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Market penetration rates of new energy technologies

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  • Lund, Peter

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  • Lund, Peter, 2006. "Market penetration rates of new energy technologies," Energy Policy, Elsevier, vol. 34(17), pages 3317-3326, November.
  • Handle: RePEc:eee:enepol:v:34:y:2006:i:17:p:3317-3326
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    References listed on IDEAS

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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. Lanjouw, Jean Olson & Mody, Ashoka, 1996. "Innovation and the international diffusion of environmentally responsive technology," Research Policy, Elsevier, vol. 25(4), pages 549-571, June.
    3. Crompton, Paul, 2001. "The diffusion of new steelmaking technology," Resources Policy, Elsevier, vol. 27(2), pages 87-95, June.
    4. Dieperink, Carel & Brand, Iemy & Vermeulen, Walter, 2004. "Diffusion of energy-saving innovations in industry and the built environment: Dutch studies as inputs for a more integrated analytical framework," Energy Policy, Elsevier, vol. 32(6), pages 773-784, April.
    5. Davies, Stephen W., 1979. "Inter-firm diffusion of process innovations," European Economic Review, Elsevier, vol. 12(4), pages 299-317, October.
    6. Y. Iwafune, 2000. "Technology Progress Dynamics of Compact Fluorescent Lamps," Working Papers ir00009, International Institute for Applied Systems Analysis.
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    Citations

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    Cited by:

    1. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
    2. repec:eee:appene:v:197:y:2017:i:c:p:29-39 is not listed on IDEAS
    3. Collins, Matthew & Curtis, John, 2017. "Advertising and investment spillovers in the diffusion of residential energy efficiency renovations," Papers WP569, Economic and Social Research Institute (ESRI).
    4. Wei Jin & ZhongXiang Zhang, 2015. "Levelling the Playing Field: On the Missing Role of Network Externality in Designing Renewable Energy Technology Deployment Policies," Working Papers 2015.76, Fondazione Eni Enrico Mattei.
    5. Huh, Sung-Yoon & Lee, Chul-Yong, 2014. "Diffusion of renewable energy technologies in South Korea on incorporating their competitive interrelationships," Energy Policy, Elsevier, vol. 69(C), pages 248-257.
    6. Benjamin K. Sovacool, 2016. "The history and politics of energy transitions Comparing contested views and finding common ground," WIDER Working Paper Series 081, World Institute for Development Economic Research (UNU-WIDER).
    7. Lund, Peter D., 2014. "How fast can businesses in the new energy sector grow? An analysis of critical factors," Renewable Energy, Elsevier, vol. 66(C), pages 33-40.
    8. Dodds, Paul E., 2014. "Integrating housing stock and energy system models as a strategy to improve heat decarbonisation assessments," Applied Energy, Elsevier, vol. 132(C), pages 358-369.
    9. Hlavinka, Alexander N. & Mjelde, James W. & Dharmasena, Senarath & Holland, Christine, 2016. "Forecasting the adoption of residential ductless heat pumps," Energy Economics, Elsevier, vol. 54(C), pages 60-67.
    10. Mikkola, Jani & Lund, Peter D., 2016. "Modeling flexibility and optimal use of existing power plants with large-scale variable renewable power schemes," Energy, Elsevier, vol. 112(C), pages 364-375.
    11. Lu, Ze-Yu & Li, Wen-Hua & Xie, Bai-Chen & Shang, Li-Feng, 2015. "Study on China’s wind power development path—Based on the target for 2030," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 197-208.
    12. Heffron, Raphael J., 2013. "Nuclear new build in the United States 1990–2010: A three state analysis," Technological Forecasting and Social Change, Elsevier, vol. 80(5), pages 876-892.
    13. Barnes, Belinda & Southwell, Darren & Bruce, Sarah & Woodhams, Felicity, 2014. "Additionality, common practice and incentive schemes for the uptake of innovations," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 43-61.
    14. Elwell, Clifford A. & Biddulph, Phillip & Lowe, Robert & Oreszczyn, Tadj, 2015. "Determining the impact of regulatory policy on UK gas use using Bayesian analysis on publicly available data," Energy Policy, Elsevier, vol. 86(C), pages 770-783.
    15. Purwanto, Widodo Wahyu & Pratama, Yoga Wienda & Nugroho, Yulianto Sulistyo & Warjito, & Hertono, Gatot Fatwanto & Hartono, Djoni & Deendarlianto, & Tezuka, Tetsuo, 2015. "Multi-objective optimization model for sustainable Indonesian electricity system: Analysis of economic, environment, and adequacy of energy sources," Renewable Energy, Elsevier, vol. 81(C), pages 308-318.
    16. Harijan, Khanji & Uqaili, Mohammad A. & Memon, Mujeebuddin & Mirza, Umar K., 2011. "Forecasting the diffusion of wind power in Pakistan," Energy, Elsevier, vol. 36(10), pages 6068-6073.
    17. Liu, Xianbing & Fan, Yongbin & Li, Chen, 2016. "Carbon pricing for low carbon technology diffusion: A survey analysis of China's cement industry," Energy, Elsevier, vol. 106(C), pages 73-86.
    18. Liu, Yue & Packey, Daniel J., 2014. "Combined-cycle hydropower systems – The potential of applying hydrokinetic turbines in the tailwaters of existing conventional hydropower stations," Renewable Energy, Elsevier, vol. 66(C), pages 228-231.
    19. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
    20. repec:eee:appene:v:205:y:2017:i:c:p:1560-1570 is not listed on IDEAS
    21. Dusonchet, Luigi & Telaretti, Enrico, 2010. "Economic analysis of different supporting policies for the production of electrical energy by solar photovoltaics in western European Union countries," Energy Policy, Elsevier, vol. 38(7), pages 3297-3308, July.
    22. Xu, Jiuping & Li, Li & Zheng, Bobo, 2016. "Wind energy generation technological paradigm diffusion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 436-449.
    23. Bistline, John E. & Rai, Varun, 2010. "The role of carbon capture technologies in greenhouse gas emissions-reduction models: A parametric study for the U.S. power sector," Energy Policy, Elsevier, vol. 38(2), pages 1177-1191, February.

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