Coastal areas are highly vulnerable to climate-change hazards (e.g., sea-level rise, flooding, coastal erosion), which can lead to significant impacts at the ecosystem and societal level. Interest in ecosystem-based adaptation (EbA) is gaining importance due to its potential multiple benefits, including social and environmental aspects, when compared to more traditional approaches such as hard engineering interventions. When assessing EbA strategies, further understanding of the nature–society functions, processes, values, and benefits is needed to increase its application. This study contributes to better knowledge of EbA and other adaptation strategies by developing a systematic literature review of studies performing socio-economic assessments of climate-change adaptation in coastal areas. The analysis of 54 publications revealed that cost–benefit analysis was applied in most studies, followed by multi-criteria analysis and other techniques. Hybrid adaptation strategies based on different combinations of hard, soft, and EbA interventions were considered as potential optimal solutions in a significant part of the assessments. This study shows some potential co-benefits of EbA, such as livelihood diversification or biodiversity conservation, but also stresses the need for further research on this topic, as well as on evaluating how EbA performs in the long term under changing climate-condition scenarios.

This research paper aims at developing and applying a constructive weighting methodology for the elicitation of local stakeholders’ preferences regarding a set of sustainability evaluation criteria during the assessment of low-carbon energy technologies. The overall methodology has been applied and tested for the sustainability evaluation of selected low-carbon energy technologies in Europe from a local stakeholders’ perspective. The researchers applied a constructive weighting methodology based on different Multiple Criteria Analysis (MCA) techniques to test the consistency of stakeholders’ preferences. The methodology was piloted based on a small-scale European local stakeholders’ survey within the framework of Covenant CapaCITY, an Intelligent Energy Europe project that supports the development of Sustainable Energy Action Plans (SEAPs). It became evident that the local stakeholders who participated placed high priorities on aspects such as CO₂eq emissions reduction, ecosystem damages reduction, and resilience to climate change during the evaluation of low-carbon energy technologies. Considering the overall energy technologies assessment, wind off-shore, solar PV, hydropower, and wind on-shore achieved the highest scores and better reflected the priorities of local stakeholders considering a large set of multiple sustainability criteria. The high number of criteria led to some inconsistencies of stakeholders’ preferences, confirming the need for consistency checks and/or combining different methods of preference elicitation.

The main objective of this article is to assess the priorities of local governments (LGs) in Europe regarding climate change mitigation technologies evaluation in the electricity sector and to provide important insights for energy policy design. The study applies a hybrid weighting methodology to elicit LGs’ preferences in a constructive and iterative way regarding the evaluation criteria of low-carbon energy technologies. Furthermore, the study employs three data collection and preference elicitation methods, namely: survey, workshop, and webinar. The study was conducted across thirty one (31) European LGs that were categorized according to three variables: population size, geographical region and gross domestic product (GDP) per capita. The analysis shows that “CO₂ emissions” is the most important criterion among European LGs, followed by “mortality and morbidity” and “ecosystem damages”. The results illustrate the potential synergies of climate and energy policies for addressing both CO₂ emissions and air pollution. It was also found, based on a correlation analysis, that LGs with higher GDP per capita tend to provide higher weights to criteria related to security of energy supply and technological innovation. The current study provides insights on the actual LGs’ priorities that are important to consider during low-carbon energy technologies evaluation and energy policy design. Interestingly, the results of the European LGs’ preferences clearly show that the EU climate policy objectives have reached different levels of governance—and at this particular case, the local level. Furthermore, the developed methodology could be applied at different geographical regions to map other regions’ LG priorities, but also at a group decision making context to elicit relevant stakeholders’ preferences regarding low-carbon energy technologies and policy objectives.

City representatives actively share and seek knowledge, experiences, and solutions to address climate change challenges. This research investigates the question: What conditions explain engagement in city‐to‐city learning on climate change policy? To answer this, the study defines engagement as an active, directed approach of sharing and seeking policy information. It identifies 14 potential conditions influencing engagement, categorized into five broad areas: internal context, partner attributes, intercity relations, boundary spanners, and individual characteristics. Using a global survey and quantitative analyses, the study determines the most influential conditions. Findings highlight the importance of individual characteristics—particularly the frequency of working on climate change‐related issues and the number of years an individual has worked for the city. Additionally, internal context, especially local pressures, plays a crucial role in shaping engagement in C2C learning.