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Enhanced Agriculture Insurance with Climate Forecast

doi: 10.3390/su141710617
This paper presents a model to study how climate forecasts and the agricultural production function affect the effectiveness of government policies (disaster bailouts and agricultural income tax) and agricultural insurance (both compulsory and voluntary). In the base model with a neoclassical production function, we find that these programs could increase farmers’ expected profit and reduce its volatility. Furthermore, credible climate forecasts enable farmers, insurance companies, and governments to make more informed cultivate and insurance decisions, and therefore increase the benefit of these insurance programs to farmers. The results suggest that climate forecasts, combined with agriculture policies and insurance, can play an important role in securing farmers’ profits and providing climate risk management guidance for agriculture production.
- Feng Chia University Taiwan
- National Taichung University of Education Taiwan
- Feng Chia University Taiwan
- University of Guelph Canada
- Yango University China (People's Republic of)
Environmental effects of industries and plants, climate forecast, TJ807-830, TD194-195, agricultural insurance, Renewable energy sources, agricultural insurance; production function; government policy; climate forecast, government policy, Environmental sciences, production function, GE1-350
Environmental effects of industries and plants, climate forecast, TJ807-830, TD194-195, agricultural insurance, Renewable energy sources, agricultural insurance; production function; government policy; climate forecast, government policy, Environmental sciences, production function, GE1-350
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).2 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.Average
