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Reports

3 result(s) found

Beyond Technology: Demand-Side Solutions for Climate Change Mitigation

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English
Authors:
Felix Creutzig, Blanca Fernandez, Helmut Haberl,
Radhika Khosla, Yacob Mulugetta, Karen C. Seto

The assessment literature on climate change solutions to date has emphasized technologies and options based on cost-effectiveness analysis. However, many solutions to climate change mitigation misalign with such analytical frameworks. Here, we examine demand-side solutions, a crucial class of mitigation options that go beyond technological specification and cost-benefit analysis. To do so, we synthesize demand-side mitigation options in the urban, building, transport, and agricultural sectors. We also highlight the specific nature of demand-side solutions in the context of development.

Co-benefits and synergies between urban climate change mitigation and adaptation measures: A literature review

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English
Authors:
Ayyoob Sharifi

Accounting for over 70% of global CO2 emissions, cities are major contributors to climate change. Acknowledging this, urban climate change adaptation and mitigation plans are increasingly developed to make progress toward enhancing climate resilience. While there is consensus that focusing on both adaptation and mitigation is necessary for addressing climate change impacts, better understanding of their interactions is needed to efficiently maximize their potentials. This paper, first, provides a bibliographic analysis to map existing knowledge regarding adaptation-mitigation interactions.

Implementing the cost-optimal methodology in EU countries

Text
English
Authors:
Bogdan Atanasiu,
Ilektra Kouloumpi,
Kirsten Engelund Thomsen,
Søren Aggerholm,
Andreas Enseling,
Tobias Loga,
Klemens Leutgöb,
Johannes Rammerstorfer,
Konrad Witczak

This study presents three cost-optimal calculations. The overall aim is to provide a deeper analysis and to provide additional guidance on how to properly implement the cost-optimality methodology in Member States. Without proper guidance and lessons from exemplary case studies using realistic input data (reflecting the likely future development), there is a risk that the cost-optimal methodology may be implemented at suboptimal levels.

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