CLIMOD · Integrating climate impact and spatial microsimulation modelling for improved climate change adaptation decision-making
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2018-04-02 → 2020-04-01
- EU contribution
- €159,461
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Integrating climate impact and spatial microsimulation modelling for improved climate change adaptation decision-making
Minimising the welfare cost of climate change requires effective and efficient adaptation policy design. Accurate measurement of welfare cost is a prerequisite for effective policy prioritisation. Microdata-based analyses are important to understand the distribution of impacts between rich and poor and to incorporate these effects into policy decision-making. Of particular importance is the dearth of spatially-referenced microdata in many countries, limiting the insight one can glean in relation to the socioeconomic incidence of climate change impacts. As a result, much of the current state of the art quantifies welfare costs using aggregated methodologies. This has been shown to bias cost estimates and does not capture the socioeconomic distribution of welfare impacts. This bias may affect the effectiveness of adaptation measures. This project integrates climate impact modelling with Spatial Microsimulation (SM) and other micro-level socioeconomic modelling to estimate micro-level welfare impacts to improve the accuracy of adaptation decision-making. This project had two primary research objectives; (1) the creation and testing of a new SM methodology that may widen the scope of application to a wider number of contexts and geographical regions; (2) the integration of this new methodology with climate impact modelling at PIK and (3) show how distributional impacts of climate change may be used to inform adaptation policy decision-making.
Data: CORDIS, © European Union
Project objective
Minimising the welfare cost of climate change requires effective adaptation policies. Consequently, the EU strategy on climate change adaptation prioritises the creation of ‘frameworks, models and tools to support decision-making and to assess [the effectiveness of] various adaptation measures’. Accurate measurement of welfare cost is a prerequisite for effective policy prioritisation. The current state of the art quantifies welfare costs using aggregated methodologies. This has been shown to bias cost estimation and does not capture the socioeconomic distribution of welfare impacts. This bias may therefore affect the effectiveness of adaptation measures. Integrating climate impact models (with which Prof Lotze-Campen and the Potsdam Institute for Climate Impact Research [PIK] are experts) with Spatial Microsimulation (SM) modelling (with which the experienced researcher, Dr. Farrell, is an expert) provides a framework to estimate micro-level welfare impacts and thus overcome these deficiencies. Furthermore, this project integrates these estimates into decision-making models to aid policy. This project provides: (1) a timely contribution; (2) a strong multidisciplinary focus; (3) a transfer of SM knowledge to PIK, improving their ability to quantify the welfare impacts of climate change; (4) strong training in climate science and decision-making tools for Dr. Farrell; (5) strong communication/dissemination strategy drawing on resources of Dr. Farrell and PIK.The value of this project is in the collaborative opportunities provided by the research fellowship. PIK provides the best possible opportunities for mentorship and training/professional development for Dr. Farrell. This establishes Dr. Farrell as the leading expert in an emerging field of micro-based welfare estimation of climate change impacts and, coupled with the integration of the research networks of Dr. Farrell and PIK, provides a platform through which many further career developments are possible.
Original text from CORDIS.
Participants
- POTSDAM-INSTITUT FUR KLIMAFOLGENFORSCHUNG EV · PotsdamCoordinatorGermany
Links
Data: CORDIS, © European Union