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| Fan, Chang-ke; Wu, Yu. |
| A total of 10 indices of regional economic development in Guangxi are selected. According to the relevant economic data, regional economic development in Guangxi City is analyzed by using System Clustering Method and Principal Component Analysis Method. Result shows that System Clustering Method and Principal Component Analysis Method have revealed similar results analysis of economic development level. Overall economic strength of Guangxi is weak and Nanning has relatively high scores of factors due to its advantage of the political, economic and cultural center. Comprehensive scores of other regions are all lower than 1, which has big gap with the development of Nanning. Overall development strategy points out that Guangxi should accelerate the... |
| Tipo: Journal Article |
Palavras-chave: Clustering Analysis Method; Factor Analysis Method; Economic development level; Economic strength; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/93467 |
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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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| Yang, Liping; Guo, Honghai; Yao, Huimin; Sun, Xiaoqing; Yang, Ping; Wang, Yong; Zhang, Weizhan. |
| The authors select six indices of resource endowment, supply scale and structure of agricultural products in assessment area of China, and then use Factor Analysis Method and Geographic Information System (GIS) technology to classify the supply capacity of agricultural products in 140 counties and cities of Shandong Province. The authors also made a comprehensive quantitative and locational evaluation. Based on this, the authors put forward some suggestions on how to improve the supply capacity of agricultural products in Shandong Province of China. |
| Tipo: Thesis or Dissertation |
Palavras-chave: Supply capacity of agricultural products; Factor Analysis Method; GIS; Shandong Province of China; Agricultural and Food Policy; Crop Production/Industries; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Marketing; Research Methods/ Statistical Methods. |
| Ano: 2009 |
URL: http://purl.umn.edu/53599 |
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