An Incomplete Information Static Game Evaluating Community-Based Forest Management in Zagros, Iran

Mehdi Zandebasiri, José António Filipe, Javad Soosani, Mehdi Pourhashemi, Luca Salvati, Mário Nuno Mata and Pedro Neves Mata
Additional contact information
Mehdi Zandebasiri: Department of Forestry, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology, Behbahan 63616-47189, Iran
José António Filipe: Department of Mathematics, ISTA—School of Technology and Architecture, University Institute of Lisbon (ISCTE-IUL), Information Sciences, Technologies and Architecture Research Center (ISTAR-IUL), Business Research Unit-IUL (BRU-IUL), 1649-026 Lisbon, Portugal
Javad Soosani: Department of Forestry, Faculty of Agriculture & Natural Resources, Lorestan University, Khorramabad 6814-94414, Iran
Mehdi Pourhashemi: Forest Research Division, Research Institute of Forests and Rangelands, Agricultural Research Education and Extension Organization (AREEO), Tehran 14968-13111, Iran
Luca Salvati: Council for Agricultural Research and Economics (CREA), Research Center for Forestry and Wood, Viale S. Margherita 80, I-52100 Arezzo, Italy
Mário Nuno Mata: Lisbon Accounting and Business School Lisbon Polytechnic Institute, Avenida Miguel Bombarda 20, 1069-035 Lisbon, Portugal
Pedro Neves Mata: ISTA—University Institute of Lisbon (ISCTE-IUL), 1649-026 Lisbon, Portugal

Sustainability, 2020, vol. 12, issue 5, 1-14

Abstract: The present study adopts a game theory approach analyzing land-use planning in Zagros forests, Iran. A Static Game of Incomplete Information (SGII) was applied to the evaluation of participatory forest management in the study area. This tool allows a complete assessment of sustainable forest planning producing two modeling scenarios based on (i) high and (ii) low social acceptance. According to the SGII results, the Nash Bayesian Equilibrium (NBE) strategy suggests the importance of landscape protection in forest management. The results of the NBE analytical strategy show that landscape protection with barbed wires is the most used strategy in local forest management. The response to the local community includes cooperation in conditions of high social acceptance and noncooperation in conditions of low social acceptance. Overall, social acceptance is an adaptive goal in forest management plans.

Keywords: decision making; forest management; Nash Bayesian Equilibrium (NBE); Harsanyi’s Transformation (HT) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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