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The Empirical Relationship between Mining Industry Development and Environmental Pollution in China

This study uses a vector autoregression (VAR) model to analyze changes in pollutants among different mining industries and related policy in China from 2001 to 2014. The results show that: (1) because the pertinence of standards for mining waste water and waste gas emissions are not strong and becau...

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Detalles Bibliográficos
Autores principales: Li, Gerui, Lei, Yalin, Ge, Jianping, Wu, Sanmang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369090/
https://www.ncbi.nlm.nih.gov/pubmed/28257126
http://dx.doi.org/10.3390/ijerph14030254
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author Li, Gerui
Lei, Yalin
Ge, Jianping
Wu, Sanmang
author_facet Li, Gerui
Lei, Yalin
Ge, Jianping
Wu, Sanmang
author_sort Li, Gerui
collection PubMed
description This study uses a vector autoregression (VAR) model to analyze changes in pollutants among different mining industries and related policy in China from 2001 to 2014. The results show that: (1) because the pertinence of standards for mining waste water and waste gas emissions are not strong and because the maximum permissible discharge pollutant concentrations in these standards are too high, ammonia nitrogen and industrial sulfur dioxide discharges increased in most mining industries; (2) chemical oxygen demand was taken as an indicator of sewage treatment in environmental protection plans; hence, the chemical oxygen demand discharge decreased in all mining industries; (3) tax reduction policies, which are only implemented in coal mining and washing and extraction of petroleum and natural gas, decreased the industrial solid waste discharge in these two mining industries.
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spelling pubmed-53690902017-04-05 The Empirical Relationship between Mining Industry Development and Environmental Pollution in China Li, Gerui Lei, Yalin Ge, Jianping Wu, Sanmang Int J Environ Res Public Health Article This study uses a vector autoregression (VAR) model to analyze changes in pollutants among different mining industries and related policy in China from 2001 to 2014. The results show that: (1) because the pertinence of standards for mining waste water and waste gas emissions are not strong and because the maximum permissible discharge pollutant concentrations in these standards are too high, ammonia nitrogen and industrial sulfur dioxide discharges increased in most mining industries; (2) chemical oxygen demand was taken as an indicator of sewage treatment in environmental protection plans; hence, the chemical oxygen demand discharge decreased in all mining industries; (3) tax reduction policies, which are only implemented in coal mining and washing and extraction of petroleum and natural gas, decreased the industrial solid waste discharge in these two mining industries. MDPI 2017-03-02 2017-03 /pmc/articles/PMC5369090/ /pubmed/28257126 http://dx.doi.org/10.3390/ijerph14030254 Text en © 2017 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
Li, Gerui
Lei, Yalin
Ge, Jianping
Wu, Sanmang
The Empirical Relationship between Mining Industry Development and Environmental Pollution in China
title The Empirical Relationship between Mining Industry Development and Environmental Pollution in China
title_full The Empirical Relationship between Mining Industry Development and Environmental Pollution in China
title_fullStr The Empirical Relationship between Mining Industry Development and Environmental Pollution in China
title_full_unstemmed The Empirical Relationship between Mining Industry Development and Environmental Pollution in China
title_short The Empirical Relationship between Mining Industry Development and Environmental Pollution in China
title_sort empirical relationship between mining industry development and environmental pollution in china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369090/
https://www.ncbi.nlm.nih.gov/pubmed/28257126
http://dx.doi.org/10.3390/ijerph14030254
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