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A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO(x) Emissions in China

Is nitrogen oxides emissions spatially correlated in a Chinese context? What is the relationship between nitrogen oxides emission levels and fast-growing economy/urbanization? More importantly, what environmental preservation and economic developing policies should China’s central and local governme...

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Autores principales: Ge, Xiangyu, Zhou, Zhimin, Zhou, Yanli, Ye, Xinyue, Liu, Songlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923767/
https://www.ncbi.nlm.nih.gov/pubmed/29641500
http://dx.doi.org/10.3390/ijerph15040725
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author Ge, Xiangyu
Zhou, Zhimin
Zhou, Yanli
Ye, Xinyue
Liu, Songlin
author_facet Ge, Xiangyu
Zhou, Zhimin
Zhou, Yanli
Ye, Xinyue
Liu, Songlin
author_sort Ge, Xiangyu
collection PubMed
description Is nitrogen oxides emissions spatially correlated in a Chinese context? What is the relationship between nitrogen oxides emission levels and fast-growing economy/urbanization? More importantly, what environmental preservation and economic developing policies should China’s central and local governments take to mitigate the overall nitrogen oxides emissions and prevent severe air pollution at the provincial level in specific locations and their neighboring areas? The present study aims to tackle these issues. This is the first research that simultaneously studies the nexus between nitrogen oxides emissions and economic development/urbanization, with the application of a spatial panel data technique. Our empirical findings suggest that spatial dependence of nitrogen oxides emissions distribution exists at the provincial level. Through the investigation of the existence of an environmental Kuznets curve (EKC) embedded within the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework, we conclude something interesting: an inverse N-shaped EKC describes both the income-nitrogen oxides nexus and the urbanization-nitrogen oxides nexus. Some well-directed policy advice is provided to reduce nitrogen oxides in the future. Moreover, these results contribute to the literature on development and pollution.
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spelling pubmed-59237672018-05-03 A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO(x) Emissions in China Ge, Xiangyu Zhou, Zhimin Zhou, Yanli Ye, Xinyue Liu, Songlin Int J Environ Res Public Health Article Is nitrogen oxides emissions spatially correlated in a Chinese context? What is the relationship between nitrogen oxides emission levels and fast-growing economy/urbanization? More importantly, what environmental preservation and economic developing policies should China’s central and local governments take to mitigate the overall nitrogen oxides emissions and prevent severe air pollution at the provincial level in specific locations and their neighboring areas? The present study aims to tackle these issues. This is the first research that simultaneously studies the nexus between nitrogen oxides emissions and economic development/urbanization, with the application of a spatial panel data technique. Our empirical findings suggest that spatial dependence of nitrogen oxides emissions distribution exists at the provincial level. Through the investigation of the existence of an environmental Kuznets curve (EKC) embedded within the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework, we conclude something interesting: an inverse N-shaped EKC describes both the income-nitrogen oxides nexus and the urbanization-nitrogen oxides nexus. Some well-directed policy advice is provided to reduce nitrogen oxides in the future. Moreover, these results contribute to the literature on development and pollution. MDPI 2018-04-11 2018-04 /pmc/articles/PMC5923767/ /pubmed/29641500 http://dx.doi.org/10.3390/ijerph15040725 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ge, Xiangyu
Zhou, Zhimin
Zhou, Yanli
Ye, Xinyue
Liu, Songlin
A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO(x) Emissions in China
title A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO(x) Emissions in China
title_full A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO(x) Emissions in China
title_fullStr A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO(x) Emissions in China
title_full_unstemmed A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO(x) Emissions in China
title_short A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO(x) Emissions in China
title_sort spatial panel data analysis of economic growth, urbanization, and no(x) emissions in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5923767/
https://www.ncbi.nlm.nih.gov/pubmed/29641500
http://dx.doi.org/10.3390/ijerph15040725
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