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author:

Gao, Ling (Gao, Ling.) [1] (Scholars:高玲) | Sun, Qi (Sun, Qi.) [2]

Indexed by:

SCIE

Abstract:

This study selected cross-section data for 17 port companies listed on the Shanghai Stock Exchange and Shenzhen Stock Exchange in 2014 and 2019 and evaluated efficiency with a three-stage data envelopment analysis model. The results showed that, compared with 2014, the average comprehensive technical efficiency in 2019 decreased to a certain extent; the comprehensive technical efficiency of six companies was lower than the average; and the pure technical efficiency of four companies was lower than the average level. In terms of returns to scale, more than 35% of companies had resource allocation problems. In general, the operating efficiency of the 17 listed port companies showed a trend of obvious polarization. For specific companies, the utilization rate of resources and technology of eight companies (namely, Zhuhai Port, Rizhao Port, Jinzhou Port, Tianjin Port, Lianyungang, Dalian Port, Ningbo Port, Huaihe Energy) was relatively low. Four companies (namely, Chongqing Gangjiu, Tianjin Port, Ningbo Port, Huaihe Energy) showed decreasing returns to scale. It is necessary to integrate enterprise resources, formulate a reasonable port-management system, pay attention to the training of technical personnel, and control the moderate expansion of company scale.

Keyword:

DEA-BCC model port companies SFA regression analysis Three stage DEA model traditional DEA efficiency

Community:

  • [ 1 ] [Gao, Ling]Fuzhou Univ, Sch Econ & Management, Fuzhou 350106, Peoples R China
  • [ 2 ] [Sun, Qi]Fuzhou Univ, Sch Econ & Management, Fuzhou 350106, Peoples R China

Reprint 's Address:

  • 高玲

    [Gao, Ling]Fuzhou Univ, Sch Econ & Management, Fuzhou 350106, Peoples R China

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Source :

JOURNAL OF COASTAL RESEARCH

ISSN: 0749-0208

Year: 2020

Page: 317-321

0 . 8 5 4

JCR@2020

1 . 1 1 0

JCR@2021

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:159

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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