Environmental Kuznets curve for pollutants emissions in China's textile industry: an empirical investigation
by Laili Wang; Xuemei Ding; Xiongying Wu
International Journal of Environmental Technology and Management (IJETM), Vol. 17, No. 1, 2014

Abstract: This study investigates the relationships between pollutants emissions and economic growth in China's textile industry for the period 1992-2007. Four kinds of pollutants emissions (i.e. carbon dioxide emissions, sulphur dioxide emissions, waste gas emissions and wastewater discharges) are focused on. In particular, the study aims at testing whether relationship between pollutants emissions and value-added of industry, as depicted in environmental Kuznets curve, holds in the long run or not. By employing unit root tests and Johansen method of co-integration, the results provide support for a unique and inverted N-shaped relationship between each pollutant emissions and economic growth of China's textile industry. Indeed, there were two turning points for each EKC-pollutant model. The results also indicate that China's textile industry has been making progress on pollutants reduction through structural adjustment and technologies improvement.

Online publication date: Sat, 11-Oct-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Environmental Technology and Management (IJETM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com