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Forest dependence and participation in CPR management: Empirical evidence from forest co-management in Malawi
Institution:1. Centre for Agricultural Research and Development, Agricultural Policy Research Unit, University of Malawi, Bunda College, P.O. Box 219, Lilongwe, Malawi;2. Department of Economics and Resource Management, Norwegian University of Life Sciences, PB 5003, N-1432, Aas, Norway;3. Center for International Forestry Research (CIFOR), Bogor, Indonesia;1. Jiangsu Province Key Laboratory for Molecular and Medical Biotechnology, Life Sciences College, Nanjing Normal University, Nanjing 210046, China;2. Jiangsu Province Key Laboratory for Aquatic Crustacean Diseases, Life Sciences College, Nanjing Normal University, Nanjing 210046, China;3. Xuan Cheng Yangtze Alligator Breeding and Research Center of Anhui Province, Xuan Cheng 242000, China;4. Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China;1. Department of Economics with Rural Development, Vidyasagar University, Midnapore, West Bengal, India;2. AF Mercados EMI, Ankara, Turkey;3. ECORYS Research and Consulting, Ankara, Turkey;4. Department of Zoology, Garhbeta College, Midnapore, West Bengal, India;1. Forestry Research Institute of Palembang, Ministry of Forestry, Indonesia;2. School of Economics and Management, Kochi University of Technology, 185 Miyanokuchi, Tosayamada-cho, Kami-shi, Kochi 782-8502, Japan;3. Graduate School of International Relations, International University of Japan, 777 Kokusai-cho, Minami-Uonuma, Niigata 949-7277, Japan;1. Center for International Forestry Research (CIFOR), C/O Centro Internacional de la Papa (CIP), Av. La Molina 1895, La Molina, Lima 12, Peru;2. Dala Institute, Grand Slipi Tower 9G floor, Jl. Letjend S. Parman Kav 22-24, Jakarta Barat 11480, Indonesia
Abstract:We develop an endogenous sample selection model to investigate how forest dependence influences a household's decision to participate in forest co-management program. Using data from Chimaliro and Liwonde forest reserves in Malawi, we find that where forests primarily have a gap filling or safety net role in Chimaliro, high forest dependency induces higher rates of participation. However, with more commercial forest uses and a more heterogeneous social context as in Liwonde, high forest dependency reduces the incentives for participation. The findings point to the need to design parallel interventions alongside the forest co-management program in order to provide supplementary income sources to participants and increase the incentives for participation.
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