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The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration

In this paper, panel data from nineteen key cities in the Sichuan–Chongqing urban agglomeration from 2003 to 2016 were used as the study sample. Using the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, the effect of foreign direct investment (FDI) on parti...

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Autores principales: Gao, Lei, Pei, Taowu, Zhang, Jingran, Tian, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565711/
https://www.ncbi.nlm.nih.gov/pubmed/36231207
http://dx.doi.org/10.3390/ijerph191911903
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author Gao, Lei
Pei, Taowu
Zhang, Jingran
Tian, Yu
author_facet Gao, Lei
Pei, Taowu
Zhang, Jingran
Tian, Yu
author_sort Gao, Lei
collection PubMed
description In this paper, panel data from nineteen key cities in the Sichuan–Chongqing urban agglomeration from 2003 to 2016 were used as the study sample. Using the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, the effect of foreign direct investment (FDI) on particulate matter (PM(2.5)) pollution and its action mechanism in the Sichuan–Chongqing urban agglomeration were considered for both socioeconomic and natural factors. The results showed that the “pollution halo” hypothesis of FDI in the Sichuan–Chongqing urban agglomeration has been supported. There are significant positive spatial spillover effects of PM(2.5) pollution in this urban agglomeration, and the introduction of FDI is conducive to alleviating PM(2.5) pollution in the urban agglomeration. Similar to the “inverted U” curve proposed by the environmental Kuznets curve (EKC) hypothesis, there was a significant “inverted U” curve relationship between PM(2.5) pollution and economic growth in the Sichuan–Chongqing urban agglomeration. However, there was a significant “U”-type curve relationship between the urbanization degree and the PM(2.5) concentration, which indicates that the current urbanization mode may aggravate the pollution degree of PM(2.5) in the urban agglomeration in the long term. Furthermore, the two natural factors of annual average temperature and annual precipitation play an important role in PM(2.5) pollution and spatial spillover effect in the Sichuan–Chongqing urban agglomeration. Economic development and rationalization of the industrial structure are the main ways by which FDI affects PM(2.5) pollution in the urban agglomeration. The research conclusions of this study can be of great practical significance to optimize the regional industrial layout, control PM(2.5) pollution, and establish a sustainable development policy system in the Sichuan–Chongqing urban agglomeration.
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spelling pubmed-95657112022-10-15 The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration Gao, Lei Pei, Taowu Zhang, Jingran Tian, Yu Int J Environ Res Public Health Article In this paper, panel data from nineteen key cities in the Sichuan–Chongqing urban agglomeration from 2003 to 2016 were used as the study sample. Using the stochastic impacts by regression on population, affluence, and technology (STIRPAT) model, the effect of foreign direct investment (FDI) on particulate matter (PM(2.5)) pollution and its action mechanism in the Sichuan–Chongqing urban agglomeration were considered for both socioeconomic and natural factors. The results showed that the “pollution halo” hypothesis of FDI in the Sichuan–Chongqing urban agglomeration has been supported. There are significant positive spatial spillover effects of PM(2.5) pollution in this urban agglomeration, and the introduction of FDI is conducive to alleviating PM(2.5) pollution in the urban agglomeration. Similar to the “inverted U” curve proposed by the environmental Kuznets curve (EKC) hypothesis, there was a significant “inverted U” curve relationship between PM(2.5) pollution and economic growth in the Sichuan–Chongqing urban agglomeration. However, there was a significant “U”-type curve relationship between the urbanization degree and the PM(2.5) concentration, which indicates that the current urbanization mode may aggravate the pollution degree of PM(2.5) in the urban agglomeration in the long term. Furthermore, the two natural factors of annual average temperature and annual precipitation play an important role in PM(2.5) pollution and spatial spillover effect in the Sichuan–Chongqing urban agglomeration. Economic development and rationalization of the industrial structure are the main ways by which FDI affects PM(2.5) pollution in the urban agglomeration. The research conclusions of this study can be of great practical significance to optimize the regional industrial layout, control PM(2.5) pollution, and establish a sustainable development policy system in the Sichuan–Chongqing urban agglomeration. MDPI 2022-09-21 /pmc/articles/PMC9565711/ /pubmed/36231207 http://dx.doi.org/10.3390/ijerph191911903 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gao, Lei
Pei, Taowu
Zhang, Jingran
Tian, Yu
The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration
title The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration
title_full The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration
title_fullStr The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration
title_full_unstemmed The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration
title_short The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration
title_sort “pollution halo” effect of fdi: evidence from the chinese sichuan–chongqing urban agglomeration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565711/
https://www.ncbi.nlm.nih.gov/pubmed/36231207
http://dx.doi.org/10.3390/ijerph191911903
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