IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-76802-7_3.html
   My bibliography  Save this book chapter

Modelling Production Technology for Development of Agricultural Sector

In: Structural Change, Productivity, and Climate Nexus in Agriculture

Author

Listed:
  • Tomas Baležentis

    (Lithuanian Centre for Social Sciences)

Abstract

This chapter deals with the performance of EU agriculture from the production economics perspective. The neoclassical economic theory is described and applied to establish the representations of the underlying (environmental) production technology. Parametric and nonparametric methods are invoked to approximate the production technology. Different methods and models are compared in order to check the robustness of the results. Empirical data from the period 1995–2017 are used in the analysis. The measures of efficiency (including distance functions) and estimation thereof parametrically and nonparametrically are outlined. Then, a citation-based literature analysis is applied to discuss the recent trends in the literature on agricultural efficiency and productivity. The seminal papers are identified in order to reveal the prevailing strands of the literature. The empirical analysis proceeds with estimation of the parametric deterministic frontier. Then, parametric regression and nonparametric regression are applied to check the robustness of the results. The restricted frontier is also estimated econometrically by ensuring the regularity conditions. This chapter presents multiple methods for exploring the production possibilities across different settings that may be of interest to analysts and decision-makers.

Suggested Citation

  • Tomas Baležentis, 2021. "Modelling Production Technology for Development of Agricultural Sector," Springer Books, in: Structural Change, Productivity, and Climate Nexus in Agriculture, chapter 0, pages 65-120, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-76802-7_3
    DOI: 10.1007/978-3-030-76802-7_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    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:spr:sprchp:978-3-030-76802-7_3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.