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Valuing water quality improvements in the United States using meta-analysis: Is the glass half-full or half-empty for national policy analysis?

机译:使用荟萃分析评估美国的水质改善:对于国家政策分析,玻璃是半满还是半空?

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摘要

The literature estimating the economic value for water quality changes has grown considerably over the last 30 years, resulting in an expanded pool of information potentially available to support national and regional policy analysis. Using 131 willingness to pay estimates from 18 studies that use a similar definition of water quality, we performed a meta-regression analysis and found mixed results. We find that WTP varies in systematic and expected ways with respect to factors such as the size of the water quality changes, average household income, and use/nonuse characteristics of respondents. As a whole, we conclude that our metaregression results provide a reasonable basis for estimating expected WTP values for defined changes in water quality. However, despite a large number of existing economic valuation studies, relatively few could be meaningfully combined through meta-analysis due to heterogeneity in the commodities being valued in the original studies. Based on these findings, we provide recommendations for future research, including suggestions regarding more standardized approaches for defining water quality and reporting information in valuation studies.
机译:在过去的30年中,估计水质变化的经济价值的文献已经大大增加,导致潜在的信息量扩大,可用于支持国家和地区政策分析。我们使用131个愿意支付的费用(来自18个使用类似水质定义的研究)的估算,我们进行了荟萃回归分析,发现结果不一。我们发现,WTP在诸如水质变化的大小,家庭平均收入以及受访者的使用/不使用特征等因素方面以系统和预期的方式变化。总体而言,我们得出结论,我们的元回归结果为估算水质定义变化的预期WTP值提供了合理的基础。然而,尽管已有大量的经济评估研究,但由于原始研究中所评估的商品的异质性,通过荟萃分析可以有意义地结合相对较少。基于这些发现,我们为未来的研究提供建议,包括有关在评估研究中定义水质和报告信息的更标准化方法的建议。

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