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The Journal of Technology Transfer

, Volume 43, Issue 3, pp 792–814 | Cite as

Optimization in R&D intensity and tax on corporate profits for supporting labor productivity of nations

  • Mario Coccia
Article

Abstract

The purpose of this study is to analyze the rates of R&D investments and taxes levied on profits of firms that can optimize the labour productivity of nations. Statistical evidence, based on OECD data, reveals that (very) high rates of R&D intensity and tax on corporate profits do not maximize the labour productivity of nations. In particular, the models here suggest that the R&D intensity equal to about 2.5% and tax on corporate profits equal to 3.1% of the GDP seem to maximize the labour productivity of countries. Beyond these optimal thresholds, the labor productivity begins to decrease. These results can be explained by the curvilinear relationship between labour productivity and R&D intensity, and between labour productivity and tax on corporate profits. Some factors and environmental determinants of these results are discussed. These findings can clarify whenever possible, some sources of labor productivity and suggest a research and industrial policy of optimal rates of R&D intensity and tax on corporate profits (as percentage of GDP) directed to support competitive advantage, technological innovation and wealth creation of nations over time.

Keywords

Productivity R&D investment R&D intensity Tax on corporate profits Labour Curvilinear relation Innovation Optimization Technology transfer OECD countries 

JEL Classification

C00 J24 O32 O47 H21 H25 

Notes

Acknowledgements

I gratefully acknowledge financial support from the CNR - National Research Council of Italy for my visiting at Arizona State University (Grants 0072373-2014 and 0003005-2016) where this research started in 2014. The author thanks two anonymous referees and editors of The Journal of Technology Transfer for helpful comments and suggestions The author declares that he has no relevant or material financial interests that relate to the research discussed in this paper.

References

  1. Aghion, P., Akcigit, U., & Howitt, P. (2015). The Schumpeterian growth paradigm. Annual Review of Economics, 7, 557–575.CrossRefGoogle Scholar
  2. Aghion, P., Askenazy, P., Berman, N., Cette, G., & Eymard, L. (2012). Credit constraints and the cyclicality of R&D investment: Evidence from France. Journal of the European Economic Association, 10(2), 1001–1024.CrossRefGoogle Scholar
  3. Amendola, G., Dosi, G., & Papagni, E. (1993). The dynamics of international competitiveness. Weltwirtschaftliches Archiv, 129(3), 451–471.CrossRefGoogle Scholar
  4. Amore, M. D., Schneider, C., & Žaldokas, A. (2013). Credit supply and corporate innovation. Journal of Financial Economics, 109(3), 835–855.CrossRefGoogle Scholar
  5. Arnold, J. M., Bert, B., Christopher, H., Åsa, J., Cyrille, S., & Laura, V. (2011). Tax policy for economic recovery and growth. The Economic Journal, 121(1), 59–80.CrossRefGoogle Scholar
  6. Bartelsman, E. J., & Doms, M. (2000). Understanding productivity: lessons from longitudinal microdata. Journal of Economic literature, 38(3), 569–594.CrossRefGoogle Scholar
  7. Bartelsman, E. J., Haltiwanger, J., & Scarpetta, S. (2013). Cross-country differences in productivity: the role of allocation and selection. American Economic Review, 103(1), 305–334.CrossRefGoogle Scholar
  8. Baumol, W. J., & Wolff, E. N. (1983). Feedback from productivity growth to R & D. The Scandinavian Journal of Economics, 85(2), 147–157.CrossRefGoogle Scholar
  9. Bengoa, M., Román, V. M.-S., & Pérez, P. (2017). Do R&D activities matter for productivity? A regional spatial approach assessing the role of human and social capital. Economic Modelling, 60(January), 448–461.CrossRefGoogle Scholar
  10. Benos, N. (2009). Fiscal policy and economic growth: Empirical evidence from EU countries, Centre of Planning and Economic Research Discussion Paper 107. Athens: Greece.Google Scholar
  11. Bleaney, M., Norman, G., & Richard, K. (2001). Testing the endogenous growth model: public expenditure, taxation, and growth over the long run. Canadian Journal of Economics, 34(1), 36–57.CrossRefGoogle Scholar
  12. Bloom, N., Griffith, R., & Reenen, J. V. (2002). Do R&D tax credits work? Evidence from a panel of countries 1979–1997. Journal of Public Economics, 85(1), 1–31.CrossRefGoogle Scholar
  13. Bravo-Ortega, C., & García Marín, Á. (2011). R&D and productivity: A two way avenue? World Development, 39(7), 1090–1107.CrossRefGoogle Scholar
  14. Brown, J. R., Martinsson, G., & Petersen, B. C. (2012). Do financing constraints matter for R&D? European Economic Review, 56(8), 1512–1529.CrossRefGoogle Scholar
  15. Calabrese, G., Coccia, M., & Rolfo, S. (2005). Strategy and market management of new product development: Evidence from Italian SMEs. International Journal of Product Development, 2(1–2), 170–189.CrossRefGoogle Scholar
  16. Carayannis, E., & Grigoroudis, E. J. (2014). Linking innovation, productivity, and competitiveness: implications for policy and practice. The Journal of Technology Transfer, 39(2), 199–218.CrossRefGoogle Scholar
  17. Cariola, M., & Coccia, M. (2004). Technology transfer virtual network: Analysis within the national system of innovation. International Journal of Networking and Virtual Organisation, 2(2), 162–172.CrossRefGoogle Scholar
  18. Carpenter, R., & Petersen, B. (2002). Is the growth of small firms constrained by internal finance? Review of Economics and Statistics, 84(2), 298–309.CrossRefGoogle Scholar
  19. Cavallo, E., Ferrari, E., Bollani, L., & Coccia, M. (2014a). Attitudes and behaviour of adopters of technological innovations in agricultural tractors: A case study in Italian agricultural system. Agricultural Systems, 130, 44–54.CrossRefGoogle Scholar
  20. Cavallo, E., Ferrari, E., Bollani, L., & Coccia, M. (2014b). Strategic management implications for the adoption of technological innovations in agricultural tractor: The role of scale factors and environmental attitude. Technology Analysis & Strategic Management, 26(7), 765–779.CrossRefGoogle Scholar
  21. Cette, G., Fernald, J., & Mojon, B. (2016). The pre-Great Recession slowdown in productivity. European Economic Review, 88, 3–20.CrossRefGoogle Scholar
  22. Chia-Hui, H. (2015). Tax credits and total factor productivity: Firm-level evidence from Taiwan. The Journal of Technology Transfer, 40(6), 932–947.CrossRefGoogle Scholar
  23. Clausen, T. H. (2009). Do subsidies have positive impacts on R&D and innovation activities at the firm level? Structural Change and Economic Dynamics, 20(4), 239–253.CrossRefGoogle Scholar
  24. Coccia, M. (2001). Satisfaction, work involvement and R&D performance. International Journal of Human Resources Development and Management, 1(2/3/4), 268–282.Google Scholar
  25. Coccia, M. (2004). Spatial metrics of the technological transfer: Analysis and strategic management. Technology Analysis & Strategic Management, 16(1), 31–51.CrossRefGoogle Scholar
  26. Coccia, M. (2005). Countrymetrics: Valutazione della performance economica e tecnologica dei paesi e posizionamento dell’Italia. Rivista Internazionale di Scienze Sociali, 113(3), 377–412.Google Scholar
  27. Coccia, M. (2007). A new taxonomy of country performance and risk based on economic and technological indicators. Journal of Applied Economics, 10(1), 29–42.Google Scholar
  28. Coccia, M. (2008a). Science, funding and economic growth: Analysis and science policy implications. World Review of Science, Technology and Sustainable Development, 5(1), 1–27.CrossRefGoogle Scholar
  29. Coccia, M. (2008b). New organizational behaviour of public research institutions: Lessons learned from Italian case study. International Journal of Business Innovation and Research, 2(4), 402–419.CrossRefGoogle Scholar
  30. Coccia, M. (2008c). Spatial mobility of knowledge transfer and absorptive capacity: Analysis and measurement of the impact within the geoeconomic space. The Journal of Technology Transfer, 33(1), 105–122.CrossRefGoogle Scholar
  31. Coccia, M. (2009a). What is the optimal rate of R&D investment to maximize productivity growth? Technological Forecasting and Social Change, 76(3), 433–446.CrossRefGoogle Scholar
  32. Coccia, M. (2009b). Measuring the impact of sustainable technological innovation. International Journal of Technology Intelligence and Planning, 5(3), 276–288.CrossRefGoogle Scholar
  33. Coccia, M. (2009c). Research performance and bureaucracy within public research labs. Scientometrics, 79(1), 93–107.CrossRefGoogle Scholar
  34. Coccia, M. (2010a). Public and private R&D investments as complementary inputs for productivity growth. International Journal of Technology, Policy and Management, 10(1/2), 73–91.CrossRefGoogle Scholar
  35. Coccia, M. (2010b). Foresight of technological determinants and primary energy resources of future economic long waves. International Journal of Foresight and Innovation Policy, 6(4), 225–232.CrossRefGoogle Scholar
  36. Coccia, M. (2010c). Energy metrics for driving competitiveness of countries: Energy weakness magnitude, GDP per barrel and barrels per capita. Energy Policy, 38(3), 1330–1339.CrossRefGoogle Scholar
  37. Coccia, M. (2010d). Spatial patterns of technology transfer and measurement of its friction in the geo-economic space. International Journal of Technology Transfer and Commercialisation, 9(3), 255–267.CrossRefGoogle Scholar
  38. Coccia, M. (2011). The interaction between public and private R&D expenditure and national productivity. Prometheus-Critical Studies in Innovation, 29(2), 121–130.CrossRefGoogle Scholar
  39. Coccia, M. (2012a). Political economy of R&D to support the modern competitiveness of nations and determinants of economic optimization and inertia. Technovation, 32(6), 370–379.CrossRefGoogle Scholar
  40. Coccia, M. (2012b). Evolutionary trajectories of the nanotechnology research across worldwide economic players. Technology Analysis & Strategic Management, 24(10), 1029–1050.CrossRefGoogle Scholar
  41. Coccia, M. (2012c). Converging genetics, genomics and nanotechnologies for groundbreaking pathways in biomedicine and nanomedicine. International Journal of Healthcare Technology and Management, 13(4), 184–197.CrossRefGoogle Scholar
  42. Coccia, M. (2013). What are the likely interactions among innovation, government debt, and employment? Innovation: The European Journal of Social Science Research, 26(4), 456–471.Google Scholar
  43. Coccia, M. (2014a). Socio-cultural origins of the patterns of technological innovation: What is the likely interaction among religious culture, religious plurality and innovation? Towards a theory of socio-cultural drivers of the patterns of technological innovation. Technology in Society, 36(1), 13–25.CrossRefGoogle Scholar
  44. Coccia, M. (2014b). Converging scientific fields and new technological paradigms as main drivers of the division of scientific labour in drug discovery process: The effects on strategic management of the R&D corporate change. Technology Analysis & Strategic Management, 26(7), 733–749.CrossRefGoogle Scholar
  45. Coccia, M. (2015). General sources of general purpose technologies in complex societies: Theory of global leadership-driven innovation, warfare and human development. Technology in Society, 42(August), 199–226.CrossRefGoogle Scholar
  46. Coccia, M. (2016a). Asymmetric paths of public debts and of general government deficits across countries within and outside the European monetary unification and economic policy of debt dissolution. The Journal of Economic Asymmetries. doi: 10.1016/j.jeca.2016.10.003.Google Scholar
  47. Coccia, M. (2016b). Sources of technological innovation: Radical and incremental innovation problem-driven to support competitive advantage of firms. Technology Analysis & Strategic Management. doi: 10.1080/09537325.2016.1268682.Google Scholar
  48. Coccia, M. (2016c). Radical innovations as drivers of breakthroughs: Characteristics and properties of the management of technology leading to superior organizational performance in the discovery process of R&D labs. Technology Analysis & Strategic Management, 28(4), 381–395.CrossRefGoogle Scholar
  49. Coccia, M. (2017). The source and nature of general purpose technologies for supporting next K-waves: Global leadership and the case study of the U.S. Navy’s Mobile User Objective System. Technological Forecasting and Social Change, 116(March), 331–339. doi: 10.1016/j.techfore.2016.05.019.CrossRefGoogle Scholar
  50. Coe, D. T., & Helpman, E. (1995). International R & D spillovers. European Economic Review, 39(5), 859–887.CrossRefGoogle Scholar
  51. Coe, D. T., Helpman, E., & Hoffmaister, A. (2009). International R & D spillovers and institutions. European Economic Review, 53(7), 723–741.CrossRefGoogle Scholar
  52. Cuneo, P., & Mairesse, J. (1984). Productivity and R&D at the firm level in French manufacturing. In Z. Griliches (Ed.), R&D, Patents and Productivity (pp. 375–392). Chicago, IL: University of Chicago Press.Google Scholar
  53. Delgado M., Ketels C., Porter M. E., Stern S. (2012). The determinants of National Competitiveness. In NBER working paper no. 18249, July, Cambridge, Massachusetts.Google Scholar
  54. Doraszelski, U., & Jaumandreu, J. (2013). R&D and productivity: estimating endogenous productivity. Review of Economic Studies, 80(3), 1338–1383.CrossRefGoogle Scholar
  55. Geroski, P. A. (1998). An applied econometrician’s view of large company performance. Review of Industrial Organization, 13(3), 271–294.CrossRefGoogle Scholar
  56. Glomm, G., & Ravikumar, B. (1997). Productive government expenditures and long-run growth. Journal of Economic Dynamics and Control, 21(1), 183–204.CrossRefGoogle Scholar
  57. Goel, R. K. (1990). The substitutability of capital, labor, and R&D in US manufacturing. Bulletin of Economic Research, 42(3), 211–227.CrossRefGoogle Scholar
  58. Goel, R. J., Payne, J. E., & Ram, R. (2008). R&D expenditures and U.S. economic growth: A disaggregated approach. Journal of policy modeling, 30(2), 237–250.CrossRefGoogle Scholar
  59. Gómez, M. A. (2007). Optimal tax structure in a two-sector models of endogenous growth. Journal of Macroeconomics, 29(2), 305–325.CrossRefGoogle Scholar
  60. Greenwald, A. G., Leippe, M. R., Pratkanis, A. R., & Baumgardner, M. H. (1986). Under what conditions does theory obstruct research progress? Psychological Review, 93(2), 216–229.CrossRefGoogle Scholar
  61. Griffiths, R., Redding, S., & Van Reenen, J. (2004). Mapping the two faces of R & D: Productivity growth in a panel of OECD industries. Review of Economics and Statistics, 86(4), 883–895.CrossRefGoogle Scholar
  62. Griliches, Z. (1973). Research expenditures and growth accounting. In R. B. Williams (Ed.), Science and Technology in Economic Growth. New York: John Wiley and Sons.Google Scholar
  63. Griliches, Z. (1979). Issues in assessing the contribution of research and development to productivity growth. The Bell Journal of Economics, 10(1), 92–116.CrossRefGoogle Scholar
  64. Griliches, Z. (1995). R&D and productivity: Econometric results and measurement issues. In P. Stoneman (Ed.), Handbook of the Economics of Innovation and Technological Change (pp. 52–89). Oxford: Basil Blackwell.Google Scholar
  65. Griliches, Z. (1998a). R&D and productivity: The econometric evidence. Chicago: University of Chicago.CrossRefGoogle Scholar
  66. Griliches, Z. (1998b). Productivity, R&D, and basic research at the firm level in the1970. In Z. Griliches (Ed.), R&D and productivity: The econometric evidence (pp. 82–99). Chicago: University of Chicago Press.CrossRefGoogle Scholar
  67. Griliches, Z. (2000). R&D, education and productivity: A retrospective. Cambridge, Massachusetts: Harvard University Press.Google Scholar
  68. Griliches, Z., & Lichtenberg, F. R. (1982). R and D and Productivity at the Industry Level: Is There Still a Relationship? In NBER Working Paper no. 850, Cambridge, Massachusetts.Google Scholar
  69. Griliches, Z., & Mairesse, J. (1983). Comparing productivity growth: an exploration of French and U.S. industrial and firm data. European Economic Review, 21(1–2), 89–119.CrossRefGoogle Scholar
  70. Guellec, D., Pottelsberghe, Van, & de la Potterie, B. (2004). From R&D to productivity growth: Do the institutional setting and the sources of funds of R&D matter? Oxford Bulletin of Economics and Statistics, 66(3), 353–378.CrossRefGoogle Scholar
  71. Hall, B. H. (1996). The private and social returns to research and development. In B. L. R. Smith & C. E. Barfield (Eds.), Technology, R&D, and the economy. Washington, D.C: Brookings Institution and American Enterprise Institute.Google Scholar
  72. Hall R. E., Jones C. I., 1996. The productivity of nations. In NBER Working Paper 5812, November, Cambridge, Massachusetts.Google Scholar
  73. Hall, R. E., & Jorgenson, D. W. (1967). Tax policy and investment behavior. American Economic Review, 57(3), 391–414.Google Scholar
  74. Hall, B., & Lerner, J. (2010). The financing of R&D and innovation. In B. H. Hall & N. Rosenberg (Eds.), Handbook of the Economics of Innovation, Chapter 14 (pp. 609–639). Amsterdam: Elsevier.CrossRefGoogle Scholar
  75. Hall, B. H., & Mairesse, J. (1995). Exploring the relationship between R&D and productivity in French manufacturing firms. Journal of Econometrics, 65(1), 263–293.CrossRefGoogle Scholar
  76. Hall, B. H., Mairesse, J., & Mohnen, P. (2010). Measuring the returns to R&D. In B. H. Hall & N. Rosenberg (Eds.), Handbook of the Economics of Innovation (Vol. 2, pp. 1033–1082). Amsterdam: Elsevier.Google Scholar
  77. Hussain, S. M. (2015). The contractionary effects of tax shocks on productivity: An empirical and theoretical analysis. Journal of Macroeconomics, 43(March), 93–107.CrossRefGoogle Scholar
  78. Jones, C. I., & Williams, J. C. (1998). Measuring the social return to R&D. The Quarterly Journal of Economics, 113(4), 1119–1135.CrossRefGoogle Scholar
  79. Kancs d’A., Siliverstovs B. (2012). R&D and non-linear productivity growth of heterogeneous firms, Institute for Prospective Technological Studies (IPTS). In IPTS working paper on corporate R&D and innovation no. 06/2012. European Commission, Joint Research Centre, Seville, Spain.Google Scholar
  80. Kancs d’A., Siliverstovs B. (2015). Employment effect of innovation. In JRC working papers on corporate R&D and innovation, n. 2015-07, European Commission, DG Joint Research Centre, Brussels.Google Scholar
  81. Kealey, T. (1996). The Economic Laws of Scientific Research. London: MacMillan Press.CrossRefGoogle Scholar
  82. Kneller, R., Bleaney, M. F., & Norman, G. (1999). Fiscal policy and growth: evidence from OECD countries. Journal of Public Economics, 74(2), 171–190.CrossRefGoogle Scholar
  83. Krüger, J. J. (2008). The sources of aggregate productivity growth: US manufacturing industries, 1958–1996. Bulletin of Economic Research, 60(4), 405–427.CrossRefGoogle Scholar
  84. Langenmayr, D., Haufler, A., & Bauer, C. J. (2015). Should tax policy favor high- or low-productivity firms? European Economic Review, 73(January), 18–34.CrossRefGoogle Scholar
  85. Lee, Y., & Gordon, R. H. (2005). Tax structure and economic growth. J. Public Econ., 89(5–6), 1027–1043.CrossRefGoogle Scholar
  86. Lichtenberg, F. R. (1984). The relationship between federal contract R&D and company R&D. American Economic Review Papers and Proceedings, 74(2), 73–78.Google Scholar
  87. Lichtenberg, F. R. (1987). The effect of government funding on private industrial research and development: a re-assessment. The Journal of Industrial Economics, 36(1), 97–104.CrossRefGoogle Scholar
  88. Lichtenberg F. R. 1992. R&D Investment and International Productivity Differences. In NBER working paper no. 4161, Cambridge, Massachusetts.Google Scholar
  89. Lichtenberg, F. R., & Siegel, D. (1991). The impact of R&D investment on productivity. New evidence using linked R&D-LRD Data. Economic Inquiry, 29(2), 203–229.CrossRefGoogle Scholar
  90. Link, A. N. (1981a). Basic research and productivity increase in manufacturing: Additional evidence. The American Economic Review, 71(5), 1111–1112.Google Scholar
  91. Link, A. N. (1981b). Research and Development Activity in U.S. Manufacturing. New York: Praeger.Google Scholar
  92. Link, A. N. (1982). An analysis of the composition of R&D spending. Southern Economic Journal, 49(2), 342–349.CrossRefGoogle Scholar
  93. Link, A. N. (1987). Technological change and productivity growth. London: Harwood Academic Publishers.Google Scholar
  94. Mairesse, J., & Sassenou, M. (1991). R&D and productivity: a survey of econometric studies at the firm level. Science Technology and Industry Review, 8(April), 9–45.Google Scholar
  95. Mansfield, E. (1980). Basic research and productivity increase in manufacturing. The American Economic Review, 70(5), 863–873.Google Scholar
  96. Marrero, G. A. (2010). Tax-mix, public spending composition and growth. Journal of Economics, 99(1), 29–51.CrossRefGoogle Scholar
  97. Mukherjee, A., Singh, M., & Zaldokas, A. (2017). Do corporate taxes hinder innovation? Journal of Financial Economics. doi: 10.1016/j.jfineco.2017.01.004.Google Scholar
  98. OECD. (2016a). https://data.oecd.org/. Accessed 9 September.
  99. OECD. (2016b). https://data.oecd.org/government.htm#profile-Tax. Accessed 18 October.
  100. OECD (2016c). https://data.oecd.org/lprdty/gdp-per-hour-worked.htm. Accessed 18 October.
  101. Rao, N. (2016). Do tax credits stimulate R&D spending? The effect of the R&D tax credit in its first decade. Journal of Public Economics, 140(August), 1–12.CrossRefGoogle Scholar
  102. Rolfo, S., & Coccia, M. (2005). L’interazione tra ricerca pubblica e industria in Italia. L'industria-Rivista di Economia e Politica Industriale, 26(4), 657–674. doi: 10.1430/21151.Google Scholar
  103. Siegel, D. (1997). The impact of computers on manufacturing productivity growth: A multiple-indicators, multiple-causes approach. The Review of Economics and Statistics, 79(1), 68–78.CrossRefGoogle Scholar
  104. Siegel D., Griliches Z. 1991. Purchased Services, Outsourcing, Computers, and Productivity in Manufacturing, NBER Working Paper no. 3678, Cambridge, Massachusetts.Google Scholar
  105. Steil, B., Victor, D. G., Nelson, R. R. (Eds). (2002). Technological innovation and economic performance. Princeton: Princeton University Press.Google Scholar
  106. Stern S., Porter M. E., Furman J. L. (2000). The determinants of national innovative capacity. NBER Working Paper no. 7876, September, Cambridge, Massachusetts.Google Scholar
  107. Stiroh, K. J. (2001). What drives productivity growth? Federal Reserve Bank of New York-Economic Policy Review, 7(1), 37–59.Google Scholar
  108. Summers, L. H. (1988). Tax policy and international competitiveness. In J. A. Frenkel (Ed.), International Aspects of Fiscal Policies (pp. 349–386). Chicago: University of Chicago Press.Google Scholar
  109. Syverson, C. (2011). What determines productivity? Journal of Economic Literature, 49(2), 326–365.CrossRefGoogle Scholar
  110. Terleckyj N. E. (1974). Effects of R&D on the productivity growth of industries: an exploratory study. Report-National Planning Association n. 140, Washington D.C.Google Scholar
  111. Verspagen, B. (1995). R&D and productivity: a broad cross-section cross-country look. Journal of Productivity Analysis, 6(2), 117–135.CrossRefGoogle Scholar
  112. Zachariadis, M. (2004). R&D-induced Growth in the OECD? Review of Development Economics, 8(3), 423–439.CrossRefGoogle Scholar
  113. Zhang, L., Ru, Y., & Li, J. (2016). Optimal tax structure and public expenditure composition in a simple model of endogenous growth. Economic Modelling, 59(December), 352–360.CrossRefGoogle Scholar

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© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.Center for Social Dynamics and Complexity (CSDC)Arizona State UniversityTempeUSA
  2. 2.CNR – National Research Council of ItalyMoncalieriItaly

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