Multidimensional spatial inequality in China and its relationship with economic growth

Haimeng Liu, Liwei Wang, Jinzhou Wang, Hangtian Ming, Xuankuang Wu, Gang Xu and Shengwu Zhang ()
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Haimeng Liu: Chinese Academy of Sciences
Liwei Wang: National Development and Reform Commission of China
Jinzhou Wang: Wuhan University
Hangtian Ming: Wuhan University
Xuankuang Wu: Wuhan University
Gang Xu: Wuhan University
Shengwu Zhang: Anhui University of Finance and Economics

Palgrave Communications, 2024, vol. 11, issue 1, 1-13

Abstract: Abstract Spatial inequality erodes social cohesion and political stability, impacting global sustainable development and human well-being. This study examines spatial inequality in China across economic, social, environmental, infrastructural, and innovation dimensions, exploring how these inequalities evolve with economic development. Drawing on the Sustainable Development Goals and Chinese planning goals, we selected 13 indicators pertinent to human well-being. We employed the population-weighted coefficient of variation, Gini coefficient, and Moran’s I to assess spatial inequalities and analyzed their relationship with economic growth. The findings reveal that China currently exhibits the highest spatial inequality in innovation and the lowest in the social dimension. Since 1990, most indicators have trended towards decreasing spatial inequality, except for unemployment rates and carbon emissions, which have increased. The economic and innovation gap between the eastern coastal regions and the central and western regions has widened, whereas disparities in housing, healthcare, roads, and digitalization have narrowed. China’s experience demonstrates that Williamson’s inverted U-shaped hypothesis extends beyond the economic domain to encompass education, healthcare, infrastructure, and digitalization, providing policy insights for addressing regional inequalities in China in the post-pandemic era.

Date: 2024
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DOI: 10.1057/s41599-024-03961-y

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