2015
DOI: 10.1257/aer.p20151031
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Federal Crop Insurance and the Disincentive to Adapt to Extreme Heat

Abstract: Despite significant progress in average yields, the sensitivity of corn and soybean yields to extreme heat has remained relatively constant over time. We combine county-level corn and soybeans yields in the United States from 1989-2013 with the fraction of the planting area that is insured under the federal crop insurance program, which expanded greatly over this time period as premium subsidies increased from 20 percent to 60 percent. Insured corn and soybeans are significantly more sensitive to extreme heat … Show more

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Cited by 171 publications
(135 citation statements)
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“…In addition, cropland increases and pastureland decreases when government payments go up, implying that farmers would put more low-productivity land into crop production to receive more subsidies or crop and livestock insurance payments. These results appear consistent with research indicating that farmers already enrolled in crop and livestock insurance program do not have the incentive to engage in costly adaptation because insurance compensates them for potential loss (Annan and Schlenker 2015).…”
Section: Impacts On Agricultural Land-use Sharessupporting
confidence: 88%
“…In addition, cropland increases and pastureland decreases when government payments go up, implying that farmers would put more low-productivity land into crop production to receive more subsidies or crop and livestock insurance payments. These results appear consistent with research indicating that farmers already enrolled in crop and livestock insurance program do not have the incentive to engage in costly adaptation because insurance compensates them for potential loss (Annan and Schlenker 2015).…”
Section: Impacts On Agricultural Land-use Sharessupporting
confidence: 88%
“…These findings contrast with historical narratives of farmer adaptability, such as the 200-year-long spread of agriculture into previously nonarable land (90,91) and adjustment of cultivars in response to drought (92). These two views of agriculture adaptability remain unreconciled, and identifying obstacles to adaptation, such as poor incentives (93) or high adaptation costs (88), are a critical area for future research.…”
Section: Economic Impacts: Agricultural Yieldsmentioning
confidence: 78%
“…Existing evidence suggests that high costs of adaptation (48,88,105), incentives to adapt (48,93), limited access to credit for financing adaptations (46), limited rationality when planning for future risks (16,188), incorrect or limited information about the benefits of adaptation (89,189), perverse political incentives (190,191) or weak government institutions (187,192), constraints to sharing risk among individuals and groups (193), and access to technologies (90,185) might play substantial roles, although existing evidence is primarily suggestive as it relies on cross-sectional associations.…”
Section: Future Climate Changementioning
confidence: 99%
“…Notable exceptions are Lobell et al (2011a), who used precipitation centered around flowering (anthesis) in statistical models based on historical data of trials in Africa, and Ortiz-Bobea and Just (2013) controlled for the vegetative, flowering, and grain-filling stages. Instead, many approaches employ total precipitation over the growing season (Annan and Schlenker, 2015;Burke and Emerick, 2016;Roberts et al, 2013;Roberts, 2006, 2009), monthly mean growing season precipitation (Urban et al, 2012) or the average of a subset of the season (Urban et al, 2015a). Studies for Germany commonly separate the season into the periods May to July and August to October Wechsung, 2015, 2016;Conradt et al, 2016), thus dividing exactly the time interval most susceptible to water stress and 5 averaging over periods with diverse effects (e.g.…”
mentioning
confidence: 99%
“…Transferring those adaptation potential to future impacts diminishes the estimated losses. However, various issues need to be considered when employing such an approach, such as the costs of adaptation and wrong institutional incentives Annan and Schlenker, 2015). Also, Schlenker et al (2013) argued that higher average humidity levels in the south diminish the correlation between heat and measures based 30 on evapotranspirative demand.…”
mentioning
confidence: 99%