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A new public appraisal method for valuating ecosystem services: A case study in the Wuyishan area, China
- Source :
- Journal of Cleaner Production. 286:124973
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Revealing the value of ecosystem services is a prerequisite for economic decision-making to maintain life-support functions, yet how to make the valuating process more universally and extensively applicable remains poorly defined. Herein, we developed a public appraisal method (PAM) to let ecosystem services be appraised by the public directly. Inspired by cultural relic identification, the PAM included four steps: categorize real services, build a virtual market, conduct the public appraisal, and produce a valuation list. Taking the Wuyishan forest ecosystem as a study case, we verified the effectiveness of PAM by comparing it with the traditional comprehensive method (TCM). The total value of ecosystem services assessed by PAM was ¥181.6 billion/year, compared with ¥222.3 billion/year for TCM. A new index, called environmental risk perception (ERP), was introduced. The ERP model was used to analyze the differences in the valuation results, as well as to improve the accuracy of PAM valuation. By building a virtual market for real services, we provide a simple valuation method that can be widely applied for value assessment and importance ranking of multiple ecosystem services.
- Subjects :
- Renewable Energy, Sustainability and the Environment
020209 energy
Strategy and Management
05 social sciences
02 engineering and technology
Environmental economics
Industrial and Manufacturing Engineering
Ecosystem services
Environmental risk
Forest ecology
050501 criminology
0202 electrical engineering, electronic engineering, information engineering
Value assessment
Business
China
0505 law
General Environmental Science
Valuation (finance)
Subjects
Details
- ISSN :
- 09596526
- Volume :
- 286
- Database :
- OpenAIRE
- Journal :
- Journal of Cleaner Production
- Accession number :
- edsair.doi...........944de223039276ff9ad2ab86a6187a4a
- Full Text :
- https://doi.org/10.1016/j.jclepro.2020.124973