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Barriers To Implementing Low-Carbon Technologies

Author

Listed:
  • KENNETH GILLINGHAM

    (Yale University, 195 Prospect Street, New Haven, CT 06510, USA)

  • JAMES SWEENEY

    (Precourt Energy Efficiency Center, Y2E2 Building Room 389, 473 Via Ortega, Stanford, CA 94305-4206, USA)

Abstract

This paper reviews the major barriers to the adoption of low-carbon technologies, with a focus on market failures that provide a rationale for policy intervention to improve economic efficiency. Market failures include externalities, asymmetric information, institutional failures, regulatory failures, and failures of consumer or firm decision-making. We discuss central generation renewable energy technologies, CCS technology, distribution generation renewable energy, and technologies to reduce the demand for energy. For each technology category, we assess whether and how policy might improve economic efficiency, and point to key open research questions.

Suggested Citation

  • Kenneth Gillingham & James Sweeney, 2012. "Barriers To Implementing Low-Carbon Technologies," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-21.
    • Handle: RePEc:wsi:ccexxx:v:03:y:2012:i:04:n:s2010007812500194
    DOI: 10.1142/S2010007812500194
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    1. J-T Teng, 2008. "Reply to Kun-Jen Chung," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(10), pages 1429-1430, October.
    2. Gautam Gowrisankaran & Stanley S. Reynolds & Mario Samano, 2016. "Intermittency and the Value of Renewable Energy," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 1187-1234.
    3. FAN He, 2008. "Tsunami in New York Earthquake in Beijing?," Finance Working Papers 22733, East Asian Bureau of Economic Research.
    4. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
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    Cited by:

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    2. Zheming Yan & Lan Yi & Kerui Du & Zhiming Yang, 2017. "Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO 2 Emissions," Sustainability, MDPI, vol. 9(4), pages 1-14, April.
    3. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    4. Tuydes-Yaman, Hediye & Dalkic-Melek, Gulcin & Chakarova, Kristiana & Ozcelik, Asli Sezer, 2024. "Barriers and opportunities (B&O) for developing low carbon transportation (LCT) policies in Turkey," Journal of Transport Geography, Elsevier, vol. 118(C).
    5. Victoria Shestalova & Chiara Criscuolo & Nick Johnstone & Carlo Menon, 2014. "Renewable energy policies and cross-border investment: evidence from M&A in solar and wind energy," CPB Discussion Paper 288, CPB Netherlands Bureau for Economic Policy Analysis.
    6. Steven E. Sexton & A. Justin Kirkpatrick & Robert Harris & Nicholas Z. Muller, 2018. "Heterogeneous Environmental and Grid Benefits from Rooftop Solar and the Costs of Inefficient Siting Decisions," NBER Working Papers 25241, National Bureau of Economic Research, Inc.
    7. Hochman, Gal & Timilsina, Govinda R., 2017. "Energy efficiency barriers in commercial and industrial firms in Ukraine: An empirical analysis," Energy Economics, Elsevier, vol. 63(C), pages 22-30.
    8. Victoria Shestalova & Chiara Criscuolo & Nick Johnstone & Carlo Menon, 2014. "Renewable energy policies and cross-border investment: evidence from M&A in solar and wind energy," CPB Discussion Paper 288.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    9. Lang, Tillmann & Gloerfeld, Erik & Girod, Bastien, 2015. "Don׳t just follow the sun – A global assessment of economic performance for residential building photovoltaics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 932-951.
    10. Girod, Bastien & Mayer, Sebastian & Nägele, Florian, 2017. "Economic versus belief-based models: Shedding light on the adoption of novel green technologies," Energy Policy, Elsevier, vol. 101(C), pages 415-426.
    11. Liu, Yong, 2014. "Barriers to the adoption of low carbon production: A multiple-case study of Chinese industrial firms," Energy Policy, Elsevier, vol. 67(C), pages 412-421.
    12. Bo Wang & Chunyan Huang & Huaming Wang & Fangwei Liao, 2022. "Impact Factors in Chinese Construction Enterprises’ Carbon Emission-Reduction Intentions," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    13. Geddes, Anna & Schmidt, Tobias S. & Steffen, Bjarne, 2018. "The multiple roles of state investment banks in low-carbon energy finance: An analysis of Australia, the UK and Germany," Energy Policy, Elsevier, vol. 115(C), pages 158-170.
    14. Lei Jin & Keran Duan & Xu Tang, 2018. "What Is the Relationship between Technological Innovation and Energy Consumption? Empirical Analysis Based on Provincial Panel Data from China," Sustainability, MDPI, vol. 10(1), pages 1-13, January.

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