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The Changes of Fiscal Agriculture-Supporting Expenditure and Farmers’ Income Based on Grey Correlation Theory AgEcon
Liu, Yao-sen.
According to the relevant data of China Statistical Yearbook and Chinese Rural Statistical Yearbook in the year of 2009, the changes of grey correlation degree of farmers’ net income, various items of incomes, national gross agriculture-supporting expenditure and various items of expenditures, farmers’ net income and various items of fiscal agriculture-supporting expenditure in the eighth Five-Year Plan, ninth Five-Year Plan and tenth Five-Year Plan by using grey correlation degree and the by choosing seven indicators covering income from wage and salary, income from household business, transfer income and property income, agricultural production-supporting expenditure, agricultural basic construction expenditure,expenses of three items of agricultural...
Tipo: Journal Article Palavras-chave: Fiscal agricultural supporting expenditure; Farmers’ income; Grey correlation degree; Grey correlation analysis; China; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/113431
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Analysis on Industry Structure Adjustment and Energy Consumption Based on Grey Theory—A Case Study of Qinghai Province AgEcon
Zhang, Yin-ling; Wang, Dan-tong; Zhao, Wei.
In view of the complexity and non-linearity of energy consumption system and the status quo of the development of energy in Qinghai province, the relations between energy consumption and industrial structure is analyzed by using the quantitative analysis of grey relation degree by using the grey system theory. The relevancy degree among the primary industry, the secondary industry and the tertiary industry and living energy consumption are obtained, and then the trend of energy consumption in the following several years can be predicted. The results show that the secondary industry has the largest relevancy degree to the total energy consumption. In the end, according to the results of the research, several suggestions on how to saving energy are put...
Tipo: Journal Article Palavras-chave: Grey relevancy analysis; Grey correlation degree; Industrial structure; Energy consumption; Qinghai Province; China; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/113929
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