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作 者:郭晶[1,2] 陈凯 GUO Jing;CHEN Kai(School of Economics,Ocean University of China,Qingdao 266100,China;Institute of Marine Development of Ocean University of China,Qingdao 266100,China)
机构地区:[1]中国海洋大学经济学院,青岛266100 [2]中国海洋大学海洋发展研究院,青岛266100
出 处:《海洋经济》2024年第6期20-29,共10页Marine Economy
基 金:山东省社会科学规划研究项目[19CQXJ44]。
摘 要:基于1996-2021年期间面板数据使用陈述偏好法研究中国海洋生态系统服务价值的文章,采用多层次(HLM)建模方法对海洋生态系统服务价值进行Meta分析。结果显示:影响中国海洋生态系统服务价值估算的因素有很多,包括生态系统面积、生态系统类型、受访者身份、地区人均GDP(国内生产总值)、被评估的生态系统服务类型、评估方法和采用的假设情境。Meta回归结果还表明:在中国,为海洋生态系统服务付费的意愿很大程度上取决于人们对生态系统服务重要性的认识,而这种认识又受到国家政策、教育程度以及生态服务与人们生活联系程度的影响。人们对沿海湿地和娱乐服务有较高的支付意愿,就证明了这一点。此外还发现人们最愿意为生态保护情境付费,而为生态环境补偿情境付费的意愿较低。研究结果有助于中国海洋生态系统服务估值的进一步研究,并且通过探索不同因素对价值估计的影响,可将结果纳入生态系统的管理决策中。Based on stated preference valuation studies of China's marine ecosystem services,carried out between 1996 and 2021,this paper presents a meta-analysis of marine ecosystem services benefit estimates using a Hierarchical Linear Modeling(HLM)approach.Results indicate a range of factors that influence the estimated economic values of China's marine ecosystem services,including ecosystem area,type of ecosystem,respondent's identity,regional GDP per-capita,ecosystem services being valued,valuation method and hypothetical scenario being employed.The meta-regression results also indicate that willingness to pay for marine ecosystem services in China depends largely on people's perception of the importance of the ecosystem services,which is influenced by national policies,educational levels,and the degree of connection between these services and people's lives.This is evidenced by the fact that people have a higher willingness to pay for coastal wetlands and recreational services.Furthermore,it was found that people are most willing to pay for conservation scenarios,contrasting with lower willingness for environmental compensation scenarios.These findings contribute to research on the valuation of marine ecosystem services in China and to the incorporation of the results into ecosystem-based management decisions by clarifying the effects of different factors on the valuation estimates.
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