2026-10-10T19:10:42Z https://www.scidb.cn/oai

10.57760/sciencedb.j00214.00061 2024-08-28T10:50:55Z

2024-08-28 The Impact of Commuting on the Subjective Well-being of Chinese Resident: Empirical Evidence from CHFS data doi:10.57760/sciencedb.j00214.00061 en This article is based on the 2017 and 2019 China Household Finance Survey (CHFS) data. It conducts a systematic study on the impact and mechanism of commuting on residents' subjective well-being in China from urban-rural heterogeneity and demographic heterogeneity perspectives. Research has found that, firstly, the three aspects of commuting: i.e., commuting time, commuting distance, and commuting method have a significant impact on residents' subjective well-being. Commuting time has a significant negative effect on residents' subjective well-being. In contrast, longer commuting distance compensates for the negative impact of long-distance commuting on residents' subjective well-being by enhancing the utility of other aspects. Among commuting methods, At present, public transportation has the most significant inhibitory effect on residents' subjective well-being. Secondly, the analysis of the mechanism of action shows that the impact of commuting time, commuting distance, and commuting method on residents' subjective well-being shows substantial heterogeneity due to differences in regional location and individual characteristics. The impact is more significant in urban areas, eastern regions, high-priced housing areas, male residents, married residents, and residents with children. Thirdly, further exploring the external conditions that enhance the subjective well-being of residents through commuting, excessive construction of bridges, overpasses, etc., is not conducive to improving the quality of commuting but may damage the subjective well-being of residents. commuting; subjective well-being; inequality between urban and rural area; demographic characteristics Liu Yixi Dong Jichang Li Xiuting He Zhou PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank