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Deliberating on low carbon development

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  • Mulugetta, Yacob
  • Urban, Frauke

Abstract

Low carbon development (LCD) is a much used word in development circles today. As such, governments are actively exploring how to achieve their growth targets through a low carbon trajectory or even through a 'carbon neutral' pathway. This is a new area that challenges how development has been done so far, calling for not only a serious rethink of old practices but also contesting entrenched value systems. In this viewpoint, we explore some of the underlying issues that are driving the process of mainstreaming climate change in development. Recognising that there are variations in LCD, we map out the diversity of understandings and interpretations with a view to lay out the range of possibilities that countries can consider. We argue that whilst countries should certainly draw lessons from the experiences of others on mainstreaming climate change in their policies and practices, the version of LCD that each country follows needs to emerge from within its own national reality, anchored in its development prospects, aspirations and capacities.

Suggested Citation

  • Mulugetta, Yacob & Urban, Frauke, 2010. "Deliberating on low carbon development," Energy Policy, Elsevier, vol. 38(12), pages 7546-7549, December.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:12:p:7546-7549
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    References listed on IDEAS

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    1. Frauke Urban, 2010. "Pro-poor low carbon development and the role of growth," International Journal of Green Economics, Inderscience Enterprises Ltd, vol. 4(1), pages 82-93.
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    13. Rasmus Lema & Björn Johnson & Allan Dahl Andersen & Bengt-Åke Lundvall & Ankur Chaudhary (ed.), 2014. "Low-Carbon Innovation and Development," Globelics Thematic Reviews, Globelics - Global Network for Economics of Learning, Innovation, and Competence Building Systems, Aalborg University, Department of Business and Management, number low-carbon, July.
    14. Dabo Guan & Terry Barker, 2012. "Low-carbon development in the least developed region: a case study of Guangyuan, Sichuan province, southwest China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(2), pages 243-254, June.
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    24. Wang, Huaqing & Tan, Zhongfu & Liang, Yan & Li, Fanqi & Zhang, Zheyu & Ju, Liwei, 2024. "A novel multi-layer stacking ensemble wind power prediction model under Tensorflow deep learning framework considering feature enhancement and data hierarchy processing," Energy, Elsevier, vol. 286(C).
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