2023
DOI: 10.3390/su15042995
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Does Air Pollution Influence the Settlement Intention of the Floating Population in China? Individual Heterogeneity and City Characteristics

Abstract: Serious air pollution has caused widespread concern in Chinese society in recent years. China’s floating population plays an important role in China’s economic development, and the determinants of the floating population’s settlement intentions have attracted increasing attention. Using the 2017 China Migrants Dynamic Survey Data (CMDS) and the satellite grid data of global PM2.5 concentration as well as city-level data, this study investigated the influences of air quality on migrants’ settlement intention, i… Show more

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Cited by 5 publications
(2 citation statements)
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“…This implies that the creation of National Hygienic Cities principally affects migrants' settlement intentions by improving local air quality and ameliorating the environment's sanitary conditions. This finding aligns with the existing literature [17,26,47]. With the rise in residents' income levels, non-economic factors such as fundamental public health services, education, climate change, and urban environmental quality have emerged as pivotal determinants influencing migrants' decisions regarding their place of residence [10,48,49].…”
Section: Discussionsupporting
confidence: 89%
“…This implies that the creation of National Hygienic Cities principally affects migrants' settlement intentions by improving local air quality and ameliorating the environment's sanitary conditions. This finding aligns with the existing literature [17,26,47]. With the rise in residents' income levels, non-economic factors such as fundamental public health services, education, climate change, and urban environmental quality have emerged as pivotal determinants influencing migrants' decisions regarding their place of residence [10,48,49].…”
Section: Discussionsupporting
confidence: 89%
“…PM2.5 concentration, carbon dioxide emissions and sulfur dioxide emissions from industrial waste gases, as important indicators for judging ecological quality, affect the health status of residents. Referring to existing studies [41][42][43], the three were used as indicators for judging the impact on the ecological environment. To reduce model bias caused by heteroskedasticity, the variables were standardized, and the treated variables were used as explanatory variables in the model.…”
Section: Construction Of Rural Habitat Environment Index Systemmentioning
confidence: 99%