IDEAS home Printed from https://ideas.repec.org/p/has/discpr/0504.html
   My bibliography  Save this paper

Firm behaviour and public infrastructure - The Case of Hungary

Author

Listed:
  • Gabor Bekes

    (CEU Department of Economics)

  • Balazs Murakozy

    (CEU Department of Economics)

Abstract

In the paper, we test the effect of local development, regional and local policies on the location decisions and productivity of firms. Development indicators include local research and development activity or education while policy decisions used in this study encompass for example tax rates, investment incentives or road construction. The study builds upon a large national panel of firms. Importantly, such a rich dataset has rarely been employed for productivity and location choice exercises. The paper is composed of two sections dealing with location choice and productivity, respectively and we compare the effect of variables used in both sections. Among others, we find that density of road network positively influenced location choice and productivity as well, while a somewhat larger size of administration helps new firms to settle but later on, it has no effect on productivity.

Suggested Citation

  • Gabor Bekes & Balazs Murakozy, 2005. "Firm behaviour and public infrastructure - The Case of Hungary," CERS-IE WORKING PAPERS 0504, Institute of Economics, Centre for Economic and Regional Studies.
    • Handle: RePEc:has:discpr:0504
    as

    Download full text from publisher

    File URL: http://econ.core.hu/doc/dp/dp/MTDP0504.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Richard Kneller & Florian Misch, 2014. "The Effects Of Public Spending Composition On Firm Productivity," Economic Inquiry, Western Economic Association International, vol. 52(4), pages 1525-1542, October.
    2. Csoka, Peter & Herings, P. Jean-Jacques & Koczy, Laszlo A., 2007. "Coherent measures of risk from a general equilibrium perspective," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2517-2534, August.
    3. András Simonovits, 2006. "Social Security Reform in the US: Lessons from Hungary," CERS-IE WORKING PAPERS 0602, Institute of Economics, Centre for Economic and Regional Studies, revised 24 Apr 2006.
    4. Andrea Lasagni & Annamaria Nifo & Gaetano Vecchione, 2015. "Firm Productivity And Institutional Quality: Evidence From Italian Industry," Journal of Regional Science, Wiley Blackwell, vol. 55(5), pages 774-800, November.
    5. Iván Major, 2006. "Why do (or do not) banks share customer information? A comparison of mature private credit markets and markets in transition," CERS-IE WORKING PAPERS 0603, Institute of Economics, Centre for Economic and Regional Studies, revised 24 Apr 2006.
    6. Gabor Virag, 2006. "Outside offers and bidding costs," CERS-IE WORKING PAPERS 0610, Institute of Economics, Centre for Economic and Regional Studies, revised 30 Aug 2006.

    More about this item

    Keywords

    industrial location; FDI; productivity; discrete choice mod-els; GMM;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

    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:has:discpr:0504. 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: Nora Horvath (email available below). General contact details of provider: https://edirc.repec.org/data/iehashu.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.