4.5 Article

SPATIAL PATTERNS OF MARKET PARTICIPATION AND RESOURCE EXTRACTION: FUELWOOD COLLECTION IN NORTHERN UGANDA

Journal

AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS
Volume 99, Issue 4, Pages 1008-1026

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/ajae/aax027

Keywords

Spatial model; household sorting; household production; transaction costs; fuelwood extraction; deforestation; forest degradation; sub-Saharan Africa; quasi-experimental research designs

Funding

  1. Student International Discussion Group in the Nicholas School of the Environment at Duke University
  2. U.S. National Science Foundation (NSF) [0922392]
  3. Young Scientist's Summer Program at the International Institute for Applied Systems Analysis (IIASA)
  4. U.S. National Institutes of Environmental Health Services [1 P30 ES-011961-01A1]
  5. Duke Global Health Institute
  6. Direct For Social, Behav & Economic Scie
  7. Divn Of Social and Economic Sciences [0922392] Funding Source: National Science Foundation

Ask authors/readers for more resources

While distance to markets is a key determinant of market participation for households that are dependent on natural resources, the distance to the resource stock is also essential. Thus, a household's location with respect to markets and the resource stock determines household market participation and associated resource degradation. Applying a discrete-choice framework for fuelwood collection in a developing country, we characterize the spatial pattern of market participation regimes and forest use. All else being equal, autarkic households are closest to the forest and furthest from the market, buyer households are closest to the market and furthest from the forest, and seller households are at intermediate distances. Empirical tests based on survey data from northern Uganda support the predictions from our theoretical model. Our findings have important implications for understanding the spatial patterns of forest degradation and determining the control group when designing impact evaluations of the effectiveness of development and conservation interventions.

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