IDEAS home Printed from https://ideas.repec.org/r/eee/respol/v47y2018i9p1842-1852.html
   My bibliography  Save this item

Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Ján Huòady & Peter Pisár, 2021. "Innovation and invention in the EU business sector: the role of the R&D expenditures," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(2), pages 168-188.
  2. Hunady, Jan & Pisar, Peter, 2020. "Business Spending on Research and Development and its Relationship to Invention and Innovation," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020, pages 542-552, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
  3. Shahnazi, Rouhollah, 2021. "Do information and communications technology spillovers affect labor productivity?," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 342-359.
  4. Julian Duran & Rubén Castillo, 2023. "Factors related to information and communication technologies adoption in small businesses in Colombia," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-14, December.
  5. Xiuying Ma & Fei Jia & Hong Jiang & Xiangyun Xu, 2022. "The Impact of Non-R&D Intangible Capital on TFP Growth: Evidence from Multi-country Industry Level Data," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2890-2910, December.
  6. Saia, Artjom, 2023. "Digitalization and CO2 emissions: Dynamics under R&D and technology innovation regimes," Technology in Society, Elsevier, vol. 74(C).
  7. Natália Barbosa & Ana Paula faria, 2022. "Digital adoption and productivity: understanding micro drivers of the aggregate effect," GEE Papers 0162, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jun 2022.
  8. Elstner, Steffen & Grimme, Christian & Kecht, Valentin & Lehmann, Robert, 2022. "The diffusion of technological progress in ICT," European Economic Review, Elsevier, vol. 149(C).
  9. George Kapetanios & Laura Serlenga & Yongcheol Shin, 2023. "Testing for correlation between the regressors and factor loadings in heterogeneous panels with interactive effects," Empirical Economics, Springer, vol. 64(6), pages 2611-2659, June.
  10. Zhang, Wei & Zhang, Ting & Li, Hangyu & Zhang, Han, 2022. "Dynamic spillover capacity of R&D and digital investments in China's manufacturing industry under long-term technological progress based on the industry chain perspective," Technology in Society, Elsevier, vol. 71(C).
  11. Liu, Liang & Yang, Kun & Fujii, Hidemichi & Liu, Jun, 2021. "Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 276-293.
  12. Ján Huòady & Peter Pisár, 2021. "Innovation and invention in the EU business sector: the role of the R&D expenditures," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(2), pages 168-188.
  13. A. Fronzetti Colladon & B. Guardabascio & F. Venturini, 2023. "A new mapping of technological interdependence," Papers 2308.00014, arXiv.org, revised Mar 2024.
  14. AFAWUBO, Komivi & NOGLO, Yawo Agbényégan, 2022. "ICT and entrepreneurship: A comparative analysis of developing, emerging and developed countries," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  15. Nemlioglu, Ilayda & Mallick, Sushanta K., 2020. "Do innovation-intensive firms mitigate their valuation uncertainty during bad times?," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 913-940.
  16. Barbieri, Paolo & Boffelli, Albachiara & Elia, Stefano & Fratocchi, Luciano & Kalchschmidt, Matteo, 2022. "How does Industry 4.0 affect international exposure? The interplay between firm innovation and home-country policies in post-offshoring relocation decisions," International Business Review, Elsevier, vol. 31(4).
  17. Rouven E. Haschka & Helmut Herwartz, 2022. "Endogeneity in pharmaceutical knowledge generation: An instrument‐free copula approach for Poisson frontier models," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 942-960, November.
  18. Haschka, Rouven E. & Herwartz, Helmut, 2020. "Innovation efficiency in European high-tech industries: Evidence from a Bayesian stochastic frontier approach," Research Policy, Elsevier, vol. 49(8).
  19. Marco Capasso & Michael Spjelkavik Mark, 2021. "The Evolving Economic Employment of ICT Education: The Case of Norway," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
  20. Su, Zhongfeng & Wang, Chenfeng & Peng, Mike W., 2022. "Intellectual property rights protection and total factor productivity," International Business Review, Elsevier, vol. 31(3).
  21. Mary O’Mahony & Michela Vecchi & Francesco Venturini, 2021. "Capital Heterogeneity and the Decline of the Labour Share," Economica, London School of Economics and Political Science, vol. 88(350), pages 271-296, April.
  22. Pedersen, Torben & Scedrova, Anna & Grecu, Alina, 2022. "The effects of IT investments and skilled labor on firms’ value added," Technovation, Elsevier, vol. 116(C).
  23. Shikuan Zhao & Wen Tian & Abd Alwahed Dagestani, 2022. "How do R&D factors affect total factor productivity: based on stochastic frontier analysis method," Economic Analysis Letters, Anser Press, vol. 1(2), pages 28-34, December.
  24. Dorgyles C. M. Kouakou, 2023. "Competing against ‘invisibles’: the effect of competition from informal firms on formal firms’ R&D," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(1), pages 87-117, March.
  25. Lei Wang & Shibo Liu & Wanfang Xiong, 2022. "The Impact of Digital Transformation on Corporate Environment Performance: Evidence from China," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
  26. Liu, Jun & Liu, Liang & Qian, Yu & Song, Shunfeng, 2022. "The effect of artificial intelligence on carbon intensity: Evidence from China's industrial sector," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
  27. Huňady, Ján & Pisar, Peter & Durcekova, Ina, 2019. "Business R&D Expenditure in the ICT Sector: Effects on Business Performance Indicators," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019, pages 519-530, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
  28. Igna, Ioana A. & Rincon-Aznar, Ana & Venturini, Francesco, 2019. "Upstream regulation, factor demand and productivity: Cross-industry differences in OECD countries, 1975–2007," Information Economics and Policy, Elsevier, vol. 49(C).
  29. Chatzistamoulou, Nikos & Kounetas, Kostas & Tsekouras, Kostas, 2022. "Technological hierarchies and learning: Spillovers, complexity, relatedness, and the moderating role of absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  30. Parteka, Aleksandra & Kordalska, Aleksandra, 2023. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," Technovation, Elsevier, vol. 125(C).
  31. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
  32. Marek Pekarčík & Júlia Ďurčová & Jozef Glova, 2022. "Intangible ICT and Their Importance within Global Value Chains: An Empirical Analysis Based on Longitudinal Data Regression," Mathematics, MDPI, vol. 10(7), pages 1-14, April.
  33. Qingyang Wu, 2023. "Sustainable growth through industrial robot diffusion: Quasi‐experimental evidence from a Bartik shift‐share design," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1107-1133, October.
  34. Khanna, Rupika & Sharma, Chandan, 2021. "Do technological investments promote manufacturing productivity? A firm-level analysis for India," Economic Modelling, Elsevier, vol. 105(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.