4.7 Article

Factors driving deforestation in common-pool resources in northern Mexico

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 90, Issue 1, Pages 331-340

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2007.10.001

Keywords

Collective action; Deforestation; Durango, Mexico; Ejido; Multinomial logit model

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The theory of collective action has been extensively used to explain the relationship between common-based property regimes and the conservation of natural resources. However, there are two key components of the theory that literature reports as puzzles in which no consensus exists about their effect oil the performance of: common-pool resources. These are group size and heterogeneity. This study analyzes the effects of these two key components on the effectiveness of community-based forestry, called ejidos, to protect their forest resources in northern Mexico. We used a multinomial logit model to determine the contribution of 16 explanatory variables to the dependent variable, a measure Of: Success of ejidos defined by the presence of deforested, degraded, or forested conditions. The results show that corn yield, marginality, percent of forest area, total population, a forest value index, distance to markets, roads aid towns, were all statistically significant ill driving deforested conditions. Deforestation becomes more attractive for poor communities and as corn yield and distance to towns, roads, and markets decrease. In general, group size and heterogeneity had no significant effects oil the presence of deforested conditions. Deforestation is driven by resource-specific characteristics, such as location and soil productivity, not by ejidos' attributes, Such as total area or number of members. We argue that Current institutional policies focusing oil the structure of property right arrangements should be shifted (1) to provide better technology for land cultivation (2) to reduce file marginality problem in poor communities; and (3) to strengthen local institutions. (C) 2007 Elsevier Ltd. All rights reserved.

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