IDEAS home Printed from https://ideas.repec.org/p/ags/iaae06/25510.html
   My bibliography  Save this paper

An Empirical Analysis of Agglomeration Effect in the Japanese Food Industry -Panel Analysis Using Flexible Translog Production Function-

Author

Listed:
  • Kageyama, Masahiro
  • Tokunaga, Suminori
  • Akune, Yuko

Abstract

In this paper, we examine the existence of agglomeration effect on production in the Japanese food industry from 1985 to 2000 using plant-level 4-digit subclassification, panel dataset and new agglomeration index in Akune and Tokunaga (2005), and Tokunaga, Kageyama, and Akune (2005), based on Ellison and Glaeser (1997). This is an improvement on the the conventional indices such as Location Quotient (LQ) or Location Gini Coefficient (L).When we apply a flexible translog production function and cost share equation as suggested by Kim (1992), we find that around 2% of positive agglomeration effect exists in absence of any restriction on homotheticity in the the case of employment based agglomeration (Gamma EG ).

Suggested Citation

  • Kageyama, Masahiro & Tokunaga, Suminori & Akune, Yuko, 2006. "An Empirical Analysis of Agglomeration Effect in the Japanese Food Industry -Panel Analysis Using Flexible Translog Production Function-," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25510, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae06:25510
    DOI: 10.22004/ag.econ.25510
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/25510/files/pp060460.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.25510?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Jianda & Guo, Dongsheng, 2023. "Siphon and radiation effects of ICT agglomeration on green total factor productivity: Evidence from a spatial Durbin model," Energy Economics, Elsevier, vol. 126(C).
    2. Hao, Yu & Guo, Yunxia & Li, Suixin & Luo, Shiyue & Jiang, Xueting & Shen, Zhiyang & Wu, Haitao, 2022. "Towards achieving the sustainable development goal of industry: How does industrial agglomeration affect air pollution?," Innovation and Green Development, Elsevier, vol. 1(1).

    More about this item

    Keywords

    Agribusiness;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:iaae06:25510. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.