量化国家水文网络对家庭的经济价值

IF 3.1 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Kush Thakar , Neil Macdonald , Karyn Morrissey
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引用次数: 0

摘要

本研究报告了一项选择实验的结果,该实验旨在量化家庭对苏格兰河流测量计划的支付意愿。水文测量网络由苏格兰环境保护局 (SEPA) 负责运营和维护,该局是苏格兰的主要环境监管机构,也是苏格兰政府的一个非部门公共机构。混合对数模型和潜类模型的结果表明,大多数家庭("水文最大化者"--约 70%)对河流测量计划具有显著、积极的支付意愿值,但少数家庭("水文满意者"--约 30%)并不认为这是一项主要的公共政策优先事项。平均而言,水文数据收集可为苏格兰经济带来价值 84,625,562 英镑的非市场效益,最低经济效益成本比为 25:1。这还不包括基础设施价值和数据商业用户的私人收益。研究结果表明,评估水文测量网络效益的传统方法往往低估了其价值。研究还强调了公共宣传活动和家庭参与活动的重要性,以提高人们对水文气象服务的认识,并为环境观测网络的公共投资提供更充分的商业论证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying the economic value of a national hydrometric network for households
This study reports the results of a Choice Experiment to quantify households’ willingness-to-pay for river gauging programmes in Scotland. The hydrometric network is operated and maintained by the Scottish Environment Protection Agency (SEPA), Scotland’s principal environment regulator, a non-department public body of the Scottish Government. Results from mixed logit and latent class modelling show that most households (‘Hydrometric Maximisers’ − around 70 %) have significant, positive willingness-to-pay values for river gauging programmes, but a minority (‘Hydrometric Satisficers’ − around 30 %) do not view this as a major public policy priority. On average, hydrometric data collection delivers non-market benefits worth £84,625,562 to the Scottish economy, with a minimum economic Benefit-to-Cost ratio of 25:1. This is in addition to the infrastructure value and any private returns made by commercial users of the data. The findings demonstrate that traditional approaches to assessing the benefits of hydrometric networks often underestimate their value. The research also highlights the importance of public information campaigns and household engagement initiatives to increase awareness of hydro-meteorological services, and to develop the business case more fully for public investment in environmental observation networks.
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来源期刊
Journal of Hydrology X
Journal of Hydrology X Environmental Science-Water Science and Technology
CiteScore
7.00
自引率
2.50%
发文量
20
审稿时长
25 weeks
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