Collaborative models and uncertain water quality in payments for watershed services: China’s Jiuzhou River eco-compensation

IF 6.1 2区 环境科学与生态学 Q1 ECOLOGY
Jichuan Sheng , Hongqiang Yang
{"title":"Collaborative models and uncertain water quality in payments for watershed services: China’s Jiuzhou River eco-compensation","authors":"Jichuan Sheng ,&nbsp;Hongqiang Yang","doi":"10.1016/j.ecoser.2024.101671","DOIUrl":null,"url":null,"abstract":"<div><div>As Payments for Watershed Services (PWS) schemes are widely implemented around the world, determining downstream payment rates based on expected water quality is critical to designing efficient PWS schemes. Combined with a case study of the Jiuzhou River Horizontal Eco-compensation (JRBHE) in China, this study builds a stochastic differential game model of PWS considering water quality uncertainty. Using this model, this study explores how water quality uncertainty affects the decision-making of watershed protection behaviors of various stakeholders in PWS. In comparing changes in stakeholder watershed protection behaviors in multiple JRBHE scenarios, this study argues that the collaborative eco-compensation model in the PWS can achieve social optimality as it can coordinate multi-stakeholder goals regarding watershed services and water quality. In addition, this study also emphasizes that the collaborative eco-compensation model is riskier than the existing horizontal eco-compensation model due to water quality uncertainty, and penalties aimed at reducing risk are often necessary for the collaborative eco-compensation model. Finally, this study highlights that designing incentive-compatible PWS schemes remains challenging because both water quality uncertainty and stakeholders’ risk preferences influence their ultimate watershed protection behavior.</div></div>","PeriodicalId":51312,"journal":{"name":"Ecosystem Services","volume":null,"pages":null},"PeriodicalIF":6.1000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecosystem Services","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212041624000780","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

As Payments for Watershed Services (PWS) schemes are widely implemented around the world, determining downstream payment rates based on expected water quality is critical to designing efficient PWS schemes. Combined with a case study of the Jiuzhou River Horizontal Eco-compensation (JRBHE) in China, this study builds a stochastic differential game model of PWS considering water quality uncertainty. Using this model, this study explores how water quality uncertainty affects the decision-making of watershed protection behaviors of various stakeholders in PWS. In comparing changes in stakeholder watershed protection behaviors in multiple JRBHE scenarios, this study argues that the collaborative eco-compensation model in the PWS can achieve social optimality as it can coordinate multi-stakeholder goals regarding watershed services and water quality. In addition, this study also emphasizes that the collaborative eco-compensation model is riskier than the existing horizontal eco-compensation model due to water quality uncertainty, and penalties aimed at reducing risk are often necessary for the collaborative eco-compensation model. Finally, this study highlights that designing incentive-compatible PWS schemes remains challenging because both water quality uncertainty and stakeholders’ risk preferences influence their ultimate watershed protection behavior.
流域服务补偿中的合作模式与不确定水质:中国九洲江生态补偿
随着流域服务付费计划(PWS)在全球的广泛实施,根据预期水质确定下游付费率对于设计高效的 PWS 计划至关重要。本研究结合中国九洲江横向生态补偿(JRBHE)案例研究,建立了一个考虑水质不确定性的随机微分博弈模型。利用该模型,本研究探讨了水质的不确定性如何影响各利益相关者的流域保护行为决策。通过比较多个 JRBHE 情景下利益相关者流域保护行为的变化,本研究认为 PWS 中的协作生态补偿模型可以协调多方利益相关者在流域服务和水质方面的目标,从而实现社会最优。此外,本研究还强调,由于水质的不确定性,合作生态补偿模式比现有的横向生态补偿模式风险更大,因此合作生态补偿模式往往需要旨在降低风险的惩罚措施。最后,本研究强调,由于水质的不确定性和利益相关者的风险偏好都会影响其最终的流域保护行为,因此设计激励相容的公共工程系统方案仍具有挑战性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Ecosystem Services
Ecosystem Services ECOLOGYENVIRONMENTAL SCIENCES&-ENVIRONMENTAL SCIENCES
CiteScore
14.90
自引率
7.90%
发文量
109
期刊介绍: Ecosystem Services is an international, interdisciplinary journal that is associated with the Ecosystem Services Partnership (ESP). The journal is dedicated to exploring the science, policy, and practice related to ecosystem services, which are the various ways in which ecosystems contribute to human well-being, both directly and indirectly. Ecosystem Services contributes to the broader goal of ensuring that the benefits of ecosystems are recognized, valued, and sustainably managed for the well-being of current and future generations. The journal serves as a platform for scholars, practitioners, policymakers, and other stakeholders to share their findings and insights, fostering collaboration and innovation in the field of ecosystem services.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信