Suzhou Industry Garden is one of the few areas which attract foreign capital on a large scale in China. Its construction will bring effects on regional economy obviously. First, the garden as an important part of the ...Suzhou Industry Garden is one of the few areas which attract foreign capital on a large scale in China. Its construction will bring effects on regional economy obviously. First, the garden as an important part of the construction of high tech industry belt between Shanghai and Nanjing will become the radiating source and core area in the course of development of high tech industrialization in the southern area of the Changjiang (Yangtze) River. Second, the garden will influence the development of Taicang City, the door port city of Suzhou, and the development of peripheral villages and towns as well. As Taicang City is being constructed as the assistant center for International Shipping Centre in Shanghai, the structure of double nucleus by which Suzhou and Taicang could benefit from each other will come into being. Third, the garden which has been formed as the unique area for introducing foreign managing mode as a whole will be made the base for demonstration and using international economic management experience for reference.展开更多
In several LUCC studies, statistical methods are being used to analyze land use data. A problem using conventional statistical methods in land use analysis is that these methods assume the data to be statistically ind...In several LUCC studies, statistical methods are being used to analyze land use data. A problem using conventional statistical methods in land use analysis is that these methods assume the data to be statistically independent. But in fact, they have the tendency to be dependent, a phenomenon known as multicollinearity, especially in the cases of few observations. In this paper, a Partial Least-Squares （PLS） regression approach is developed to study relationships between land use and its influencing factors through a case study of the Suzhou-Wuxi-Changzhou region in China. Multicollinearity exists in the dataset and the number of variables is high compared to the number of observations. Four PLS factors are selected through a preliminary analysis. The correlation analyses between land use and influencing factors demonstrate the land use character of rural industrialization and urbanization in the Suzhou-Wuxi-Changzhou region, meanwhile illustrate that the first PLS factor has enough ability to best describe land use patterns quantitatively, and most of the statistical relations derived from it accord with the fact. By the decreasing capacity of the PLS factors, the reliability of model outcome decreases correspondingly.展开更多
文摘Suzhou Industry Garden is one of the few areas which attract foreign capital on a large scale in China. Its construction will bring effects on regional economy obviously. First, the garden as an important part of the construction of high tech industry belt between Shanghai and Nanjing will become the radiating source and core area in the course of development of high tech industrialization in the southern area of the Changjiang (Yangtze) River. Second, the garden will influence the development of Taicang City, the door port city of Suzhou, and the development of peripheral villages and towns as well. As Taicang City is being constructed as the assistant center for International Shipping Centre in Shanghai, the structure of double nucleus by which Suzhou and Taicang could benefit from each other will come into being. Third, the garden which has been formed as the unique area for introducing foreign managing mode as a whole will be made the base for demonstration and using international economic management experience for reference.
基金National Natural Science Foundation of China No.40301038
文摘In several LUCC studies, statistical methods are being used to analyze land use data. A problem using conventional statistical methods in land use analysis is that these methods assume the data to be statistically independent. But in fact, they have the tendency to be dependent, a phenomenon known as multicollinearity, especially in the cases of few observations. In this paper, a Partial Least-Squares （PLS） regression approach is developed to study relationships between land use and its influencing factors through a case study of the Suzhou-Wuxi-Changzhou region in China. Multicollinearity exists in the dataset and the number of variables is high compared to the number of observations. Four PLS factors are selected through a preliminary analysis. The correlation analyses between land use and influencing factors demonstrate the land use character of rural industrialization and urbanization in the Suzhou-Wuxi-Changzhou region, meanwhile illustrate that the first PLS factor has enough ability to best describe land use patterns quantitatively, and most of the statistical relations derived from it accord with the fact. By the decreasing capacity of the PLS factors, the reliability of model outcome decreases correspondingly.
