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Market and Non-market Policies for Renewable Energy Diffusion: A Unifying Framework and Empirical Evidence from Chinas Wind Power Sector

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  • Yang Liu and Taoyuan Wei

Abstract

We provide a comprehensive framework of analyzing the diffusion process of renewable technology, incorporating epidemic and pecuniary effects. Relying on a panel dataset consisting of information from 1207 CDM wind projects in thirty provinces over the period 2004-2011, we find strong evidence on the dominant role of the epidemic effect and new evidence on pecuniary effects that generate a diminishing marginal effect of profitability in inducing technology adoption. Our numerical simulation demonstrates that the epidemic effect can play a quantitatively important role in the spread of renewable energy technology and markedly enhance the optimal social welfare. Our findings convey important policy implications for regulators when choosing policy instruments to enhance the diffusion and adoption of clean technology. Price instruments should be complemented by a wide range of non-market instruments to address non-market barriers. Policy interventions should be taken using a systemic approach.

Suggested Citation

  • Yang Liu and Taoyuan Wei, 2016. "Market and Non-market Policies for Renewable Energy Diffusion: A Unifying Framework and Empirical Evidence from Chinas Wind Power Sector," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
  • Handle: RePEc:aen:journl:ej37-si1-liu
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    1. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    2. Jennifer F. Reinganum, 1981. "Market Structure and the Diffusion of New Technology," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 618-624, Autumn.
    3. Stoneman, Paul & Kwon, Myung Joong, 1996. "Technology Adoption and Firm Profitability," Economic Journal, Royal Economic Society, vol. 106(437), pages 952-962, July.
    4. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    5. Wand, Robert & Leuthold, Florian, 2011. "Feed-in tariffs for photovoltaics: Learning by doing in Germany?," Applied Energy, Elsevier, vol. 88(12), pages 4387-4399.
    6. Yao, Xilong & Liu, Yang & Qu, Shiyou, 2015. "When will wind energy achieve grid parity in China? – Connecting technological learning and climate finance," Applied Energy, Elsevier, vol. 160(C), pages 697-704.
    7. Suzi Kerr & Richard G. Newell, 2003. "Policy‐Induced Technology Adoption: Evidence from the U.S. Lead Phasedown," Journal of Industrial Economics, Wiley Blackwell, vol. 51(3), pages 317-343, September.
    8. Frank M. Bass, 2004. "Comments on "A New Product Growth for Model Consumer Durables The Bass Model"," Management Science, INFORMS, vol. 50(12_supple), pages 1833-1840, December.
    9. Adrian Gourlay & Eric Pentecost, 2002. "The Determinants of Technology Diffusion: Evidence from the UK Financial Sector," Manchester School, University of Manchester, vol. 70(2), pages 185-203, March.
    10. Drew Fudenberg & Jean Tirole, 1985. "Preemption and Rent Equalization in the Adoption of New Technology," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(3), pages 383-401.
    11. Ru, Peng & Zhi, Qiang & Zhang, Fang & Zhong, Xiaotian & Li, Jianqiang & Su, Jun, 2012. "Behind the development of technology: The transition of innovation modes in China’s wind turbine manufacturing industry," Energy Policy, Elsevier, vol. 43(C), pages 58-69.
    12. Colombo, Massimo G & Mosconi, Rocco, 1995. "Complementarity and Cumulative Learning Effects in the Early Diffusion of Multiple Technologies," Journal of Industrial Economics, Wiley Blackwell, vol. 43(1), pages 13-48, March.
    13. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    14. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    15. Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
    16. Edwin Mansfield, 1963. "The Speed of Response of Firms to New Techniques," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 77(2), pages 290-311.
    17. Arthur van Benthem & Kenneth Gillingham & James Sweeney, 2008. "Learning-by-Doing and the Optimal Solar Policy in California," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 131-152.
    18. He, Gang & Kammen, Daniel M., 2014. "Where, when and how much wind is available? A provincial-scale wind resource assessment for China," Energy Policy, Elsevier, vol. 74(C), pages 116-122.
    19. Dan Andrews & Chiara Criscuolo & Peter N. Gal, 2015. "Frontier Firms, Technology Diffusion and Public Policy: Micro Evidence from OECD Countries," OECD Productivity Working Papers 2, OECD Publishing.
    20. Hannan, Timothy H & McDowell, John M, 1987. "Rival Precedence and the Dynamics of Technology Adoption: An Empirical Analysis," Economica, London School of Economics and Political Science, vol. 54(214), pages 155-171, May.
    21. Frank M. Bass, 2004. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 50(12_supple), pages 1825-1832, December.
    22. James G. Mulligan & Emmanuel Llinares, 2003. "Market Segmentation and the Diffusion of Quality-Enhancing Innovations: The Case of Downhill Skiing," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 493-501, August.
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    Cited by:

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    2. Azhgaliyeva, Dina & Liu, Yang & Liddle, Brantley, 2020. "An empirical analysis of energy intensity and the role of policy instruments," Energy Policy, Elsevier, vol. 145(C).

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