IDEAS home Printed from https://ideas.repec.org/a/hig/fsight/v10y2016i3p76-91.html
   My bibliography  Save this article

Modeling the Development of Regional Economy and an Innovation Space Efficiency

Author

Listed:
  • Valery Makarov

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

  • Sergey Ayvazyan

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

  • Mikhail Afanasyev

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

  • Albert Bakhtizin

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

  • Ashkhen Nanavyan

    (Central Economic Mathematical Institute of the Russian Academy of Sciences (Russia))

Abstract

Forming the regional space of innovation is accompanied by the simultaneous development of various structures. The contemporary model of innovative development assumes interactions between government, industry, and universities. In this paper, the set of potential links between research organizations and the innovation activity of enterprises is characterized as the innovative space and is seen as a resource for innovation. Obtaining quantitative characteristics of such links and interactions is one of the most difficult tasks in analysing innovation processes. Our hypothesis is that regional innovation depends on the size of the innovation space and on how effectively it is used. The econometric modeling results do not contradict our hypothesis. Our estimates of the size of the innovation space used by regions of Russia when creating new production technologies confirm the high potential value of this resource. Using a Computable General Equilibrium (CGE) model that we developed, we analysed the innovative elements of regional economies (based on the example of the Republic of Bashkortostan) and quantitatively assessed the effects of different scenarios that aim to improve the socio-economic system. We included an indicator of the effective use of the innovation space for a given region as one of the agents of the CGE model production function. Our results indicate the important role of regional authorities in promoting cooperation between the state, industry, and the research and education communities as well as in developing regional innovation systems.

Suggested Citation

  • Valery Makarov & Sergey Ayvazyan & Mikhail Afanasyev & Albert Bakhtizin & Ashkhen Nanavyan, 2016. "Modeling the Development of Regional Economy and an Innovation Space Efficiency," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 10(3), pages 76-91.
    • Handle: RePEc:hig:fsight:v:10:y:2016:i:3:p:76-91
    as

    Download full text from publisher

    File URL: https://foresight-journal.hse.ru/data/2016/10/07/1122859293/7-Makarov%20et%20al-76-91.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    2. John Butler & David Gibson, 2013. "Research Universities in the Framework of Regional Innovation Ecosystem: The Case of Austin, Texas," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 7(2), pages 42-57.
    3. Nadezhda Nikolaevna Mikheeva, 2014. "Comparative Analysis of Innovative Systems in the Russian Regions," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 4, pages 61-81.
    4. Alexey Aleksandrovich Rumyantsev, 2013. "Basic Properties and Problem Fields of Scientific-Innovation Space of the Region," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 2, pages 103-118.
    5. Denis Ivanov & Mikhail Kuzyk & Yury Simachev, 2012. "Fostering Innovation Performance of Russian Manufacturing Enterprises: New Opportunities and Limitations," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(2), pages 18-42.
    6. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    7. Aivazian, Sergei & Afanasiev, Mikhail & Rudenko, Victoria, 2012. "Some specification aspects for three-factor models of a company's production potential taking into account intellectual capital," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 27(3), pages 36-69.
    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. Viktoria V. Akberdina & Andrey I. Volodin & Roman V. Gubarev & Evgeniy I. Dzyuba & Fanil’ S. Fayzullin, 2020. "Models of public investment management at regional level," Upravlenets, Ural State University of Economics, vol. 11(1), pages 45-56, March.
    2. Jutta Günther & Dirk Meissner, 2017. "Clusters as Innovative Melting Pots?—the Meaning of Cluster Management for Knowledge Diffusion in Clusters," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(2), pages 499-512, June.
    3. Dmitriy Aleksandrovich Abashev & Valery Vitalyevich Yanovskiy, 0. "Modern Approach to the Regional Strategic Planning: Main Directions and Tools," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 7.

    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. Aivazian, Sergei & Afanasiev, Mikhail & Kudrov, Alexander & Lysenkova, Maria, 2017. "To the question about parameterization of national innovation system," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 29-49.
    2. Valeriy Makarov & Albert Bakhtizin, 2014. "The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 9-30.
    3. Sabrina Auci & Laura Castellucci & Manuela Coromaldi, 2021. "How does public spending affect technical efficiency? Some evidence from 15 European countries," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 108-130, January.
    4. Ayvazyan Sergey Arutyunovich & Afanasyev Mikhail Yuryevich, 2015. "Assessment of innovative activity of regions in the Russian federation," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 11(1), pages 7-21.
    5. Haddad, Mona, 1993. "How trade liberalization affected productivity in Morocco," Policy Research Working Paper Series 1096, The World Bank.
    6. Айвазян С.А. & Афанасьев М.Ю. & Кудров А.В., 2016. "Модели Производственного Потенциала И Оценки Технологической Эффективности Регионов Рф С Учетом Структуры Производства," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 52(1), pages 28-44, январь.
    7. Айвазян С.А. & Афанасьев М.Ю. & Руденко В.А., 2014. "Оценка Эффективности Регионов Рф На Основе Модели Производственного Потенциала С Характеристиками Готовности К Инновациям," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 50(4), pages 34-70, октябрь.
    8. Jaunky, Vishal Chandr, 2013. "Divergence in technical efficiency of electric utilities: Evidence from the SAPP," Energy Policy, Elsevier, vol. 62(C), pages 419-430.
    9. Ceyhun Elgin & Selman Çakır, 2015. "Technological progress and scientific indicators: a panel data analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(3), pages 263-281, April.
    10. Luis Antonio Galiano Bastarrica & Eva M. Buitrago Esquinas & María Ángeles Caraballo Pou & Rocío Yñiguez Ovando, 2023. "Environmental adjustment of the EU27 GDP: an econometric quantitative model," Environment Systems and Decisions, Springer, vol. 43(1), pages 115-128, March.
    11. Thompson, Herbert Jr. & Garbacz, Christopher, 2007. "Mobile, fixed line and Internet service effects on global productive efficiency," Information Economics and Policy, Elsevier, vol. 19(2), pages 189-214, June.
    12. Макаров Валерий Леонидович & Айвазян Сергей Арутюнович & Афанасьев Михаил Юрьевич & Бахтизин Альберт Рауфович & Нанавян Ашхен Мардиросовна, 2014. "Оценка Эффективности Регионов Рф С Учетом Интеллектуального Капитала, Характеристик Готовности К Инновациям, Уровня Благосостояния И Качества Жизни Населения," Экономика региона, CyberLeninka;Федеральное государственное бюджетное учреждение науки «Институт экономики Уральского отделения Российской академии наук», issue 4, pages 9-30.
    13. Dale Squires & Kathleen Segerson, 2022. "Capacity and Capacity Utilization in Production Economics," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 24, pages 1001-1037, Springer.
    14. Kailash Chandra Pradhan & Shrabani Mukherjee, 2018. "Examining Technical Efficiency in Indian Agricultural Production Using Production Frontier Model," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 19(1), pages 22-42, March.
    15. Arnab Bhattacharjee & Eduardo de Castro & (Late) Chris Jensen-Butler, 2007. "Evaluating Economic Theories of Growth and Inequality: A Study of the Danish Economy," CDMA Working Paper Series 200723, Centre for Dynamic Macroeconomic Analysis.
    16. Rao, B. Bhaskara, 2010. "Estimates of the steady state growth rates for selected Asian countries with an extended Solow model," Economic Modelling, Elsevier, vol. 27(1), pages 46-53, January.
    17. Prof. Dr. Adem KALCA & Resc. Assist. Atakan DURMAZ, 2012. "Diaspora As The Instrument Of Humane Capital," International Journal of Business and Social Research, LAR Center Press, vol. 2(5), pages 94-104, October.
    18. Burda, Michael C. & Zessner-Spitzenberg, Leopold, 2024. "Greenhouse Gas Mitigation and Price-Driven Growth in a Solow-Swan Economy with an Environmental Limit," IZA Discussion Papers 16771, Institute of Labor Economics (IZA).
    19. João Juchem Neto & Julio Claeyssen, 2015. "Capital-induced labor migration in a spatial Solow model," Journal of Economics, Springer, vol. 115(1), pages 25-47, May.
    20. Erich Gundlach, 2003. "Growth Effects of EU Membership: The Case of East Germany," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(3), pages 237-270, September.

    More about this item

    Keywords

    regional economy; innovation; econometric modeling; check of hypotheses; stochastic border; efficiency assessment;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

    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:hig:fsight:v:10:y:2016:i:3:p:76-91. 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: Nataliya Gavrilicheva or Mikhail Salazkin (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.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.