Technische Effizienz, Wachstum und Konvergenz in den Arbeitsmarktregionen der Bundesrepublik Deutschland (West). Eine ökonometrische Analyse für die Verarbeitende Industrie mit einem „Frontier Production Function“-Modell / Technical Efficiency, Economic Growth and Convergence of the Labour Market Regions in the Federal Republic of Germany. An Econometric Analysis for the Manufactoring Industry Using a ‚Frontier Production Function’ approach
Schalk Hans Joachim,
Gerhard Untiedt and
Lüschow Jörg
Additional contact information
Schalk Hans Joachim: Institut für Siedlungs- und Wohnungswesen
Lüschow Jörg: Institut für Siedlungs- und Wohnungswesen, Universität Münster, Am Stadtgraben 9, D-48143 Münster
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 1995, vol. 214, issue 1, 25-49
Abstract:
The purpose of this paper is to estimate and analyse the technical efficiency of the manufactoring industry in the ‘labour market regions’ of the Federal Republic of Germany. Using Farrell’s definition of technical efficiency different econometric methods are used to estimate the ‘frontier production function’ from a cross-section of time series. The econometric analysis indicates considerable technical inefficiency in several regions. The estimated results point out that an improvement of technical efficiency can contribute to both convergence and regional economic growth.
Date: 1995
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/jbnst-1995-0103 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jns:jbstat:v:214:y:1995:i:1:p:25-49
DOI: 10.1515/jbnst-1995-0103
Access Statistics for this article
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) is currently edited by Peter Winker
More articles in Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik) from De Gruyter
Bibliographic data for series maintained by Peter Golla (peter.golla@degruyter.com).