How does air pollution affect urban settlement of the floating population in China? New evidence from a push-pull migration analysis
Background Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We establish a comprehensive framework based on the push-pull migration model to investigate this phenomenon. Methods We employ a logi...
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Published in | BMC public health Vol. 21; no. 1; pp. 1 - 15 |
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17.09.2021
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Abstract | Background Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We establish a comprehensive framework based on the push-pull migration model to investigate this phenomenon. Methods We employ a logistic model to analyze air pollution's impact on the settlement intentions of the floating population based on the CMDS 2017 in China, combining the city-level socioeconomic variables with the individual-level variables. Results Our results show that the annual average concentration of PM2.5 increases by 1 unit and that the probability of migrants' settlement intentions will decrease by 8.7%. Using a heterogeneity analysis, we find that the following migrant groups are more sensitive to air pollution: males, people over 30 years old, less educated people, and migrants with nonagricultural hukou. With every 1 unit increase in PM2.5, each group's settlement intentions decrease by 13.2, 16.7, 16.9, and 12.6%, respectively. Conclusions Our results are consistent with existing studies. This study discovers that both external environment and internal factors influence migrants' settlement intentions. Specifically, the differences in population sizes, economic development levels, public services, infrastructure conditions, and environmental regulations between cities play a significant role in migration decisions. We also confirm heterogeneous sensitivities to air pollution of different migrant subgroups in terms of individual characteristics, family factors, migration features, social and economic attributes. Keywords: Air pollution, Settlement intentions, Floating population, Heterogeneity, Push-pull migration model |
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AbstractList | Background Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We establish a comprehensive framework based on the push-pull migration model to investigate this phenomenon. Methods We employ a logistic model to analyze air pollution's impact on the settlement intentions of the floating population based on the CMDS 2017 in China, combining the city-level socioeconomic variables with the individual-level variables. Results Our results show that the annual average concentration of PM2.5 increases by 1 unit and that the probability of migrants' settlement intentions will decrease by 8.7%. Using a heterogeneity analysis, we find that the following migrant groups are more sensitive to air pollution: males, people over 30 years old, less educated people, and migrants with nonagricultural hukou. With every 1 unit increase in PM2.5, each group's settlement intentions decrease by 13.2, 16.7, 16.9, and 12.6%, respectively. Conclusions Our results are consistent with existing studies. This study discovers that both external environment and internal factors influence migrants' settlement intentions. Specifically, the differences in population sizes, economic development levels, public services, infrastructure conditions, and environmental regulations between cities play a significant role in migration decisions. We also confirm heterogeneous sensitivities to air pollution of different migrant subgroups in terms of individual characteristics, family factors, migration features, social and economic attributes. Keywords: Air pollution, Settlement intentions, Floating population, Heterogeneity, Push-pull migration model Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We establish a comprehensive framework based on the push-pull migration model to investigate this phenomenon.BACKGROUNDSevere air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We establish a comprehensive framework based on the push-pull migration model to investigate this phenomenon.We employ a logistic model to analyze air pollution's impact on the settlement intentions of the floating population based on the CMDS 2017 in China, combining the city-level socioeconomic variables with the individual-level variables.METHODSWe employ a logistic model to analyze air pollution's impact on the settlement intentions of the floating population based on the CMDS 2017 in China, combining the city-level socioeconomic variables with the individual-level variables.Our results show that the annual average concentration of PM2.5 increases by 1 unit and that the probability of migrants' settlement intentions will decrease by 8.7%. Using a heterogeneity analysis, we find that the following migrant groups are more sensitive to air pollution: males, people over 30 years old, less educated people, and migrants with nonagricultural hukou. With every 1 unit increase in PM2.5, each group's settlement intentions decrease by 13.2, 16.7, 16.9, and 12.6%, respectively.RESULTSOur results show that the annual average concentration of PM2.5 increases by 1 unit and that the probability of migrants' settlement intentions will decrease by 8.7%. Using a heterogeneity analysis, we find that the following migrant groups are more sensitive to air pollution: males, people over 30 years old, less educated people, and migrants with nonagricultural hukou. With every 1 unit increase in PM2.5, each group's settlement intentions decrease by 13.2, 16.7, 16.9, and 12.6%, respectively.Our results are consistent with existing studies. This study discovers that both external environment and internal factors influence migrants' settlement intentions. Specifically, the differences in population sizes, economic development levels, public services, infrastructure conditions, and environmental regulations between cities play a significant role in migration decisions. We also confirm heterogeneous sensitivities to air pollution of different migrant subgroups in terms of individual characteristics, family factors, migration features, social and economic attributes.CONCLUSIONSOur results are consistent with existing studies. This study discovers that both external environment and internal factors influence migrants' settlement intentions. Specifically, the differences in population sizes, economic development levels, public services, infrastructure conditions, and environmental regulations between cities play a significant role in migration decisions. We also confirm heterogeneous sensitivities to air pollution of different migrant subgroups in terms of individual characteristics, family factors, migration features, social and economic attributes. Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We establish a comprehensive framework based on the push-pull migration model to investigate this phenomenon. We employ a logistic model to analyze air pollution's impact on the settlement intentions of the floating population based on the CMDS 2017 in China, combining the city-level socioeconomic variables with the individual-level variables. Our results show that the annual average concentration of PM2.5 increases by 1 unit and that the probability of migrants' settlement intentions will decrease by 8.7%. Using a heterogeneity analysis, we find that the following migrant groups are more sensitive to air pollution: males, people over 30 years old, less educated people, and migrants with nonagricultural hukou. With every 1 unit increase in PM2.5, each group's settlement intentions decrease by 13.2, 16.7, 16.9, and 12.6%, respectively. Our results are consistent with existing studies. This study discovers that both external environment and internal factors influence migrants' settlement intentions. Specifically, the differences in population sizes, economic development levels, public services, infrastructure conditions, and environmental regulations between cities play a significant role in migration decisions. We also confirm heterogeneous sensitivities to air pollution of different migrant subgroups in terms of individual characteristics, family factors, migration features, social and economic attributes. Background Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We establish a comprehensive framework based on the push-pull migration model to investigate this phenomenon. Methods We employ a logistic model to analyze air pollution’s impact on the settlement intentions of the floating population based on the CMDS 2017 in China, combining the city-level socioeconomic variables with the individual-level variables. Results Our results show that the annual average concentration of PM2.5 increases by 1 unit and that the probability of migrants’ settlement intentions will decrease by 8.7%. Using a heterogeneity analysis, we find that the following migrant groups are more sensitive to air pollution: males, people over 30 years old, less educated people, and migrants with nonagricultural hukou. With every 1 unit increase in PM2.5, each group’s settlement intentions decrease by 13.2, 16.7, 16.9, and 12.6%, respectively. Conclusions Our results are consistent with existing studies. This study discovers that both external environment and internal factors influence migrants’ settlement intentions. Specifically, the differences in population sizes, economic development levels, public services, infrastructure conditions, and environmental regulations between cities play a significant role in migration decisions. We also confirm heterogeneous sensitivities to air pollution of different migrant subgroups in terms of individual characteristics, family factors, migration features, social and economic attributes. Abstract Background Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We establish a comprehensive framework based on the push-pull migration model to investigate this phenomenon. Methods We employ a logistic model to analyze air pollution’s impact on the settlement intentions of the floating population based on the CMDS 2017 in China, combining the city-level socioeconomic variables with the individual-level variables. Results Our results show that the annual average concentration of PM2.5 increases by 1 unit and that the probability of migrants’ settlement intentions will decrease by 8.7%. Using a heterogeneity analysis, we find that the following migrant groups are more sensitive to air pollution: males, people over 30 years old, less educated people, and migrants with nonagricultural hukou. With every 1 unit increase in PM2.5, each group’s settlement intentions decrease by 13.2, 16.7, 16.9, and 12.6%, respectively. Conclusions Our results are consistent with existing studies. This study discovers that both external environment and internal factors influence migrants’ settlement intentions. Specifically, the differences in population sizes, economic development levels, public services, infrastructure conditions, and environmental regulations between cities play a significant role in migration decisions. We also confirm heterogeneous sensitivities to air pollution of different migrant subgroups in terms of individual characteristics, family factors, migration features, social and economic attributes. |
ArticleNumber | 1696 |
Audience | Academic |
Author | Lei, Ping Gu, Hengyu Lao, Xin Zhao, Zhihao Yu, Hanchen |
Author_xml | – sequence: 1 givenname: Zhihao surname: Zhao fullname: Zhao, Zhihao – sequence: 2 givenname: Xin surname: Lao fullname: Lao, Xin – sequence: 3 givenname: Hengyu surname: Gu fullname: Gu, Hengyu – sequence: 4 givenname: Hanchen surname: Yu fullname: Yu, Hanchen – sequence: 5 givenname: Ping surname: Lei fullname: Lei, Ping |
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Snippet | Background Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination... Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in destination cities. We... Abstract Background Severe air pollution in China threatens human health, and its negative impact decreases the urban settlement intentions of migrants in... |
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SubjectTerms | Air pollution Cities Costs Decision making Economic development Economics Environmental aspects Environmental health Environmental regulations Floating population Forecasts and trends Health aspects Health risk assessment Health risks Heterogeneity Hypotheses Immigration Literature reviews Migrants Migration Migration, Internal Noncitizens Particulate matter Population Public health Public services Public works Push-pull migration model Regions Settlement intentions Social factors Social integration Subgroups Urban population Vacations |
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Title | How does air pollution affect urban settlement of the floating population in China? New evidence from a push-pull migration analysis |
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