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Analysis on Willingness to Pay for Environmental Services and Its Impacts in Jinhua River

机译:对环境服务支付愿意分析及其在金华河的影响

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摘要

Natural environments provide a wide variety of goods and services to a country's population. Many of these goods and services are provided indirectly - that is, there is no explicit link between the service providers and the users of the services. This is usually due to the spatial separation between the environmental services providers and the users of the same environmental service.As a result, Ecosystem managers have little economic incentive to improve environmental management, the environment is often degraded in many places and the environmental services are not enough for users. The survey of Willingness To Pay (WTP) and the analysis of influencing factors are of great help to the establishement of ecological compensation mechnism. Contingent Valuation Method (CVM) is adopted to evaluate WTP of local residents along Jinhua River Basin for environmental services and Ordered Probit Model & Binary Probit Model is used to analyze the influencing factors of the maximum WTP and the payment mode. The results indicate that, among those residents, 78.4% residents have the WTP, with average maximum WTP of RMB 24.87 per household/month and RMB 298.46 per household/year; maximum WTP has a positive correlation with education level and income; importance of environment to economy shows little significant influence on maximum WTP; age and maximum WTP follow quadratic function relation; the importance of environment to economy and education level lead to the larger probability to pay the ecological compensation taxes; gender, age, whether suffered from pollution disaster or not and maximum WTP have no obvious influence on residents' choice of payment modes.
机译:自然环境为一个国家的人口提供各种各样的商品和服务。这些商品和服务中的许多是间接提供的 - 也就是说,服务提供商和服务的用户之间没有明确的链接。这通常是由于环境服务提供商与同一环保服务的用户之间的空间分离。结果,生态系统经理几乎没有经济动力,改善环境管理,环境往往在许多地方退化,环境服务往往对用户不够。支付意愿(WTP)和对影响因素分析的调查对生态补偿机械主义的建立有很大的帮助。采用各种估值方法(CVM)评估金华河流域沿金华河流域的当地居民的WTP,并有序探测模型和二元探测模型用于分析最大WTP的影响因素和支付模式。结果表明,在这些居民中,78.4%的居民有WTP,平均最大WTP每家庭/月/月24.87元及人民币298.46元;最大WTP与教育水平和收入有正相关;环境对经济的重要性表现出对最大WTP的显着影响很大;年龄和最大WTP遵循二次函数关系;环境对经济和教育水平的重要性导致额外支付生态赔偿税的概率更大;性别,年龄,无论是污染灾难还是最大的WTP对居民的付款方式没有明显影响。

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