Environmental Kuznets Curve and Ecological Footprint: A Time Series Analysis
AbstractIn this paper we examine the Environmental Kuznets Curve (EKC) hypothesis using the Ecological Footprint (EF), a more comprehensive indicator of environmental degradation, through a time-series analysis for 15 countries covering the 1961-2007 period. We rst test the EKC hypothesis from traditional linear, quadratic and cubic functions, with standard and logarithmic speci cations. The EKC hypothesis is only supported for Chile and Uruguay with the quadratic functional form. We also nd that most of the countries exhibit a positive linear relationship between the EF and GDP. Finally, we study the long-term relationship between the EF and GDP. The results show evidence of long-term relationship between income and EF for some countries (Brazil, Chile, China, and Uruguay). More particularly, Spain displays a cubic relationship, in an N-shaped function form.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by HAL in its series Working Papers with number hal-00781958.
Date of creation: 28 Jan 2013
Date of revision:
Note: View the original document on HAL open archive server: http://hal.archives-ouvertes.fr/hal-00781958
Contact details of provider:
Web page: http://hal.archives-ouvertes.fr/
Environmental Kuznets Curve ; Ecological Footprint;
This paper has been announced in the following NEP Reports:
- NEP-AGR-2013-02-08 (Agricultural Economics)
- NEP-ALL-2013-02-08 (All new papers)
- NEP-EFF-2013-02-08 (Efficiency & Productivity)
- NEP-ENV-2013-02-08 (Environmental Economics)
- NEP-LAM-2013-02-08 (Central & South America)
You can help add them by filling out this form.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD).
If references are entirely missing, you can add them using this form.