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Following the debate on the implications of international trade for global climate policy, this paper introduces the topic of the economic benefits from trade obtained by exporting countries in relation to the emissions generated in the production of exports. In 2008, 24% of global greenhouse gas (GHG) emissions and 20% of the employment around the world were linked to international trade. China “exported” 30% of emissions and hosted 37.5% of the jobs generated by trade worldwide. The European Union and the United States of America were the destination of 25% and 18.4% of the GHG emissions embodied in trade. The imports of these two regions contributed to the creation of 45% of the employment generated by international trade. This paper proposes the idea of including trade issues in international climate negotiations, taking into account not only the environmental burden generated by developed countries when displacing emissions to developing countries through their imports, but also the economic benefits of developing countries producing the goods exported to developed countries.

While scientific research supporting mitigation of further global temperature rise remains a major priority, CoP26 and CoP27 saw increased recognition of the importance of research that informs adaptation to irreversible changes in climate and the increasing threats of extreme weather events. Such work is inevitably and appropriately contextual, but efforts to generalise principles that inform local strategies for adaptation and resilience are likely crucial. Systems approaches are particularly promising in this regard. This study adopted a system dynamics framing to consider linkages between climate change and population health across four low- and middle-income country settings with a view to identifying priority inter-sectoral adaptation measures in each. On the basis of a focused literature review in each setting, we developed preliminary causal loop diagrams (CLD) addressing dynamics operating in Mozambique, Lebanon, Costa Rica, and Georgia. Participatory workshops in each setting convened technical experts from different disciplines to review and refine this causal loop analysis, and identify key drivers and leverage points for adaptation strategy. While analyses reflected the unique dynamics of each setting, common leverage points were identified across sites. These comprised: i) early warning/preparedness regarding extreme events (thus mitigating risk exposure); ii) adapted agricultural practices (to sustain food security and community livelihoods in changing environmental conditions); iii) urban planning (to strengthen the quality of housing and infrastructure and thus reduce population exposure to risks); iv) health systems resilience (to maintain access to quality healthcare for treatment of disease associated with increased risk exposure and other conditions for which access may be disrupted by extreme events); and v) social security (supporting the livelihoods of vulnerable communities and enabling their access to public services, including healthcare). System dynamics modelling methods can provide a valuable mechanism for convening actors across multiple sectors to consider the development of adaptation strategies.

Cities, the core of the global climate change mitigation and strategic low-carbon development, are shelters to more than half of the world population and responsible for three quarters of global energy consumption and greenhouse gas (GHG). This special volume (SV) provides a platform that promotes multi- and inter- disciplinary analyses and discussions on the climate change mitigation for cities. All papers are divided into four themes, including GHG emission inventory and accounting, climate change and urban sectors, climate change and sustainable development, and strategies and mitigation action plans. First, this SV provides methods for constructing emission inventory from both production and consumption perspectives. These methods are useful to improve the comprehensiveness and accuracy of carbon accounting for international cities. Second, the climate change affects urban sectors from various aspects; simultaneously, GHG emissions caused by activities in urban sectors affect the climate system. This SV focuses on mitigation policies and assessment of energy, transport, construction, and service sectors. Third, climate change mitigation of cities is closely connected to urban sustainable development. This SV explores the relationships between climate change mitigation with urbanization, ecosystems, air pollution, and extreme events. Fourth, climate change mitigation policies can be divided into two categories: quantity-based mechanism (e.g., carbon emission trading) and price-based mechanism (e.g., carbon tax). This SV provides experiences of local climate change mitigation all over the world and proposes the city-to-city cooperation on climate change mitigation.

New energy generation and storage systems are continuously being developed due to climate change, resource scarcity, and environmental laws. Some systems are incremental innovations of existing systems while others are radical innovations. Radical innovation systems are risky investments due to their relevant technical and economic uncertainties. Prototyping can hedge these risks by spending a fraction of the cost of a full-scale system and in return receiving economic and technical information regarding the system. In economic terms, prototyping is an option to hedge risk coming at a cost that needs to be properly assessed. Real options analysis is the project appraisal approach for these assessments. This paper aims to introduce and test an algorithm based on real options analysis to quantitatively assess the “option to prototype” in the energy sector. First, the interrelated research areas of prototyping, energy systems, and real options analysis are reviewed. Then, a novel algorithm is presented and applied to an innovative Generation Integrated Energy Storage system: Wind-driven Thermal Pumping to demonstrate the effectiveness of option to prototype and the main parameters influencing this decision. Results show that the cost of the prototype and the market size (number of identical systems to build) are key parameters.

BECCS performance can be measured by a wide range of technical and sustainability indicators, which can be negatively correlated. An exclusive focus on BECCS technical performance – CO2 removal and electricity production, can result in negative consequences for the broader environment.

Abstract This paper explores the use of fuelwood in Third World cities. The importance of fuelwood and the factors which condition its use in cities are set out and three fuelwood problems are identified: the cost to urban consumers, fuel supply security and the impact of urban fuelwood markets on rural areas. Urban fuelwood interventions are evaluated, with four categories identified: interventions in marketing, conservation, increased, wood production and fuel-switching. Of these, fuel-switching by improved supply systems and increased production from smallholders and better management of natural woodlands appear to have the greatest potential. The need for flexibility/community participation in planning is stressed.

Capítulos en libros This paper assesses the scalability and replicability of smart grid projects, by means of the identification of limitations and barriers faced by these projects. Factors have been identified that impact a project s scalability and replicability by means of a review of demonstration projects. The factors are of technical, economic, regulatory and social acceptance nature, and they describe requirements for scalability and replicability. Data was collected from ongoing European smart grid demonstration projects through the use of an elaborated questionnaire on the identified factors. Which allowed to quantify the status quo to what extent projects have taken these factors into account. Dew to their nature the derived factors can be categorized in technical, economic and regulatory & stakeholder related factor areas The obtained results allowed the identification of barriers, i.e. limitations regarding the scalability and replicability of smart grid projects. In particular projects face barriers regarding the absence of standards, the physical limits of the existing infrastructure, the absence of cost-benefit analyses, the neglect of varying macro-economic factors, stakeholder involvement and from the dependency of projects on regional or national regulatory frameworks and market designs. info:eu-repo/semantics/publishedVersion