Economic Aspects of Crop Insurance in the Northwest PDF Download
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Author: Fred J. Benson
Publisher:
ISBN:
Category : Crop insurance
Languages : en
Pages : 10
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Book Description
Author: Fred J. Benson
Publisher:
ISBN:
Category : Crop insurance
Languages : en
Pages : 10
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Book Description
Author: Warren R. Bailey
Publisher:
ISBN:
Category : Crop insurance
Languages : en
Pages : 96
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Book Description
Author: Lawrence Arthur Jones
Publisher:
ISBN:
Category : Crop insurance
Languages : en
Pages : 36
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Book Description
Author: Barry K. Goodwin
Publisher: American Enterprise Institute
ISBN: 9780844739083
Category : Business & Economics
Languages : en
Pages : 178
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Book Description
This study is the first to provide a comprehensive and in-depth economic analysis of the origins and consequences of U.S. crop insurance and disaster relief programs. The authors investigate the policy options for disaster assistance and crop insurance, beginning with the recognition that current policies are unsatisfactory.
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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Erich Seamon
Publisher:
ISBN:
Category : Agricultural insurance
Languages : en
Pages : 306
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Book Description
Agricultural crop insurance is an important component for mitigating farm risk, particularly given the potential for unexpected climatic events (Christiansen et al., 1975; Diskin, 1997; Miranda & Glauber, 1997). Using a 2.8 million insurance claim dataset from the United States Department of Agriculture (USDA), this research study examined spatiotemporal variations of agricultural insurance loss across the 24-county region of the inland Pacific Northwest (iPNW) portion of the United States, from 2001 to 2015. For the prescribed time period, wheat was a dominant crop for the region, accounting for over $1.4 billion in insurance losses, with over $700 million resulting in claims due to drought. Principal components analysis showed distinct spatial and temporal differentiations in wheat insurance losses using the range of damage causes as factor loadings, with PC1 and PC2 accounting for 75% of total variance. Of particular note were the orthogonal relationships of county-level water availability damage causes (e.g. drought and heat vs. excessive moisture and cold wet winters), which aligned with regional climatic patterns. While both 2009 and 2015 were peak years for wheat/drought insurance loss, 2015 was the only year of the two that actually experienced regional drought conditions. Given the 2008/2009 recession economic impacts (Fan et al., 2015), this comparison may indicate the unique interaction of climate and economics and their impacts on climatically based damage cause insurance filings.Extending this iPNW analysis to evaluate quantitative climatic relationships to insurance loss, we developed a design matrix methodology to identify optimum temporal windows for climate variables by county, in relationship to wheat insurance loss due to drought. The results of our temporal window construction for water availability variables (precipitation, temperature, evapotranspiration, Palmer Drought Severity Index (PDSI)) identified spatial patterns across the study area that aligned with regional climate patterns, particularly with regards to drought-prone counties of eastern Washington. Using these optimum time-lagged correlational relationships between insurance loss and individual climate variables, along with commodity pricing, we constructed a regression-based random forest model for insurance loss prediction, as well as to evaluate climatic feature importance. Our cross validated model results indicated that PDSI was the most important factor in predicting total seasonal wheat/drought insurance loss, with wheat pricing and potential evapotranspiration having noted contributions. Our overall regional model had a R2 of .45, and a RMSE of ~$8.1 million. Model performance typically underestimated annual losses, with moderate spatial variability in terms of performance between counties.Supporting our quantitative analysis of insurance loss and climate, we additionally constructed an open science-based framework for reproducibility (Flathers & Gessler, 2018; Fan et al., 2015; Dumontier & Wesley, 2018), applying our agricultural insurance loss and climate analysis as a case study example. Our case study framework implementation, which provided a set of dynamic analytics dashboards, code outputs, and reproducible research notebooks, identified several challenges that are critical for collaborative data intensive research, including: issues of data scaling, the importance of modular analytic code development, the challenges of team collaboration, data access and transformation and the difficulties regarding climatically gridded data, as well as institutional support for long term data resilience and viability.
Author: Darrell L. Hueth
Publisher: Springer Science & Business Media
ISBN: 9401113866
Category : Business & Economics
Languages : en
Pages : 385
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Book Description
Government subsidized crop insurance has been used by a number of developed countries as a mechanism to reduce farm income instability by reducing yield risks. This book provides an in-depth analysis and evaluation of government provided crop insurance in developed countries. The book is organized into three sections: Part one presents background material on crop insurance programs in the U.S., Canada and selected other countries. Part two provides some analytical models of multiple peril crop insurance which suggest the possibility of modification of design which could improve performance and which explores theoretical linkages between crop insurance decisions and other producer decisions previously not analyzed. The main part of the book is Part three, where the results of a series of empirical studies using databases particularly designed to answer crop insurance questions are presented. This part of the book tests a number of the hypotheses which were raised in Parts one and two regarding reasons for the view widely held by economists that crop insurance has not functioned well.
Author: Pradeep Kurukulasuriya
Publisher: World Bank Publications
ISBN:
Category :
Languages : en
Pages : 62
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Book Description
This study examines the impact of climate change on cropland in Africa. It is based on a survey of more than 9,000 farmers in 11 countries: Burkina Faso, Cameroon, Egypt, Ethiopia, Ghana, Kenya, Niger, Senegal, South Africa, Zambia, and Zimbabwe. The study uses a Ricardian cross-sectional approach in which net revenue is regressed on climate, water flow, soil, and economic variables. The results show that net revenues fall as precipitation falls or as temperatures warm across all the surveyed farms. In addition to examining all farms together, the study examined dryland and irrigated farms separately. Dryland farms are especially climate sensitive. Irrigated farms have a positive immediate response to warming because they are located in relatively cool parts of Africa. The study also examined some simple climate scenarios to see how Africa would respond to climate change. These uniform scenarios assume that only one aspect of climate changes and the change is uniform across all of Africa. In addition, the study examined three climate change scenarios from Atmospheric Oceanic General Circulation Models. These scenarios predicted changes in climate in each country over time. Not all countries are equally vulnerable to climate change. First, the climate scenarios predict different temperature and precipitation changes in each country. Second, it is also important whether a country is already hot and dry. Third, the extent to which farms are irrigated is also important.
Author:
Publisher:
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Category : Agricultural extension work
Languages : en
Pages : 30
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Book Description
Author: United States. Bureau of Agricultural Economics. Library
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 702
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Book Description
A series of lists to be compiled from time to time which are designed to be less comprehensive than those issued in the series Agricultural economics bibliography. cf. p.1. of no. 1.
