IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-319-23228-7_3.html
   My bibliography  Save this book chapter

A General Error Revenue Function Model with Technical Inefficiency: An Application to Norwegian Fishing Trawler

In: Productivity and Efficiency Analysis

Author

Listed:
  • Subal C. Kumbhakar

    (State University of New York
    University of Stavanger Business School)

  • Frank Asche

    (University of Stavanger)

  • Kristin Roll

    (University of Stavanger)

  • Ragnar Tveteras

    (University of Stavanger Business School)

Abstract

In this paper we consider a revenue maximizing model and derive the revenue function from the transformation function where errors are parts of the outputs. First, we adapt McElroy’s additive general error model to the transformation function with multiple inputs and multiple outputs and derive the revenue function. The error terms in the output supply functions, derived from the revenue function, inherit their stochasticity from the error terms in the outputs. The second approach uses a multiplicative general error model (MGEM), in the spirit of Kumbhakar and Tsionas (J Appl Econ 26:270–297, 2011), with multiple outputs in which multiplicative errors are parts of the outputs. The MGEM is further generalized to accommodate output-oriented inefficiency. The translog revenue function with MGEM makes the intercept and the coefficients of the linear terms random (functions of the errors associated with outputs). The errors in the revenue share functions are linear functions of the errors associated with the outputs. Vessel level data for the Norwegian whitefish fisheries for the period 1995–2007 is used to showcase the application of the model. We also estimate a standard (off-the-shelf) revenue function with output-oriented technical inefficiency and compare technical change and technical efficiency results with the MGEM revenue function which is estimated along with the revenue share equations. Although the means are found to be somewhat similar, patterns of technical change and technical efficiency are found to be quite different across these models.

Suggested Citation

  • Subal C. Kumbhakar & Frank Asche & Kristin Roll & Ragnar Tveteras, 2016. "A General Error Revenue Function Model with Technical Inefficiency: An Application to Norwegian Fishing Trawler," Springer Proceedings in Business and Economics, in: William H. Greene & Lynda Khalaf & Robin Sickles & Michael Veall & Marcel-Cristian Voia (ed.), Productivity and Efficiency Analysis, edition 1, chapter 0, pages 51-70, Springer.
  • Handle: RePEc:spr:prbchp:978-3-319-23228-7_3
    DOI: 10.1007/978-3-319-23228-7_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.

    Citations

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


    Cited by:

    1. Chung-Cheng Yang & Jianxiong Chen & Wen-Chi Yang, 2021. "The Impact of the Amendment of Taiwan’s Certified Public Accountant Act in 2007 on Large Accounting Firms," Sustainability, MDPI, vol. 13(3), pages 1-22, January.

    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:prbchp:978-3-319-23228-7_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.