IDEAS home Printed from
   My bibliography  Save this article

Investment Age and Dynamic Productivity Growth in the Spanish Food Processing Industry


  • Magdalena Kapelko
  • Alfons Oude Lansink
  • Spiro E. Stefanou


This article analyzes the relation between investment age, measured as the number of years since investment spike, and dynamic productivity growth and its components, which include dynamic technical change, dynamic inefficiency change, and dynamic scale inefficiency change. The empirical application focuses on firm-level data for the Spanish food processing industry covering the period from 1996 to 2011. This investigation of the impact of firms' investment decisions on productivity growth employs a dynamic production framework and analyzes the impact of these decisions on the components of dynamic productivity growth. Our findings show that dynamic productivity growth is negatively affected by investment spikes in both the meat processing and oils and fats industries, and that dynamic inefficiency change initially falls just after the infusion of large investment for oils and fats firms, but then grows as the firms acquire experience with this investment. We further find that investment spikes lead to improvements in dynamic technical change and worsening in dynamic technical inefficiency change in the meat processing industry, while dynamic scale inefficiency change was negatively impacted in both industries.

Suggested Citation

  • Magdalena Kapelko & Alfons Oude Lansink & Spiro E. Stefanou, 2016. "Investment Age and Dynamic Productivity Growth in the Spanish Food Processing Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(3), pages 946-961.
  • Handle: RePEc:oup:ajagec:v:98:y:2016:i:3:p:946-961.

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.


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

    Cited by:

    1. Juan Aparicio & Magdalena Kapelko & Bernhard Mahlberg & Jose L. Sainz-Pardo, 2017. "Measuring input-specific productivity change based on the principle of least action," Journal of Productivity Analysis, Springer, vol. 47(1), pages 17-31, February.
    2. repec:bla:jageco:v:68:y:2017:i:2:p:579-599 is not listed on IDEAS
    3. Femenia, Fabienne & Latruffe, Laure & Chavas, Jean-Paul, 2017. "Responsiveness of farm investment to price changes: An empirical study of the French crop sector," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 261421, European Association of Agricultural Economists.

    More about this item


    Access and download statistics


    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:oup:ajagec:v:98:y:2016:i:3:p:946-961.. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Oxford University Press) or (Christopher F. Baum). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.