Evaluation of Chinese Industry Linkage Ability by Using an Enhanced Grey Possibility Clustering Model
The input-output method can effectively quantify and analyze the industry linkage ability. The main objective of current research is to analyze the linkage ability of Chinese industry based on the interrelationship of sensitivity coefficient and the influence coefficient, which has not been reported...
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Published in | Journal of Grey System Vol. 31; no. 4; p. 47 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Research Information Ltd
01.12.2019
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Abstract | The input-output method can effectively quantify and analyze the industry linkage ability. The main objective of current research is to analyze the linkage ability of Chinese industry based on the interrelationship of sensitivity coefficient and the influence coefficient, which has not been reported with much accuracy so far and that is the reason leading to the monotonous results. Therefore, to address such issues and get the credible results for evaluation of the industry linkage ability, three effect indexes including the multiplier effect, absolute forward spillover effect, and the absolute backward spillover effect, are designed. Additionally, for these effect indexes, an enhanced grey possibility clustering method has also been proposed to evaluate the industry linkage based on the input-output (I-O) table. Moreover, this enhanced method can be advantageous for providing diverse weighted effects in the formulation practical advices towards industrial evaluation to the provision of indexation and characterization of industry linkage ability. The experimental results illustrate that there have been numerous similarities and differences among the enhanced grey possibility clustering method and traditional input-output research methods. Meanwhile, in an overall analysis, it is evident that the linkage ability of tertiary industry is relatively weak, whereas it is generally stronger for secondary Chinese industry for Chinese whole industry system. Keywords: Grey Possibility Clustering Model; Industry Linkage Ability; the Multiplier Effect; the Spillover Effect |
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AbstractList | The input-output method can effectively quantify and analyze the industry linkage ability. The main objective of current research is to analyze the linkage ability of Chinese industry based on the interrelationship of sensitivity coefficient and the influence coefficient, which has not been reported with much accuracy so far and that is the reason leading to the monotonous results. Therefore, to address such issues and get the credible results for evaluation of the industry linkage ability, three effect indexes including the multiplier effect, absolute forward spillover effect, and the absolute backward spillover effect, are designed. Additionally, for these effect indexes, an enhanced grey possibility clustering method has also been proposed to evaluate the industry linkage based on the input-output (I-O) table. Moreover, this enhanced method can be advantageous for providing diverse weighted effects in the formulation practical advices towards industrial evaluation to the provision of indexation and characterization of industry linkage ability. The experimental results illustrate that there have been numerous similarities and differences among the enhanced grey possibility clustering method and traditional input-output research methods. Meanwhile, in an overall analysis, it is evident that the linkage ability of tertiary industry is relatively weak, whereas it is generally stronger for secondary Chinese industry for Chinese whole industry system. Keywords: Grey Possibility Clustering Model; Industry Linkage Ability; the Multiplier Effect; the Spillover Effect |
Audience | Academic |
Author | Dang, Yaoguo Ding, Song Zhou, Huimin Rasheed, Rizwan Geng, Shuaishuai Ye, Li |
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Title | Evaluation of Chinese Industry Linkage Ability by Using an Enhanced Grey Possibility Clustering Model |
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