Deforestation and the Environmental Kuznets Curve: A Cross‐National Investigation of Intervening Mechanisms
Karen Ehrhardt‐Martinez,
Edward M. Crenshaw and
J. Craig Jenkins
Social Science Quarterly, 2002, vol. 83, issue 1, 226-243
Abstract:
Objective. We draw on ecological modernization theory and international political economy arguments to examine the sources of an environmental Kuznets curve (or EKC) that produces an inverted U‐shaped rate of deforestation relative to economic development. Method. We use ordinary least squares regression with White's (1978) correction for possible heteroskedasticity to examine the rate of deforestation (1980–1995) in less developed countries. Results. Net of controls for initial forest stock and the quality of deforestation estimates, we find strong evidence for an EKC driven by (1) agglomeration effects linked to the level of urbanization, (2) rural‐to‐urban migration that partially offsets rural population pressure, (3) the growth of services‐dominated urban economies, and (4) strong democratic states. We find little evidence that foreign debt or export dependence influence the deforestation rate. Conclusions. Although deforestation continues to pose pressing and potentially irreversible environmental risks, there is evidence of self‐corrective ecological and modernization processes inherent in development that act to mitigate these risks.
Date: 2002
References: Add references at CitEc
Citations: View citations in EconPapers (95)
Downloads: (external link)
https://doi.org/10.1111/1540-6237.00080
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:socsci:v:83:y:2002:i:1:p:226-243
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0038-4941
Access Statistics for this article
Social Science Quarterly is currently edited by Robert L. Lineberry
More articles in Social Science Quarterly from Southwestern Social Science Association
Bibliographic data for series maintained by Wiley Content Delivery ().