Firm Size as a Determinant of Firm Performance: The Case of Swine Raising

DOI 10.7160/aol.2016.080308
No 3/2016, September
pp. 77-89

Kuncová, M., Hedija and V., Fiala, R. (2016) “Firm Size as a Determinant of Firm Performance: The Case of Swine Raising", AGRIS on-line Papers in Economics and Informatics, Vol. 8, No. 3, pp. 77 - 89. ISSN 1804-1930 DOI 10.7160/aol.2016.080308.


The aim of the paper is to evaluate the effect of firm size to the economic performance of firm belonging to the raising of swine sector (CZ-NACE 01.460). The economic performance is assessed using multiple- criteria evaluation of alternatives methods where the selected coefficients of the profitability ratios, labour productivity and operating ratio are used as the indicator of economic performance. To assess the relationship between firm size and firm performance, the linear regression model is used. The study uses data collected from the database Albertina CZ Gold Edition for the year 2013 that are provided by Bisnode company and from Business Register. The results showed that the larger firms reached higher economic performance compared with smaller ones. These finding indicates that economies of scale are likely to play an important role in sector of raising swine.


Economic performance, firm size, linear regression model, operating ratio, profitability ratios, labour productivity, multi-criteria evaluation.


  1. Agiomirgianakis, G., Voulgaris, F. and Papadogonas, T. (2006) “Financial factors affecting profitability and employment growth: the case of Greek manufacturing”, International Journal of Financial Services Management, Vol. 1, No 2/3, pp. 235 – 245. ISSN 1741-8062. DOI 10.1504/IJFSM.2006.009628.
  2. Bojnec, Š. and Latruffe, L. (2013) “Farm size, agricultural subsidies and farm performance in Slovenia”, Land Use Policy, Vol. 32, pp. 207–217. ISSN 0264-8377.
  3. Boudný, J. and Špička, J. (2012) “The Effect of Production Efficiency on Economic Results in Pig Breeding”, Research in Pig Breeding, Vol. 6, No. 1, pp. 1 - 8. ISSN 1802-7547.
  4. Coad, A, Segarra, A. and Teruel, M. (2013) “Like milk or wine: Does firm performance improve with age?”, Structural Change and Economic Dynamics, Vol. 24, No. 1, pp. 173 – 189. ISSN 0954-349X. DOI 10.1016/j.strueco.2012.07.002.
  5. Cooper, A. C., Gimeno-Gascon, F. J. and Woo, C. Y. (1994) “Initial Human and Financial Capital as Predictors of New Venture Performance”, Journal of Business Venturing, Vol. 9, No. 5, pp. 371 – 395. ISSN 0883-9026. DOI 10.1016/0883-9026(94)90013-2.
  6. Czech Statistical Office. (2016) Statistická ročenka České republiky 2015. [Online]. Available: [Accessed: 10 March 2016].
  7. Evans, G. W. (1984) “An Overwiev of Techniques for Solving Multiobjective Mathematical Programs“, Management Science, Vol. 30, No. 11, pp. 1268–1282. ISSN 0025-1909.
  8. Fey, C. F. and Denison, D. R. (2003) “Organizational Culture and Effectiveness: Can American Theory Be Applied in Russia? “, Organization Science, Vol. 14, No. 6, pp. 686–706. ISSN 1047-7039. DOI 10.1287/orsc.14.6.686.24868.
  9. Fiala, P. (2008) "Modely a metody rozhodování" ("Models and methods of decision making, in Czech") Prague: Oeconomica. ISBN 80-245-0622-x.
  10. Fiala, R. and Hedija, V. (2015) “The Relationship Between Firm Size and Firm Growth: The Case of the Czech Republic“, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol. 63, No. 5, pp. 1639-1644. ISSN 1211-8516. DOI 10.11118/actaun201563051639.
  11. Gaur, J. and Gupta, R. (2011) “Comparing firm performance on the basis of age, size, leverage, and group affiliation in Indian IT industry”, Romanian Journal of Marketing, Vol. 6, No. 3, pp. 8-13. ISSN 1842-2454.
  12. Gottschalk, S. and Niefert, M. (2011) “Gender Differences in Business Success of German Start-up Firms”, Discussion Paper No. 11-019. [Online]. Available: dp/dp11019.pdf [Accessed: 10 May 2016].
  13. Hult, G. T. M., Ketchen, D. J., Chabowski, B. R. et al. (2008) “An assessment of the measurement of performance in international business research“, Journal of International Business Studies, Vol. 39, No. 2008, pp. 1064 –1080. ISSN 0047-2506. DOI 10.1057/palgrave.jibs.8400398.
  14. Hwang, C. L., and Yoon, K. (1981) "Multiple Attribute Decision Making: Methods and Applications", New York: Springer-Verlag. ISBN 978-3-540-10558-9.
  15. Institute of Agricultural Economics and Information IAEI. (2013) Bulletin ÚZEI 2013. [Online]. [Accessed: 8 August 2016].
  16. Kuncová, M., Doucek, P. (2011) “Comparison of the Cluster Analysis and the Methods of the Multi-criteria Evaluation of Alternatives Used to Create a Groups of Countries Similar in the Take up of the Internet Services“, In: Proceedings of the Mathematical Methods in Economics 2011 Conference [CD-ROM]. Prague: University of Economics in Prague, University of Economics in Bratislava. ISBN 978-80-7431-059-1.
  17. Kuncová, M., Štouračová, I. (2014) “Srovnání výrobců deskových her na českém trhu“, Logos Polytechnikos, Vol. 5, No. 3, pp. 43-54. ISSN 1804-3682.
  18. Lai,Y., J., and Liu, T., Y. (1994) “TOPSIS for MODM“, European Journal of Operation Research, Vol. 76, No. 3, pp. 486–500. ISSN 0377-2217. DOI 10.1016/0377-2217(94)90282-8.
  19. Liargovas, P. G. and Skandalis, K. S. (2010) “Factors Affecting Firms’ Performance: The Case of Greece”, Global Business and Management Research: An International Journal, Vol. 2, No. 2 and 3, pp. 184 – 197. ISSN 1947-5667.
  20. Machek, J. (2011) “Chov prasat v ČR po vstupu do EU z pohledu MZe” ("Breeding of pigs in the CR after accession in the EU, in Czech), Conference Chov prasat 2011, [Online]. Available: [Accessed: 8 August 2016].
  21. March, J. G. and Sutton, R. I. (1997) “Organizational Performance as a Dependent Variable”, Organization Science, Vol. 8, No. 6., pp. 698 – 706. ISSN 1047-7039.
  22. Ministry of Agriculture (2015) "Situační a výhledová zpráva: Vepřové maso – 9/2015" (Situation and perspective report: Pig meat - 9/2015, in Czech). [Online]. Available: file/432953/Veprove_2015_web.pdf [Accessed: 8 August 2016].
  23. Ministry of industry and trade (2015) "Finanční analýza podnikové sféry pro rok 2014" (Financial analysis of business sphere for 2014, in Czech), [Online]. Available: dokument157262.html. [Accessed: 26 April 2016].
  24. Mugera, A, W. and Langemeier, M, R. (2011) “Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas”, Journal of Agricultural and Applied Economics, Vol. 43, No. 4, pp. 515–528. ISSN 1074-0708. DOI 10.1017/S1074070800000043.
  25. Nassar, I. A., Almsafir, M. K. and Al-Mahrouq, M. H. (2014) “The Validity of Gibrat’s Law in Developed and Developing Countries (2008-2013): Comparison Based Assessment “, Procedia - Social and Behavioral Sciences, Vol. 129, pp. 266-273. ISSN 1877-0428.
  26. Radipere, S. and Dhliwayo, S. (2014) “The role of age and business size on small business performance in the South African small enterprise sector”, Problems and Perspectives in Management, Vol. 12, No. 4, pp. 7 - 12. ISSN 1810-5467.
  27. Rajčániová, M. and Bielik, P. (2008) “Determinants of variations in firm-level performance”, Acta oeconomica et informatica, 1/2008, pp. 1–4. ISSN 1336-9261.
  28. Richard, P. J., Devinney, T. M., Yip, G. S. et. al. (2009) “Measuring Organizational Performance: Towards Methodological Best Practice“, Journal of Management, Vol. 35, No. 3, pp. 718–804. ISSN 0149-2063. DOI 10.1177/0149206308330560.
  29. Svatoš, M. and Chovancová, M. (2013) “The influence of subsidies on the economic performance of Czech farms in the regions”, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol. 61, No. 4, pp. 1137–1144. ISSN 2464-8310. DOI 10.11118/actaun201361041137.
  30. Šiška, L. (2013) “Intangible Factors of Company ́s Performance“, In: 21st Interdisciplinary Information Management Talks (IDIMT), Prague: Trauner Verlag, pp. 335–342. ISBN 978-3-99033-083-8.
  31. Šišková, J. (2015) “Application of Multi-Criteria Analysis in the Evaluation of Biogas Plants with Respect to the Stability of the Agricultural System”, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol. 63, No. 3, pp. 853–860. ISSN 2464-8310. DOI 10.11118/actaun201563030853.
  32. Špička, J. (2014) “Financial situation of Czech pig breeders in the period 2007 – 2013”, Research in Pig Breeding, Vol. 8, No. 2, pp. 20–25. ISSN 1802-7547.
  33. Štolcová, J., Homolka, J. (2012) “Production Costs in the Fattening Period of Pigs and Assessment of the Influence of Selected Factors on the Amount of These Costs”, Agris on-line Papers in Economics and Informatics, Vol. 4, No.4-Special, pp.107-113. ISSN 1804-1930.
  34. Wang, T.-C. and Hsu, J. C. (2004) “Evaluation of the Business Operation Performance of the Listing Companies by Applying TOPSIS Method“. In: Proceedings of the IEEE International Conference on Systems, Man & Cybernetics. The Hague: IEEE, pp. 286–1291. ISBN 0-7803-7952-7.
  35. Yalcin, N., Bayrakdaroglu, A. and Kahraman C. (2012) “Application of fuzzy multi-criteria decision making methods for financial performance evaluation of Turkish manufacturing industries“, Expert Systems with Applications, Vol. 39, No. 1, pp. 350–364. ISBN 0957-4174. DOI 10.1016/j.eswa.2011.07.024.
  36. Yang, H., Yeung, J. F. Y., Chan, A. P. C., et. al. (2010) “A critical review of performance measurement in construction“, Journal of Facilities Management, Vol. 8, No. 4, pp. 269–284. ISBN 1472-5967. DOI 10.1108/14725961011078981.
  37. Yoon, K., and Hwang, C. L. (1995) "Multiple Attribute Decision Making: An Introduction". Thousand Oaks, California: Sage. ISBN 0-8039-5486-7.
  38. Žižlavský, O. (2015) “Performance Measurement of Innovation Project: Selected Shortcomings”, Littera Scripta, Vol. 8, No. 2, pp. 178-192. ISSN 1805-9112.

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