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Technical Efficiency and Value Chain of Eastern European Union Companies: An Empirical Application using Semi-Parametric Frontier Methods

  • Daniel Sotelsek
  • Leopoldo Laborda

This study examines technical efficiency and its determinants in companies from East Europe who recently joined the European Union (EU) using survey data at the sector level. In order to get acquainted with the conditioning factors of the obtained technical efficiency, we resort to the classic concept of value chain, as described by M. E. Porter (1985). In terms of the factors that integrate the cited concept, we specify different models regarding the strategic behaviour of the industrial sector firms, with the purpose of learning the impact on the technical efficiency. A Data Envelopment Analysis (DEA) approach is applied to estimate technical efficiency level for individual sectors. In particular, the empirical analysis focuses on country comparisons of company performance and the determinants of technical efficiency among the sectors. One of the most important results that arise from our analysis is the existence of highly heterogeneous efficiency determinants among productive sectors. In this context, while policy priorities may differ across countries and sectors, the identified micro-policies represent practical approaches to common policy challenges in companies from UE member countries from East Europe.

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File URL: http://www2.uah.es/iaes/publicaciones/DT_04_10.pdf
File Function: First version, 2010
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Paper provided by Instituto Universitario de Análisis Económico y Social in its series Working Papers with number 04/10.

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Length: 36 pages
Date of creation: Apr 2010
Date of revision:
Handle: RePEc:uae:wpaper:0410
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  1. Ricardo Hausmann & Michael Gavin, 1996. "Securing Stability and Growth in a Shock Prone Region: The Policy Challenge for Latin America," Research Department Publications 4020, Inter-American Development Bank, Research Department.
  2. Simar, L. & Wilson, P.W., . "Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models," CORE Discussion Papers RP -1304, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  3. Alvarez, Roberto & Crespi, Gustavo, 2003. " Determinants of Technical Efficiency in Small Firms," Small Business Economics, Springer, vol. 20(3), pages 233-44, May.
  4. Zvi Griliches, 1996. "The Discovery of the Residual: A Historical Note," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1324-1330, September.
  5. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
  6. Tybout, James R, 1992. "Linking Trade and Productivity: New Research Directions," World Bank Economic Review, World Bank Group, vol. 6(2), pages 189-211, May.
  7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  8. Lucia Foster & John C. Haltiwanger & C. J. Krizan, 2001. "Aggregate Productivity Growth. Lessons from Microeconomic Evidence," NBER Chapters, in: New Developments in Productivity Analysis, pages 303-372 National Bureau of Economic Research, Inc.
  9. Brunetti, Aymo, 1997. " Political Variables in Cross-Country Growth Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 163-90, June.
  10. Lola Esteban Álvarez & J. Luis Gallizo Larraz & J. Mª Hernández García, 2002. "Eficiencia técnica y convergencia en la industria manufacturera de la Unión Europea," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 20, pages 381-401, Agosto.
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