IDEAS home Printed from https://ideas.repec.org/a/url/izvest/v20y2019i5p108-124.html
   My bibliography  Save this article

The study of high-tech companies’ growth specifics applying the parametric approach

Author

Listed:
  • Marina V. Evseeva

    (Ural State University of Economics)

Abstract

The economic literature have not unequivocally answered the question whether Russian high-technology companies possess some growth advantages compared to others. The paper studies the growth specifics of companies in high-technology sector that distinguish them from medium- and low-technology companies. Methodologically, the researcher relies on theoretical concepts of technological development, Schumpeterian theories of endogenous growthbased on the notion that technological development is linked equally with emergence of the new and evolution of the old technologies. The study applies panel and comparative parametric analysis methods. The factor productivity is taken as an absolute indicator of technological growth. The empirical evidence of the research is a sample of companies from the high-technology sector, two medium-technology industries, and one low-technology industry (6811 companies in total). The findings demonstrate that high- and medium-technology companies are comparable according to the selected parameters, but differ significantly from low-technology companies. Companies’ concentration in the industrial market also matters, defined in the form of the Herfindahl-Hirschman Index. In addition, a significant number of inefficient companies are found in the high-technology industry of aircraft manufacturing, which also features the most fragmented environment and vast gaps in factor productivity. Intangible assets ratios are higher for companies with maximum values of factor productivity, the lowest values belong to the lowtechnology industry of primary metal products. The author concludes about the relevance of assessing the potential of technological growth for manufacturing industries on the basis of their ability to grow and timely get rid of unproductive companies blocking its resources.

Suggested Citation

  • Marina V. Evseeva, 2019. "The study of high-tech companies’ growth specifics applying the parametric approach," Journal of New Economy, Ural State University of Economics, vol. 20(5), pages 108-124, December.
  • Handle: RePEc:url:izvest:v:20:y:2019:i:5:p:108-124
    DOI: 10.29141/2073-1019-2019-20-5-7
    as

    Download full text from publisher

    File URL: http://jne.usue.ru/images/download/85/7.pdf
    Download Restriction: no

    File URL: http://jne.usue.ru/ru/2019/836
    Download Restriction: no

    File URL: https://libkey.io/10.29141/2073-1019-2019-20-5-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sasidharan, Subash & Kathuria, Vinish, 2011. "Foreign Direct Investment and R&D: Substitutes or Complements--A Case of Indian Manufacturing after 1991 Reforms," World Development, Elsevier, vol. 39(7), pages 1226-1239, July.
    2. Macpherson, Allan & Holt, Robin, 2007. "Knowledge, learning and small firm growth: A systematic review of the evidence," Research Policy, Elsevier, vol. 36(2), pages 172-192, March.
    3. Müge Adalet McGowan & Dan Andrews & Valentine Millot & Thorsten BeckManaging Editor, 2018. "The walking dead? Zombie firms and productivity performance in OECD countries," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 33(96), pages 685-736.
    4. Eric Bartelsman & John Haltiwanger & Stefano Scarpetta, 2013. "Cross-Country Differences in Productivity: The Role of Allocation and Selection," American Economic Review, American Economic Association, vol. 103(1), pages 305-334, February.
    5. Marc J. Melitz, 2003. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," Econometrica, Econometric Society, vol. 71(6), pages 1695-1725, November.
    6. Satu Nurmi, 2004. "Plant Size, Age and Growth in Finnish Manufacturing," Finnish Economic Papers, Finnish Economic Association, vol. 17(1), pages 3-17, Spring.
    7. Nicholas Bloom & John Van Reenen, 2002. "Patents, Real Options and Firm Performance," Economic Journal, Royal Economic Society, vol. 112(478), pages 97-116, March.
    8. Voskoboynikov, Ilya B., 2017. "Sources of long run economic growth in Russia before and after the global financial crisis," Russian Journal of Economics, Elsevier, vol. 3(4), pages 348-365.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marina V. Evseeva, 2020. "Comparative effectiveness of high-tech and medium-tech business models: Key indicators and value sustainability," Upravlenets, Ural State University of Economics, vol. 11(3), pages 59-71, July.

    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. Zemtsov, S. & Chernov, A., 2019. "What High-Tech Companies in Russia Grow Faster and Why?," Journal of the New Economic Association, New Economic Association, vol. 41(1), pages 68-99.
    2. Dolores Añón Higón & Juan A. Máñez & María E. Rochina-Barrachina & Amparo Sanchis & Juan A. Sanchis, 2022. "Firms’ distance to the European productivity frontier," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 197-228, June.
    3. Redha Fares, 2022. "Bankruptcy, Performance and Market Selection: Evidence from Firms in France," Erudite Ph.D Dissertations, Erudite, number ph22-01 edited by Claude Mathieu, December.
    4. Amitabh Chandra & Amy Finkelstein & Adam Sacarny & Chad Syverson, 2016. "Health Care Exceptionalism? Performance and Allocation in the US Health Care Sector," American Economic Review, American Economic Association, vol. 106(8), pages 2110-2144, August.
    5. Alessandra Bonfiglioli & Rosario Crinò & Gino Gancia, 2018. "Firms and Economic Performance: A view from Trade," Working Papers 1034, Barcelona School of Economics.
    6. N. N., 2019. "WIFO-Monatsberichte, Heft 12/2019," WIFO Monatsberichte (monthly reports), WIFO, vol. 92(12), December.
    7. Catherine Fuss & Angelos Theodorakopoulos, 2018. "Compositional Changes in Aggregate Productivity in an Era of Globalisation and Financial Crisis," Working Papers of VIVES - Research Centre for Regional Economics 627696, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.
    8. Cristina Fernández & Roberta García & Paloma Lopez-Garcia & Benedicta Marzinotto & Roberta Serafini & Juuso Vanhala & Ladislav Wintr, 2017. "Firm growth in Europe: An overview based on the COMPNET labour module," BCL working papers 107, Central Bank of Luxembourg.
    9. Tamberi, Massimo, 2020. "Productivity differentials along the development process: A “MESO” approach," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 99-107.
    10. Umut Kılınç, 2018. "Assessing Productivity Gains from International Trade in a Small Open Economy," Open Economies Review, Springer, vol. 29(5), pages 953-980, November.
    11. Stefan Bender & Nicholas Bloom & David Card & John Van Reenen & Stefanie Wolter, 2018. "Management Practices, Workforce Selection, and Productivity," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 371-409.
    12. Bloom, Nick & Manova, Kalina & Teng Sun, Stephen & Van Reenen, John & Yu, Zhihong, 2018. "Managing trade: evidence from China and the US," LSE Research Online Documents on Economics 88703, London School of Economics and Political Science, LSE Library.
    13. Giordano, Claire & Lopez-Garcia, Paloma, 2019. "Firm heterogeneity and trade in EU countries: a cross-country analysis," Occasional Paper Series 225, European Central Bank.
    14. Benjamin Faber & Thibault Fally, 2022. "Firm Heterogeneity in Consumption Baskets: Evidence from Home and Store Scanner Data [Measuring Trends in Leisure: The Allocation of Time over Five Decades]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(3), pages 1420-1459.
    15. Mertens, Matthias & Mueller, Steffen, 2022. "The East-West German gap in revenue productivity:Just a tale of output prices?," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 815-831.
    16. Laura Alfaro & Andrew Charlton & Fabio Kanczuk, 2009. "Plant Size Distribution and Cross-Country Income Differences," NBER Chapters, in: NBER International Seminar on Macroeconomics 2008, pages 243-272, National Bureau of Economic Research, Inc.
    17. Jose Asturias & Sewon Hur & Timothy J. Kehoe & Kim J. Ruhl, 2023. "Firm Entry and Exit and Aggregate Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(1), pages 48-105, January.
    18. Chan, Jackie M.L., 2019. "Financial frictions and trade intermediation: Theory and evidence," European Economic Review, Elsevier, vol. 119(C), pages 567-593.
    19. Jiang, Zheng & Shi, Huimin, 2016. "The selection of firms based on productivity: different roles of entry and overhead cost," Economic Modelling, Elsevier, vol. 54(C), pages 537-544.
    20. Bento, Pedro & Restuccia, Diego, 2021. "On average establishment size across sectors and countries," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 220-242.

    More about this item

    Keywords

    high-tech company; technological development; potential; factor productivity; manufacturing.;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    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:url:izvest:v:20:y:2019:i:5:p:108-124. 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: Victor Blaginin (email available below). General contact details of provider: https://edirc.repec.org/data/usueeru.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.