Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783318419599261696 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5923767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT gexiangyu aspatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina AT zhouzhimin aspatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina AT zhouyanli aspatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina AT yexinyue aspatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina AT liusonglin aspatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina AT gexiangyu spatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina AT zhouzhimin spatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina AT zhouyanli spatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina AT yexinyue spatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina AT liusonglin spatialpaneldataanalysisofeconomicgrowthurbanizationandnoxemissionsinchina |