›› 2019, Vol. 31 ›› Issue (10): 234-241.

• 物流与供应链管理 • 上一篇    下一篇

基于三阶段DEA模型的华东地区物流产业效率测度研究

梅国平1,2, 龚雅玲1,3, 万建香1, 季凯文2   

  1. 1. 江西财经大学信息管理学院, 南昌 330032;
    2. 江西师范大学江西经济发展研究院, 南昌 330022;
    3. 豫章师范学院经济与管理学院, 南昌 330103
  • 收稿日期:2019-05-05 出版日期:2019-10-28 发布日期:2019-11-05
  • 通讯作者: 龚雅玲(通讯作者),江西财经大学信息管理学院博士研究生,豫章师范学院经济与管理学院讲师
  • 作者简介:梅国平,江西财经大学信息管理学院教授,江西师范大学江西经济发展研究院教授,博士;万建香,江西财经大学信息管理学院教授,博士后;季凯文,江西师范大学江西经济发展研究院副研究员,博士。
  • 基金资助:

    国家自然科学基金项目(71774073;71563021;71540025);国家社会科学基金重大项目(16ZDA014)。

Study of the Efficiency Measurement of Logistics Industry in East China Based on Three-stage DEA Model

Mei Guoping1,2, Gong Yaling1,3, Wan Jianxiang1, Ji Kaiwen2   

  1. 1. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang 330032;
    2. Institute of Economic Development, Jiangxi Normal University, Nanchang 330022;
    3. School of Economics and Management, Yuzhang Normal University, Nanchang 330103
  • Received:2019-05-05 Online:2019-10-28 Published:2019-11-05

摘要:

物流产业是国民经济发展的基础性及战略性产业,实现物流产业由要素驱动向效率驱动转型升级是当前物流产业发展亟需解决的重要问题。本文以交通运输、物流仓储及邮政等产业的投入产出指标为研究对象,采用三阶段DEA模型对2012-2016年华东地区物流产业效率进行测度。实证结果表明:在不考虑环境、随机误差等因素影响的情形下,华东地区物流产业效率总体呈现出由沿海地区向内陆地区衰减的空间规律;SFA回归分析表明,环境和随机因素是影响华东地区物流产业效率的重要因素,公路里程数、居民消费水平的增加对物流产业效率的提升影响不大,而社会消费品零售总额的增加可以推动物流产业效率的提升;华东地区物流产业总体处于规模效率持续递增状态,调整后的物流产业平均综合效率值达到0.89。研究进一步表明,纯技术效率的较大差距导致各省份间物流产业效率呈现出明显的空间异质性。

关键词: 物流产业, 效率测度, 三阶段DEA模型, 华东地区

Abstract:

Logistics industry is a basic and strategic industry of China's national economic development. Realizing the transformation and upgrading of logistics industry from factor-driven to efficiency-driven is an important issue to be solved urgently in the current development of logistics industry. It is of great significance to study the efficiency of logistics industry at the regional level. Taking the input-output indexes of transportation, logistics warehousing and postal industry as the research data, this paper uses three-stage DEA model to measure the efficiency of logistics industry in East China from 2012 to 2016. Empirical results show that without considering the influence of environment and random error, the efficiency of logistics industry in East China shows a spatial law of attenuation from coastal area to inland area. SFA regression analysis shows that environment and stochastic factors are important factors affecting the efficiency of logistics industry in East China. Increasing road mileage and residents' consumption level is not conducive to improving the efficiency of logistics industry. Increasing total retail sales of social consumer goods can promote the efficiency of logistics industry. The overall scale efficiency of logistics industry in East China keeps increasing. The average comprehensive efficiency of the adjusted logistics industry reaches 0.89. However, due to the large gap of pure technical efficiency, the efficiency of logistics industry among provinces presents obvious spatial heterogeneity.

Key words: logistics industry, efficiency measurement, three-stage DEA model, East China