skip to main content
10.1145/3271972.3271994acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicemeConference Proceedingsconference-collections
research-article

Research on Total Factor Production Efficiency of Logistics Enterprises Based on Enterprise Age

Authors Info & Claims
Published:02 August 2018Publication History

ABSTRACT

In this paper, the DEA-Malmquist method has been applied to calculate the total factor productivity of 30 different age logistics enterprises. The total factor productivity and the change of the chunks of 30 logistics enterprises are analyzed and so are the reasons, based on the data of 2013-2016. The conclusion is as follows, the age of logistics enterprises has no effect on the change of total factor productivity, but the age has certain influence on the scale efficiency index of logistics enterprises. This effect is enlarged with the widening age gap. What's more, technological progress is a key factor affecting the growth of total factor productivity. However, there are technical regressions in the logistics enterprises of all ages in China. This paper also provides suggestions for the development of logistics enterprises in combination with the characteristics of logistics enterprises of different ages.

References

  1. Deng Xueping, Wang Xu. Production efficiency and scale efficiency of logistics enterprises in China {J}. Systems Engineering Theory & Practice, 2009 (4): 34--42.Google ScholarGoogle Scholar
  2. Gertler, M. Financial Structure and Aggregate Economic Activity: An Overview {J}. Journal of Money, Credit, and Banking, 1988, 20 (3).Google ScholarGoogle Scholar
  3. He Liming. "New normal" under the development of China's logistics and supply chain trends and policy outlook {J}. China Circulation Economy, 2014, 8 (08): 6--10.Google ScholarGoogle Scholar
  4. Mostafa, M.M. Doe's efficiency matter? Examining the efficiency-profitability link in theUS specialty retailers and food consumer stores{J}. International Journal of Productivity andPerformance Management, 2010, 59(3).Google ScholarGoogle Scholar
  5. Reiner. Analyzing the efficient execution of in-store logisticsprocesses in grocery retailing - the case of dairy products {J}. Production and OperationsManagement, 2013, 22(4).Google ScholarGoogle Scholar
  6. Wai Peng Wong.Logistics firms performance:efficiency and effectiveness perspectives{J} International Journal of Productivity and PerformanceManagement, 2015, 64.Google ScholarGoogle Scholar
  7. Yao Juan, Zhuang Yuliang. Ownership structure, logistics environment and China's logistics industry efficiency {J}. Finance and Economics Research, 2013, 3.Google ScholarGoogle Scholar
  8. Zhang Yi, Niu Chong-huai.Study on Scale Efficiency and Influencing Factors of China's Logistics Listed Companies {J}. Journal of Mathematical Statistics and Management, 2013, 32 (3).Google ScholarGoogle Scholar
  9. Zhaofang, Deng Lei. Effects of Third Party Logistics Integration on Performance {J}. Journal of Mathematical Statistics and Management, 2015, 35 (4): 581--589.Google ScholarGoogle Scholar
  10. Zhou Li'an. Intergenerational effect and age effect of enterprise productivity {J}. Economics, 2007, 6 (4): 1298--1318.Google ScholarGoogle Scholar
  11. Zhou.Evaluating the comparative efficiency of Chinese third party logistics providers using data envelopment analysis {J}. International Journal of Physical Distribution & Logistics Management, 2008, 38 (4).Google ScholarGoogle Scholar

Index Terms

  1. Research on Total Factor Production Efficiency of Logistics Enterprises Based on Enterprise Age

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ICEME '18: Proceedings of the 2018 9th International Conference on E-business, Management and Economics
      August 2018
      169 pages
      ISBN:9781450365147
      DOI:10.1145/3271972

      Copyright © 2018 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 2 August 2018

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited
    • Article Metrics

      • Downloads (Last 12 months)1
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader