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R&D in a post centrally-planned economy: The macroeconomic effects in Poland

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  • Zawalińska, Katarzyna
  • Tran, Nhi
  • Płoszaj, Adam
Abstract
Half a century of centrally planned policy in the Central and Eastern European countries resulted in outdated technologies, inefficient allocation of resources and low productivity. Following the end of communism there was a fifteen year process of transition which ended in 2004 with eight post-communist countries joining the European Union (EU) of which Poland was the largest. As part of the EU these countries now face the challenge of the common EU strategy Europe 2020, which has set the target of achieving R&D expenditure to GDP ratio (called the R&D intensity) of 3% by 2020 for the Union as a whole in an effort to increase the competitiveness of the region. Poland, like the other post-communist countries, faces a lower target of R&D intensity, set at 1.7%. Nevertheless, the challenge is immense, since the country is still at only half that level and has little experience in developing policies to help achieve it. In this paper we tested two possible policy options to achieve the target: (1) to increase government expenditures on R&D and; (2) to provide tax relief on R&D to businesses. The method applied to assess the options is a recursive dynamic computable general equilibrium (CGE) model for Poland with an explicit link between productivity and R&D stock. The results show that achieving the R&D intensity target via the use of tax relief is 2.5 times more costly to the government budget, but it has a greater impact on the economy in terms of a higher GDP growth. Tax relief proved efficient in the short run while in the long run the government expenditure policy provides better value for money.

Suggested Citation

  • Zawalińska, Katarzyna & Tran, Nhi & Płoszaj, Adam, 2018. "R&D in a post centrally-planned economy: The macroeconomic effects in Poland," Journal of Policy Modeling, Elsevier, vol. 40(1), pages 37-59.
  • Handle: RePEc:eee:jpolmo:v:40:y:2018:i:1:p:37-59
    DOI: 10.1016/j.jpolmod.2017.09.007
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    1. Andries Brandsma & D'Artis Kancs, 2015. "RHOMOLO: A Dynamic General Equilibrium Modelling Approach to the Evaluation of the European Union's R&D Policies," Regional Studies, Taylor & Francis Journals, vol. 49(8), pages 1340-1359, August.
    2. Rachel Griffith & Stephen Redding & John Van Reenen, 2004. "Mapping the Two Faces of R&D: Productivity Growth in a Panel of OECD Industries," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 883-895, November.
    3. José Ángel Zúñiga-Vicente & César Alonso-Borrego & Francisco J. Forcadell & José I. Galán, 2014. "Assessing The Effect Of Public Subsidies On Firm R&D Investment: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 28(1), pages 36-67, February.
    4. Blomström, Magnus & Kokko, Ari & Sjöholm, Fredrik, 2002. "Growth & Innovation Policies For a Knowledge Economy. Experiences From Finland, Sweden & Singapore," EIJS Working Paper Series 156, Stockholm School of Economics, The European Institute of Japanese Studies.
    5. Nadiri, M Ishaq & Prucha, Ingmar R, 1996. "Estimation of the Depreciation Rate of Physical and R&D Capital in the U.S. Total Manufacturing Sector," Economic Inquiry, Western Economic Association International, vol. 34(1), pages 43-56, January.
    6. Brautzsch, Hans-Ulrich & Günther, Jutta & Loose, Brigitte & Ludwig, Udo & Nulsch, Nicole, 2015. "Can R&D subsidies counteract the economic crisis? – Macroeconomic effects in Germany," Research Policy, Elsevier, vol. 44(3), pages 623-633.
    7. Laura Bottazzi & Giovanni Peri, 2007. "The International Dynamics of R&D and Innovation in the Long Run and in The Short Run," Economic Journal, Royal Economic Society, vol. 117(518), pages 486-511, March.
    8. Jacques Mairesse & Mohamed Sassenou, 1991. "R&D Productivity: A Survey of Econometric Studies at the Firm Level," NBER Working Papers 3666, National Bureau of Economic Research, Inc.
    9. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    10. Schankerman, Mark & Pakes, Ariel, 1986. "Estimates of the Value of Patent Rights in European Countries during the Post-1950 Period," Economic Journal, Royal Economic Society, vol. 96(384), pages 1052-1076, December.
    11. Charles I. Jones & John C. Williams, 1998. "Measuring the Social Return to R&D," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1119-1135.
    12. Sid Shanks & Simon Zheng, 2006. "Econometric Modelling of R&D and Australia's Productivity," Staff Working Papers 0604, Productivity Commission, Government of Australia.
    13. Giorgio Garau & Patrizio Lecca, 2015. "The Impact of Regional R&D Subsidy in a Computable General Equilibrium Model," International Regional Science Review, , vol. 38(4), pages 319-357, October.
    14. Pakes, Ariel & Schankerman, Mark A., 1978. "The Rate of Obsolescence of Knowledge, Research Gestation Labs, and the Private Rate of Return to Research Resources," Working Papers 78-13, C.V. Starr Center for Applied Economics, New York University.
    15. Sorin Krammer, 2010. "International R&D spillovers in emerging markets: The impact of trade and foreign direct investment," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 19(4), pages 591-623.
    16. Zvi Griliches, 1998. "The Search for R&D Spillovers," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 251-268, National Bureau of Economic Research, Inc.
    17. Jaanika Meriküll & Helen Poltimäe & Tiiu Paas, 2013. "International Technology Diffusion," Eastern European Economics, Taylor & Francis Journals, vol. 51(2), pages 21-38, March.
    18. Hong, Chanyoung & Yang, Heewon & Hwang, Wonsik & Lee, Jeong-Dong, 2014. "Validation of an R&D-based computable general equilibrium model," Economic Modelling, Elsevier, vol. 42(C), pages 454-463.
    19. Gary Madden & Scott Savage & Paul Bloxham, 2001. "Asian and OECD international R&D spillovers," Applied Economics Letters, Taylor & Francis Journals, vol. 8(7), pages 431-435.
    20. Arndt, Channing, 1996. "An Introduction To Systematic Sensitivity Analysis Via Gaussian Quadrature," Technical Papers 28709, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    21. Glyn Wittwer & Mark Horridge, 2010. "Bringing Regional Detail to a CGE Model using Census Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 229-255.
    22. Marcin Kolasa, 2008. "Productivity, innovation and convergence in Poland1," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 16(3), pages 467-501, July.
    23. Irena Å Ä…cka, 2012. "The state of linkages between the science and industry in Poland before the reform of the sector of science and research," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 2(4), pages 1-4.
    24. repec:lic:licosd:15605 is not listed on IDEAS
    25. Magdalena Owczarczuk, 2013. "Government Incentives and FDI inflow into R&D – The Case of Visegrad Countries," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 1(2), pages 73-86.
    26. Kamil Pruchnik & Jerzy Toborowicz, 2014. "Low Level of Innovativeness and the Middle Income Trap – Polish Case Study," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 10(2), pages 141-157.
    27. Horridge, Mark & Madden, John & Wittwer, Glyn, 2005. "The impact of the 2002-2003 drought on Australia," Journal of Policy Modeling, Elsevier, vol. 27(3), pages 285-308, April.
    28. Bernstein, Jeffrey I. & Mamuneas, Theofanis P., 2006. "R&D depreciation, stocks, user costs and productivity growth for US R&D intensive industries," Structural Change and Economic Dynamics, Elsevier, vol. 17(1), pages 70-98, January.
    29. Ali-Yrkkö, Jyrki & Maliranta, Mika, 2006. "Impact of R&D on Productivity - Firm-level Evidence from Finland," Discussion Papers 1031, The Research Institute of the Finnish Economy.
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    More about this item

    Keywords

    R&D policy; Productivity spillovers; Stock of knowledge; CGE model; Post-communist countries;
    All these keywords.

    JEL classification:

    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • P27 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Performance and Prospects

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