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The Spatial Econometrics of Elephant Population Change: A Note

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  • Björn Frank
  • Per Botolf Maurseth

Abstract

While previous research found no other variable than corruption to have a negative impact on (the growth rate of) the African countries' elephant populations, we show that one further significant impact is exerted by what one might call neighbourhood effects. Elephants travel long distances, often crossing borders. Using spatial econometric tools, we find that elephant population changes in one country have a positive impact on elephants in neighbouring countries. Our results have possible policy implications, as they suggest that the spatial clustering of funds and of conservation efforts makes sense if the endangered species move across borders.

Suggested Citation

  • Björn Frank & Per Botolf Maurseth, 2005. "The Spatial Econometrics of Elephant Population Change: A Note," Discussion Papers of DIW Berlin 507, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp507
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    Keywords

    Elephants; Spatial econometrics; Corruption and ecology;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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