Identification and implications of relationships among pollutant emission, economic structure and economic growth in China through multivariate analysis
Issue Date
6-2014
Abstract
The relationship between economic growth and environmental quality is generally considered as linear N-shaped or inverse U-shaped curve. However, due to the effects of economic structure on economic growth and pollution emission, this relationship may not be suitable in China. In this study, multivariate regression modelling was performed to identify relationships among pollutant emission, economic structure and economic growth in China. Estimates obtained from integrated multivariate regression results reveal that local provincial economic growth and pollutant emission demonstrate an inverse-N-shaped relationship that is different from that under the Environmental Kuznets Curve (EKC) hypothesis. Further empirical results also indicate that particularly in China: pollutant emission has a negative effect on economic structure and economic growth: pollutant emission has a negative effect on economic structure and economic growth; pollutant emission can reduce the positive contribution of economic structure and economic growth; and enforcement of emission reduction policies could stifle economic transformation and maintain sustainable economic growth.
Source or Periodical Title
Journal of Environmental Science and Management
ISSN
0119-1144
Volume
17
Issue
1
Page
1-11
Document Type
Article
College
School of Environmental Science and Management (SESAM)
Physical Description
tables; references
Language
English
Subject
China--economic growth; Pollution--China
Recommended Citation
Jiao, Roujing; Zhang, Pingdan; Zhu, Song; He, Li; and Niu, Haipeng, "Identification and implications of relationships among pollutant emission, economic structure and economic growth in China through multivariate analysis" (2014). Journal Article. 3904.
https://www.ukdr.uplb.edu.ph/journal-articles/3904
En – AGROVOC descriptors
CHINA; ECONOMIC GROWTH; ECONOMIC STRUCTURE; POLLUTANTS; POLLUTION; MODELS; ENVIRONMENTAL IMPACT