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Comprehensive Evaluation on the Regional Economy of Commodity Grain Base in Heilongjiang Province Based on Factor Analysis Method AgEcon
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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IDENTIFYING THE SUB-COUNTY ZONE FOR GROWERS: A MODEL-BASED CLASSIFICATION FOR CROSS SECTIONAL AND TIME SERIES DATA AgEcon
Wang, H. Holly; Zhang, Hao.
County-based group crop insurance is not effective to growers in counties with heterogenous production practice. A model-based cluster and classification method is developed to facilitate the information needed in the study of sub-county-zone-based crop insurance. Wheat yield data from Whitman, WA is applied in the empirical analysis.
Tipo: Conference Paper or Presentation Palavras-chave: GRP; Cluster; Classification; Mixed Effect Model; Wheat Yield; Crop Production/Industries; Financial Economics; Research Methods/ Statistical Methods.
Ano: 1999 URL: http://purl.umn.edu/21637
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USING THE SPATIAL STATISTICS APPROACH TO ANALYZE YIELD RISK POOLING IN THE US AgEcon
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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