About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2

Research Article

Firm Size Distribution in

Download(Requires a free EAI acccount)
481 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-642-02469-6_54,
        author={Qinghua Chen and Liujun Chen and Kai Liu},
        title={Firm Size Distribution in 
                },
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009, Revised Papers, Part 2},
        proceedings_a={COMPLEX PART 2},
        year={2012},
        month={5},
        keywords={worldwide firm size distribution Fortune Global 500 lognormal distribution},
        doi={10.1007/978-3-642-02469-6_54}
    }
    
  • Qinghua Chen
    Liujun Chen
    Kai Liu
    Year: 2012
    Firm Size Distribution in
    COMPLEX PART 2
    Springer
    DOI: 10.1007/978-3-642-02469-6_54
Qinghua Chen1,*, Liujun Chen1, Kai Liu1
  • 1: Beijing Normal University
*Contact email: qinghuachen@bnu.edu.cn

Abstract

By analyzing the data of Fortune Global 500 firms from 1996 to 2008, we found that their ranks and revenues always obey the same distribution, which implies that worldwide firm structure has been stable for a long time. The fitting results show that simple Zipf distribution is not an ideal model for global firms, while SCL, FSS have better fitting goodness, and lognormal fitting is the best. And then, we proposed a simple explanation.

Keywords
worldwide firm size distribution Fortune Global 500 lognormal distribution
Published
2012-05-11
http://dx.doi.org/10.1007/978-3-642-02469-6_54
Copyright © 2009–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL