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Estimating non-market environmental benefits of the Conversion of Cropland to Forest and Grassland Program: A choice modeling approach

机译:估算退耕还林和草场计划的非市场环境效益:一种选择建模方法

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摘要

The non-market values of the environmental benefits derived from the Conversion of Cropland to Forest and Grassland Program (also known as the Grain for Green Program and the Sloped Land Conversion Program) in the Loess Plateau region of North West China were estimated using choice modeling both on-site in Xi'an and Ansai and off-site in Beijing. Separate choice models were estimated for the three sites and the results compared. Significant differences were found between the implicit price estimates derived from the multinomial logit (MNL) model and the random parameter logit (RPL) model for some environmental attributes. Based on the results from the RPL models, the average willingness to pay per respondent household in Beijing was CNY882.56 (USD109.44) each year for the environmental improvements on the Loess Plateau provided by the Program, a payment level significantly higher than the comparable estimates of CNY342.56 (USD42.48) in Xi'an and CNY388.08 (USD48.12) in Ansai.
机译:使用选择模型估算了西北黄土高原地区退耕还林和草地计划(也称为“退耕还林计划”和“退耕还林计划”)所带来的环境效益的非市场价值。在西安和安赛都设有现场服务,在北京则设有非现场服务。估计了三个地点的单独选择模型,并比较了结果。对于某些环境属性,从多项式logit(MNL)模型得出的隐式价格估计与随机参数logit(RPL)模型得出的价格之间存在显着差异。根据RPL模型的结果,北京市针对该项目在黄土高原地区进行的环境改善活动平均每年愿意为每户受访者支付882.56元人民币(109.44美元),其支付水平明显高于该项目的支付水平。西安地区为342.56元人民币(42.48美元),安赛地区为388.08元人民币(48.12美元)。

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