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The effects of disruptive innovations on productivity

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  • Feder, Christophe

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  • Feder, Christophe, 2018. "The effects of disruptive innovations on productivity," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 186-193.
    • Handle: RePEc:eee:tefoso:v:126:y:2018:i:c:p:186-193
    DOI: 10.1016/j.techfore.2017.05.009
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    1. Feder, Christophe & Kataishi, Rodrigo Ezequiel, 2017. "Decentralization in Heterogeneous Regions: A Biased Technological Change Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201703, University of Turin.
    2. Tsekouras, Kostas D. & Pantzios, Christos J. & Karagiannis, Giannis, 2004. "Malmquist productivity index estimation with zero-value variables: The case of Greek prefectural training councils," International Journal of Production Economics, Elsevier, vol. 89(1), pages 95-106, May.
    3. Cristiano Antonelli & Giuseppe Scellato, 2015. "Firms size and directed technological change," Small Business Economics, Springer, vol. 44(1), pages 207-218, January.
    4. Hernando Zuleta, 2008. "Factor Saving Innovations and Factor Income Shares," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 11(4), pages 836-851, October.
    5. Daron Acemoglu, 1998. "Why Do New Technologies Complement Skills? Directed Technical Change and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1055-1089.
    6. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    7. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    8. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    9. Hernando Zuleta, 2015. "Getting Growth Accounting Right," Documentos CEDE 13814, Universidad de los Andes, Facultad de Economía, CEDE.
    10. Bernard, Andrew B & Jones, Charles I, 1996. "Comparing Apples to Oranges: Productivity Convergence and Measurement across Industries and Countries," American Economic Review, American Economic Association, vol. 86(5), pages 1216-1238, December.
    11. Antonelli, Cristiano, 2016. "Technological congruence and the economic complexity of technological change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 15-24.
    12. Llorca, Manuel & Orea, Luis & Pollitt, Michael G., 2014. "Using the latent class approach to cluster firms in benchmarking: An application to the US electricity transmission industry," Operations Research Perspectives, Elsevier, vol. 1(1), pages 6-17.
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    14. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    15. Antonelli, Cristiano, 2006. "Localized technological change and factor markets: constraints and inducements to innovation," Structural Change and Economic Dynamics, Elsevier, vol. 17(2), pages 224-247, June.
    16. D. W. Jorgenson & Z. Griliches, 1967. "The Explanation of Productivity Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 34(3), pages 249-283.
    17. Jorge Galán & Helena Veiga & Michael Wiper, 2014. "Bayesian estimation of inefficiency heterogeneity in stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 42(1), pages 85-101, August.
    18. Cristiano Antonelli & Francesco Quatraro, 2014. "The effects of biased technological changes on total factor productivity: a rejoinder and new empirical evidence," The Journal of Technology Transfer, Springer, vol. 39(2), pages 281-299, April.
    19. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    20. Momeni, Abdolreza & Rost, Katja, 2016. "Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 16-29.
    21. Luis Alberiko Gil-Alana & Carlos Barros & Dercio Mandlaze, 2017. "A performance assessment of Mozambique banks: a Bayesian stochastic frontier," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4579-4587, September.
    22. Ron Adner & Peter Zemsky, 2005. "Disruptive Technologies and the Emergence of Competition," RAND Journal of Economics, The RAND Corporation, vol. 36(2), pages 229-254, Summer.
    23. Ketteni, Elena & Mamuneas, Theofanis & Stengos, Thanasis, 2011. "The Effect Of Information Technology And Human Capital On Economic Growth," Macroeconomic Dynamics, Cambridge University Press, vol. 15(5), pages 595-615, November.
    24. Kounetas, Konstantinos & Mourtos, Ioannis & Tsekouras, Konstantinos, 2009. "Efficiency decompositions for heterogeneous technologies," European Journal of Operational Research, Elsevier, vol. 199(1), pages 209-218, November.
    25. Tsekouras, Kostas & Chatzistamoulou, Nikos & Kounetas, Kostas & Broadstock, David C., 2016. "Spillovers, path dependence and the productive performance of European transportation sectors in the presence of technology heterogeneity," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 261-274.
    26. Moses Abramovitz, 1956. "Resource and Output Trends in the United States since 1870," NBER Books, National Bureau of Economic Research, Inc, number abra56-1.
    27. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    28. Massimo Colombo & Chiara Franzoni & Reinhilde Veugelers, 2015. "Going radical: producing and transferring disruptive innovation," The Journal of Technology Transfer, Springer, vol. 40(4), pages 663-669, August.
    29. Moses Abramovitz, 1956. "Resource and Output Trends in the United States since 1870," NBER Chapters, in: Resource and Output Trends in the United States since 1870, pages 1-23, National Bureau of Economic Research, Inc.
    30. Zuleta, Hernando, 2012. "Variable factor shares, measurement and growth accounting," Economics Letters, Elsevier, vol. 114(1), pages 91-93.
    31. Erik Brynjolfsson & Lorin Hitt, 1996. "Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending," Management Science, INFORMS, vol. 42(4), pages 541-558, April.
    32. Strohmaier, R. & Rainer, A., 2016. "Studying general purpose technologies in a multi-sector framework: The case of ICT in Denmark," Structural Change and Economic Dynamics, Elsevier, vol. 36(C), pages 34-49.
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    Cited by:

    1. Christophe Feder, 2018. "Smart Specialization Strategy and Directed Technological Change," Economics Bulletin, AccessEcon, vol. 38(3), pages 1428-1437.
    2. Lai, Kuei-Kuei & Bhatt, Priyanka C. & Kumar, Vimal & Chen, Hsueh-Chen & Chang, Yu-Hsin & Su, Fang-Pei, 2021. "Identifying the impact of patent family on the patent trajectory: A case of thin film solar cells technological trajectories," Journal of Informetrics, Elsevier, vol. 15(2).
    3. Antonelli, Cristiano & Feder, Christophe & Quatraro, Francesco, 2018. "Directed Technological Change and Technological Congruence: A New Framework for the Smart Specialization Strategy," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201805, University of Turin.
    4. Benzidia, Smaïl & Luca, Ruxandra Monica & Boiko, Sergiy, 2021. "Disruptive innovation, business models, and encroachment strategies: Buyer's perspective on electric and hybrid vehicle technology," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    5. Xu, Aiting & Qiu, Keyang & Jin, Canyang & Cheng, Caijuan & Zhu, Yuhan, 2022. "Regional innovation ability and its inequality: Measurements and dynamic decomposition," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    6. Seenaiah Kale & Badri Narayan Rath, 2018. "Does Innovation Enhance Productivity In Case Of Selected Indian Manufacturing Firms?," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(05), pages 1225-1250, November.
    7. Cahyono, Edi Dwi, 2023. "Instagram adoption for local food transactions: A research framework," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    8. Antonelli, Cristiano & Tubiana, Matteo, 2023. "The rate and direction of technological change and wealth and income inequalities in advanced countries," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    9. Cristiano Antonelli & Christophe Feder, 2020. "Total factor productivity, catch-up and technological congruence in Italy, 1861–2010," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 1171-1194, September.
    10. Antonelli, Cristiano & Scellato, Giuseppe, 2019. "Wage inequality and directed technological change: Implications for income distribution," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 59-65.
    11. Su, Chi-Wei & Yuan, Xi & Umar, Muhammad & Lobonţ, Oana-Ramona, 2022. "Does technological innovation bring destruction or creation to the labor market?," Technology in Society, Elsevier, vol. 68(C).
    12. Guo, Jianfeng & Pan, Jiaofeng & Guo, Jianxin & Gu, Fu & Kuusisto, Jari, 2019. "Measurement framework for assessing disruptive innovations," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 250-265.

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