Journalartikel

Jahr der Veröffentlichung: 2014

Seiten: 93-103

Zeitschrift: World Development

Bandnummer: 59

ISSN: 0305-750X

DOI Link: https://doi.org/10.1016/j.worlddev.2014.01.034

Verlag: Elsevier

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. (C) 2014 Elsevier Ltd. All rights reserved.

Harvard-Zitierstil: Frey, U. and Rusch, H. (2014) Modeling Ecological Success of Common Pool Resource Systems Using Large Datasets, World Development, 59, pp. 93-103. https://doi.org/10.1016/j.worlddev.2014.01.034

APA-Zitierstil: Frey, U., & Rusch, H. (2014). Modeling Ecological Success of Common Pool Resource Systems Using Large Datasets. World Development. 59, 93-103. https://doi.org/10.1016/j.worlddev.2014.01.034