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Revealed Preference and Effectiveness of Public Investment in Ecological River Restoration Projects: An Application of the Count Data Model

机译:生态河流修复项目中公共投资的显性偏好和有效性:计数数据模型的应用

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Ecological river restoration projects aim to revitalize healthy and self-sustaining river systems that can provide irreplaceable benefits to human society. Cheonggyecheon and Anyangcheon are two sites of recent river restoration projects in Korea. To assess the economic value of two rivers, count data was collected to conduct the individual travel cost method (ITCM) in this study. Five statistical models such as the Poisson, the negative binomial, the zero-truncated Poisson, the negative binomial, and negative binomial model adjusted for both truncation and endogenous stratification were used in the analysis due to the nature of count data. Empirical results showed that regressors were statistically significant and corresponded to conventional consumer theory. Since collected count data indicated over-dispersion and endogenous stratification, the adjusted Negative Binomial was selected as an optimal model to analyze the recreational value of Cheonggyecheon and Anyangcheon. Estimates of the annual economic value of two river restoration projects were approximately US $170.1 million and US $50.5 million, respectively.
机译:生态河流修复项目旨在振兴健康,能够自我维持的河流系统,这些系统可以为人类社会带来不可替代的收益。清溪川和安养川是韩国最近的河流修复项目的两个地点。为了评估两条河流的经济价值,本研究中收集了计数数据以进行个人旅行成本法(ITCM)。由于计数数据的性质,在分析中使用了五个统计模型,例如针对截断和内生分层调整的泊松,负二项式,零截断泊松,负二项式和负二项式模型。实证结果表明,回归分析具有统计学意义,并且与传统的消费者理论相对应。由于收集的计数数据表明过度分散和内生分层,因此选择调整后的负二项式作为分析清溪川和安阳川娱乐价值的最佳模型。两个河流修复项目的年度经济价值估计分别约为1.701亿美元和5050万美元。

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