Projects per year
Abstract
The cost of providing environmental goods and services by private landholders is often highly uncertain. However, standard bidding models for conservation tenders often ignore this uncertainty. As a result, they fail to suggest suitable mechanisms to reduce the negative impact of cost uncertainty. We contribute to this knowledge gap by developing an optimal bidding model for a risky and budget-constrained tender in the presence of an embedded insurance mechanism, offering income protection. Results from our analysis show that, relative to uninsured landholders, landholders paying an actuarially fair premium tendered lower bids, potentially improving the cost effectiveness of allocating conservation contracts.
Original language | English |
---|---|
Pages (from-to) | 309-324 |
Number of pages | 16 |
Journal | Journal of Agricultural and Resource Economics |
Volume | 48 |
Issue number | 2 |
DOIs | |
Publication status | Published - May 2023 |
Fingerprint
Dive into the research topics of 'Mitigating Risky Conservation Tenders: Can an Insurance Mechanism Be a Solution?'. Together they form a unique fingerprint.-
Designing for uncertainty in conservation auctions
Schilizzi, S. (Investigator 01), Rolfe, J. (Investigator 02), Boxall, P. (Investigator 03) & Latacz-Lohmann, U. (Investigator 04)
ARC Australian Research Council
1/01/15 → 30/06/19
Project: Research
-
Using improved markets to reduce over-extraction of groundwater
Iftekhar, S. (Investigator 01)
ARC Australian Research Council
1/01/18 → 9/10/20
Project: Research