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Biased technological progress and total factor productivity growth: From the perspective of China's renewable energy industry

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  • Zhen, Wang
  • Xin-gang, Zhao
  • Ying, Zhou

Abstract

With the decline in the intensity of subsidy policies, technological progress has become a critical factor in promoting the renewable energy industry's sustainable development. This paper estimates the direction and extent of biased technological progress in China's renewable energy industry from 2009 to 2018. On this basis, by constructing an accounting model for the growth rate of total factor productivity (TFP), this paper empirically analyzes the effects of different factors on TFP growth. The research results indicate that: (1) The TFP of China's renewable energy industry has dropped by 4.60% annually, and the growth of industrial output mainly relied on factor input rather than technological progress. (2) The technological progress and factor allocation of China's renewable energy industry generally show a bias towards the capital. At different stages of the industry's development, it presents different degrees of bias. (3) Technological progress is biased towards capital factor with a lower growth rate of factor efficiency, which hinders the growth of TFP in the renewable energy industry.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:rensus:v:146:y:2021:i:c:s136403212100424x
    DOI: 10.1016/j.rser.2021.111136
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    as
    1. Lin, Boqiang & Chen, Yufang, 2019. "Does electricity price matter for innovation in renewable energy technologies in China?," Energy Economics, Elsevier, vol. 78(C), pages 259-266.
    2. Ulrich Doraszelski & Jordi Jaumandreu, 2018. "Measuring the Bias of Technological Change," Journal of Political Economy, University of Chicago Press, vol. 126(3), pages 1027-1084.
    3. Daron Acemoglu & Philippe Aghion & Fabrizio Zilibotti, 2006. "Distance to Frontier, Selection, and Economic Growth," Journal of the European Economic Association, MIT Press, vol. 4(1), pages 37-74, March.
    4. Liu, Wenfeng & Zhang, Xingping & Feng, Sida, 2019. "Does renewable energy policy work? Evidence from a panel data analysis," Renewable Energy, Elsevier, vol. 135(C), pages 635-642.
    5. Cristiano Antonelli & Francesco Quatraro, 2010. "The effects of biased technological change on total factor productivity: empirical evidence from a sample of OECD countries," The Journal of Technology Transfer, Springer, vol. 35(4), pages 361-383, August.
    6. Ming, Zeng & Ximei, Liu & Yulong, Li & Lilin, Peng, 2014. "Review of renewable energy investment and financing in China: Status, mode, issues and countermeasures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 23-37.
    7. Daron Acemoglu, 2002. "Directed Technical Change," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(4), pages 781-809.
    8. Zhang, Sufang & Andrews-Speed, Philip & Zhao, Xiaoli & He, Yongxiu, 2013. "Interactions between renewable energy policy and renewable energy industrial policy: A critical analysis of China's policy approach to renewable energies," Energy Policy, Elsevier, vol. 62(C), pages 342-353.
    9. Olivier de La Grandville & Rainer Klump, 2000. "Economic Growth and the Elasticity of Substitution: Two Theorems and Some Suggestions," American Economic Review, American Economic Association, vol. 90(1), pages 282-291, March.
    10. Rainer Klump & Peter McAdam & Alpo Willman, 2012. "The Normalized Ces Production Function: Theory And Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 26(5), pages 769-799, December.
    11. Edward K.Y. Chen, 1997. "The Total Factor Productivity Debate: Determinants of Economic Growth in East Asia," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 11(1), pages 18-38, May.
    12. Antonelli, Cristiano, 2016. "Technological congruence and the economic complexity of technological change," Structural Change and Economic Dynamics, Elsevier, vol. 38(C), pages 15-24.
    13. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
    14. Miguel A. León-Ledesma & Peter McAdam & Alpo Willman, 2010. "Identifying the Elasticity of Substitution with Biased Technical Change," American Economic Review, American Economic Association, vol. 100(4), pages 1330-1357, September.
    15. Fang, Kai & Zhou, Yunheng & Wang, Shuang & Ye, Ruike & Guo, Sujian, 2018. "Assessing national renewable energy competitiveness of the G20: A revised Porter's Diamond Model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 719-731.
    16. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    17. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 183-192, February.
    18. Mallick, Debdulal, 2012. "The role of the elasticity of substitution in economic growth: A cross-country investigation," Labour Economics, Elsevier, vol. 19(5), pages 682-694.
    19. 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.
    20. Böhringer, Christoph & Keller, Andreas & van der Werf, Edwin, 2013. "Are green hopes too rosy? Employment and welfare impacts of renewable energy promotion," Energy Economics, Elsevier, vol. 36(C), pages 277-285.
    21. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, September.
    Full references (including those not matched with items on IDEAS)

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