The Sustainable Management of Land and Fisheries Resources Using Multicriteria Techniques: A Meta-Analysis
Luis Diaz-Balteiro,
Carlos Iglesias-Merchan,
Carlos Romero and
Silvestre García de Jalón
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Luis Diaz-Balteiro: School of Forest Engineering and Natural Resources, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Carlos Iglesias-Merchan: School of Forest Engineering and Natural Resources, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Carlos Romero: School of Forest Engineering and Natural Resources, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Silvestre García de Jalón: School of Agronomic Engineering, Food and Bio-Systems, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Land, 2020, vol. 9, issue 10, 1-18
Abstract:
In recent years modern societies have attached a multifunctional requirement to the use of renewable resources, making their optimal sustainable management more complex. In the last decades, in many cases, this complexity is addressed by formulating management models with the help of the concepts and methods belonging to the well-known multicriteria decision-making (MCDM) paradigm. The purpose of this paper was to undertake a hermeneutic meta-analysis of the literature provided in primary journals on issues related to the management of these resources with the help of the MCDM paradigm. In this way, the paper aimed to obtain new, basic insights with considerations that might improve the efficiency of future research in the field studied. The meta-analysis was implemented by formulating and testing a battery of hypotheses of how the MCDM methods have been used in the past for the formulation of management models for the type of resource analyzed.
Keywords: agriculture; forestry; meta-analysis; multicriteria decision-making; sustainability (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:9:y:2020:i:10:p:380-:d:424953
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