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

Lin Zhang*, Yao An

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This study employs the 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 result show there exists bi-directional effects, with stronger impact running from economic development to industrial pollution is stronger. We also find the 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.
Original languageEnglish
Pages (from-to)1037-1046
JournalJournal of Environmental Management
Volume223
Online published11 Jul 2018
DOIs
Publication statusPublished - 1 Oct 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Research Keywords

  • Economic growth
  • Environmental Kuznets curve
  • Environmental pollution intensity
  • Government capacity
  • Industrial pollution control

RGC Funding Information

  • RGC-funded

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