IDEAS home Printed from https://ideas.repec.org/a/ovi/oviste/vxxiy2021i1p18-27.html
   My bibliography  Save this article

Determinants of New Companies’ Formation in Romania at Regional Level. A Fixed Effects Model (FEM) Approach

Author

Listed:
  • Dalina-Maria Andrei

    (Institute of Economic Forecasting)

Abstract

This below article will empirically analyse the determinants of new companies’ formation basing on a panel data, covering the period 2010-2019, for 42 counties (including Bucharest municipality) of Romania. An OLS regression equation will be employed with new companies’ formation as dependent variable, and regional GDP, existing entrepreneurship, density of population, immigrants and unemployment rate as independent ones. We estimate the model with cross sections and/or with time fixed and/or random effects and we will also use an LSDV model using dummy variables in order to observe the similarities. Decisions in using a period fixed effect model FEM will be based on Hausman test and redundancy test under Eviews environment. Most of determinants considered will be found significant in their influences on new companies’ formation in Romanian counties.

Suggested Citation

  • Dalina-Maria Andrei, 2021. "Determinants of New Companies’ Formation in Romania at Regional Level. A Fixed Effects Model (FEM) Approach," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 18-27, August.
    • Handle: RePEc:ovi:oviste:v:xxi:y:2021:i:1:p:18-27
    as

    Download full text from publisher

    File URL: https://stec.univ-ovidius.ro/html/anale/RO/2021/Section%201%20and%202/3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sam Youl Lee & Richard Florida & Zoltan J. Acs, 2008. "Creativity and Entrepreneurship: A Regional Analysis of New Firm Formation," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 13, pages 171-182, Edward Elgar Publishing.
    2. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    3. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521828284, September.
    4. Georgios Fotopoulos, 2014. "On the spatial stickiness of UK new firm formation rates," Journal of Economic Geography, Oxford University Press, vol. 14(3), pages 651-679.
    5. Heike Delfmann & Sierdjan Koster & Philip McCann & Jouke Van Dijk, 2014. "Population Change and New Firm Formation in Urban and Rural Regions," Regional Studies, Taylor & Francis Journals, vol. 48(6), pages 1034-1050, June.
    6. repec:ebl:ecbull:v:18:y:2008:i:5:p:1-7 is not listed on IDEAS
    7. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    8. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    9. Vinod Sutaria & Donald A. Hicks, 2004. "New firm formation: Dynamics and determinants," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(2), pages 241-262, June.
    10. 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.
    11. Lindh, Thomas & Ohlsson, Henry, 1996. "Self-Employment and Windfall Gains: Evidence from the Swedish Lottery," Economic Journal, Royal Economic Society, vol. 106(439), pages 1515-1526, November.
    12. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    13. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    14. Catherine Armington & Zoltan J. Acs, 2008. "The Determinants of Regional Variation in New Firm Formation," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 18, pages 224-243, Edward Elgar Publishing.
    15. Akihiro Otsuka, 2008. "Determinants of new firm formation in Japan: A comparison of the manufacturing and service sectors," Economics Bulletin, AccessEcon, vol. 18(5), pages 1-7.
    16. William J. Baumol, 2002. "Entrepreneurship, Innovation and Growth: The David-Goliath Symbiosis," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 7(2), pages 1-10, Summer.
    17. Frees,Edward W., 2004. "Longitudinal and Panel Data," Cambridge Books, Cambridge University Press, number 9780521535380, September.
    18. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    19. Bourlakis, Michael & Maglaras, George & Aktas, Emel & Gallear, David & Fotopoulos, Christos, 2014. "Firm size and sustainable performance in food supply chains: Insights from Greek SMEs," International Journal of Production Economics, Elsevier, vol. 152(C), pages 112-130.
    20. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Antonio Ruiz Porras, 2016. "La investigación econométrica mediante paneles de datos:historia, modelos y usos en México," Archivos Revista Economía y Política., Facultad de Ciencias Económicas y Administrativas, Universidad de Cuenca., vol. 24, pages 11-32, Julio.
    2. Martin Andersson & Hans Lööf, 2011. "Agglomeration and productivity: evidence from firm-level data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 601-620, June.
    3. Mayer, Alexander, 2022. "On the local power of some tests of strict exogeneity in linear fixed effects models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 49-74.
    4. Vo, Duc, 2019. "The Impact of Foreign Direct Investment on Environment Degradation: Evidence from Emerging Markets in Asia," MPRA Paper 103292, University Library of Munich, Germany.
    5. Anh Hoang To & Dao Thi-Thieu Ha & Ha Minh Nguyen & Duc Hong Vo, 2019. "The Impact of Foreign Direct Investment on Environment Degradation: Evidence from Emerging Markets in Asia," IJERPH, MDPI, vol. 16(9), pages 1-24, May.
    6. Badi H. Baltagi & Chihwa Kao, 2000. "Nonstationary Panels, Cointegration in Panels and Dynamic Panels: A Survey," Center for Policy Research Working Papers 16, Center for Policy Research, Maxwell School, Syracuse University.
    7. Marta Spreafico, 2013. "Institutions, the resource curse and the transition economies: further evidence," DISCE - Quaderni del Dipartimento di Politica Economica ispe0064, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    8. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    9. Shiu, Ji-Liang & Hu, Yingyao, 2013. "Identification and estimation of nonlinear dynamic panel data models with unobserved covariates," Journal of Econometrics, Elsevier, vol. 175(2), pages 116-131.
    10. Niklas Elert, 2014. "What determines entry? Evidence from Sweden," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 55-92, August.
    11. Michael Lee & Ritchard Longmire & Laszlo Matyas & Mark Harris, 1998. "Growth convergence: some panel data evidence," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 907-912.
    12. Jun Zhao & Xiucheng Dong & Kangyin Dong, 2021. "Can agglomeration of producer services reduce urban–rural income inequality? The case of China," Australian Economic Papers, Wiley Blackwell, vol. 60(4), pages 736-762, December.
    13. David B. Audretsch & Dirk Dohse & Annekatrin Niebuhr, 2015. "Regional unemployment structure and new firm formation," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 115-138, November.
    14. Ferreira, Cândida, 2020. "Globalisation and Economic Growth: A Panel Data Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(2), pages 187-236.
    15. Emmanuel Owusu-Sekyere & Reneé van Eyden & Francis M Kemegue, 2014. "Remittances and the Dutch Disease in Sub-Saharan Africa: A Dynamic Panel Approach," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(3), September.
    16. Majid M. Al-Sadoon & Sergi Jiménez-Martín & Jose M. Labeaga, 2019. "Simple methods for consistent estimation of dynamic panel data sample selection models," Economics Working Papers 1631, Department of Economics and Business, Universitat Pompeu Fabra.
    17. Caravaggio, Nicola, 2020. "A global empirical re-assessment of the Environmental Kuznets curve for deforestation," Forest Policy and Economics, Elsevier, vol. 119(C).
    18. Peter Phillips & Hyungsik Moon, 2000. "Nonstationary panel data analysis: an overview of some recent developments," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 263-286.
    19. Jiatao Li & Haoyuan Ding & Yichuan Hu & Guoguang Wan, 2021. "Dealing with dynamic endogeneity in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(3), pages 339-362, April.
    20. Frondel, Manuel & Kaestner, Kathrin & Sommer, Stephan & Vance, Colin, 2022. "Photovoltaics and the solar rebound: Evidence for Germany," Ruhr Economic Papers 954, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    More about this item

    Keywords

    new companies formation; entrepreneurship; fixed effect model; dummy variables;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ovi:oviste:v:xxi:y:2021:i:1:p:18-27. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Gheorghiu Gabriela (email available below). General contact details of provider: https://edirc.repec.org/data/feoviro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.