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Identifying important characteristics of municipal carbon footprints

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  • Larsen, Hogne N.
  • Hertwich, Edgar G.

Abstract

Local climate action has been identified as a vital contributor to global mitigation of greenhouse gas (GHG) emissions. This paper focuses on the GHG emissions resulting from the provision of local public services, illustrated through the Carbon Footprint (CF) indicator. The CF of all 429 Norwegian municipalities is calculated and compared to variables of interest. Results show that the CF changes significantly depending on size and wealth. Small and/or wealthy municipalities tend to have a much higher CF per capita compared to more populated and/or less wealthy cities. While wealth and CF relate very well linearly, increased population is only beneficial up to a certain size. Results indicate that the CF per capita increases in municipalities with more than ~50,000 inhabitants, thus indicating a possible ideal size of municipalities to achieve the optimal municipal CF.

Suggested Citation

  • Larsen, Hogne N. & Hertwich, Edgar G., 2010. "Identifying important characteristics of municipal carbon footprints," Ecological Economics, Elsevier, vol. 70(1), pages 60-66, November.
    • Handle: RePEc:eee:ecolec:v:70:y:2010:i:1:p:60-66
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    References listed on IDEAS

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    1. Peter H. Koehn, 2008. "Underneath Kyoto: Emerging Subnational Government Initiatives and Incipient Issue-Bundling Opportunities in China and the United States," Global Environmental Politics, MIT Press, vol. 8(1), pages 53-77, February.
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    Cited by:

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    2. Anderson, Blake & M'Gonigle, Michael, 2012. "Does ecological economics have a future?," Ecological Economics, Elsevier, vol. 84(C), pages 37-48.
    3. Chen, Guangwu & Wiedmann, Thomas & Wang, Yafei & Hadjikakou, Michalis, 2016. "Transnational city carbon footprint networks – Exploring carbon links between Australian and Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1082-1092.
    4. Wang, Saige & Chen, Bin, 2018. "Three-Tier carbon accounting model for cities," Applied Energy, Elsevier, vol. 229(C), pages 163-175.
    5. Alexandra Lavers Westin & Leonardo Rosado & Yuliya Kalmykova & João Patrício, 2020. "Methods for Downscaling National Material Consumption Data to the Regional and Municipal Levels," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    6. Francesca Bartolacci & Rosanna Salvia & Giovanni Quaranta & Luca Salvati, 2022. "Seeking the Optimal Dimension of Local Administrative Units: A Reflection on Urban Concentration and Changes in Municipal Size," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    7. Asdrubali, F. & Presciutti, A. & Scrucca, F., 2013. "Development of a greenhouse gas accounting GIS-based tool to support local policy making—application to an Italian municipality," Energy Policy, Elsevier, vol. 61(C), pages 587-594.
    8. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    9. Ramachandra, T.V. & Aithal, Bharath H. & Sreejith, K., 2015. "GHG footprint of major cities in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 473-495.

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