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Economic evaluation of agricultural ...

Cabas, Juan.

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Economic evaluation of agricultural adaptation strategies to weather events.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Economic evaluation of agricultural adaptation strategies to weather events./
作者:	Cabas, Juan.
面頁冊數:	178 p.
附註:	Source: Dissertation Abstracts International, Volume: 68-08, Section: A, page: 3511.
Contained By:	Dissertation Abstracts International68-08A.
標題:	Economics, Agricultural. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR29837
ISBN:	9780494298374

Economic evaluation of agricultural adaptation strategies to weather events.
Cabas, Juan.

Economic evaluation of agricultural adaptation strategies to weather events. - 178 p.

Source: Dissertation Abstracts International, Volume: 68-08, Section: A, page: 3511.

Thesis (Ph.D.)--University of Guelph (Canada), 2007.

The purpose of this study is to assess the effects of weather events on agricultural production and the adoption of potential adaptation strategies to problems associated with climate variability for crop farmers in southwestern Ontario.

ISBN: 9780494298374Subjects--Topical Terms:

626648
Economics, Agricultural.

Economic evaluation of agricultural adaptation strategies to weather events.
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245 1 0 $a Economic evaluation of agricultural adaptation strategies to weather events.
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500 $a Source: Dissertation Abstracts International, Volume: 68-08, Section: A, page: 3511.
502 $a Thesis (Ph.D.)--University of Guelph (Canada), 2007.
520 $a The purpose of this study is to assess the effects of weather events on agricultural production and the adoption of potential adaptation strategies to problems associated with climate variability for crop farmers in southwestern Ontario.
520 $a The first step in assessing the appropriate adaptation strategies is to understand the sensitivity of crop yields to weather events. The effects of climatic and non-climatic factors on the mean and variance of corn, soybean and winter wheat yield were estimated with a panel data of 8 counties in southwestern Ontario over a period of 40 years. Average crop yields were determined largely by input use, soil quality and technological advances. Weather variables do enhance the explanatory power of the regression models of mean crop yield but productivity enhancements over time appear to offset annual fluctuations in weather. The estimated results suggest climate change may have an ambiguous effect on average crop yield. The projections would also depend on future technological developments, which have generated significant increases in yield over time despite changing annual weather conditions.
520 $a While improving the tolerance and yield capability of crops through genetics and other technologies may be a public adaptation response to climate change, individual producers can also respond by re-allocating cropping area or by insuring their crops against yield loss. Area response functions were estimated for corn, soybeans and winter wheat for eight counties in Ontario over a 25 year period. The most important variables affecting acreage of corn, soybeans and winter wheat are expected profits. The decomposition of crop area response into both price and yield elasticity measures illustrated the importance of expected yield in the area allocation decision and consequently weather. Crop allocation will thus be used by farmers as an adaptation strategy to changes in climate even without changes in crop prices.
520 $a The decision to use crop insurance as an adaptation strategy depends on economic factors, such as the expected distribution of crop prices and actual insurance costs, in addition to past and future expected weather, as summarized by crop yield. In contrast to previous studies on the demand for crop insurance, this study examines not only total participation but also the number of farmers who enter and exit the crop insurance program. The decomposition illustrates that the effect of a given variable is often muted by the aggregation. In addition, the approach distinguishes between price and yield variables rather than total returns and is consequently able to demonstrate that price variables are particularly important for farmers considering enrolling in crop insurance while yield variables and other risk management opportunities are more important for farmers who have been in the program but are deciding to exit. The result suggests moral hazard is reduced significantly by calculating the coverage yield level for an individual producer on the basis of a moving average of past yields for that farmer. While yield and its variance are particularly influential in the participation decision for farmers currently enrolled, its significant impact on the insurance decision for all farmers highlights the importance of crop insurance as a potential adaptation strategy to weather events.
590 $a School code: 0081.
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791 $a Ph.D.
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