Influencing factors of port industry ecosystem based on OSA-ISM model

doi:10.16411/j.cnki.issn1006-7736.2021.01.008

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Journal of Dalian Maritime University ›› 2021, Vol. 47 ›› Issue (1) : 61-71. DOI: 10.16411/j.cnki.issn1006-7736.2021.01.008

LIU Tian-shou¹,KUANG Hai-bo²,ZHOU Huan²,LI Xiao-dong²,JIAO Qian-hui²

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Abstract

In order to study the relationship among the influencing factors in the port industry ecosystem, aiming at the shortcomings of interpretative structural equation (ISM), the OSA-ISM algorithm was introduced. Firstly, the self-organized objective system analysis (OSA) method was used to generate the model with increasing complexity on the training set, and the test set was used to screen the model. The minimum value of the criterion value outside the system corresponds to the optimal equations. Then, the connection method and connection strength between system variables were given quantitatively through the optimal equations. According to whether the coefficient between variables in OSA optimal equations was 0 or by setting a threshold to determine the adjacency matrix of ISM, it was an effective way to accurately reveal the structure of the system elements of the port industry ecosystem from the overall point of view. Based on the historical data of 9 ports including Shanghai in 2018, an empirical analysis was conducted on the influencing factors of their industrial ecosystem. The results show that the number of large-scale production enterprises, port container throughput, port grade, total port assets, port fixed assets investment, port cargo throughput and port city environmental protection investment are important factors affecting the port industrial ecosystem. Compared with the traditional ISM method, the effectiveness of the proposed method is verified.

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port / industrial ecosphere / system structure / objective system analysis / interpretative structure model

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LIU Tian-shou,KUANG Hai-bo,ZHOU Huan,LI Xiao-dong,JIAO Qian-hui. Influencing factors of port industry ecosystem based on OSA-ISM model[J]. Journal of Dalian Maritime University. 2021, 47(1): 61-71 https://doi.org/10.16411/j.cnki.issn1006-7736.2021.01.008

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