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Modeling Ecological Success of Common Pool Resource Systems Using Large Datasets

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  • Frey, Ulrich J.
  • Rusch, Hannes

Abstract

The influence of many factors on ecological success in common pool resource management is still unclear. This may be due to methodological issues. These include causal complexity, a lack of large-N-studies, and non-linear relationships between factors. We address all three issues with a new methodological approach, artificial neural networks, which is discussed in detail. It allows us to develop a model with comparably high predictive power. In addition, two success factors are analyzed: legal security and institutional fairness. Both factors show a positive impact on success in irrigation and fisheries supporting the view that there are sector-independent success factors.

Suggested Citation

  • Frey, Ulrich J. & Rusch, Hannes, 2014. "Modeling Ecological Success of Common Pool Resource Systems Using Large Datasets," World Development, Elsevier, vol. 59(C), pages 93-103.
    • Handle: RePEc:eee:wdevel:v:59:y:2014:i:c:p:93-103
    DOI: 10.1016/j.worlddev.2014.01.034
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