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Emerging linked ecologies for a national scale retrofitting programme: The role of local authorities and delivery partners

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  • Wade, Faye
  • Bush, Ruth
  • Webb, Janette

Abstract

Energy Efficient Scotland (EES) is the Scottish Government's flagship programme for the national-scale retrofitting of buildings over the next 15–20 years. This is a critical component of Scotland's commitment to net zero greenhouse gas emissions by 2045, that will also help to reduce fuel poverty and improve local economies. The success of EES is reliant on partnerships between local authorities, arms-length external organisations, charities, and social enterprises. However, little is known about how these organisations collaborate for the delivery of building retrofit. This paper analyses interview data from local authorities and these delivery partners, conceptualising them as part of linked ecologies, or interconnected networks of professional groups. EES is identified as a hinge that holds distinct meanings for different parties; it supports learning between local authorities and delivery partners, but does not guarantee the alignment of priorities. The concept of avatars, or individuals and skills that travel between organisations, reveals the search for relevant internal knowledge amongst local authority officers, whilst external delivery partners amass expertise for retrofitting. To ensure successful national-scale building retrofit, policy makers will need to develop shared databases, and clear guidance for the allocation and distribution of resources and responsibilities between local authorities and delivery partners.

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  • Wade, Faye & Bush, Ruth & Webb, Janette, 2020. "Emerging linked ecologies for a national scale retrofitting programme: The role of local authorities and delivery partners," Energy Policy, Elsevier, vol. 137(C).
    • Handle: RePEc:eee:enepol:v:137:y:2020:i:c:s0301421519307657
    DOI: 10.1016/j.enpol.2019.111179
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    References listed on IDEAS

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    Cited by:

    1. Ahlrichs, Jakob & Wenninger, Simon & Wiethe, Christian & Häckel, Björn, 2022. "Impact of socio-economic factors on local energetic retrofitting needs - A data analytics approach," Energy Policy, Elsevier, vol. 160(C).
    2. Li, X. & Arbabi, H. & Bennett, G. & Oreszczyn, T. & Densley Tingley, D., 2022. "Net zero by 2050: Investigating carbon-budget compliant retrofit measures for the English housing stock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    3. Dan Xu & Zhuang Cai & Di Xu & Wenpeng Lin & Jun Gao & Lubing Li, 2022. "Land Use Change and Ecosystem Health Assessment on Shanghai–Hangzhou Bay, Eastern China," Land, MDPI, vol. 11(6), pages 1-17, June.
    4. Syrodoy, S.V. & Kuznetsov, G.V. & Gutareva, N. Yu & Nigay (Ivanova), N.A., 2022. "Mathematical modeling of the thermochemical processes of sequestration of SOx when burning the particles of the coal and wood mixture," Renewable Energy, Elsevier, vol. 185(C), pages 1392-1409.
    5. Xue Xie & Bin Fang & Shasha He, 2022. "Is China’s Urbanization Quality and Ecosystem Health Developing Harmoniously? An Empirical Analysis from Jiangsu, China," Land, MDPI, vol. 11(4), pages 1-19, April.
    6. Liu, Zhong & Zhou, Zuanjiu & Liu, Chang, 2023. "Estimating the impact of rural centralized residence policy interventions on energy poverty in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).

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