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The effect of policy leveraging climate change adaptive capacity in agriculture

handle: 10067/1672580151162165141 , 11568/1307110 , 11568/1226807 , 11568/1138070 , 11568/1138155 , 1942/27990
Agricultural adaptation to climate change is indispensable. Unfortunately, most climate response modeling methods accounting for adaptation are based on economic modelling that assumes simple farm profit-maximization and autonomous farm adaptation. This makes adaptation look like something unconditional , explaining why agricultural policy down-sized the attention for adaptation. This is incorrect as adaptation is facing numerous barriers such as low levels of adaptive capacity. This paper therefore captures and quantifies the impact of adaptive capacity explicitly in economic cross-sectional models, showing that those methods can be more policy-oriented. It shows that higher levels of adaptive capacity lead to more positive climate responses. Acknowledgement : This paper was supported by the Horizon 2020 project SUFISA (Grant Agreement No. 635577).
- University of Pisa Italy
- Hasselt University Belgium
- University of Antwerp Belgium
- Gembloux Agro-Bio Tech Belgium
- Gembloux Agro-Bio Tech Belgium
Europe, cross-sectional, Adaptive capacity, climate change, Adaptation; Adaptive capacity; Climate change; Cross-sectional; Europe, Economics, Agricultural and Food Policy, adaptation, Biology
Europe, cross-sectional, Adaptive capacity, climate change, Adaptation; Adaptive capacity; Climate change; Cross-sectional; Europe, Economics, Agricultural and Food Policy, adaptation, Biology
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
