Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 7
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Forecast of Grain Production of China during the Twelfth Five-Year Plan Period AgEcon
Men, Ke-pei; Zhu, Shu-dan; Zhao, Kai.
According to the latest revised agricultural economic statistical data in China Statistical Yearbook-2010, by selecting and establishing the square root-treated grey model, the empirical analysis and forecast research on the grain output of China from 201 1 to 2015 are conducted. The results show that me grain output of China in 2011 will reach 557.739 million tons, and it will break through 600 million tons at 605.617 million tons in 2015. The persistent and stable grain output will ensure that the national economy develops in normal during the twelfth five-year plan period and remit the world grain crisis efficiently; meanwhile, the problem of exorbitant grain prices should be remitted in some level.
Tipo: Journal Article Palavras-chave: China grain production; Square root-treated grey model; Forecast; China; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/117254
Imagem não selecionada

Imprime registro no formato completo
Comprehensive Evaluation on the Level of Agricultural Modernization in Eastern China AgEcon
Men, Ke-pei; Tang, Sha-sha.
Based on correct understanding of the connotation and essence of agricultural modernization, according to the data in 2008 China Statistical Yearbook and the relevant literatures about eastern China, a total of 12 indices are selected to construct the evaluation index system of agricultural modernization in eastern China by combining with its social development and following the principles of systematization, comprehensiveness, representativeness, legitimacy and comparability. Then, according to the decision-making rules of modern science, 3 alternatives are put forward and max compatibility degree method is used to generate the optimization solution. Result shows that agricultural modernization in eastern China can be classified into three types. The...
Tipo: Journal Article Palavras-chave: Agricultural modernization; Entropy method; TOPSIS method; Max compatibility degree method; China; Agribusiness.
Ano: 2010 URL: http://purl.umn.edu/93545
Imagem não selecionada

Imprime registro no formato completo
Cluster Analysis on Per Capita Net Income of Rural Households in China AgEcon
Guan, Linlin; Men, Ke-pei.
We summarize the status of rural areas in China, and introduce the principle of Cluster Analysis. According to related statistical data, per capita net income of rural households in various regions of China is analyzed by adopting the method of Cluster Analysis. The results showed that 31 cities, autonomous regions and provinces in China can be divided into 4 types. The first type includes Beijing and Shanghai. Comprehensive economic strengths of these regions, as well as per capita net income of rural households, are in the forefront. The second type includes Tianjin, Jiangsu and Zhejiang Provinces of China, which have superior conditions of agricultural production with excellent foundation of agriculture and stable income sources. The third type includes...
Tipo: Thesis or Dissertation Palavras-chave: Rural household; Per capita net income; Cluster analysis; China; Community/Rural/Urban Development; Financial Economics; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/53757
Imagem não selecionada

Imprime registro no formato completo
Grey Correlation between Agricultural Input Factors and Regional GDP Growth in Anhui Province AgEcon
Men, Ke-pei; Zhao, Kai.
In order to analyze the relation between agricultural input factors and economic growth in Anhui Province, the evaluation index system of agricultural input is built from the perspectives of subject, object and tools based on grey system theory. The government investment in agricultural science and technology is selected as the index of labor subject, that is labor-related index(X1), the total sown area of crops is selected as the index of labor object(X2), the investment in rural water and electricity construction is chosen as the index of tools(X3), and the GDP of Anhui Province is denoted by X0. According to the relevant data, the improved model of grey correlation analysis is adopted to calculate the correlation among the investment in agricultural...
Tipo: Journal Article Palavras-chave: Anhui Province; Agricultural input factors; Grey correlation; GDP; China; Agribusiness.
Ano: 2010 URL: http://purl.umn.edu/93664
Imagem não selecionada

Imprime registro no formato completo
Research on the Forecast of Grain Production in Henan Province from 2010 to 2015 AgEcon
Men, Ke-pei; Zhao, Kai.
According to the latest amended agricultural economic statistical data from 1996 to 2009 in Henan Statistical Yearbook-2010,by selecting and establishing the optimized grey model of logarithmic new developed coefficient, we conduct the empirical analysis and forecast research on the grain output and the relevant main economic indices in Henan Province from 2010 to 2015. The results show that the grain output of Henan Province in 2010 will reach 54.8969 million tons, and it will break through 60 million tons at 60.17 million tons in 2015. In years ahead, the grain output of Henan Province will develops to a new stage steadily, which guarantees the national grain supply and socio-economic sustainable development forcibly.
Tipo: Journal Article Palavras-chave: Henan Province; Grain production; Grey model of LNDC; Forecast; China; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/108398
Imagem não selecionada

Imprime registro no formato completo
Evaluation on the Developmental Level of Circular Economy of Jiangsu Province AgEcon
Xian, Li-hua; Men, Ke-pei; Zhang, Na.
Based on the brief description of the developmental status of social economy in Jiangsu Province, the index system including 16 indices contained in 5 subsystems is established according to the statistics from Jiangsu Statistical Yearbook-2009, the practical situation of Jiangsu Province and the connotation of circular economy. The developmental trends of circular economy of 13 prefecture-level cities in Jiangsu Province is comprehensively evaluated by using the improved extreme value treatment, analytic hierarchy process(AHP), comprehensive evaluation of herdsman and comprehensive evaluation model of grey multi-level. The results show that the developmental level of circular economy in Jiangsu Province varies hugely in different areas, the difference of...
Tipo: Journal Article Palavras-chave: Jiangsu Province; Recycling economy; AHP; Comprehensive evaluation; China; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/113417
Imagem não selecionada

Imprime registro no formato completo
Forecast of rural gross social output value in Jiangsu Province based on optimized grey model AgEcon
Men, Ke-pei; Zhang, Na.
We establish the optimized grey model with logarithm new development coefficient by screening according to the latest statistical data during 2007 in Jiangsu Province. Empirical analysis and prediction research on rural gross social output value in Jiangsu Province from the year 2008 to 2012 are carried out. Result shows that the rural gross social output value in Jiangsu Province in 2008 reached 6 169.697 billion yuan, and will be 9 511.017 billion yuan at the end of 2010, which is about 6.690 times of that in the year 2000. Target of the “Eleventh Five-Year Plan” is expected to be realized smoothly.
Tipo: Thesis or Dissertation Palavras-chave: Rural gross social output value in Jiangsu Province; Grey modeling; Optimized grey model with logarithm new development coefficient; Forecast; China; Agribusiness; Agricultural Finance; Community/Rural/Urban Development; Financial Economics; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/53469
Registros recuperados: 7
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional