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<p>Income disparity is generally more pronounced in resource-based cities compared to non-resource-based counterparts due to various factors. However, research on the geographical distribution and determinants of income gaps within resource-based cities remains limited. This study utilizes the Theil index to quantify income disparities and employs Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) methods to analyze their evolution and contributing factors. The findings indicate that (1) income disparity in China’s resource-based cities is concentrated, with high-high (H-H) concentrations predominantly located in specific regions, while the high-low (H–L) distribution is primarily observed in Ganzhou, which demonstrates a consistent annual decline; (2) Regarding the influencing factors, this paper examines urbanization levels, economic development status, industrial structure, fiscal decentralization, and government governance. Notably, while urbanization levels contribute to reducing the income gap, the effects of fiscal decentralization and industrial structure are increasingly significant, exhibiting spatial heterogeneity.</p>

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Spatial evolution and influencing factors of income gap in resource-based cities based on GWR

  • 期刊论文

  • 发表日期：

    2025年5月30日

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  • Huilin Xia,
  • Yiming Guan,
  • Hongyan Pan,
  • Yuchi Shen

摘要

Income disparity is generally more pronounced in resource-based cities compared to non-resource-based counterparts due to various factors. However, research on the geographical distribution and determinants of income gaps within resource-based cities remains limited. This study utilizes the Theil index to quantify income disparities and employs Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) methods to analyze their evolution and contributing factors. The findings indicate that (1) income disparity in China’s resource-based cities is concentrated, with high-high (H-H) concentrations predominantly located in specific regions, while the high-low (H–L) distribution is primarily observed in Ganzhou, which demonstrates a consistent annual decline; (2) Regarding the influencing factors, this paper examines urbanization levels, economic development status, industrial structure, fiscal decentralization, and government governance. Notably, while urbanization levels contribute to reducing the income gap, the effects of fiscal decentralization and industrial structure are increasingly significant, exhibiting spatial heterogeneity.