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Deforestation and the Environmental Kuznets Curve: A Cross‐National Investigation of Intervening Mechanisms

Ehrhardt‐Martinez, Karen, Crenshaw, Edward M., Jenkins, J. Craig·2002·Social Science Quarterly

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.

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Metadata

Authors
Ehrhardt‐Martinez, K., Crenshaw, E. M., & Jenkins, J. C.
Venue
Social Science Quarterly
Publisher
Wiley
Published
2002-03
Volume
83
Issue
1
Pages
226-243
ISSN
  • 0038-4941 (ISSN-L)
  • 1540-6237
OpenAlex
W2049010707
Cited by
412
References
4
FWCI
5.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Deforestation and the Environmental Kuznets Curve: A Cross‐National Investigation of Intervening Mechanisms. https://app.cochat.ai/papers/10.1111/1540-6237.00080
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Ehrhardt‐Martinez, K., Crenshaw, E. M., & Jenkins, J. C. (2002). Deforestation and the Environmental Kuznets Curve: A Cross‐National Investigation of Intervening Mechanisms. Social Science Quarterly. https://doi.org/10.1111/1540-6237.00080

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