Analysis of regional differences and evolution features for waterway transport efficiency in the Yangtze River Economic Belt considering undesired outputs

被引:1
作者
Zhu, Jiang-Hong [1 ,2 ]
Zhao, Ying [2 ]
Yang, Qiang [3 ]
Jiang, Jun [2 ]
机构
[1] Chongqing Jiaotong Univ, Chongqing Key Lab Intelligent Integrated & Multidi, Chongqing 400074, Peoples R China
[2] Chongqing Jiaotong Univ, Sch Traff & Transportat, Chongqing 400074, Peoples R China
[3] Chongqing Jiaotong Univ, Sch Econ & Management, Chongqing 400074, Peoples R China
关键词
Yangtze River Economic Belt; Waterway transport efficiency; Super-SBM; Undesired output; Regional disparities; Dynamic evolution; SLACKS-BASED MEASURE; PORT EFFICIENCY; NEURAL-NETWORK; SHIP EMISSIONS; AIR-POLLUTION; INLAND PORTS;
D O I
10.1016/j.ocecoaman.2024.107122
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Waterway transport plays an increasingly important role in pursuing the sustainable development of the transportation industry and promoting regional economic development. Understanding the regional differences and evolution features of waterway transport efficiency (WTE) is a requisite for formulating waterway transport development policies. However, many studies of transport efficiency mainly focus on road, railway, and air transportation. Few studies have conducted an in-depth analysis of the WTE in the Yangtze River Economic Belt (YREB) from the perspective of considering undesired output. Adopting the Super slack-based measure (SuperSBM) model, Dagum Gini coefficient, and kernel density estimation as an analysis tool, this study explored the WTE's region disparities and dynamic evolution features based on the data from 2011 to 2020 in YREB. The analysis results represent that: (1) there represented a fluctuating and slowly upward trend of waterway transport efficiency during the study period. (2) The midstream region has the highest waterway transport efficiency, followed by the upstream region, and last is the downstream region. (3) The regional disparities in waterway transport efficiency exist in YREB, and the primary source of these differences is the inter-regional difference. And (4) the polarization phenomenon and agglomeration characteristics of waterway transport efficiency in YREB are gradually weakened and decreased, respectively. In the end, this article summarized the implications of this study to improve the waterway transport efficiency and service capabilities in YREB.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model
    Pan, Zhiwei
    Tang, Decai
    Kong, Haojia
    He, Junxia
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (02)
  • [42] Industrialization, urbanization, and carbon emission efficiency of Yangtze River Economic Belt—empirical analysis based on stochastic frontier model
    Caiqing Zhang
    Panyu Chen
    Environmental Science and Pollution Research, 2021, 28 : 66914 - 66929
  • [43] Analysis of regional energy economic efficiency and its influencing factors: A case study of Yangtze river urban agglomeration
    Zhong, Zhaoqiang
    Peng, Benhong
    Xu, Lu
    Andrews, Awuah
    Elahi, Ehsan
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2020, 41
  • [44] Analysis on Evolution Characteristics and Dynamic Mechanism of Urban Green Innovation Network: A Case Study of Yangtze River Economic Belt
    Zhang, Renjie
    Tai, Hsingwei
    Cheng, Kuo-Tai
    Cao, Zhengxu
    Dong, Huizhong
    Hou, Junjie
    SUSTAINABILITY, 2022, 14 (01)
  • [45] Cross-Regional Comparative Study on Carbon Emission Efficiency of China's Yangtze River Economic Belt Based on the Meta-Frontier
    Tian, Ze
    Ren, Fang-Rong
    Xiao, Qin-Wen
    Chiu, Yung-Ho
    Lin, Tai-Yu
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (04)
  • [46] Industrialization, urbanization, and carbon emission efficiency of Yangtze River Economic Belt-empirical analysis based on stochastic frontier model
    Zhang, Caiqing
    Chen, Panyu
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (47) : 66914 - 66929
  • [47] Analysis of the Spatiotemporal Convergence Effect and Influencing Factors of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt in China
    Yao, Meng-Chao
    Zhang, Ren-Jie
    Dong, Hui-Zhong
    JOURNAL OF THE KNOWLEDGE ECONOMY, 2024,
  • [48] Spatiotemporal evolution and trend prediction of regional water–energy–food–ecology system vulnerability: a case study of the Yangtze River Economic Belt, China
    Liming Liu
    Junfei Chen
    Chunbao Wang
    Environmental Geochemistry and Health, 2023, 45 : 9621 - 9638
  • [49] Carbon emission efficiency network formation mechanism and spatial correlation complexity analysis: Taking the Yangtze River Economic Belt as an example
    Zhang, RenJie
    Tai, HsingWei
    Cheng, KuoTai
    Zhu, YuTing
    Hou, JunJie
    SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 841
  • [50] Multi-Scale Analysis of Spatial and Temporal Evolution of Carbon Emissions in Yangtze River Economic Belt and Study of Decoupling Effects
    Hu, Hang
    Wang, Lei
    Yang, Mingchen
    SUSTAINABILITY, 2024, 16 (10)