Olivia Riemer
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Olivia Riemer has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
Alexander Müller
1 shared publication- Amelie Michalke
Chair of Sustainability Science and Applied Geography, University of Greifswald, Greifswald, Germany
1 shared publication - Franklin Amuakwa-Mensah
University of Gothenburg
1 shared publication Gültaç Çınar
1 shared publication- Nadia El-Hage Scialabba
Swette Center for Sustainable Food Systems, Arizona State University, Tempe, AZ, United States
1 shared publication - Rebekka Bärenbold
Department of Economics, Swedish University of Agricultural Sciences (SLU), Box 7070, 750 07 Uppsala, Sweden
1 shared publication
Latest Publications
- Open Access
- 17 June 2026
- Published by Elsevier in Cleaner Food Systems
- Vol. 4
Comparing dietary patterns in Germany, Ireland, and France using an integrated true cost accounting framework
- 17 June 2026
- Published by Elsevier in Cleaner Food Systems
- Vol. 4
Open AccessComparing dietary patterns in Germany, Ireland, and France using an integrated true cost accounting framework
- Open Access
- 23 February 2018
- Published by MDPI AG in Environments
- Vol. 5 (2) , 31
Deriving a Benefit Transfer Function for Threatened and Endangered Species in Interaction with Their Level of Charisma
Biodiversity and species conservation are among the most urgent global issues. Both are under serious threat because of human intrusion and as a result, it is likely that present and future projects will affect threatened and endangered species. Thus, it is important to account for these impacts when evaluating and conducting cost and benefit analyses of projects. Due to their public good character and non-tradability, the total economic value of threatened and endangered species cannot be reflected by a market price and therefore, alternative approaches (stated preference method) are needed to determine their monetary value. This paper reviews and compares the valuation literature on threatened and endangered animals and conducts a meta-analysis regression to identify explanatory variables for the variation in willingness to pay for threatened and endangered species. The main findings of the meta-analysis show that the interaction of the level of threat and charisma have a positive effect on willingness to pay. Furthermore, developed countries have a higher willingness to pay compared to developing countries. Similarly, visitors of conservation sites have higher willingness to pay than residents. The provided example of a benefit transfer of the estimated function shows the practicability of our results.
- 23 February 2018
- Published by MDPI AG in Environments
- Vol. 5 (2) , 31
Open AccessDeriving a Benefit Transfer Function for Threatened and Endangered Species in Interaction with Their Level of Charisma
Biodiversity and species conservation are among the most urgent global issues. Both are under serious threat because of human intrusion and as a result, it is likely that present and future projects will affect threatened and endangered species. Thus, it is important to account for these impacts when evaluating and conducting cost and benefit analyses of projects. Due to their public good character and non-tradability, the total economic value of threatened and endangered species cannot be reflected by a market price and therefore, alternative approaches (stated preference method) are needed to determine their monetary value. This paper reviews and compares the valuation literature on threatened and endangered animals and conducts a meta-analysis regression to identify explanatory variables for the variation in willingness to pay for threatened and endangered species. The main findings of the meta-analysis show that the interaction of the level of threat and charisma have a positive effect on willingness to pay. Furthermore, developed countries have a higher willingness to pay compared to developing countries. Similarly, visitors of conservation sites have higher willingness to pay than residents. The provided example of a benefit transfer of the estimated function shows the practicability of our results.