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Marine recreational ecosystem service value estimation: A meta-analysis with cultural considerations
Ecosystem Services ( IF 7.6 ) Pub Date : 2018-02-16 , DOI: 10.1016/j.ecoser.2018.02.001
Stephen Hynes , Andrea Ghermandi , Daniel Norton , Heidi Williams

Marine and coastal ecosystems provide a wide variety of recreational opportunities that are highly valued by society. For the purposes of conducting a meta-analysis we build an extensive global dataset of marine recreational ecosystem service values from the literature. Using this database we developed a number of meta-regression specifications with the objective of evaluating the study specific effects of location, ecosystem, valuation methodology and statistical estimation methods on the reported value estimates. Furthermore, the paper investigates if cultural differences between studies are an important determinant that should be considered in international (meta-analytical) value transfer. This was achieved by including a number of cultural parameters from previous societal studies and surveys into our meta-regression models. We found that accounting for differences in cultural dimensions across recreation valuation studies had a significant influence on value estimates. While a multi-level modelling approach that controls for study effects, proved to be a better fit than a standard one level specification, we found that the absolute in-sample transfer errors associated with the standard OLS model were slightly less on average based on the differences between the actual and predicted values in our meta-database.



中文翻译:

海洋休闲生态系统服务价值估算:基于文化因素的荟萃分析

海洋和沿海生态系统提供了各种各样的娱乐机会,社会高度重视。为了进行荟萃分析,我们从文献中构建了一个广泛的全球海洋休闲生态系统服务价值数据集。使用该数据库,我们开发了许多元回归规范,目的是评估研究位置,生态系统,评估方法和统计估计方法对报告的价值估计的特定影响。此外,本文研究了研究之间的文化差异是否是在国际(元分析)价值转移中应考虑的重要决定因素。这是通过将以前的社会研究和调查中的许多文化参数纳入我们的元回归模型来实现的。我们发现,在娱乐价值评估研究中考虑文化维度差异对价值估计有重大影响。尽管事实证明,控制研究效果的多层次建模方法比标准的一级规范更适合,但我们发现,与标准的OLS模型相关的绝对样本内转移误差平均比基于标准OLS模型的误差要小一些。元数据库中实际值和预测值之间的差异。

更新日期:2018-02-16
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