Study on the motivation of foreign capital withdrawal in post-crisis era by a grey correlation degree based decision tree algorithm
There have been foreign investors' withdrawal or transference, to a great extent, in lots of domestic regions since the financial crisis. Is the withdrawal of foreign capital subject to the financial crisis or a given stage of the Chinese economy development? Does the financial crisis play the...
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Published in | 2011 IEEE International Conference on Systems, Man, and Cybernetics pp. 1453 - 1456 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2011
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Subjects | |
Online Access | Get full text |
ISBN | 9781457706523 1457706520 |
ISSN | 1062-922X |
DOI | 10.1109/ICSMC.2011.6083875 |
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Abstract | There have been foreign investors' withdrawal or transference, to a great extent, in lots of domestic regions since the financial crisis. Is the withdrawal of foreign capital subject to the financial crisis or a given stage of the Chinese economy development? Does the financial crisis play the same impacts on the different types of foreign capitals withdrawal? These issues are discussed in this paper. We define the divestment as expansionary divestment and adaptable divestment, and divide the foreign capitals into the manufacturing type, R&D type and operating type. We emphatically discuss how to use the data mining to analyze these problems. The principle and process are described in detail. Especially, a grey correlation degree based decision tree algorithm is applied to find out the classification rules, which help the government to make strategies to guard against foreign capital withdrawal. |
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AbstractList | There have been foreign investors' withdrawal or transference, to a great extent, in lots of domestic regions since the financial crisis. Is the withdrawal of foreign capital subject to the financial crisis or a given stage of the Chinese economy development? Does the financial crisis play the same impacts on the different types of foreign capitals withdrawal? These issues are discussed in this paper. We define the divestment as expansionary divestment and adaptable divestment, and divide the foreign capitals into the manufacturing type, R&D type and operating type. We emphatically discuss how to use the data mining to analyze these problems. The principle and process are described in detail. Especially, a grey correlation degree based decision tree algorithm is applied to find out the classification rules, which help the government to make strategies to guard against foreign capital withdrawal. |
Author | Wang Wenzheng Wang Wenping Huang Xinhuan |
Author_xml | – sequence: 1 surname: Wang Wenping fullname: Wang Wenping email: wpwang@seu.edu.cn organization: Sch. of Econ. & Manage., Southeast Univ., Nanjing, China – sequence: 2 surname: Huang Xinhuan fullname: Huang Xinhuan email: xinhuanhsy@163.com organization: Sch. of Econ. & Manage., Southeast Univ., Nanjing, China – sequence: 3 surname: Wang Wenzheng fullname: Wang Wenzheng organization: Sch. of Econ. & Manage., Southeast Univ., Nanjing, China |
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Snippet | There have been foreign investors' withdrawal or transference, to a great extent, in lots of domestic regions since the financial crisis. Is the withdrawal of... |
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SubjectTerms | Companies Correlation decision tree algorithm Decision trees Economics grey correlation degree Investments Manufacturing motivation of the foreign capital withdrawal |
Title | Study on the motivation of foreign capital withdrawal in post-crisis era by a grey correlation degree based decision tree algorithm |
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