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Analysis Influence Factors Of Forest Farmers’ Willingness To Participate In The Forest Carbon Sink Mortgage Loan

Posted on:2015-02-10Degree:MasterType:Thesis
Country:ChinaCandidate:D ZhangFull Text:PDF
GTID:2309330434465366Subject:Accounting
Abstract/Summary:PDF Full Text Request
In recent years, China has become the world’s second largest economy, but also increasesin greenhouse gases, frequency of extreme weather. Forest vegetation can absorb greenhousegases, thereby reducing the concentration of the gas in the atmosphere, and this is the role offorest carbon sinks, and vigorously promote the construction of forestry, increase forestcarbon sinks and help alleviate global warming. However, faced with the financing of forestrysingle, over-reliance on government and other problems, resulting in forestry into a "beggarholding a golden rice bowl" embarrassment. Therefore, the implementation of forest carbonsinks mortgage, the introduction of market mechanisms to help broaden the financingchannels forestry, change the growth mode, play the economic benefits of forest carbon sinksto achieve sustainable forestry development.In this paper, Foping County, Shaanxi Province,to the theory of public goods, externalities theory, economic theory and farmers ternaryinteraction theory, the use of structural equation analysis of the factors affecting farmers’participation in forest carbon sinks willingness mortgages, as well as the role ofinter-relationship factors.In this paper, Foping County, Shaanxi Province, to the theory of public goods,externalities theory, economic theory and farmers ternary interaction theory, the use ofstructural equation analysis of the factors affecting farmers’ participation in forest carbonsinks willingness mortgages, as well as the role of inter-relationship factors.First, the index factors involved in forest carbon sinks farmers willingness to determinethe impact of the mortgage, including foresters characteristics, production and operationcharacteristics and policies completeness of the three endogenous variables and13explanatory variables. And through field visits Foping County farmers obtain effective rawdata. Secondly, the original data reliability and validity testing, exclusion of per capita forestarea, forest revenue proportion of total personal income, other loan conditions and trafficconditions of these four factors was not significant, and using SPSS17.0software for farmersfactors affecting willingness to participate in the factor analysis. Finally, AMOS17.0software,build structural equation model, by fitting the model and modified, the key factor affectingfarmers’ willingness to participate in the draw. The study found that farmers characteristics, production and operation characteristics,and policies for farmers completeness willingness to participate directly or indirectly have apositive impact. Among them, the most significant factors are produced: a mortgage interestrate of forest carbon sinks, forests insurance system, carbon sinks realization of assets and theextent of farmers’ awareness of the difficulty of forest carbon sinks. According to the modelanalysis, we propose the following four proposals: first, to reduce forest carbon sinksmortgage costs, simplify loan procedures; Second, increase forest carbon sinks insurance andrisk protection mechanisms established; Third, build carbon trading platform, improve theregulatory mechanism; fourth, increase forest carbon sinks propaganda, raise farmers’awareness level. More than a few suggestions, hoping to broaden the financing channelsforestry, forestry shortage of funds to break the bottleneck for the study of mortgage lendingmechanism of forest carbon sinks provide theoretical contributions.
Keywords/Search Tags:forest carbon sink, mortgage loan, farmers’ willingness, influence factor, structural equation
PDF Full Text Request
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