Downloads provided by UsageCounts
Auctions have attracted growing attention as bidding mechanisms for soliciting or allocating payments for a wide range of ecosystem services (ES). This paper reviews the latest scientific knowledge on ES auctioning approaches. Using systematically selected academic articles, we trace and discuss the development of ES auction literature across space, time, target ecosystem, and mechanism type. We integrate previous attempts to organize this body of work to produce a composite factor map of entry points to more specialized sub-literatures engaging with current issues in auction design and implementation. The results show that most academic work focuses on reverse auctions, where landowners bid their willingness to accept contracts to protect or promote ES provisioning, but we also locate several forward (i.e. beneficiaries bid their willingness to pay for ES) and mixed mechanisms. We critically analyze major advantages and challenges for each approach, emphasizing issues related to transaction costs and accessibility for participants and agencies. Overall, our findings suggest that ES auctions have a robust track record but remain administratively and logistically challenging. Further investment in open-source tools, shared infrastructure, and other efforts to make auctions more accessible to researchers, agencies, and participants alike is strongly indicated.
Conservation of Natural Resources, Auctions, 303, Incentive mechanisms, Ecosystem Incentive mechanisms, [SHS]Humanities and Social Sciences, Platform, Costs and Cost Analysis, Humans, Ecosystem services, [SHS] Humanities and Social Sciences, Platform Land use/land cover, Ecosystem, Land use/land cover
Conservation of Natural Resources, Auctions, 303, Incentive mechanisms, Ecosystem Incentive mechanisms, [SHS]Humanities and Social Sciences, Platform, Costs and Cost Analysis, Humans, Ecosystem services, [SHS] Humanities and Social Sciences, Platform Land use/land cover, Ecosystem, Land use/land cover
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 1 | |
| downloads | 16 |

Views provided by UsageCounts
Downloads provided by UsageCounts