HUBEI AGRICULTURAL SCIENCES ›› 2025, Vol. 64 ›› Issue (4): 211-217.doi: 10.14088/j.cnki.issn0439-8114.2025.04.034

• Economy & Management • Previous Articles     Next Articles

Level measurement, regional differences and influencing factors of urban-rural integration in Hubei Province

QIN Xin, TU Wei-liang   

  1. School of Economics and Management, Yangtze University,Jingzhou 434023,Hubei,China
  • Received:2024-04-22 Online:2025-04-25 Published:2025-05-12

Abstract: An index system was constructed based on five dimensions of "economy, population, society, space and ecology", the entropy method was used to measure the level of urban-rural integration and development in Hubei Province, and the Dagum Gini coefficient method was used to analyze regional differences. The results showed that: From 2010 to 2021, the development level of urban-rural integration in Hubei Province showed an overall upward trend, with the best development of spatial integration and rapid development of ecological integration and population integration. In Hubei Province, the regional differences of urban-rural integration development showed a downward trend, but there were still obvious differentiation characteristics. The regional differences within Yichang, Jingzhou, Jingmen, and Enshi, as well as within Xiangyang, Shiyan, and Suizhou gradually narrowed, while the differences in Wuhan, Ezhou, Huanggang, and Huangshi showed an expanding trend. The analysis of influencing factors of urban-rural integration in Hubei Province by using the geographical detector model showed that social economy, public service and financial support could promote urban-rural integration in Hubei Province to a certain extent, and the influence of natural factors could not be ignored. It put forward countermeasures and suggestions such as strengthening the driving role of leading factors of urban-rural integration development, paying attention to regional differences and differentiation of urban-rural integration development, and continuously promoting the construction of "strong county project".

Key words: urban-rural integration, level measurement, regional differences

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