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Cited by 280

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How do Local Institutions Mediate Market and Population Pressures on Resources? Forest Panchayats in Kumaon, India

Agrawal, Arun, Yadama, Gautam·1997·Development and Change

Abstract

This article addresses one of the most controversial issues in resource management: how do population and market pressures affect resource use? After examining some shortcomings in several major approaches to the issue, the authors use structural equation analysis to decipher the relative and reciprocal influence of population pressures, markets, and institutional arrangements on forest use in the Kumaon Himalaya in India. By deploying an approach which investigates comparatively the effects of these factors, the article attempts to find a way out of the stultifying positions that participants in the debate on overpopulation and environmental change are forced to adopt. The results presented in the second half of the article are especially interesting, showing that local institutions created by the state play a critical role in mediating the influence of structural and socio‐economic variables. The findings thus possess significant implications for all who are interested in co‐management of renewable resources by the state and the community.

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Metadata

Authors
Agrawal, A., & Yadama, G.
Venue
Development and Change
Publisher
Wiley
Published
1997-07
Volume
28
Issue
3
Pages
435-465
ISSN
  • 0012-155X (ISSN-L)
  • 1467-7660
OpenAlex
W2108882480
Cited by
280
References
0
FWCI
10.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How do Local Institutions Mediate Market and Population Pressures on Resources? Forest Panchayats in Kumaon, India. https://app.cochat.ai/papers/10.1111/1467-7660.00050
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Agrawal, A., & Yadama, G. (1997). How do Local Institutions Mediate Market and Population Pressures on Resources? Forest Panchayats in Kumaon, India. Development and Change. https://doi.org/10.1111/1467-7660.00050

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.