Midlands State University Library
Image from Google Jackets

Technical efficiency and the vertical boundaries of the firm theory and evidence

By: Contributor(s): Material type: TextTextSeries: Applied Economics Letters ; Volume , number ,New York Taylor & Francis 2013Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): Online resources: Summary: This article provides a theoretical and empirical analysis of the relationship between firms’ technical efficiency and the vertical organization of production. Technical inefficiency is explicitly introduced as the source of firms’ heterogeneity in a Bertrand–Nash model of industry competition: the main prediction of the model is that the most efficient firms choose vertical integrated structures and the less-efficient ones choose disintegrated structures. The empirical part of the article rests on a stochastic frontier analysis (SFA) in a sample of about 400 Italian machine tool (MT) builders, and the result supports the prediction of the theoretical model.
Reviews from LibraryThing.com:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Vol info Status Notes Date due Barcode
Journal Article Journal Article Main Library - Special Collections HB1.A666 APP (Browse shelf(Opens below)) Vol.20 , No.16 - 18 (Dec 2013) Not for loan For In House Use Only

This article provides a theoretical and empirical analysis of the relationship between firms’ technical efficiency and the vertical organization of production. Technical inefficiency is explicitly introduced as the source of firms’ heterogeneity in a Bertrand–Nash model of industry competition: the main prediction of the model is that the most efficient firms choose vertical integrated structures and the less-efficient ones choose disintegrated structures. The empirical part of the article rests on a stochastic frontier analysis (SFA) in a sample of about 400 Italian machine tool (MT) builders, and the result supports the prediction of the theoretical model.

There are no comments on this title.

to post a comment.