A global meta-analysis consisting of almost three decades of groundwater quality valuation studies is presented. New in this study is the focus on the uncertainties surrounding different groundwater quality levels and the control included for groundwater contaminants originating from agriculture and other sources. Separate meta-regression models are estimated for the USA, Europe and the World, detecting sensitivity to scope and reference dependence. Public willingness to pay appears more sensitive to uncertainty in the baseline scenario than in the policy scenario. The high explanatory power of the estimated meta-regression models and low prediction errors provide confidence in their usefulness for reliable benefits transfer.

中文翻译：

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地下水质量评估研究的全球荟萃分析

提出了一项全球荟萃分析，包括近三十年的地下水质量评估研究。本研究的新重点是围绕不同地下水质量水平的不确定性，以及对源自农业和其他来源的地下水污染物的控制措施。估计了美国，欧洲和世界的单独的元回归模型，以检测对范围和参考依赖性的敏感性。与政策情景相比，基线情景下的公众支付意愿似乎对不确定性更为敏感。估计的元回归模型的高解释能力和低预测误差为他们在可靠的利益转移中的有效性提供了信心。