Skip to main content

Advertisement

Log in

On the inefficiency of European socialist economies

Relative to developed and developing economies

  • Published:
Journal of Productivity Analysis Aims and scope Submit manuscript

Abstract

This paper aims at comparing macroeconomic performance of three European socialist economies (Hungary, Poland, Yugoslavia) with developing and developed countries during the 1970s and the 1980s. Using panel data for 89 countries, we measure macroeconomic performance with two panel data production frontier models: the WITHIN model proposed by (Cornwell et al J Econom 46:185–200, 1990), and the firm effects model developed by (Battese and Coelli J Prod Anal 3:153–169, 1992). We conclude in favor of the underperformance of socialist countries in relation to developed countries but also to developing countries in most cases, which may be explained by the features of the socialist economic system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. See Ofer (1987) and Campos and Coricelli (2002) for further details on the economic system in application in Eastern European countries.

  2. Two reasons motivate the choice of the Cobb–Douglas form. First, it is commonly used in empirical works on growth and on aggregate efficiency frontiers technical efficiency. Second, in his estimation of production functions with CES and translog forms for European socialist countries, Whitesell (1985) showed that the Cobb–Douglas was the most appropriate form to describe growth in these countries.

  3. Koop et al. (2000) also used the Penn World Table for their estimation of technical efficiency of Poland, Yugoslavia and Western countries. They consider that “the Penn World Table provides the best currently available data that allows for reliable cross-country comparisons” (p. 186).

  4. These data can be downloaded at http://www.cid.harvard.edu/ciddata/ciddata.html.

  5. An alternative method would have been the application of DEA with the ‘window analysis’ for a dynamic investigation of the efficiency scores (see Charnes et al. 1985).

  6. The Spearman coefficients of correlation between mean efficiency scores obtained with both techniques are, respectively, 0.681, 0.689, 0.731 and 0.753, for the subperiods 1971–1975, 1976–1979, 1980–1983, and 1984–1987. All these coefficients are significant at the 1% level.

  7. We are fully aware that the significance tests we conducted rely on the normality assumption of the distribution of the efficiency scores. While this is questionable, the sample sizes being too small for such approximation, some of our results, including the difference in efficiency between socialist and developed countries, reject so strongly the null hypothesis that we are confident in our conclusions.

References

  • Adkins L, Moomaw R, Savvides A (2002) Institutions, freedom, and technical efficiency. South Econ J 69(1):92–108

    Article  Google Scholar 

  • Battese GE, Coelli TJ (1992) Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. J Prod Anal 3:153–169

    Article  Google Scholar 

  • Bergson A (1987) Comparative productivity: the USSR, Eastern Europe and the West. Am Econ Rev 77(3):342–357

    Google Scholar 

  • Bergson A (1994) The communist efficiency gap: alternative measures. Comp Econ Stud 36(1):1–12

    Google Scholar 

  • Berliner J (1952) Studies in Soviet history and society. Cornell University Press

  • Campos N, Coricelli F (2002) Growth in transition: what we know, what we don’t and what we should, J Econ Lit 40(3):793–836

    Google Scholar 

  • Charnes A, Clark C, Cooper W, Golany B (1985) A developmental study of data envelopment analysis in measuring the efficiency of maintenance units in U.S. Air Forces. Ann Oper Res 2:95–112

    Article  Google Scholar 

  • Coelli TJ (1996) A guide to frontier 4.1: a computer program for stochastic production and cost function estimation. Working Paper 96/07, Centre for Efficiency and Productivity Analysis, University of New England

  • Cornwell C, Schmidt P, Sickles R (1990) Production frontiers with cross-sectional and time-series variation in efficiency levels. J Econom 46:185–200

    Article  Google Scholar 

  • Drago R (1989) Comparative productivity and unemployment. Econ Anal Work Manage 23(4):355–360

    Google Scholar 

  • Easterly W, Fischer S (1994) The Soviet economic decline: historical and republican data, NBER Working Paper, no. 4735

  • Easterly W, Levine R (2001) It’s not factor accumulation: stylized facts and growth models. World Bank Econ Rev 15(2):177–219

    Article  Google Scholar 

  • Färe R, Zelenyuk V (2003) On aggregate farrell efficiencies. Eur J Oper Res 146(3):615–621

    Article  Google Scholar 

  • Kaufmann D, Kraay A, Zoido-Lobaton P (1999) Aggregating Governance indicators, World Bank Policy Research Paper no. 2195

  • Koop G, Osiewalski J, Steel M (2000) A stochastic frontier analysis of output level and growth in Poland and Western eonomies. Econ Plan 33:185–202

    Article  Google Scholar 

  • Kornai J (1980) Economics of shortage. North-Holland, Amsterdam

    Google Scholar 

  • Méon P-G, Weill L (2005) Does better governance foster efficiency? An aggregate frontier analysis. Econ Gov 6(1):75–90

    Article  Google Scholar 

  • Moroney J, Lovell CAK (1997) The relative efficiencies of market and planned economies. South Econ J 63(4):1084–1093

    Article  Google Scholar 

  • Ofer G (1987) Soviet economic growth: 1928–85. J Econ Lit 25(4):1767–1833

    Google Scholar 

  • Romer P (1993) Ideas and things. Economist 328(78):70–72

    Google Scholar 

  • Shleifer A (1997) State versus private ownership. J Econ Perspect 12(4):133–150

    Google Scholar 

  • Weill L (2004) Measuring cost efficiency in European banking: a comparison of frontier techniques. J Prod Anal 21:133–152

    Article  Google Scholar 

  • Whitesell R (1985) The influence of central planning on the economic slowdown in the Soviet Union and Eastern Europe: a comparative production function analysis. Economica 52:235–244

    Article  Google Scholar 

  • Whitesell R (1994) Industrial growth and efficiency in the United States and the former Soviet Union. Comp Econ Stud 36(4):47–77

    Article  Google Scholar 

Download references

Acknowledgments

I would like to thank Valentin Zelenyuk and two anonymous referees for their very helpful and precise comments that considerably improve the paper. I also thank Pierre-Guillaume Méon for his help.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Laurent Weill.

Appendix

Appendix

List of countries

   

Rights and permissions

Reprints and permissions

About this article

Cite this article

Weill, L. On the inefficiency of European socialist economies. J Prod Anal 29, 79–89 (2008). https://doi.org/10.1007/s11123-007-0068-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11123-007-0068-0

Keywords

JEL Classifications

Navigation