IDEAS home Printed from
   My bibliography  Save this paper



  • Sergio, Colin-Castillo


The analysis of technical efficiency (TE) on the small-scale fishery is relevant for several reasons. While this type of fishery is highly common in developing countries like Mexico, there are a very limited number of analyses assessing their efficiency. Indeed, there is no precise information on the contribution of the small-scale fisheries to livelihoods and economies in developing nations. Exploring this gap in the research would be relevant for the decision making policy. On the one hand, small-scale fisheries can generate significant profits and be more resilient to shocks and crises; two important elements to poverty alleviation and food security. But on the other hand, small-scale fisheries may overexploit stocks, harming the environment and generating low profits. Certainly, it is desirable the preservation of resources of common access like lakes or reservoirs, at the same time it is desirable an efficient use of the fishery. The question is what factors constrain the efficiency? Aiming for a contribution on the knowledge of the small-scale fisher’s performance; this research applies “directed acyclic graphs”, an innovative technique to explore the causal relationship on the variables to explain the TE. To assess the fisher’s TE, this research uses “stochastic frontier analysis”, a method commonly used to estimate the efficiency. This study explores the causal pattern among the production function variables to corroborate, by estimating the TE, the hypothesis that: fisher’s skills favor the fisher performance. Compared to previous research, the results show an improvement on the assessment of the variables that constrain the efficiency. Getting a more precise TE assessment is valuable information. It would help to define the strategies for the assistance of the fishing communities; in a search for a policy to remedy the production inefficiencies and increase the competitiveness in small-scale fisheries.

Suggested Citation

  • Sergio, Colin-Castillo, 2011. "MEASURING TECHNICAL EFFICIENCY IN A SMALL-SCALE FISHERY: A causality analysis," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103822, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea11:103822
    DOI: 10.22004/ag.econ.103822

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    Environmental Economics and Policy; Production Economics; Research Methods/ Statistical Methods;
    All these keywords.

    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:aaea11:103822. 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.