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Measuring the returns of R&D--An empirical study of the German manufacturing sector over 45 years

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  • Lang, Guenter

Abstract

Motivated by recent statistics that show significant growth in labor productivity, this paper seeks to analyze the long-term relationship between domestic R&D, knowledge stock and productivity dynamics. Time series data of the German manufacturing industry is used to estimate a variable cost function with the stock of knowledge being dependent upon current and past R&D spending. The estimates indicate that 50% of the effects of R&D on the knowledge stock appear within 4 years. However, the rate of return on R&D are shown to be drastically declining; recent rates of return on R&D are estimated to have reached an all-time low spanning the last 45 years. Current yields of R&D are only one third compared to the sixties. In conclusion, though the productivity slowdown of the seventies seems to have been overcome, this is not attributed to R&D investments.

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  • Lang, Guenter, 2009. "Measuring the returns of R&D--An empirical study of the German manufacturing sector over 45 years," Research Policy, Elsevier, vol. 38(9), pages 1438-1445, November.
  • Handle: RePEc:eee:respol:v:38:y:2009:i:9:p:1438-1445
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    5. Elias Carayannis & Vivienne Wang, 2012. "Competitiveness Model—A Double Diamond," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(3), pages 280-293, September.
    6. Ge Zehui & Ren Zhengkun & Hu Qiying & Jia Yiheng, 2021. "A Bounded Commitment in Vertical Collaborations of New Product Development," Journal of Systems Science and Information, De Gruyter, vol. 9(2), pages 154-174, April.
    7. Chiara F. DEL BO, 2014. "The rate of return to investment in R&D infrastructure: an overview," Departmental Working Papers 2014-11, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    8. Becker, Lasse, 2015. "Effectiveness of public innovation support in Europe: Does public support foster turnover, employment and labour productivity?," University of Göttingen Working Papers in Economics 236, University of Goettingen, Department of Economics.
    9. Ronia Hawash & Guenter Lang, 2010. "The Impact of Information Technology on Productivity in Developing Countries," Working Papers 19, The German University in Cairo, Faculty of Management Technology.
    10. Sajid Anwar & Sizhong Sun, 2014. "Entry of foreign firms and the R&D behaviour: a panel data study of domestic and foreign firms in China's manufacturing sector," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(8), pages 739-757, November.
    11. Iris Claus & Les Oxley & Peilei Fan, 2014. "Innovation In China," Journal of Economic Surveys, Wiley Blackwell, vol. 28(4), pages 725-745, September.
    12. Lin, Jun-You, 2014. "Effects on diversity of R&D sources and human capital on industrial performance," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 168-184.
    13. Driver, Ciaran & Guedes, Maria João Coelho, 2012. "Research and development, cash flow, agency and governance: UK large companies," Research Policy, Elsevier, vol. 41(9), pages 1565-1577.
    14. Ge, Zehui & Hu, Qiying & Goh, Chon-Huat & Zhao, Rui, 2021. "Action-dependent commitment in vertical collaborations: The effect of demand-creating innovations in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    15. Emara, Noha & Zhang, Yuanhao, 2021. "The non-linear impact of digitization on remittances inflow: Evidence from the BRICS," Telecommunications Policy, Elsevier, vol. 45(4).
    16. Jian Li & Kunrong Shen & Ru Zhang, 2011. "Measuring Knowledge Spillovers: A Non-appropriable Returns Perspective," Annals of Economics and Finance, Society for AEF, vol. 12(2), pages 265-293, November.
    17. Mariana Mazzucato & Stuart Parris, 2015. "High-growth firms in changing competitive environments: the US pharmaceutical industry (1963 to 2002)," Small Business Economics, Springer, vol. 44(1), pages 145-170, January.
    18. Becker, Lasse & Bizer, Kilian, 2015. "Federalism and innovation support for small and medium-sized enterprises: Empirical evidence in Europe," University of Göttingen Working Papers in Economics 245, University of Goettingen, Department of Economics.
    19. Andrea Bonaccorsi & Cinzia Daraio, 2013. "Knowledge spillover effects at the sub-regional level. Theory and estimation," DIAG Technical Reports 2013-13, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    20. Wong, Chan-Yuan & Goh, Kim-Leng, 2012. "The sustainability of functionality development of science and technology: Papers and patents of emerging economies," Journal of Informetrics, Elsevier, vol. 6(1), pages 55-65.
    21. Barbero, Javier & Zabala-Iturriagagoitia, Jon Mikel & Zofío, José L., 2021. "Is more always better? On the relevance of decreasing returns to scale on innovation," Technovation, Elsevier, vol. 107(C).
    22. Naudé, Wim & Nagler, Paula, 2021. "The Rise and Fall of German Innovation," IZA Discussion Papers 14154, Institute of Labor Economics (IZA).

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