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Risk dimensions of cropping systems ...

Liu, Guangzhi.

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Risk dimensions of cropping systems in the family farm setting of Heilongjiang province, China.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Risk dimensions of cropping systems in the family farm setting of Heilongjiang province, China./
作者:	Liu, Guangzhi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 1991,
面頁冊數:	95 p.
附註:	Source: Masters Abstracts International, Volume: 30-04, page: 1077.
Contained By:	Masters Abstracts International30-04.
標題:	Agricultural economics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MM66711
ISBN:	9780315667112

Risk dimensions of cropping systems in the family farm setting of Heilongjiang province, China.
Liu, Guangzhi.

Risk dimensions of cropping systems in the family farm setting of Heilongjiang province, China. - Ann Arbor : ProQuest Dissertations & Theses, 1991 - 95 p.

Source: Masters Abstracts International, Volume: 30-04, page: 1077.

Thesis (M.Sc.)--University of Alberta (Canada), 1991.

The objectives of this research were to document interrelationships existing between the family farm concept and the state farm system and to develop a methodology to analyze risk situations with respect to crop enterprise selections.

ISBN: 9780315667112Subjects--Topical Terms:

3172150
Agricultural economics.

Risk dimensions of cropping systems in the family farm setting of Heilongjiang province, China.
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245 1 0 $a Risk dimensions of cropping systems in the family farm setting of Heilongjiang province, China.
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300 $a 95 p.
500 $a Source: Masters Abstracts International, Volume: 30-04, page: 1077.
502 $a Thesis (M.Sc.)--University of Alberta (Canada), 1991.
520 $a The objectives of this research were to document interrelationships existing between the family farm concept and the state farm system and to develop a methodology to analyze risk situations with respect to crop enterprise selections.
520 $a A model for selecting crop enterprise combinations which minimize the risk of defaulting on fixed cash commitments was developed. The model draws on a review of literature and is based upon the well known notion that high return is associated with high risk and non-systematic risk can be diversified away. The practical and computationally simple model requires the calculation of risk and return ratios from means, variance and covariance of individual crop enterprises.
520 $a Due to a lack of data, extensive empirical testing of the model was not possible, however two case farms, from two different locations were developed. These cases were based upon historic crop yield data obtained from the state farms and from answers to questionnaires provided by family farm members during interviews. (Abstract shortened by UMI.).
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