Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data

Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple Causes (MIMIC) model, this study calculates the sc...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shi, Yuan, Yizhou, Wang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719902/
https://www.ncbi.nlm.nih.gov/pubmed/31405224
http://dx.doi.org/10.3390/ijerph16162871
_version_ 1783448006517850112
author Wang, Shi
Yuan, Yizhou
Wang, Hua
author_facet Wang, Shi
Yuan, Yizhou
Wang, Hua
author_sort Wang, Shi
collection PubMed
description Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple Causes (MIMIC) model, this study calculates the scale of hidden economy in Chinese provinces firstly. Then, we apply the method of spatial econometrics to analyze the interaction effect of corruption and the hidden economy on environmental pollution with China’s provincial panel data from 1998 to 2017. The results indicate that the interaction effect between corruption and hidden economy significantly increases pollutant discharge, suggesting that both anti-corruption and control of the hidden economy may improve environmental quality directly and indirectly.
format Online
Article
Text
id pubmed-6719902
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-67199022019-09-10 Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data Wang, Shi Yuan, Yizhou Wang, Hua Int J Environ Res Public Health Article Previous studies show that the environmental quality is significantly influenced by corruption and the hidden economy separately. However, what is the impact of their interaction effect on environmental quality? Based on Multiple Indicators Multiple Causes (MIMIC) model, this study calculates the scale of hidden economy in Chinese provinces firstly. Then, we apply the method of spatial econometrics to analyze the interaction effect of corruption and the hidden economy on environmental pollution with China’s provincial panel data from 1998 to 2017. The results indicate that the interaction effect between corruption and hidden economy significantly increases pollutant discharge, suggesting that both anti-corruption and control of the hidden economy may improve environmental quality directly and indirectly. MDPI 2019-08-11 2019-08 /pmc/articles/PMC6719902/ /pubmed/31405224 http://dx.doi.org/10.3390/ijerph16162871 Text en © 2019 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
Wang, Shi
Yuan, Yizhou
Wang, Hua
Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data
title Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data
title_full Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data
title_fullStr Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data
title_full_unstemmed Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data
title_short Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data
title_sort corruption, hidden economy and environmental pollution: a spatial econometric analysis based on china’s provincial panel data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719902/
https://www.ncbi.nlm.nih.gov/pubmed/31405224
http://dx.doi.org/10.3390/ijerph16162871
work_keys_str_mv AT wangshi corruptionhiddeneconomyandenvironmentalpollutionaspatialeconometricanalysisbasedonchinasprovincialpaneldata
AT yuanyizhou corruptionhiddeneconomyandenvironmentalpollutionaspatialeconometricanalysisbasedonchinasprovincialpaneldata
AT wanghua corruptionhiddeneconomyandenvironmentalpollutionaspatialeconometricanalysisbasedonchinasprovincialpaneldata

Ejemplares similares