How Does the Habitat Environment Affect the Life Satisfaction of County Residents? An IPA-Kano Model Analysis Based on Western China

Yuan Hou, Yaofu Huang, Jiangbin Yin () and Zhipeng Xu
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Yuan Hou: Northwest Land and Resource Research Center, Shaanxi Normal University, Xi’an 710119, China
Yaofu Huang: China Regional Coordinated Development and Rural Construction Institute, School of Geography and Planning, Sun Yat-sen University, No. 135, Xingang Xi Road, Guangzhou 510275, China
Jiangbin Yin: Northwest Land and Resource Research Center, Shaanxi Normal University, Xi’an 710119, China
Zhipeng Xu: Northwest Land and Resource Research Center, Shaanxi Normal University, Xi’an 710119, China

Land, 2024, vol. 13, issue 8, 1-21

Abstract: Coordinating the construction of villages and towns with the county as the basic unit and promoting the optimal allocation of infrastructure and public utilities within the county is an important measure to improve the rural habitat and enhance the well-being of residents. Using the field survey data from western China and the IPA-Kano model method, this study reveals the importance of the impact of habitat environment on life satisfaction in county seat, town and village communities, and identifies the priorities for improvement and enhancement in light of their actual performance. The empirical analysis found that the three types of communities have some differences in the classification of basic factors, key performance factors and excitement factors, and their priorities for improvement are also different. Overall, the improvement priorities of town and village communities are relatively similar, and the differences between the two types of communities and county seat’s communities are obvious. Differentiated improvement measures should be adopted for different types of communities in order to effectively improve the well-being of residents and achieve rational allocation of public resources.

Keywords: life satisfaction; habitat environment; urban-rural integration; IPA-Kano model; China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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