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The Local Dimension of Energy

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  • Scott Kelly
  • Michael Pollitt

Abstract

In this paper, we postulate that some of the best opportunities for reducing energy demand and carbon emissions are through stronger involvement and leadership from local government. We show that local government can and do have a significant impact on both energy production and energy consumption and are important participants for the implementation of distributed generation (DG). the progress being made by successful local governments can be narrowed to three key factors. First, they have all recognised the co-benefits of a local energy strategy: a reduction in fuel poverty, increased employment, improved quality of life and mitigation of uncertain fuel supplies and prices. Secondly, successful councils have strong political leadership and employee support to implement the structural change to bring about change. Thirdly, leading councils have gained momentum by working in partnership with utilities, private companies, NGO’s, DNO’s and government departments to raise finance and garner support. While climate change remains a global issue, some of the best strategies for mitigation are implemented at the local level.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Scott Kelly & Michael Pollitt, 2011. "The Local Dimension of Energy," Working Papers EPRG 1103, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    • Handle: RePEc:enp:wpaper:eprg1103
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    Citations

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    Cited by:

    1. Ahn, Young-Hwan & Woo, Jung-Hun & Wagner, Fabian & Yoo, Seung Jick, 2019. "Downscaled energy demand projection at the local level using the Iterative Proportional Fitting procedure," Applied Energy, Elsevier, vol. 238(C), pages 384-400.
    2. Pantaleo, Antonio & Candelise, Chiara & Bauen, Ausilio & Shah, Nilay, 2014. "ESCO business models for biomass heating and CHP: Profitability of ESCO operations in Italy and key factors assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 237-253.
    3. Platchkov, L. & Pollitt, M. G. & Reiner, D. & Shaorshadze, I., 2011. "2010 EPRG Public Opinion Survey: Policy Preferences and Energy Saving Measures," Cambridge Working Papers in Economics 1149, Faculty of Economics, University of Cambridge.
    4. Binod Prasad Koirala & Ellen van Oost & Henny van der Windt, 2020. "Innovation Dynamics of Socio-Technical Alignment in Community Energy Storage: The Cases of DrTen and Ecovat," Energies, MDPI, vol. 13(11), pages 1-22, June.
    5. Tingey, Margaret & Webb, Janette, 2020. "Governance institutions and prospects for local energy innovation: laggards and leaders among UK local authorities," Energy Policy, Elsevier, vol. 138(C).
    6. Hettinga, Sanne & Nijkamp, Peter & Scholten, Henk, 2018. "A multi-stakeholder decision support system for local neighbourhood energy planning," Energy Policy, Elsevier, vol. 116(C), pages 277-288.
    7. Bale, Catherine S.E. & Foxon, Timothy J. & Hannon, Matthew J. & Gale, William F., 2012. "Strategic energy planning within local authorities in the UK: A study of the city of Leeds," Energy Policy, Elsevier, vol. 48(C), pages 242-251.
    8. Koirala, Binod Prasad & Koliou, Elta & Friege, Jonas & Hakvoort, Rudi A. & Herder, Paulien M., 2016. "Energetic communities for community energy: A review of key issues and trends shaping integrated community energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 722-744.

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