IDEAS home Printed from
   My bibliography  Save this paper

Empirical Analysis of Agricultural Productivity: Growth in Benin and Mainly Factors which Influence Growth


  • Constant, Labintan Adeniyi


This study examined changes in agricultural productivity at Benin in the context of diverse institutional arrangements using Data Envelopment Analysis (DEA).A time series data which consists of information on agricultural production and means of production were obtained from World Research Institute database, INSAE and rainfall data from AMMA database. The information was for a 43-year period (1961-2003); DEA method was used to measure Malquist index of total factor productivity to evaluate technical change efficiency and technological efficiency change across the country’s 12 provinces. A decomposition of TFP measures revealed whether the performance of factors productivity is due to technological change or technical efficiency change over the reference period. The study further examined the effect of land quality, agriculture labor, and selected governance indicators such as government effectiveness and openness on productivity growth. All the variables included in the model are significant effect on the TPF and the country agriculture growth. They equally performed well in terms of expected relationship with TFP except land quality index which unexpectedly had an inverse relationship with TFP.

Suggested Citation

  • Constant, Labintan Adeniyi, 2011. "Empirical Analysis of Agricultural Productivity: Growth in Benin and Mainly Factors which Influence Growth," 2011 Conference (55th), February 8-11, 2011, Melbourne, Australia 100538, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare11:100538

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Data Envelopment Analysis; Efficiency; Productivity; Benin; Agribusiness; N57; C01; C23;

    JEL classification:

    • N57 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - Africa; Oceania
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    NEP fields

    This paper has been announced in the following NEP Reports:


    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:ags:aare11:100538. 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: (AgEcon Search). 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.