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| Xiong, Zhang-lin; Niu, Ying. |
| Based on the introduction of factors affecting the income level of farmers in China, a total of 31 provinces, autonomous regions and municipality cities are taken as samples to select 13 factors affecting the income level of farmers, which are arable land area (X1), disaster area (X2), effective irrigation area (X3), fertilizer application (X4), mobile phone (X5), personal computer (X6), people joining in the new rural cooperative medical care (X7), rural investment (X8), household-use machine (X9), agricultural product price (X10), proportion of labor force with above junior high school education (X11), rural delivery route (X12), and rural electricity consumption (X13). At the same time, factor analysis method is used to analyze the factors affecting the... |
| Tipo: Journal Article |
Palavras-chave: Farmers’ income; Influencing factors; Factor analysis method; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/94268 |
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| Lu, Rui. |
| Taking Lingtong Grand Canyon in Jingxi County, Baise City, Guangxi, China as a research object, the face-to-face questionnaire survey on tourist is carried out, in order to obtain the basic situation of the interviewees, as well as their expectation for the eco-tourism experience. Factor analysis method is adopted to test the interviewees’ expectation of the eco-tourism experience. Result shows that eco-tourism experience of tourist is mainly reflected in the ecological leisure experience, the ecological tourism experience, the ecological experience in scenic spot, and the self-realization experience. Analysis on the recognition of the expectation for eco-tourism experience shows that the interviewees’ expectations of the eco-tourism experience are in the... |
| Tipo: Journal Article |
Palavras-chave: Eco-tourism; Experience economy; Factor analysis method; Questionnaire survey; China; Agribusiness. |
| Ano: 2010 |
URL: http://purl.umn.edu/98002 |
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| Zhou, Shuang-yan; Zheng, Xun-gang. |
| On the basis of expounding the status quo of China’s orange drought warning model research, according to the real-time monitoring data of Beibei Orangery in Chongqing City from June to August in 2010, by using factor analysis and principal component regression, we construct the drought warning model of Beibei Orangery in Chongqing City, and we conduct test and correction on drought warning model by using MAPE principle of assessment and prediction accuracy and the real-time monitoring data of September. The results show that as for the prediction of orange drought, the model has strong credibility. If we conduct continuous dynamic monitoring on the relevant indices regarding orange drought by virtue of this model, and pay attention to the analysis of... |
| Tipo: Journal Article |
Palavras-chave: Orange; Drought warning; Chongqing City; Principal component analysis method; Factor analysis method; China; Agribusiness. |
| Ano: 2011 |
URL: http://purl.umn.edu/113442 |
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