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Distance Friction and the Cost of Hunting in Tropical Forests

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Listed:
  • Anders H. Siren
  • Juan-Camilo Cardenas
  • Peter Hamback
  • Kalle Parvinen

Abstract

Empirical studies of tropical forest hunting have shown the existence of marked spatialgradients of hunting effort, game harvest, and animal abundance, as hunters mostlyhunt near villages, roads, and rivers. The mechanisms underlying these patterns have,however, hitherto been poorly known. This article presents a spatial bioeconomicmodel based on the concept of distance friction, i.e. an increasing marginal cost ofdistance. The model is validated by comparison with an economic field experimentwith Amazonian hunters and with previous empirical data on hunting.

Suggested Citation

  • Anders H. Siren & Juan-Camilo Cardenas & Peter Hamback & Kalle Parvinen, 2012. "Distance Friction and the Cost of Hunting in Tropical Forests," Documentos CEDE 10317, Universidad de los Andes, Facultad de Economía, CEDE.
    • Handle: RePEc:col:000089:010317
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    File URL: https://repositorio.uniandes.edu.co/bitstream/handle/1992/8364/dcede2012-37.pdf
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    References listed on IDEAS

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    1. Robinson, Elizabeth J.Z. & Albers, Heidi J. & Williams, Jeffrey C., 2008. "Spatial and temporal modeling of community non-timber forest extraction," Journal of Environmental Economics and Management, Elsevier, vol. 56(3), pages 234-245, November.
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    5. Albers, H.J., 2010. "Spatial modeling of extraction and enforcement in developing country protected areas," Resource and Energy Economics, Elsevier, vol. 32(2), pages 165-179, April.
    6. Juan Camilo Cardenas & Jeffrey Carpenter, 2008. "Behavioural Development Economics: Lessons from Field Labs in the Developing World," Journal of Development Studies, Taylor & Francis Journals, vol. 44(3), pages 311-338.
    7. Elizabeth J. Z. Robinson & Jeffrey C. Williams & Heidi J. Albers, 2002. "The Influence of Markets and Policy on Spatial Patterns of Non-Timber Forest Product Extraction," Land Economics, University of Wisconsin Press, vol. 78(2), pages 260-271.
    8. Hanemann, W Michael, 1991. "Willingness to Pay and Willingness to Accept: How Much Can They Differ?," American Economic Review, American Economic Association, vol. 81(3), pages 635-647, June.
    9. Skonhoft, Anders & Solstad, Jan Tore, 1996. "Wildlife management, illegal hunting and conflicts. A bioeconomic analysis," Environment and Development Economics, Cambridge University Press, vol. 1(2), pages 165-181, May.
    10. Richard C. Bishop & Thomas A. Heberlein, 1979. "Measuring Values of Extramarket Goods: Are Indirect Measures Biased?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 926-930.
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    Cited by:

    1. Sirén, Anders & Parvinen, Kalle, 2015. "A spatial bioeconomic model of the harvest of wild plants and animals," Ecological Economics, Elsevier, vol. 116(C), pages 201-210.
    2. Constantino, Pedro de Araujo Lima & Benchimol, Maíra & Antunes, André Pinassi, 2018. "Designing Indigenous Lands in Amazonia: Securing indigenous rights and wildlife conservation through hunting management," Land Use Policy, Elsevier, vol. 77(C), pages 652-660.

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    More about this item

    Keywords

    Hunting; hunting costs; distance friction; field experiments; Amazon;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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