Journal of Productivity Analysis

, Volume 42, Issue 1, pp 25–34 | Cite as

Firm efficiency, industry performance and the economy: three-way decomposition with an application to Andalusia

  • Antonio F. AmoresEmail author
  • Thijs ten Raa


An economy may perform better because the firms become more efficient, the industries are better organized, or the allocation between industries is improved. In this paper we extend the literature on the measurement of industry efficiency (a decomposition in firm contributions and an organizational effect) to a third level, namely that of the economy. The huge task of interrelating the performance of an economy to industrial firm data is accomplished for Andalusia.


Input–output Industrial organization Comparative advantage Allocative efficiency Efficiency decomposition 

JEL Classification

L10 D24 O47 



Firstly, we thank Jose M. Rueda-Cantuche (IPTS-Joint Research Center EU and Pablo de Olavide University) for his essential help in building the database. We also thank the feedback from: Mikuláš Luptáčik (WU Vienna University of Economics and Business) during the 24th EURO Conference held in Lisbon, July 12th, 2010; Jan Oosterhaven, Erik Dietzenbacher and Bart Los (Groningen University), Geoffrey Hewings (REAL-University of Illinois) and Tobias Kronenberg (Forschungszentrum Jülich) during the 4th Spanish Input–Output Conference held in Madrid, September 2011. Additionally, the first author thanks Thanh Le Phuoc (University of Maastricht and MERIT) and very specially to Michael R. Bussiek (GAMS Corp.) for their precious cooperation in constructing the computational model; Mònica Serrano (University of Barcelona) and Michael C. Ferris (University of Wisconsin at Madison) for his help in early calculations. He also thanks CentER for hospitality and the financial support of Junta de Andalucía (Regional Government of Andalusia, Spain) and Pablo de Olavide University. We are grateful to two anonymous referees and an associate editor for critical comments that prompted many changes.

Supplementary material

11123_2014_384_MOESM1_ESM.xls (57.6 mb)
Supplementary material 1 (XLS 58961 kb)


  1. Casas Sánchez JM, Santos Peñas J (1996) Introducción a la Estadística para Economía y Administración y Dirección de Empresas. Centro de Estudios Ramón Areces, MadridGoogle Scholar
  2. Charnes A, Cooper WW, Lewin A, Seiford L (1995) Data envelopment analysis: theory, methodology and applications. Kluwer Academic Publishers, Dordrecht, NetherlandsGoogle Scholar
  3. Cooper WW, Seiford LM, Tone K (2000) Data envelopment analysis: a comprehensive text with models, application, references and DEA-Solver software. Kluwer Academic Publisher, BostonGoogle Scholar
  4. Exceltur (2005) Impactur Andalucía 2005. ExcelturGoogle Scholar
  5. Houthakker H (1956) The pareto distribution and the Cobb–Douglas production function in activity analysis. Rev Econ Stud 23(1):27–31CrossRefGoogle Scholar
  6. IEA: Instituto de Estadística de Andalucía—Andalusian Statistical Office (2006) Marco input–output de Andalucía 2000—MIOAN00. SevillaGoogle Scholar
  7. Li S, Cheng Y (2007) Solving the puzzles of structural efficiency. Eur J Oper Res 180:713–722CrossRefGoogle Scholar
  8. Lozano S, Villa G (2004) Centralized resource allocation using data envelopment analysis. J Prod Anal 22:143–161CrossRefGoogle Scholar
  9. Shestalova V (2002) Essays in productivity and efficiency. Dissertation, Center, Tilburg University, Tilburg, the NetherlandsGoogle Scholar
  10. ten Raa Th (2005) The economics of input–output analysis. Cambridge University Press, CambridgeGoogle Scholar
  11. ten Raa Th (2007) The extraction of technical coefficients from input and output data. Econ Syst Res 19(4):453–459CrossRefGoogle Scholar
  12. ten Raa Th (2011) Benchmarking and industry performance. J Prod Anal 36:285–292CrossRefGoogle Scholar
  13. ten Raa T, Mohnen P (2002) Neoclasical growth accounting and frontier analysis. J Prod Anal 18:111–128CrossRefGoogle Scholar
  14. ten Raa Th, Mohnen P (2008) Competition and performance: the different roles of capital and labor. J Econ Behav Organ 3(4):573–584Google Scholar
  15. ten Raa TH, Rueda-Cantuche J (2007) Stochastic analysis of input–output multipliers on the basis of use and make matrices. Rev Income Wealth 53:318–334CrossRefGoogle Scholar
  16. Viet V (1994) Practices in input–output table compilation. Regional Sci and Urban Econ 24:27–54CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Economics, Quantitative Methods and Economics HistoryPablo de Olavide UniversitySevilleSpain
  2. 2.Faculty of Economics and BusinessTilburg UniversityTilburgThe Netherlands

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