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Study of impact factors of willingness to pay regarding water reserve of South-to-North Water Diversion Project in Beijing based on Bayesian network model

机译:基于贝叶斯网络模型的北京市南水北调工程支付意愿的影响因素研究

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The contingent valuation method is used to study the service value regarding the water resources reservation of the South-to-North Water Diversion Project in Beijing. The analysis results illustrate that the mean willingness to pay (WTP) is 42.15 CNY per permanent resident of Beijing. We propose a WTP analysis model based on the Bayesian network for its obvious advantages compared to previous models. The results demonstrate certain factors crucial to WTP, including "public support for the project expenditure of financial, material, and human resources to reserve water resources", "willingness to participate in public benefit activities", "public cognition of water scarcity in Beijing", "monthly family income", and "knowledge of the project". This study concentrates on the variables that are of most concern to the government, including "education background", "occupation", "public cognition of water scarcity in Beijing", and "public awareness of the SNWDP". The future of China's environmental strategy will gradually be market-oriented, and this study also provides a basis for the government to gain insight into public payment behaviour impact factors and set policies. (C) 2018 Elsevier Ltd. All rights reserved.
机译:采用或有估值法研究北京市南水北调工程水资源储备的服务价值。分析结果表明,每位北京永久居民的平均支付意愿(WTP)为42.15元。与以前的模型相比,我们提出了一种基于贝叶斯网络的WTP分析模型。结果表明,某些对WTP至关重要的因素包括“公共支持项目的财政,物力和人力资源支出以储备水资源”,“愿意参与公益活动”,“公众对北京水资源短缺的认识”。 ,“家庭月收入”和“项目知识”。这项研究集中在政府最关注的变量上,包括“教育背景”,“职业”,“北京对缺水的公众认知”和“ SNWDP的公众意识”。中国环境战略的未来将逐步以市场为导向,该研究也为政府深入了解公共支付行为的影响因素和制定政策提供了基础。 (C)2018 Elsevier Ltd.保留所有权利。

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