Household willingness to pay for stream restoration on private and public land: Evidence from the Baltimore metropolitan region

被引:0
作者
Rosenberg, Andrew B. [1 ]
Newburn, David A. [2 ]
Towe, Charles A. [3 ]
机构
[1] USDA, Econ Res Serv, Kansas City, MO 64105 USA
[2] Univ Maryland, Dept Agr & Resource Econ, College Pk, MD 20742 USA
[3] Univ Connecticut, Dept Agr & Resource Econ, Storrs, CT USA
来源
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION | 2023年 / 59卷 / 02期
关键词
stated preference; choice experiment; nonmarket valuation; stormwater management; water quality; water quality economics; CONTINGENT VALUATION; CHOICE; DISTANCE; HETEROGENEITY; PRESERVATION; PREFERENCES; FARMLAND; ECOLOGY; WTP;
D O I
10.1111/1752-1688.13089
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Stream restoration is one of the most widely used interventions to mitigate urban stormwater impacts and improve water quality. Government agencies have typically focused urban stream restoration efforts on public lands that they already own, even though a substantial portion of stream miles in highly urbanized areas occur on privately owned land. Yet, limited research exists to distinguish household willingness to pay (WTP) for stream restoration occurring on private versus public land. In this study, we use a choice experiment to analyze how household WTP for stream restoration attributes vary by land ownership and distance to the restoration project. Our empirical results indicate that streambank stabilization approaches have positive WTP estimates that are substantially larger in magnitude than those related to riparian vegetation management for clearing or planting trees. In general, estimated total household WTP for each of the four restoration design scenarios on public land is higher than when the same restoration design is located on private land. Nonetheless, estimated household WTP for each restoration design scenario on private land is substantial, retaining the majority of the value found on public land in all cases.
引用
收藏
页码:376 / 395
页数:20
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