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Is Russia Rationally Developing its Small and Medium-Sized Enterprises? An Analysis of Regional Production Functions


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Adamadziev, K.R. and, Khalilov, M.A. (2016). Production functions models: the calculation parameters and characteristics, dependency analysis of output from the resource costs. Fundamental researches; 4 (2): 339-345.Search in Google Scholar

Afanasyev, A.A. and Ponomarev, O.S. (2014). Production function of national economy of Russia in 1990-2012. Economics and mathematical methods; 50 (4): 21-33.Search in Google Scholar

Antipov, V.I. (2012). Production function of the Russian economy. Economics, statistics and Informatics; 5: 101-104.Search in Google Scholar

Balistreri, E.J., Mcdaniel, C.A. and Wong, E.V. (2003). An estimation of US industry-level capital- labor substitution elasticities: support for Cobb-Douglas. The North American Journal of Economics and Finance; 14 (3): 343-356.10.1016/S1062-9408(03)00024-XOpen DOISearch in Google Scholar

Baranov, S.V. (2014). Economic models of production functions: history and modernity. Economic Sciences; 10: 53-57.Search in Google Scholar

Baumol, W.J. (2004). Entrepreneurial enterprises, large established firms and other components of the free-market growth machine. Small Business Economics; 23: 9-21.10.1023/B:SBEJ.0000026057.47641.a6Open DOISearch in Google Scholar

Belych, T.I. and Burdukovskaja, A.V. (2015). The application of production functions in forecasting. Baikal Research Journal; 6 (4).Search in Google Scholar

Bessonov, V.A. and Tsukhlo, S.V. (2002). Development problems of production functions in the Russian transition economy. Analysis of the dynamics of Russian transition economy. Moscow. Institute of economy in transition: 5-89.Search in Google Scholar

Castano, M.S., Mendez, M.T. and Galindo, M.A. (2016). The effect of public policies on entrepreneurial activity and economic growth. Journal of Business Research; 69(11): 5280-5285.Search in Google Scholar

Charoenrat, T., and Harvie, C. (2013). Technical Efficiency of Thai Manufacturing SMEs: A Stochastic Frontier Analysis. Australasian Accounting. Business and Finance Journal, no. 7(1), pp. 97-122.10.14453/aabfj.v7i1.7Search in Google Scholar

Choi, J. and Kim, I. (2017). Regional total factor productivity and local employment growth: evidence from Korea. Asia-Pacific Journal of Regional Science; 1: 1-8.Search in Google Scholar

Demidenko, E.Z. (1981). Linear and nonlinear regression. Moscow: Finance and Statistics: 302.Search in Google Scholar

Doh, S. and Kim, B. (2014). Government support for SME innovations in the regional industries: The case of government financial support program in South Korea. Research Policy; 43 (9): 1557-1569.10.1016/j.respol.2014.05.001Open DOISearch in Google Scholar

Douglas P. (1967). Comments on the Cobb-Douglas Production Function. The Theory and Empirical Analysis of Production. Columbia University Press. pp. 15-22. National Bureau of Economic Research, available at: http://www.nber.org/chapters/c1474. (Accessed December 20, 2017).Search in Google Scholar

Draper, N. and Smith, H. (1998). Applied regression analysis, John Wiley & Sons, New York, USA.10.1002/9781118625590Search in Google Scholar

Eliseeva, I.I. (2003). Econometrics. Moscow: Finance and Statistics: 344.Search in Google Scholar

Federal law, 2007. “On the development of small and medium-sized enterprises in the Russian Federation” from 24.07.2007 No. 209/07-FL.Search in Google Scholar

Federal Statistics Service, 2018. [online] Continuous monitoring of small and medium-sized businesses for the year 2015. Available on http://www.gks.ru/free_doc/new_site/business/prom/splosh.html (accessed 20.02.2018).Search in Google Scholar

Felipe, J. and McCombie, J. (2012). Problems with Regional Production Functions and Estimates of Agglomeration Economies: A Caveat Emptor for Regional Scientists. Cambridge Centre for Economic and Public Policy. Working Paper no. 725.10.2139/ssrn.2062470Search in Google Scholar

Gafarova, E.A. 2013. Modeling of regional development through production functions. Science studies; 3: 1-7.Search in Google Scholar

Gavrilenkov, E. E. (2000). Economic growth and long-term development strategy of Russia. Russian economy: experience of transformation of the 1990s and prospects for its development. GUVSHE, Moscow, pp. 55-78.Search in Google Scholar

Ginzburg, M. and Pinkovetskaya, Y. (2017). Fiscal capacity of the regions and their SMEs development: evidence from Russia. In Špalková, D., Matějová, L. (Eds): Proceedings of the 21th International Conference: Current Trends in Public Sector Research. Brno: Masaryk University, 148-154.Search in Google Scholar

Granberg, A.G. (1988). Simulation the socialist economy. Moscow: Economics: 487.Search in Google Scholar

Grigore, A.-M.A. and Dragan, I.-M.B. (2015). Entrepreneurship and its economical value in a very dynamic business environment. Amfiteatru Economic; 17 (38): 120-132.Search in Google Scholar

Harris, R. J. (1985). A primer of multivariate statistics. New York: Academic Press: 632.Search in Google Scholar

Kazakova, M.V. (2013). Properties analysis of production functions used in the decomposition of economic growth. Moscow: RANHiGS: 48.Search in Google Scholar

Khodasevich, G. B. [online] Working with experimental data processing on computer. Part 2. Processing one-dimensional arrays. Available on http://dvo.sut.ru/libr/opds/i130hod2/index.htm (accessed 21.12.2017).Search in Google Scholar

Kirilyuk, I.L. (2013). Production functions modeling for the Russian economy. Computer research and modeling; 5 (2): 293-312.Search in Google Scholar

Kleiner, G.B. (1986). Production function: theory, methods, applications. Moscow: Finance and Statistics: 239.Search in Google Scholar

Koo, J.L., Koo, B.L. and Shin, Y.H. (2013). An optimal investment, consumption, leisure, and voluntary retirement problem with Cobb-Douglas utility: Dynamic programming approaches. Applied Mathematics Letters; 26: 481-486.10.1016/j.aml.2012.11.012Open DOISearch in Google Scholar

Labini, P. S. (1995). Why the interpretation of the Cobb-Douglas production function must be radically changed. Structural Change and Economic Dynamics; 6 (4): 485-504.Search in Google Scholar

Mitin, D.V., Ginzburg, M.Y. and Chepyuk, O.R. (2014). Political uncertainty as an economic risk factor. Regional economy: theory and practice; 32 (359): 2-13.Search in Google Scholar

Muro, K. (2013). A note on the three-sector Cobb-Douglas GDP function. Economic Modeling: 31: 18-21.Search in Google Scholar

Pindyck, R. and Rubinfeld, D. (2013). Microeconomics, Pearson, New York, USA.Search in Google Scholar

Pinkovetskaya, Y.S. (2014). Some simulation results of production volumes of business structures. Phase: economic theory, analysis, practice; 2: 107-126.Search in Google Scholar

Ruzanov, A.I. and Ruzanov, P.A. (2015). On new opportunities of economic-mathematical modeling using production functions. Herald of the Nizhny Novgorod University named after N.I. Lobachevsky. Series: Social Sciences; (2): 30-34.Search in Google Scholar

Vilenskiy, A. (2011). The paradox of small business support: preliminary results of the crisis. Voprosy Ekonomiki; 6: 149-155.Search in Google Scholar

Yashina, N., Ginzburg, M., Emel’yanova, O. and Litovsky, I. (2016). Small and medium enterprise development in Russia: public expenses - are they effective? In Špalková, D., Matějová, L. (Eds): Proceedings of the 20th Scientific Conference: Current Trends in Public Sector Research. Brno: Masaryk University, 215-222.Search in Google Scholar