The government capacity on industrial pollution management in Shanxi province: A response impulse analysis

Lin Zhang and Yao An

MPRA Paper from University Library of Munich, Germany

Abstract: This study employs Vector Auto-regression model with Generalized Response Impulse Function to analyse the dynamic nexus between economic growth and the industrial environmental pollution intensity for six specific pollutants in Shanxi province of China from 1995 to 2015. The results show there exists bi-directional effects, with stronger impact running from economic development to industrial pollution is stronger. We also find Shanxi government shows significant capacity in the management of industrial solid waste and waste gas. The provincial government has higher capacity in controlling Sulfur Dioxide compared to soot/dust. Our results verify the existence of Environmental Kuznets Curve through dynamic interactions between industrial pollution intensity and economic growth impulse. Three out of the six environmental pollution intensity responses are in the shape of inverted U curve. There are exceptions for three pollutants: N curve for Chemical Oxygen Demand and U curve for solid waste and waste gas.

Keywords: Environmental pollution intensity; Economic growth; Government capacity; Industrial pollutions control; Environmental Kuznets Curve (search for similar items in EconPapers)
JEL-codes: Q00 Q56 Q58 (search for similar items in EconPapers)
Date: 2017-09
New Economics Papers: this item is included in nep-cna, nep-ene and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/94796/1/MPRA_paper_94796.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:94796

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().