IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03025425.html

Pollution‐adjusted productivity analysis : The use of Malmquist and Luenberger productivity measures

Author

Listed:
  • Arnaud Abad

    (BETA - Bureau d'Économie Théorique et Appliquée - AgroParisTech - UNISTRA - Université de Strasbourg - Université de Haute-Alsace (UHA) - Université de Haute-Alsace (UHA) Mulhouse - Colmar - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Paola Ravelojaona

    (UPVD - Université de Perpignan Via Domitia)

Abstract

This paper aims to define pollution‐adjusted Malmquist and Luenberger productivity measures through generalized pollution‐adjusted production technology. This axiomatic framework is fairly weak and does not require any convexity property for the production technology. Hence, a general context to analyse and decompose pollution‐adjusted productivity change is introduced. Decomposing productivity measures allows to determine the sources of productivity variation and is of interest to define recommendations for decision makers.

Suggested Citation

  • Arnaud Abad & Paola Ravelojaona, 2021. "Pollution‐adjusted productivity analysis : The use of Malmquist and Luenberger productivity measures," Post-Print hal-03025425, HAL.
    • Handle: RePEc:hal:journl:hal-03025425
    DOI: 10.1002/mde.3260
    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
    for a similarly titled item that would be available.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Abad, A. & Ravelojaona, P., 2025. "An unified framework for measuring environmentally-adjusted productivity change: Theoretical basis and empirical illustration," European Journal of Operational Research, Elsevier, vol. 320(3), pages 642-654.
    2. Arnaud Abad & Michell Arias & Paola Ravelojaona, 2023. "Environmental productivity assessment: An illustration with the Ecuadorian oil industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(8), pages 4559-4571, December.
    3. Stefano NASINI & Rabia NESSAH, 2021. "Endogenous Learning in Multi-Sector Economies," Working Papers 2021-EQM-08, IESEG School of Management, revised Oct 2023.

    More about this item

    Keywords

    ;
    ;

    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:hal:journl:hal-03025425. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.