IDEAS home Printed from https://ideas.repec.org/h/elg/eechap/17409_3.html
   My bibliography  Save this book chapter

Modeling pollution abatement technologies as a network

In: New Directions in Productivity Measurement and Efficiency Analysis

Author

Listed:
  • Rolf G. Färe
  • Shawna Grosskopf
  • Carl A. Pasurka Jr.

Abstract

One approach used to calculate the costs and productivity changes associated with pollution abatement involves modeling the joint production of good and bad outputs. The joint production model treats the process of transforming inputs into good and bad outputs as a black box. We investigate the consequences of generalizing the transformation process by introducing a network technology that looks inside the black box, which consists of a set of sub-technologies or sub-processes. Both models are operationalized using a panel dataset of coal-fired power plants to compare empirical results generated by the two specifications of the production technology.

Suggested Citation

  • Rolf G. Färe & Shawna Grosskopf & Carl A. Pasurka Jr., 2017. "Modeling pollution abatement technologies as a network," Chapters, in: Tihomir Ancev & M. A.S. Azad & Francesc Hernández-Sancho (ed.), New Directions in Productivity Measurement and Efficiency Analysis, chapter 3, pages 59-79, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:17409_3
    as

    Download full text from publisher

    File URL: https://www.elgaronline.com/view/9781786432414.00007.xml
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Rolf Färe & Shawna Grosskopf, 2021. "Comments: Performance measurement and joint production of intended and unintended outputs," Journal of Productivity Analysis, Springer, vol. 55(3), pages 189-193, June.
    2. Hampf, Benjamin & Rødseth, Kenneth Løvold, 2019. "Environmental efficiency measurement with heterogeneous input quality: A nonparametric analysis of U.S. power plants," Energy Economics, Elsevier, vol. 81(C), pages 610-625.

    More about this item

    Keywords

    Economics and Finance; Environment;

    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:elg:eechap:17409_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: Darrel McCalla (email available below). General contact details of provider: http://www.e-elgar.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.