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Spatial-Dynamic Complexities of Climate Challenge for Rural Areas: Integrating Resource and Regional Economic Insights

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  • Rebecca Epanchin-Niell
  • Yusuke Kuwayama
  • Margaret Walls

Abstract

Research questions in resource economics increasingly have incorporated both the field’s traditional dynamic considerations and the spatial concerns that often are the focus of regional economics. Spatial heterogeneity in costs, benefits, or connectivity often interact with intertemporal change in contexts such as fisheries management, water allocation, invasive species control, and land use change, making spatially- or temporally-uniform polices less likely to be efficient. In this article, we examine how climate change is likely to enhance the need to incorporate spatial-dynamic approaches to address natural resource challenges. We focus our discussion on rural areas, which are typically highly dependent on natural resources and particularly vulnerable to climate change. Following a brief review of existing spatial-dynamic models in natural resource economics and the insights derived from them, we describe how climate change can bring new spatial or temporal aspects to resource management problems, or exacerbate existing resource challenges that are best characterized as spatial-dynamic processes. We conclude with three case studies that highlight how integrating resource and regional economics through spatial-dynamic modeling may improve the analysis of climate change impacts in rural areas, considering the effects on rangeland management, groundwater policy, and land use management in floodplains and coastal areas.

Suggested Citation

  • Rebecca Epanchin-Niell & Yusuke Kuwayama & Margaret Walls, 2017. "Spatial-Dynamic Complexities of Climate Challenge for Rural Areas: Integrating Resource and Regional Economic Insights," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(2), pages 447-463.
  • Handle: RePEc:oup:ajagec:v:99:y:2017:i:2:p:447-463.
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    File URL: http://hdl.handle.net/10.1093/ajae/aaw116
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    Cited by:

    1. repec:ags:aaea22:335970 is not listed on IDEAS
    2. Caroline King-Okumu, 2018. "Valuing Environmental Benefit Streams in the Dryland Ecosystems of Sub-Saharan Africa," Land, MDPI, vol. 7(4), pages 1-23, November.
    3. James Vercammen, 2019. "A dynamic analysis of cost‐share agri‐environmental programs," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 67(1), pages 15-30, March.

    More about this item

    Keywords

    Spatial-dynamic models; climate change; rural areas;
    All these keywords.

    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • L29 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Other
    • L66 - Industrial Organization - - Industry Studies: Manufacturing - - - Food; Beverages; Cosmetics; Tobacco
    • Q19 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Other

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