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The productivity impact of R&D investment: are high-tech sectors still ahead?

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  1. Sasso, Simone & Ritzen, Jo, 2016. "Sectoral Cognitive Skills, R&D, and Productivity: A Cross-Country Cross-Sector Analysis," IZA Discussion Papers 10457, Institute of Labor Economics (IZA).
  2. Morikawa, Masayuki, 2019. "Innovation in the service sector and the role of patents and trade secrets: Evidence from Japanese firms," Journal of the Japanese and International Economies, Elsevier, vol. 51(C), pages 43-51.
  3. Yvonne McNulty & Chris Brewster, 2016. "Theorizing the Meaning(s) of 'Expatriate': Establishing Boundary Conditions," John H Dunning Centre for International Business Discussion Papers jhd-dp2016-05, Henley Business School, University of Reading.
  4. Mariacristina Piva & Massimiliano Tani & Marco Vivarelli, 2023. "The productivity impact of short-term labor mobility across industries," Small Business Economics, Springer, vol. 60(2), pages 691-705, February.
  5. Ugur, Mehment & Vivarelli, Marco, 2020. "The role of innovation in industrial dynamics and productivity growth: a survey of the literature," GLO Discussion Paper Series 648, Global Labor Organization (GLO).
  6. Davide Castellani & Mariacristina Piva & Torben Schubert & Marco Vivarelli, 2018. "The source of the US /EU Productivity Gap:Less and less effective R&D," LEM Papers Series 2018/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  7. Jaan Masso & Amaresh K Tiwari, 2021. "Productivity Implications Of R&D, Innovation And Capital Accumulation For Incumbents And Entrants: The Case Of Estonia," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 130, Faculty of Economics and Business Administration, University of Tartu (Estonia).
  8. Masso, Jaan & Tiwari, Amaresh K., 2024. "Productivity impacts of R&D and non-R&D modes of technological change for incumbents and entrants in a catching-up economy," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  9. Prakash, Navendu & Singh, Shveta & Sharma, Seema, 2021. "Technological diffusion, banking efficiency and Solow's paradox: A frontier-based parametric and non-parametric analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 534-551.
  10. Agata Sudolska & Justyna Łapińska, 2020. "Exploring Determinants of Innovation Capability in Manufacturing Companies Operating in Poland," Sustainability, MDPI, vol. 12(17), pages 1-21, August.
  11. Mehmet Ugur & Marco Vivarelli, 2021. "Innovation, firm survival and productivity: the state of the art," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 30(5), pages 433-467, July.
  12. Mariacristina Piva & Massimiliano Tani & Marco Vivarelli, 2018. "Business visits, knowledge diffusion and productivity," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(4), pages 1321-1338, October.
  13. Saša Petković & Jelica Rastoka & Dragana Radicic, 2023. "Impact of Innovation and Exports on Productivity: Are There Complementary Effects?," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
  14. Pietro Moncada-Paternò-Castello & Sara Amoroso & Michele Cincera, 0. "Corporate R&D intensity decomposition: different data, different results?," Science and Public Policy, Oxford University Press, vol. 47(4), pages 458-473.
  15. Claudia Pigini & Alessandro Sterlacchini & Francesco Valentini, 2023. "Persistence Of R&D Intensities In The World'S Top Investors In R&D," Working Papers 480, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  16. Başak Dalgıç & Burcu Fazlıoğlu, 2021. "Innovation and firm growth: Turkish manufacturing and services SMEs," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 395-419, September.
  17. Piva, Mariacristina & Tani, Massimiliano & Vivarelli, Marco, 2017. "Labour mobility through business visits as a way to foster productivity," MERIT Working Papers 2017-004, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  18. Castellani, Davide & Piva, Mariacristina & Schubert, Torben & Vivarelli, Marco, 2019. "R&D and productivity in the US and the EU: Sectoral specificities and differences in the crisis," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 279-291.
  19. Zuzana Smeets Kristkova & Cornelis Gardebroek & Michiel van Dijk & Hans van Meijl, 2017. "The impact of R&D on factor-augmenting technical change – an empirical assessment at the sector level," Economic Systems Research, Taylor & Francis Journals, vol. 29(3), pages 385-417, July.
  20. Pietro Moncada-Paternò-Castello & Nicola Grassano, 2022. "The EU vs US corporate R&D intensity gap: investigating key sectors and firms [A primer on innovation and growth]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 19-38.
  21. Castellani, Davide & Piva, Mariacristina & Schubert, Torben & Vivarelli, Marco, 2016. "The Productivity Impact of R&D Investment: A Comparison between the EU and the US," IZA Discussion Papers 9937, Institute of Labor Economics (IZA).
  22. Banholzer, Nicolas & Behrens, Vanessa & Feuerriegel, Stefan & Heinrich, Sebastian & Rammer, Christian & Schmoch, Ulrich & Seliger, Florian & Wörter, Martin, 2019. "Knowledge spillovers from product and process inventions in patents and their impact on firm performance. End report," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 222367.
  23. Schubert, Torben & Jäger, Angela & Türkeli, Serdar & Visentin, Fabiana, 2020. "Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model," MERIT Working Papers 2020-050, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  24. Piva, Mariacristina & Tani, Massimiliano & Vivarelli, Marco, 2017. "The Productivity Impact of Business Mobility: International Evidence," GLO Discussion Paper Series 14, Global Labor Organization (GLO).
  25. Ryota Nakatani, 2024. "Multifactor productivity growth enhancers across industries and countries: firm-level evidence," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 14(2), pages 401-446, June.
  26. Mehmet Ugur & Marco Vivarelli, 2020. "Technology, industrial dynamics and productivity: a critical survey," DISCE - Quaderni del Dipartimento di Politica Economica dipe0011, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  27. Feng, Ping & Ke, Shanzi, 2016. "Self-selection and performance of R&D input of heterogeneous firms: Evidence from China's manufacturing industries," China Economic Review, Elsevier, vol. 41(C), pages 181-195.
  28. Stucki, Tobias & Woerter, Martin, 2019. "The private returns to knowledge: A comparison of ICT, biotechnologies, nanotechnologies, and green technologies," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 62-81.
  29. Graziella Bonanno & Annalisa Ferrando & Stefania Patrizia Sonia Rossi, 2023. "Do innovation and financial constraints affect the profit efficiency of European enterprises?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 57-86, March.
  30. Cristiano Antonelli & Gianluca Orsatti & Guido Pialli, 2023. "The knowledge-intensive direction of technological change," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 1-27, March.
  31. Jaan Masso & Amaresh K Tiwari, 2022. "Productivity Implications of R&D, Innovation, and Capital Accumulation for Incumbents and Entrants: Perspectives from a Catching-up Economy," Papers 2205.10540, arXiv.org.
  32. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
  33. Adil Haniev, 2024. "Intangible Assets and US Stock Returns: An analysis using the Index Method, Panel Regression, and Machine Learning," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 23(3), pages 833-854.
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