The Index Construction and Evaluation of Quality of Life in China and Its Spatial Mismatch with Subjective Well-Being: Evidence from a City-Level Perspective

Pengfei Wang (), Linna Li () and Yu Wang ()
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Pengfei Wang: Luoyang Normal University
Linna Li: Shanghai University of Finance and Economics
Yu Wang: Inner Mongolia University

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2023, vol. 170, issue 3, No 8, 955-985

Abstract: Abstract Over the past two decades, China has undergone a rapid urbanization process. As such, determining the current status of the quality of life in Chinese cities and how to improve it has become a common concern for all sectors of Chinese society. This paper employs a combination of city-level macro data and individual-level micro data to construct a quality of life evaluation system that contains 9 dimensions and 35 secondary indicators. The quality of life of 194 cities in China has been further assessed using the Pena distance method (DP2). The study found that there are significant regional differences in the quality of life in Chinese cities, with the quality of life in China's large cities being significantly higher than that in small and medium-sized cities. The analysis of Ivanovic discrimination coefficient shows that social security, culture and education and infrastructure are the most important factors affecting the quality of life in Chinese cities. Spatial mismatch analysis reveals that the quality of life and subjective well-being differ significantly in Chinese cities. In addition, this paper provides policy recommendations to improve the quality of urban life in China and to reduce the imbalance in the quality of life between regions.

Keywords: Quality of life; China; DP2 indicator; Urban perspective; Net population inflow (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11205-023-03228-0

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