Modeling Ecological Success of Common Pool Resource Systems Using Large Datasets

Ulrich J. Frey and Hannes Rusch

World Development, 2014, vol. 59, issue C, 93-103

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.

Keywords: social-ecological systems; common pool resources; complexity; non-linearity; artificial neural networks; large-N (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:wdevel:v:59:y:2014:i:c:p:93-103

DOI: 10.1016/j.worlddev.2014.01.034

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