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| Wang, H. Holly; Zhang, Hao. |
| Risk theory tells us if an insurer can effectively pool a large number of individuals to reduce the total risk, he then can provide the insurance by charging a premium close to the actuarially fair rate. There is, however, a common belief that the risk can be effectively pooled only when the random loss is independent, so that crop insurance markets cannot survive without government subsidy because crop yields are not independent among growers. In this paper, we take a a spatial statistics approach to examine the effectiveness of risk pooling for crop insurance under correlation. We develop a method for evaluating the effectiveness of risk pooling under correlation and apply the method to three major crops in the US: wheat, soybeans and corn. The empirical... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk and Uncertainty. |
| Ano: 2002 |
URL: http://purl.umn.edu/19633 |
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| Shen, Lei-ming; Xu, Mei; Wang, Fu-lin; Zhang, Hao. |
| Taking a total of 13 areas in Heilongjiang commodity grain base as the research objects, 9 indices are selected, which are regional GDP (X1), per capita GDP (X2), total value of tertiary industry (X3), financial revenue (X4), urban fixed assets investment (X5), average salary (X6), gross industrial output value (X7), total output value of farming, forestry, husbandry and fishing (X8), and retail sales of social consumer goods (X9). Based on this, evaluation index system of regional economy is established. According to the 2006-2008 Heilongjiang Statistical Yearbook, average values within 3 years are used as analytical data. Factor Analysis Method is adopted to establish regression model and to carry out comprehensive analysis. Result shows that... |
| Tipo: Journal Article |
Palavras-chave: Heilongjiang Commodity grain base; Factor Analysis Method; Regional economy; Comprehensive evaluation; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/96048 |
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