山东科学 ›› 2020, Vol. 33 ›› Issue (3): 119-125.doi: 10.3976/j.issn.1002-4026.2020.03.017

• 交通运输 • 上一篇    下一篇

黄河三角洲地区港口全要素生产率的动态实证分析

梁文文1,刘荣花1,吴正2   

  1. 1.山东省交通规划设计院,山东 济南 272008;2.河海大学 商学院,江苏 南京 211100
  • 出版日期:2020-05-29 发布日期:2020-06-01
  • 作者简介:梁文文(1988—),女,硕士,工程师,研究方向为港口规划研究。E-mail:15195958191@163.com
  • 基金资助:
    国家自然科学基金青年项目(41001377)

Dynamic empirical analysis of total factor productivity of ports on the Yellow River Delta

LIANG Wen-wen1, LIU Rong-hua1, WU Zheng2   

  1. 1.Shandong Provincial Communications Planning and Design Institute, Jinan 272008, China;2. School of Business, Hohai University, Nanjing 211100, China
  • Online:2020-05-29 Published:2020-06-01

摘要: 以黄河三角洲区域内莱州港、东营港、潍坊港和滨州港作为研究对象,基于DEA(data envelopment analysis)模型和Malmquist生产率模型,选取该区域港口2010年—2017年投入产出数据对其动态效率进行测度。结果表明:样本期间黄三角地区主要港口总体技术效率呈现增长态势;从动态效率角度,黄三角地区四大港口整体Malmquist生产率年均增长率为正,呈上升态势;不同港口全要素生产率存在较大差距;影响黄三角港口全要素生产率的主要驱动因素不仅是技术进步变动,还包含规模效率的变动。

关键词: 资源整合, DEA模型, Malmquist生产率模型, 黄河三角洲, 全要素生产率

Abstract: The study was focused on the Laizhou, Dongying, Weifang and Binzhou ports in the Yellow River Delta, input-output data from the  ports in this region from 2010 to 2017 were selected to measure their dynamic efficiency based on DEA (data envelopment analysis) and Malmquist productivity model. The results show an increase in the overall technical efficiency of the main ports in the Yellow River Delta. From the perspective of dynamic efficiency, the Malmquist productivity growth rate of the four major ports in the Yellow River Delta area increase and is positive. There is a significant gap between the total factor productivity of different ports.The main driving factor affecting the total factor productivity of the Yellow River delta ports is not simply technological progress, but also scale efficiency changes.

Key words: resource integration, DEA , Malmquist productivity index, Yellow River Delta , total factor productivity

中图分类号: 

  • U651.5