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An empirical analysis of the factors influencing farmer demand for forest insurance: Based on surveys from Lin’an County in Zhejiang Province of China
Institution:1. Department of Ecological Economics, Ukrainian National Forestry University, Ukraine;2. Social, Economic and Geographical Sciences Group, The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, United Kingdom;3. Energy Change Impact Research Programm, Swiss Federal Research Institute WSL, Switzerland;4. Information and Computational Sciences Group, The James Hutton Institute, Craigiebuckler, Aberdeen AB15 8QH, United Kingdom;5. NGO FORZA, Agency for Sustainable Development of Carpathian Region, Uzhhorod, Ukraine;6. Forest Resources and Management Research Programm, Swiss Federal Research Institute WSL, Switzerland;7. Centre for Development and Environment (CDE), University of Bern, Switzerland;1. United Nations University (UNU-MERIT), Maastricht, The Netherlands;2. Food and Agriculture Organization of the United Nations, Rome, Italy
Abstract:The lack of effective farmer demand is a major factor that restricts the development of China's forest insurance. To solve this problem, this study uses a Logit model to conduct an empirical analysis of relevant factors in the farmers’ demand for forest insurance, based on field survey data of Lin’an County, Zhejiang Province. The results show that the farmers’ understanding of forest insurance, the proportion of forestry revenues in the total household income, forest size, forest disaster frequency, forest insurance liability, insurance amount setup, and the farmers’ satisfaction regarding the premium subsidy policy, are the main factors that affect the farmers’ demand for forest insurance. Therefore, we propose to expand forest insurance promotion, raise the farmers’ income, rationally design insurance products, and optimize the forest premium subsidy policy to enhance the farmers’ willingness to participate in forest insurance.
Keywords:Forest insurance  Insurance demand  Influencing factors  Logit model
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