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Spatial Patterns of Market Participation and Resource Extraction: Fuelwood Collection in Northern Uganda

Author

Listed:
  • Daniela A. Miteva
  • Randall A. Kramer
  • Zachary S. Brown
  • Martin D. Smith

Abstract

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.

Suggested Citation

  • Daniela A. Miteva & Randall A. Kramer & Zachary S. Brown & Martin D. Smith, 2017. "Spatial Patterns of Market Participation and Resource Extraction: Fuelwood Collection in Northern Uganda," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(4), pages 1008-1026.
    • Handle: RePEc:oup:ajagec:v:99:y:2017:i:4:p:1008-1026.
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    File URL: http://hdl.handle.net/10.1093/ajae/aax027
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    Citations

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    Cited by:

    1. Felister Y. Tibamanya & Mursali A. Milanzi & Arne Henningsen, 2021. "Drivers of and Barriers to Adoption of Improved Sun- flower Varieties amongst Smallholder Farmers in Singida, Tanzania: the Double-Hurdle Approach," IFRO Working Paper 2021/03, University of Copenhagen, Department of Food and Resource Economics.
    2. Bošković, Branko & Chakravorty, Ujjayant & Pelli, Martino & Risch, Anna, 2023. "The effect of forest access on the market for fuelwood in India," Journal of Development Economics, Elsevier, vol. 160(C).
    3. William J Burke, 2019. "Evidence against Imposing Restrictions on Hurdle Models as a Test for Simultaneous versus Sequential Decision Making," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1473-1481.
    4. Miteva, Daniela A. & Pattanayak, Subhrendu K., 2021. "The effectiveness of protected areas in the context of decentralization," World Development, Elsevier, vol. 142(C).
    5. Ignaciuk, Ada & Kwon, Jihae & Maggio, Giuseppe & Mastrorillo, Marina & Sitko, Nicholas J., "undated". "Harvesting trees to harvest cash crops: The role of internal migrants in forest land conversion in Uganda," ESA Working Papers 319838, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
    6. Rahman, Md Habibur & Kitajima, Kaoru & Mitani, Yohei & Rahman, Md Farhadur, 2024. "Geographical variations in woodfuel supply and trade in northeastern Bangladesh," Renewable Energy, Elsevier, vol. 222(C).
    7. Salemi, Colette, 2021. "Refugee camps and deforestation in Sub-Saharan Africa," Journal of Development Economics, Elsevier, vol. 152(C).

    More about this item

    Keywords

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

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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