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The Research Of Weihe River Basin’s Ecological Compensation Standard Based On The Contingent Valuation Method

Posted on:2015-08-29Degree:MasterType:Thesis
Country:ChinaCandidate:J LinFull Text:PDF
GTID:2181330431964584Subject:Environmental engineering
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As one of the main carrier of ecosystem services, watershed resources isirreplaceable important resources, which is the human’s survival and developmentdepend on. In order to improve river basin ecological environment, realize thecontradiction between different administrative areas in the basin, achieve win-win andsharing, problem of upstream and downstream water distribution and water qualityprotection must be solved. Ecological compensation system has gradually shown itssuperiority in river basin water resources management. The Wei he basin river is thelargest river in Wei fang (246km),and it’s main water source for more than1millionpeople in Weifang. the study of Wei he river basin ecological compensationmechanism is the important measure of protection of river basin ecologicalenvironment condition.This research select contingent value method to evaluate Wei He watershedecosystem’s services value, to provide theoretical basis for the establishment of WeiHe river basin ecological compensation standard. The main research results are asfollows:(1)The paper design the questionnaireon reasonable by the questionnaire designtechnique on the basis of on-the-spot investigation. Use payment card guidetechnology to guide residents to select the greatest WTP and WTA. Complete500questionnaires by on-the-spot investigation in Zhucheng,Gaomi, Anqiu, Fangzi,Changyi,five cities of Weifang.(2)On the basis of statistical data, use the gray GM (1.1) model to predictresidents’ willingness to pay (WTP) and willingness to accept(WTA) of Wei He basinecological compensation. predicte Wei He basin’s E (WTP) is15.367yuan/(percapita), E (WTA) is30.863yuan/(per capita). The total population of Weifang is9.0862million in2013, take210.0275million yuan/month which is the average ofWTP and WTA as Wei He river basin ecological compensation standard. Solved the problem of low standard of ecological compensation when survey respondents’ WTPsingly, to be true representation of the respondents‘actually intend to compensate ofWei He river basin.(3)In order to effectively analyze the influence factors of payment willing andaccept willing in contingent valuation method,a new approach is put forward in thispaper, which measures random variables and influence factors through entropy weightmethod. The entropy weight method has many advantages including comprehensiveevaluation of information, less affected by man-made factors and the advantages ofsimple computation. Compared with the2evaluation method, the new approach isproved to be correct and efficient.From the entropy weigh of six indicators of WTPrule layer, professional index is one of the important indicators affect residents’ WTP,its weight is0.3817. Followed by age, personal monthly income and education levelwhich weight is0.1962、0.1917and0.1607.Gender and Whether through waterpollution disasters has impact on the residents’ WTP which weight is0.0364and0.0332. From the entropy weigh of six indicators of WTA rule layer, professionalindex is the most important indicators affect residents’ WTA, Followed by age,personal monthly income and education level which weight is0.2008、0.1699and0.1509..Gender and Whether through water pollution disasters has impact on theresidents’ WTP which weight is0.047and0.0491.(4)Finally, according to the study of conditions value method of Wei Hewatershed,some suggestions are put forward about Weifang river basin ecologicalcompensation: Improve the government’s fiscal transfer payment policy. Promote thepublic participation, finish watershed environment sharing and benefit sharing, inaddition to the construction of river basin ecological compensation system.Strengthen environmental protection of Wei He watershed Promote clean productionand reduce pollution from the source.
Keywords/Search Tags:river basin ecological compensation, the condition value method, theGM (1.1) model, the entropy weight method
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