测试结构模型的稳健性,以识别生态系统服务的使用和非使用价值

IF 1.3 Q3 AGRICULTURAL ECONOMICS & POLICY
Hyunjung Kim, Frank Lupi
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引用次数: 0

摘要

一个理论上一致的结构模型有助于定义和测量生态系统服务的利用和非利用效益。与之前许多利用多重陈述选择情况的方法不同,我们将这一概念框架应用于旅行成本随机实用模型和相应的单一公投条件评估研究设计,以同时估计使用和不使用为环境质量改善付费的意愿。我们使用蒙特卡罗生成的数据来评估关键参数的属性,并检查这种测量与质量变化相关的使用和非使用值的方法的稳健性。模拟研究证实,这种新方法结合模拟的显示和声明偏好数据,通常(但并非总是)可以成功地识别各种生态系统的使用和非使用价值,同时确保一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing the robustness of a structural model for discerning use and non-use values of ecosystem services
Abstract A theoretically consistent structural model facilitates definition and measurement of use and non-use benefits of ecosystem services. Unlike many previous approaches that utilize multiple stated choice situations, we apply this conceptual framework to a travel cost random utility model and a consequential single referendum contingent valuation research design for simultaneously estimating use and non-use willingness to pay for environmental quality improvement. We employ Monte Carlo generated data to evaluate properties of key parameters and examine the robustness of this method of measuring use and non-use values associated with quality change. The simulation study confirms that this new method, combined with simulated revealed and stated preference data can generally, but not always, be applied to successfully identify use and non-use values of various ecosystems while consistency is ensured.
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来源期刊
Agricultural and Resource Economics Review
Agricultural and Resource Economics Review AGRICULTURAL ECONOMICS & POLICY-
CiteScore
2.20
自引率
0.00%
发文量
23
审稿时长
19 weeks
期刊介绍: The purpose of the Review is to foster and disseminate professional thought and literature relating to the economics of agriculture, natural resources, and community development. It is published twice a year in April and October. In addition to normal refereed articles, it also publishes invited papers presented at the annual meetings of the NAREA as well as abstracts of selected papers presented at those meetings. The Review was formerly known as the Northeastern Journal of Agricultural and Resource Economics
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