中国地理科学 ›› 2017, Vol. 27 ›› Issue (2): 298-310.doi: 10.1007/s11769-017-0864-z

• 论文 • 上一篇    下一篇

Efficiency Pattern and Spatial Strategy of Ports in Yangtze River Delta Region

JIANG Ziran1,2, ZHU Huayou3, CAO Youhui1   

  1. 1. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. College of Economic and Management, Zhejiang Normal University, Jinhua 321004, China
  • 收稿日期:2016-04-25 修回日期:2016-08-19 出版日期:2017-04-27 发布日期:2017-03-07
  • 通讯作者: CAO Youhui.E-mail:yhcao@niglac.ac.cn E-mail:yhcao@niglac.ac.cn
  • 基金资助:

    Under the auspices of National Natural Science Foundation of China (No. 41271136, 41501142)

Efficiency Pattern and Spatial Strategy of Ports in Yangtze River Delta Region

JIANG Ziran1,2, ZHU Huayou3, CAO Youhui1   

  1. 1. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. College of Economic and Management, Zhejiang Normal University, Jinhua 321004, China
  • Received:2016-04-25 Revised:2016-08-19 Online:2017-04-27 Published:2017-03-07
  • Contact: 10.1007/s11769-017-0864-z E-mail:yhcao@niglac.ac.cn
  • Supported by:

    Under the auspices of National Natural Science Foundation of China (No. 41271136, 41501142)

摘要:

This paper measures the efficiency of ports in the Yangtze River Delta Region (YRDR) in 2008 and 2013 using port berth quantity, quay length, and human resources as input indicators, using cargo and container throughput as output indicators, and considering traditional (foreign trade dependence and industrialization level) and modern environmental factors (traffic line density, financial development level, and informatization level). To achieve such aim, this study constructs a multi-stage data envelopment analysis model (DEA) that identifies effective port decision-making units (DMUs) and generates a highly accurate conclusion by eliminating the interference from the exogenous environment and random errors. First, the external environment significantly affects port efficiency, with the traditional environmental factors showing huge fluctuations and the modern environmental factors producing great benefits. Second, the efficiency of ports in YRDR has increased from 2008 to 2013 primarily because of their pure technical efficiency. Third, the weighted standard deviation ellipse (SDE) analysis results reveal that the efficiency pattern of ports significantly deviates from their throughput pattern, while the center of SDE of port efficiency moves from the eastern coastal regions to the northwest regions. Based on these findings, this paper proposes spatial development strategies for YRDR, such as creating an unblocked environment where spatial elements can freely circulate, intensifying port-city joint development, implementing differentiated policies, and focusing on the spatial collaboration of port efficiency.

关键词: Yangtze River Delta Region (YRDR), port efficiency, data envelopment analysis (DEA) model, stochastic frontier analysis (SFA), super efficiency analysis

Abstract:

This paper measures the efficiency of ports in the Yangtze River Delta Region (YRDR) in 2008 and 2013 using port berth quantity, quay length, and human resources as input indicators, using cargo and container throughput as output indicators, and considering traditional (foreign trade dependence and industrialization level) and modern environmental factors (traffic line density, financial development level, and informatization level). To achieve such aim, this study constructs a multi-stage data envelopment analysis model (DEA) that identifies effective port decision-making units (DMUs) and generates a highly accurate conclusion by eliminating the interference from the exogenous environment and random errors. First, the external environment significantly affects port efficiency, with the traditional environmental factors showing huge fluctuations and the modern environmental factors producing great benefits. Second, the efficiency of ports in YRDR has increased from 2008 to 2013 primarily because of their pure technical efficiency. Third, the weighted standard deviation ellipse (SDE) analysis results reveal that the efficiency pattern of ports significantly deviates from their throughput pattern, while the center of SDE of port efficiency moves from the eastern coastal regions to the northwest regions. Based on these findings, this paper proposes spatial development strategies for YRDR, such as creating an unblocked environment where spatial elements can freely circulate, intensifying port-city joint development, implementing differentiated policies, and focusing on the spatial collaboration of port efficiency.

Key words: Yangtze River Delta Region (YRDR), port efficiency, data envelopment analysis (DEA) model, stochastic frontier analysis (SFA), super efficiency analysis