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Small and Medium-Sized Enterprises, Business Demography and European Socio-Economic Model: Does the Paradigm Really Converge?

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  • Jean Vasile Andrei

    (Faculty of Economic Sciences, Petroleum-Gas University of Ploiesti, Bulevardul Bucuresti, No. 39, 100680 Ploiesti, Prahova, Romania
    National Institute of Economic Research, “Costin C. Kiriţescu”, Romanian Academy, Casa Academiei Române, Calea 13 September, No. 13, Sector 5, 050711 Bucharest, Bucharest, Romania)

  • Luminita Chivu

    (National Institute of Economic Research, “Costin C. Kiriţescu”, Romanian Academy, Casa Academiei Române, Calea 13 September, No. 13, Sector 5, 050711 Bucharest, Bucharest, Romania)

  • Ileana Georgiana Gheorghe

    (Faculty of Economic Sciences, Petroleum-Gas University of Ploiesti, Bulevardul Bucuresti, No. 39, 100680 Ploiesti, Prahova, Romania)

  • Aleksandar Grubor

    (Faculty of Economics in Subotica, University of Novi Sad, Segedinskiput 9-11, 24000 Subotica, Serbia)

  • Teodor Sedlarski

    (Faculty of Economics and Business Administration, St. Kliment Ohridski University of Sofia, 125 Tsarigradsko Shose Blvd., Bl.3, Sofia 1113, Bulgaria)

  • Violeta Sima

    (Faculty of Economic Sciences, Petroleum-Gas University of Ploiesti, Bulevardul Bucuresti, No. 39, 100680 Ploiesti, Prahova, Romania)

  • Jonel Subić

    (Institute of Agricultural Economics, Volgina 15, 11060 Belgrade, Serbia)

  • Mile Vasic

    (European Marketing and Management Association, 5 Knezopoljska Street, 78000 Banja Luka, Bosnia and Herzegovina)

Abstract

Although the European business environment induces important premises and assures conditions in determining economic growth and social well-being, the determinant and existent connections between the evolution of small and medium-sized enterprises (SMEs), business demography characteristics and the European socio-economic model have been scarcely studied in recent years. The dimensions of the European socio-economic model design a very specific framework in developing business demography and assuring a favorable environment for future SME development. The main aim of the manuscript is to investigate the evolution of the European SMEs sector and the perspective of business demography evolution to converge with exigencies of the European socio-economic model. In order to argue the research objective, eight specific and representative business demography variables were employed, from 12 European Union member states (EU-MS), during 2009–2017. Further, the SMEs’ performances, determined by changing the economic functional paradigm, were assessed. For proving this, an econometric model was designed considering labor productivity as an endogenous variable. Our preliminary analysis shows considerable differences in business demography indicators and SMEs development among all five socio-economic sub-models of the main European socio-economic model, proving a tight connection between European socio-economic models and SMEs’ performance and arguing the necessity of a paradigm convergence. Within some sub-models, there is clear evidence of clustering and convergence in terms of business demography and SMEs future development.

Suggested Citation

  • Jean Vasile Andrei & Luminita Chivu & Ileana Georgiana Gheorghe & Aleksandar Grubor & Teodor Sedlarski & Violeta Sima & Jonel Subić & Mile Vasic, 2021. "Small and Medium-Sized Enterprises, Business Demography and European Socio-Economic Model: Does the Paradigm Really Converge?," JRFM, MDPI, vol. 14(2), pages 1-29, February.
  • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:2:p:64-:d:493036
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    References listed on IDEAS

    as
    1. Alina Mihaela Dima & Liviu Begu & Maria Denisa Vasilescu & Maria Alexandra Maassen, 2018. "The Relationship between the Knowledge Economy and Global Competitiveness in the European Union," Sustainability, MDPI, vol. 10(6), pages 1-15, May.
    2. Rogge, Nicky & Archer, Geoffrey, 2021. "Measuring and analyzing country change in establishing ease of doing business using a revised version of World Bank's ease of doing business index," European Journal of Operational Research, Elsevier, vol. 290(1), pages 373-385.
    3. Ioan Batrancea & Ioan-Dan Morar & Ema Masca & Sabau Catalin & Liviu Bechis, 2018. "Econometric Modeling of SME Performance. Case of Romania," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
    4. McGuinness, Gerard & Hogan, Teresa & Powell, Ronan, 2018. "European trade credit use and SME survival," Journal of Corporate Finance, Elsevier, vol. 49(C), pages 81-103.
    5. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. Shirokova, Galina & Berezinets, Irina & Shatalov, Alexander, 2014. "Organizational change and firm growth in emerging economies," Journal of East European Management Studies, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 19(2), pages 185-212.
    8. Fagerberg, Jan & Srholec, Martin & Verspagen, Bart, 2010. "Innovation and Economic Development," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 833-872, Elsevier.
    9. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    10. Zapata, Hector O & Rambaldi, Alicia N, 1997. "Monte Carlo Evidence on Cointegration and Causation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(2), pages 285-298, May.
    11. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    12. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    13. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    14. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    15. Hoffman, Dennis L & Rasche, Robert H, 1996. "Assessing Forecast Performance in a Cointegrated System," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 495-517, Sept.-Oct.
    16. Tan, Alvin & Brewer, Paul & Liesch, Peter, 2018. "Rigidity in SME export commencement decisions," International Business Review, Elsevier, vol. 27(1), pages 46-55.
    17. David K. Chalmers & Marco Della Porta & Luca Sensini, 2020. "Export Intensity and Leverage: An Empirical Analysis of Spanish SMEs," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 382-386.
    18. Gaganis, Chrysovalantis & Pasiouras, Fotios & Voulgari, Fotini, 2019. "Culture, business environment and SMEs' profitability: Evidence from European Countries," Economic Modelling, Elsevier, vol. 78(C), pages 275-292.
    19. Kibeshi Kiyabo & Nsubili Isaga, 2020. "Entrepreneurial orientation, competitive advantage, and SMEs’ performance: application of firm growth and personal wealth measures," Journal of Innovation and Entrepreneurship, Springer, vol. 9(1), pages 1-15, December.
    20. David K. Chalmers & Marco Della Porta & Luca Sensini, 2020. "Export Intensity and Leverage: An Empirical Analysis of Spanish SMEs," International Journal of Economics and Financial Issues, Econjournals, vol. 10(5), pages 382-386.
    21. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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