Improving the design of climate insurance: combining empirical approaches and modelling. (21st October 2022)

• Record Type: Journal Article
• Authors: Will, Meike; Backes, Annika; Campenni, Marco; Cronk, Lee; Dressler, Gunnar; Gornott, Christoph; Groeneveld, Jürgen; Habtemariam, Lemlem Teklegiorgis; Kraehnert, Kati; Kraus, Martin; Lenel, Friederike; Osgood, Daniel; Taye, Masresha; Müller, Birgit
• Is Part Of: Climate and development. Volume 14:Number 9(2022)
• Page Start: 804
• Page End: 813
• Publication Date: 2022-10-21
• Subjects: Agricultural insurance -- climate change -- risk management -- empirical research -- modelling; Climatic changes -- Periodicals; Climatic changes -- Environmental aspects -- Periodicals; Climatic changes -- Economic aspects -- Periodicals; Global temperature changes -- Environmental aspects -- Periodicals; 363.7387405
• DOI: 10.1080/17565529.2021.2007837
• Languages: English
• ISSNs: 1756-5529

Abstract

ABSTRACT: Extreme weather due to climate change often disproportionately affects the weakest members of society. Agricultural insurance programs designed specifically for smallholders in developing countries are valuable tools that can help farmers to cope with the resulting risks. A broad range of methods including household surveys, experimental games, and agent-based models have been used to assess and improve the effectiveness of such climate insurance products. Furthermore, process-based crop models have been used to derive suitable insurance indices. However, climate change raises specific socioeconomic and environmental challenges that need to be considered when designing insurance schemes. We argue that, in light of these pressing challenges, some of the methodological approaches currently applied to study climate insurance reach their limits when applied independently. This has fundamental implications. On the one hand, not all undesired side effects of insurance can be detected and, on the other hand, insurance indices cannot be derived sufficiently well. We therefore advocate a sound combination of different methods, especially by linking empirical analyses and modelling, and underline the resulting potential with the help of stylized examples. Our study highlights how methodological synergies can make climate insurance products more effective in supporting the most vulnerable households, especially under changing climatic conditions.