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 language | English |
|---|---|
| Pages (from-to) | 1037-1046 |
| Journal | Journal of Environmental Management |
| Volume | 223 |
| Online published | 11 Jul 2018 |
| DOIs | |
| Publication status | Published - 1 Oct 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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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
Fingerprint
Dive into the research topics of 'The government capacity on industrial pollution management in Shanxi province: A response impulse analysis'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Implementing Environmental Policy in a Politically-constrained World; Second Best under Uncertainty
ZHANG, L. (Principal Investigator / Project Coordinator), GLACHANT, M. (Co-Investigator), GLACHANT, M. (Co-Investigator) & POMMERET, A. (Co-Investigator)
1/01/17 → 3/12/19
Project: Research
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