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A measure of total factor productivity with biased technological change

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  • Christophe Feder

Abstract

The paper presents a new measure of total factor productivity (TFP) that also takes into account the effect of biased technological change. With this methodology, we can distinguish the effects resulting from the introduction of neutral or biased technological change on TFP, called neutral factor productivity and biased factor productivity (BFP), respectively. The new measure of TFP also holds in extreme cases where only the effect of neutral/biased technological change is presented. In particular, the BFP component increases (decreases) when the productivity of the cheaper (more expensive) factor increases. Moreover, the TFP holds up to the modification of both units of measure and to the costs of factors. Finally, the intensity of the BFP is independent of the direction of the technological change.

Suggested Citation

  • Christophe Feder, 2018. "A measure of total factor productivity with biased technological change," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(3), pages 243-253, April.
    • Handle: RePEc:taf:ecinnt:v:27:y:2018:i:3:p:243-253
    DOI: 10.1080/10438599.2017.1329697
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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. Cristiano Antonelli & Christophe Feder, 2021. "Knowledge appropriability and directed technological change: the Schumpeterian creative response in global markets," The Journal of Technology Transfer, Springer, vol. 46(3), pages 686-700, June.
    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. Qizheng Gao & Jianqing Zhang & Guo Chen, 2023. "Firm heterogeneity, biased technological change, and total factor productivity: Evidence from China," Journal of Productivity Analysis, Springer, vol. 60(2), pages 147-177, October.
    5. Juan Qian & Ruibing Ji, 2022. "Impact of Energy-Biased Technological Progress on Inclusive Green Growth," Sustainability, MDPI, vol. 14(23), pages 1-24, December.
    6. 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.
    7. 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.
    8. Cristiano, Antonelli, 2019. "The creative response and international trade11The comments of the anonymous referees and the editor are gratefully acknowledged. The funding of my Department are acknowledged," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 445-452.
    9. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.
    10. Zhen, Wang & Xin-gang, Zhao & Ying, Zhou, 2021. "Biased technological progress and total factor productivity growth: From the perspective of China's renewable energy industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).

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