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2019 | 29 | 3 | 67-76

Article title

Are efficient firms motivated to invest? Evidence of manufacture of motor vehicles in Czech Republic

Content

Title variants

Languages of publication

EN

Abstracts

EN
A sample of 24 representative firms in the Czech economy is a subject of a study for their technical efficiency and, subsequently, for their willingness to invest. The former concept is accomplished with the help of the frontier production function. The latter one is based on the value of Tobin’s Q, defined as the ratio of the market value of business capital assets to their replacement value; if it is greater than one, Q indicates the profitability of further investment. The analysed firms differ in their technical performance, but all of them are profitable and this might be their motivation to invest. A comparison of technical efficiency and Tobin’s Q as two evaluations follows under a hypothesis that one of them matches the other one. Applying the Passing–Bablok method, the finding is that those two items are not interchangeable in spite of a high correlation.

Year

Volume

29

Issue

3

Pages

67-76

Physical description

Contributors

  • Department of Econometrics, University of Economics, Prague, 13067 Praha, nám. Winstona Churchilla 4, Czech Republic

References

  • Amadeus32, database, Bureau van Dijk Electronic Publishing.
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  • JABLONSKÝ J., Models for efficiency evaluation of decision making units, Polit. ekon., 2004, 52 (2), 206–220.
  • JABLONSKÝ J., Efficiency analysis in multi-period systems: an application to performance evaluation in Czech higher education, Centr. Eur. J. Oper. Res. [online], 2016, 24 (2), 283–296.
  • KODERA J., PÁNKOVÁ V., Capital yields assessment through cross section production function. Bulletin of Czech Econometric Society, 2001, 8 (14), 79–87.
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  • KUMBHAKAR S.C., KNOX LOVELL C.A., Stochastic Frontier Analysis, Cambridge University Press, 2000.
  • PÁNKOVÁ V., Tobinovo Q. Teorie a aplikace, Polit. ekon., 2005, 53 (5), 601–608.
  • PARMETER C.F., KUMBHAKAR S.C., Efficiency analysis. A primer on recent advances. Foundations and Trends® in econometrics, Now Publ., 2014, 7, 191–385.
  • PARMETER C.F., WANG H.J., KUMBHAKAR S.C., Nonparametric estimation of the determinants of inefficiency, J. Prod. Anal., 2017, 47, 205–221.
  • PASSING H., BABLOK W., https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/Passing-Bablok_Regressionfor_Method_Comparison.pdf., 2018.
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  • SATYA P., SRIRAM S., Estimating efficiency effects in a panel data stochastic frontier model, Munich Personal RePEc Archive, https://mpra.ub.uni-muenchen.de/89236/9/MPRA_paper_89236.pdf., 2018.
  • SATYA P., SRIRAM S., On estimating efficiency effects in a stochastic frontier model, Eur. J. Oper. Res., 2018, 271, 769–774.
  • WILLIM A.P., Price book value and Tobin’s Q: Which one is better for measure corporate governance?, Eur. J. Bus. Manage., 2015, 7 (27), 74–79.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-4c9bcd07-48eb-4f99-837d-b7894c8d2ad6
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