What are the roles of population, economy, and energy on CO2 emissions in Henan in China
by Xuyi Liu; Shun Zhang
International Journal of Global Warming (IJGW), Vol. 25, No. 1, 2021

Abstract: This study aims to investigate the influence of population size, economic growth, energy intensity, CO2 intensity on CO2 emissions, and environmental Kuznets curve (EKC) hypothesis based on Kaya identity and stochastic impacts by regression on population, affluence and technology (STIRPAT) model in Henan Province in China. Unit root test indicates that each time series data is stationary in first difference. Three co-integration tests suggest that the selected model is co-integrated. Short and long-run estimates, based on the autoregressive distributed lag method, support the EKC hypothesis. Population size may lead to the reduction of emissions, while energy intensity and CO2 intensity can increase the emissions. Based on the vector error correction model, the findings of Granger causal linkages between the selected time series data are mixed. Based on empirical results, some policy implications are given to policymakers.

Online publication date: Mon, 06-Sep-2021

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 Global Warming (IJGW):
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