Climate change economics
The oTree code of an economic experiment on investments in flood risk reduction can be found here: https://github.com/jantsje/floodgame.
- Mol, J. M., Botzen, W. J. W., & Blasch, J. E. (2020). Risk reduction in compulsory disaster insurance: Experimental evidence on moral hazard and financial incentives. Journal of Behavioral and Experimental Economics, 84, 101500. https://doi.org/10.1016/j.socec.2019.101500
The oTree code of a survey experiment on investments in flood risk reduction can be found here: https://github.com/jantsje/floodgame_online.
Related publication: Mol, J.M., Botzen, W.J.W. & Blasch, J.E. (2018). Behavioral motivations for self-insurance under different disaster risk insurance schemes. Journal of Economic Behavior & Organization, 180, 967–991. https://doi.org/10.1016/j.jebo.2018.12.007
Data on perceptions of flood risks can be downloaded here: http://journal.sjdm.org/15/15415/data.csv.
- Botzen, W.J.W., Kunreuther, H., Michel-Kerjan, E. (2015). Divergence between individual perceptions and objective indicators of tail risks: Evidence from floodplain residents in New York City. Judgment and Decision Making, 10(4), 365–85. http://journal.sjdm.org/15/15415/jdm15415.html
Data on willingness to pay for flood insurance in the Netherlands can be downloaded here: http://journal.sjdm.org/18/18201a/data.csv.
- Robinson, P., Botzen, W.J.W. (2018). The impact of regret and worry on the threshold level of concern for flood insurance demand: Evidence from Dutch homeowners. Judgment and Decision Making, 13(3), 237–245. http://journal.sjdm.org/18/18201a/jdm18201a.pdf
Data on the expected annual damage from river floods generated with the CLIMRISK-RIVER model can be found here: https://data.mendeley.com/datasets/3vgxtst62s/3.
- Ignjacevic, P., Botzen, W. J. W., Estrada, F., Kuik, O., Ward, P., & Tiggeloven, T. (2020). CLIMRISK-RIVER: Accounting for local river flood risk in estimating the economic cost of climate change. Environmental Modelling & Software, 132, 1–28. https://doi.org/10.1016/j.envsoft.2020.104784
Economics of natural capital
Data on economic values of nature based solutions in cities can be found here: https://naturvation.eu/result/financial-and-economic-values-database.
- Bockarjova, M., Botzen, W.J.W. & Koetse, M. (2020). Economic valuation of green and blue nature in cities: A meta-analysis. Ecological Economics, 169, 106480. https://doi.org/10.1016/j.ecolecon.2019.106480
- Bockarjova, M., Botzen, W.J.W., van Schie, M. & Koetse, M. (2020). Property price effects of green interventions in cities: A meta-analysis and implications for gentrification. Environmental Science and Policy, 112, 293–304. https://doi.org/10.1016/j.envsci.2020.06.024
A database with an overview of startups and small and medium enterprises (SMEs) who are working on marine plastic management can be found here. The list includes companies that have, as their main product or service offering, the reduction of the impact of plastic pollution on the marine environment. Companies are included in the database if they are 1) founded after 2000 and 2) have fewer than 200 employees, thereby excluding large multi-national companies and corporates. The database is comprised of 105 startups and SMEs working on marine plastic.
The database was built as part of the Horizon 2020 CLAIM Project (Cleaning Litter By Developing & Applying Innovative Methods in European Seas) and an analysis of the companies in the sample can be found in an academic article published in the Marine Pollution Bulletin.
More information on CLAIM can be found on the website: https://www.claim-h2020project.eu/.
The academic article is published as : Dijkstra, H., van Beukering, P. & Brouwer, R. (2021). In the business of dirty oceans: Overview of startups and entrepreneurs managing marine plastic. Marine Pollution Bulletin, 162, 111880. https://doi.org/10.1016/j.marpolbul.2020.111880
Economics of sustainable energy
Currently no models or data available under this theme. Data from the NEWCOMERS project will be shared here as soon as they are available.