Abstract
To effectively quantify and control the credit risk of forest farmers under internet crowdfunding mode, the combined weighting of norm grey correlation, the improved analytic hierarchy process and empirical mode decomposition method are proposed to measure the credit risk, and the interval rough number DEMATEL method is used to analyze the credit risk factors of forest farmers. Through the calculation of comprehensive influence degree, it is concluded that the degree of investor information asymmetry, the intensity of supervision, the degree of innovation and cooperation between funders and investors are the main credit risk factors of forest farmers under internet crowdfunding mode, and a credit risk control mechanism is constructed according to the main credit risk factors to effectively improve the risk management and control level of forest farmers.
Funder
the Zhejiang Provincial Planning Projects of Philosophy and Social Science
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Reference58 articles.
1. Bureau of Forestry: The Reform of the Main Body of China’s Collective Forest Property Right System Has Been Basically Completedhttp://www.chinanews.com/gn/2014/01-13/5728511.shtml
2. An empirical analysis of the influencing factors of credit demand and financing channel preference;Ma;Chin. Rural. Econ.,2012
3. Agroforestry system reduces subsurface lateral flow and nitrate loss in Jiangxi Province, China
4. Farmer’s adaptive strategies on land competition between societal outcomes and agroecosystem conservation in the purple-soiled hilly region, southwestern China
5. Discussion about constructing a long-term mechanism of China’s rural household credit guarantee;Zhu;J. Fujian Norm. Univ.,2010
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