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评估水生态修复措施对改善生态系统服务和减少洪灾风险的效果。

Assessment of renaturation measures for improvements in ecosystem services and flood risk mitigation.

机构信息

Department of Political and Social Sciences, University of Cagliari, via Sant'Ignazio, 78, IT-09123, Cagliari, Italy.

Department of Economics and Business, University of Cagliari, via Sant'Ignazio, 17, IT-09123, Cagliari, Italy.

出版信息

J Environ Manage. 2021 Aug 15;292:112743. doi: 10.1016/j.jenvman.2021.112743. Epub 2021 May 19.

Abstract

The present paper offers a contribution to the research on social acceptance of interventions aimed at water ecosystem improvement and flood risk mitigation through renaturation measures. A CE study has been implemented to assess trade-offs between attributes of alternative projects, including social costs deriving from proposed actions of renaturation of river flows. The aim of our approach is to investigate the role of attitudinal factors in the valuation of costs and benefits generated by renaturation measures. A Hybrid Latent Class (HLC) model is applied to the data, revealing the existence of two distinct groups, characterised by different valuations of the attributes of the project. It is found that class membership depends on latent attitudes toward environmental protection and risk perception. Our study confirms the fruitfulness of the HLC modelling approach in stated preference studies regarding ecosystems valuation, as it provides a richer understanding of public preferences and allows more finely targeted policy indications.

摘要

本文为通过自然恢复措施改善水生态系统和减轻洪水风险的干预措施的社会接受度研究做出了贡献。通过成本效益分析研究,评估了替代项目的属性之间的权衡,包括因河流自然恢复而产生的社会成本。我们的方法旨在调查态度因素在评估自然恢复措施所产生的成本和收益方面的作用。应用混合潜在类别 (HLC) 模型对数据进行分析,结果表明存在两个不同的群体,其对项目属性的评估存在差异。结果发现,类别归属取决于对环境保护和风险认知的潜在态度。本研究证实了混合潜在类别模型在生态系统价值评估的陈述偏好研究中的有效性,因为它提供了对公众偏好的更深入理解,并允许更有针对性的政策指示。

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