the urban–rural income gap.</p>

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An empirical analysis of the impact of China’s multidimensional digital economy on the extreme difference of provincial urban–rural income

  • 期刊论文

  • 发表日期：

    2025年1月13日

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  • Ruici Xia,
  • Jian Yin,
  • Xinyuan Luo,
  • Danqi Wei,
  • Hongtao Jiang,
  • Yi Ding,
  • Yini Meng,
  • Xiyue Tu

摘要

The rapid expansion of the digital economy has emerged as a significant potential force influencing the urban–rural income gap. Despite this, a unified framework for assessing the interplay between these two phenomena remains elusive, and the depth of the digital economy’s influence on the urban–rural income gap has yet to be thoroughly examined. This study introduces a multidimensional evaluation system for the digital economy, encompassing aspects such as industry digitization, digital industrialization, and digitalization application. Concurrently, Considering the sharing characteristics of public resources in China’s provincial, the extreme difference of provincial urban–rural income is used to express the urban–rural income gap. The panel data of 31 provinces from 2011 to 2020 are selected as samples to explore the spatial effect, response relationship and convergence-divergence characteristics of the impact of digital economy on extreme difference of provincial urban–rural income. The results are as follows: (1) There are spatial differences between the development of digital economy and the extreme difference of urban–rural income, and they have mutual impact in the process of development, but over time, the impact gradually converges. (2) The local spatial configuration of the digital economy and the extreme difference of urban–rural income exhibits stability, with minimal fluctuations, and interprovincial correlations are observable. (3) The influence of the digital economy on the extreme difference of provincial urban–rural income manifests absolute β-convergence in the Eastern and Central regions of China. Upon controlling for economic development levels, openness, and financial development, conditional β-convergence is identified, with the convergence rate following the order: Central > Eastern > Western. (4) In specific regions such as the provinces of Heilongjiang and Xinjiang, industry digitization contributes to the reduction of the extreme difference of provincial urban–rural income. On the national scale, digital industrialization and digitalization application positively affect the mitigation of extreme difference of urban–rural income. These findings offer crucial insights for regional development strategies and policy formulation and provide a novel lens through which to investigate the spatiotemporal evolution of the digital economy’s impact on the urban–rural income gap.