Modeling Ecological Success of Common Pool Resource Systems Using Large Datasets

Ulrich Frey; Hannes Rusch

doi:10.1016/j.worlddev.2014.01.034

Modeling Ecological Success of Common Pool Resource Systems Using Large Datasets

Ulrich Frey^*, Hannes Rusch

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	93-103
Journal	World Development
Volume	59
DOIs	https://doi.org/10.1016/j.worlddev.2014.01.034
Publication status	Published - 2014
Externally published	Yes

Access to Document

10.1016/j.worlddev.2014.01.034

Cite this

@article{84a8853d247c4caea0552a77b1f06ce9,

title = "Modeling Ecological Success of Common Pool Resource Systems Using Large Datasets",

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.",

author = "Ulrich Frey and Hannes Rusch",

year = "2014",

doi = "10.1016/j.worlddev.2014.01.034",

language = "English",

volume = "59",

pages = "93--103",

journal = "World Development",

issn = "0305-750X",

publisher = "Elsevier Science",

}

TY - JOUR

T1 - Modeling Ecological Success of Common Pool Resource Systems Using Large Datasets

AU - Frey, Ulrich

AU - Rusch, Hannes

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

U2 - 10.1016/j.worlddev.2014.01.034

DO - 10.1016/j.worlddev.2014.01.034

M3 - Article

SN - 0305-750X

VL - 59

SP - 93

EP - 103

JO - World Development

JF - World Development

ER -