A comparative analysis of multi-scalar regional inequality in China

Sanwei He, Mucahid Mustafa Bayrak, Hui Lin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)


This paper investigates regional inequality across regions, provinces, prefectures, and counties in China from 1997 to 2010 using a comparative and multiscalar framework. Regional inequality is sensitive to geographic scales and regional heterogeneity. The year 2004 was a turning point for trends in inequality, when a new spatial regime started to emerge at the county-level in China. County-level inequality demonstrates a consistent upward trend despite a slight dip in 2005, which is different from a broad inverted U-shape trend at other geographic scales. Furthermore, intensifying inequalities are demonstrated between prefectures than within prefectures, within provinces than between provinces, and between regions than within regions. The underdeveloped Western region of China contributes the most to regional inequalities across counties and prefectures. Based on the heterogeneous characteristics of regional inequality, it is suggested that effective regional policies should adopt a geographic focus to reduce inequalities. Finally, a Markov chain technique is applied to predict the long-run properties of regional development in China. The results show that it is difficult for counties, prefectures and provinces to leapfrog from being less developed to well developed. This paper concludes that regional inequality in China in the long-run does not follow the neoclassical convergence hypothesis.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
Publication statusPublished - 2017 Jan 1
Externally publishedYes


  • China
  • Markov chain technique
  • Regional inequality
  • Spatial heterogeneity
  • Theil index

ASJC Scopus subject areas

  • Sociology and Political Science


Dive into the research topics of 'A comparative analysis of multi-scalar regional inequality in China'. Together they form a unique fingerprint.

Cite this