Stochastic frontier analysis of regional competitiveness

• Authors: Andrea Furková , Kvetoslava Surmanová
• Languages of publication: EN

Abstracts

EN

The regional competitiveness is the source of national competitiveness and the efficiency measuring and relative regional efficiency comparison are crucial questions for analysts as well as for economic policy creators. Regional competitiveness becomes a subject of evaluation due to increasing significance of regions in concept of European Union. This paper deals with the application of parametric benchmarking method – Stochastic Frontier Analysis (SFA) for measuring technical efficiency of NUTS2 regions of V4 countries within the time period of 8 years.

Keywords

EN

Stochastic Frontier Analysis; Technical Efficiency; NUTS2 regions; Competitiveness

• Publisher: Katedra Ekonometrii i Statystyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
• Journal: Metody Ilościowe w Badaniach Ekonomicznych
• Year: 2011
• Volume: 12
• Issue: 1
• Pages: 67-76

Dates

published

2011

Contributors

author

Andrea Furková

• Department of Operations Research and Econometrics, University of Economics in Bratislava

author

Kvetoslava Surmanová

• Department of Operations Research and Econometrics, University of Economics in Bratislava

References

• Battese, G. E., Coelli, T. J. (1992) Frontier production functions, technical efficiency and panel data: with application to Paddy farmers in India, Journal of Productivity Analysis, Volume 3, pp. 153 – 169, ISSN 0895-562X.
• Coelli, T. J., Rao Prasada, D., Battese, G. (2005) An introduction to efficiency and productivity analysis, Springer, ISBN 0387242661.
• Enyedi, G. (2009): Competitiveness of the Hungarian regions, Hungarian Geographical Bulletin. Volume 58, No 1, pp. 33–48.
• European Commission 1999 (1999) Sixth periodic report on the social and economic situation of regions in the EU, European Commission, Brussels.
• Jondrow, J., Lovell, C. A. K., Materov, I. S, Schmidt, P. (1982) On the estimation of technical inefficiency in the stochastic frontier production function model, Journal of Econometrics, Volume 19, pp. 233 – 238, ISSN 0304-4076.
• Kumbhakar, S. C., Lovell, C. A. K. (2000) Stochastic frontier analysis. Cambridge University Press, ISBN 05216666635.
• Nevima, J., Ramík, J. (2009) Application of multicriteria decision making for evaluation of regional competitiveness, Mathematical Methods in Economics, 27th International Conference, Praha, ISBN 978-80-213-1963-9.
• Ramík, J. (2010) Multictriteria approaches to competitiveness, Quantitative Methods in Economics Multiple Criteria Decision Making XV – International Scientific Conference, Smolenice, ISBN 978-80-8078-364-8.