Analysis on the Operation Efficiency of China's Marine Transportation Industry and Its Influencing Factors

被引:0
|
作者
Wu Shujuan [1 ]
Lu Junming
Xiao Jianhua
机构
[1] Wuyi Univ, Jiangmen 529020, Guangdong, Peoples R China
关键词
DEA mode; Marine transportation industry; Operating efficiency; Influencing factors;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
China's marine transportation industry needs to change its current operation mode and improve economic efficiency, so that it can survive in the turbulent market. Based on the DEA model, it measures the eleven coastal provinces and cities' marine transportation industry efficiency by taking the number of berths and their berths as input indicators and the coastal port cargo as throughput, international standard tank throughput and passenger throughput as output indicators. Then, a regression analysis of China's marine transportation industry and its influencing factors is done by using EVIEWS software. It is found that the operation efficiency of China's marine transportation industry is good, but still needed to be improved. The investment in fixed assets of the coastal transportation industry and the container capacity of the wheel barge and its power have a positive effect on the operation efficiency of the marine transportation industry. Measures in the fields of ports, fleets, employees and waterways should be taken to solve those problems.
引用
收藏
页码:125 / 128
页数:4
相关论文
共 50 条
  • [41] Analysis of the Influencing Factors of China's Logistics Industry Based on Regression Model
    Qian, Wu
    Qiu Yinggui
    [J]. 2019 INTERNATIONAL CONFERENCE ON ECONOMIC MANAGEMENT AND MODEL ENGINEERING (ICEMME 2019), 2019, : 265 - 268
  • [42] Influencing factors and decoupling analysis of carbon emissions in China’s manufacturing industry
    Baoling Jin
    Ying Han
    [J]. Environmental Science and Pollution Research, 2021, 28 : 64719 - 64738
  • [43] China's Wine Import Industry: An Economic Analysis of Influencing Trade Factors
    Hu, Yu
    Ma, Wei
    Wang, Ruimei
    Song, Huan
    Mu, Weisong
    Tian, Dong
    Feng, Jianying
    [J]. COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE XI, CCTA 2017, PT II, 2019, 546 : 109 - 118
  • [44] Influencing factors and decoupling analysis of carbon emissions in China's manufacturing industry
    Jin, Baoling
    Han, Ying
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (45) : 64719 - 64738
  • [45] Influencing Factors of the Development of China's Catering Industry
    Zhang He-qing
    Wu Wei-wei
    Wang Xue-feng
    [J]. 2014 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING (ICMSE), 2014, : 767 - 773
  • [46] Analysis of Factors Influencing the Using FDI in China's Financial Service Industry
    Fang, Hui
    Li, JianPing
    Zhang, BeiBei
    [J]. SEVENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, VOLS I-III: UNLOCKING THE FULL POTENTIAL OF GLOBAL TECHNOLOGY, 2008, : 1378 - 1382
  • [47] Configuration analysis of influencing factors of operating efficiency based on fsQCA: evidence from China's property insurance industry
    Li, Zhiguang
    Li, Yaokuang
    Zhang, Wei
    [J]. CHINESE MANAGEMENT STUDIES, 2021, 15 (05) : 1085 - 1103
  • [48] Influencing Factors of China' s Foreign Trade of Textile and Clothing Industry and Its Strategies
    Yi, Zhang
    Qiong, Xiong
    [J]. 2011 SHANGHAI INTERNATIONAL COSTUME CULTURE FESTIVAL : PROCEEDINGS OF TEXTILE AND APPAREL INNOVATION FORUM, 2011, : 319 - 323
  • [49] Study on the economic performances of china's regional tourism industry and its influencing factors
    An, Yuxing
    Xia, Maosen
    Ma, Yunjun
    Tian, Hua
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 246 - 246
  • [50] Research on the spatial association network structure for innovation efficiency of China's new energy vehicle industry and its influencing factors
    Zhang, Yining
    Wu, Zhong
    [J]. PLOS ONE, 2021, 16 (08):