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Climate change adaptation and mitigation remain critical to achieving sustainable development while reducing climate vulnerability, particularly among climate-exposed and sensitive regions. Yet, achieving a balance between climate-resilience pathways, high economic productivity, high human development, and energy efficiency appears complex, leading to potential trade-offs. Here, we examine the overarching effect of the diversified energy portfolio, socio-economic drivers, and governance adaptation readiness on Climate change vulnerability across 212 economies. Contrary to the poor conventional panel techniques reported in the existing literature, we employ novel machine learning and dynamic panel estimation techniques that control for chaos, nonlinearity, mutual coupling, and heterogeneity in dynamic systems. The convergent cross-mapping causality technique reveals mutual coupling effects between energy portfolio, governance readiness, socio-economic drivers, and climate change vulnerability. The rapidly increasing population and increasing demand for resources under the business-as-usual society and economic structure that normalizes unsustainable development pathways due to weak governance structures create ineffective climate-resilient policies that lead to unabated emissions with consequences on climate change. The effect of social and governance readiness leads the transformation process to attain sustainable development. Thus, high social and governance readiness spurs climate resilience through climate change adaptation and mitigation to achieve sustainable development. Alternative (renewables) and nuclear energy have displacement effects on fossil fuels, yet, the magnitude of displacement is not large enough to replace future fossil fuel consumption. Conversely, a low-carbon future is still attainable by replacing the fossil energy portfolio with more natural gas and carbon-abatement technologies. Our study demonstrates that energy innovations are useful climate-resilience pathways that lessen climate change vulnerability. [ABSTRACT FROM AUTHOR]

Future projections indicate an expansion for both food and energy demands, which can increase pressure on land use, while there is an urgent global need for climate change mitigation. Bioenergy is foreseen as key option to meet future energy demands and reduce greenhouse gas (GHG) emissions, however its sustainability depends on locations and regional characteristics. Simultaneously, agricultural production models that co-produce food, feed, and energy offer sustainability synergies and co-benefits, but site-specific sustainability assessments of their large-scale implementation are missing. This study presents a bottom-up approach to assess spatially explicit sustainability aspects of bioenergy-livestock integrated systems (BLI) in Brazil and shed light on their contribution to future energy demands, to climate change mitigation targets, and their impacts on selected ecosystem services, including bioenergy production, climate change mitigation, reduction of food competition, biodiversity conservation, and avoided deforestation. The proposed integration considers livestock intensification and use of biofuels by-products as animal feed supplement, taking advantage of synergies between these two value chains. The expansion of the BLI system in the Center-South region of Brazil produce up to 89 billion liters of ethanol, enough to meet future domestic ethanol demands from multiple shared socioeconomic pathways and generating surpluses for export. This production takes place on 16 million hectares of pastureland within the Sugarcane Agroecological Zoning, excluding the Amazon and Pantanal biomes, and biodiversity hotspots. BLI expansion mitigate up to 250 million tonnes of CO 2 eq and generate 15 billion dollars of profits. The best locations to maximize the selected ecosystem services are west of São Paulo, east of Mato Grosso do Sul, and the south-central region of the states of Goiás. This study may encourage the formulation of enhanced public policies for the integration of bioenergy and livestock value chains and guide a sustainable large-scale deployment of BLI systems. • Bioenergy and livestock integration (BLI): co-production of food, feed and energy. • BLI systems: 89 billion liters of ethanol and 250 million tonnes of CO 2 eq mitigated. • Enough ethanol to meet future Brazilian demands and surplus to be exported. • Biomass expansion only on pastureland inside Sugarcane Agroecological Zoning. • Without land displacement and deforestation of native vegetation. [ABSTRACT FROM AUTHOR]

Abstract 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. [ABSTRACT FROM AUTHOR]

Around the world, cities are creating local climate change mitigation strategies and combining strengths in international efforts. In addition to making the strategies, it is important to follow, how they work in practice. The aim of the study is to examine, how climate change mitigation policies and other events affected the consumption-based household carbon footprints in the Helsinki Metropolitan Area (HMA) from 2006 until 2012. The cities of the HMA launched an ambitious climate change mitigation strategy in 2007. Furthermore, the study analyses the changes in the carbon footprints of six different types of urban zone within the HMA: the central pedestrian zone, the fringe of the central pedestrian zone, intensive public transport zone, public transport zone, car zone and the pedestrian zones of subcentres. The results of the study reveal that the average carbon footprint decreased 7% from 2006 to 2012, despite 1% increase in expenditure, which is encouraging. Emissions caused by housing energy consumption and motor fuel consumption decreased the most. Among the urban zones, public transport zone and car zone, which are the two outermost zones of the HMA, had the strongest emission reductions. Cleaner electricity and the improved energy efficiency of buildings had a strong effect. The regression analysis of the study suggests that the central pedestrian zone and the car zone, the two most affluent zones of the HMA, have higher carbon footprints than all the other zones have between them. However, this is only true when income is controlled, not when expenditure is controlled. The economic crisis in 2008, and changes in consumption behaviour because of it, seem to explain the result. The reduction of the average carbon footprint in the HMA was not only due to steered mitigation actions. Increased housing costs seem to have contributed to the decline of consumption-based emissions. The results of the study suggest that to achieve the ambitious international, national and local climate change mitigation targets, stronger measures are needed. [ABSTRACT FROM AUTHOR]

The danger of climate change has over the years become a reality in the public domain. While efforts to mitigate climate change involve energy mix, energy efficiency and cleaner technology, financial development has also been considered as an important factor. Indicator of financial development may draw FDI and advanced degree of research and development which can accelerate economic growth and hence affect dynamism of environmental performance. This study examines the impacts of energy use and financial development indicators by source in the environment-growth-energy model for 90 countries categorized on the basis of income possession over the period 1980–2014. The study applies the panel analysis that accounts for cross-sectional dependence and heterogeneity of series used in the estimation. Results from panel Dynamic Ordinary Least Squares (DOLS) show that in all the categories of countries, fossil fuel energy use and GDP per capita are found to be the major drivers of CO 2 emissions though fossil fuel energy use possesses the bigger elasticities. Population however, displays a sign contrary to expectation regarding economic theory in high income countries. Renewable energy and financial development on the other hand are capable of reducing CO 2 emissions. However, the magnitude of the long-run elasticity of CO 2 emissions with respect to renewable energy use and financial development are much greater in the models with M 2 /GDP than the model with M 2 /Reserve especially in the high income countries. Policies should be geared towards stimulating investments in renewable energy technology. There is need to develop robust financial systems to lend financial credence to research institutes to work towards producing energy that have less carbon or are carbon-free. [ABSTRACT FROM AUTHOR]

The mitigation of climate change is the main issue for environmental policymakers. A large number of authors analysed the impact of various factors on greenhouse gas (GHG) emissions. In this paper, we proposed a multiplicative approach to use 2- and 3-way interactions simultaneously in order to analyse the effects of energy efficiency, renewable energy and sector mix as the moderators that shape the economic activity – environmental degradation nexus. The results encompassing global panel data show that the turning point increased from 1990 to 1995 to 2002–2007 and decreased afterwards. Considering the analysis of moderators, a high share of agriculture and industry sectors make the curve flat with a positive slope and a high level of economic activity was associated with more GHG emissions with no turning point. The marginal effect of energy efficiency to reduce the negative impact of agriculture and industry sectors was growing. Meanwhile, the marginal effect of renewables to reduce the negative impact of agriculture and industry sectors was diminishing. Service sector and energy efficiency, service sector and renewables worked as the substituting forces reducing GHG emissions with a diminishing marginal rate of substitution. Therefore, this study confirms that the economic activity – environmental degradation relationship is very complex and further studies should consider the role of the moderators of this nexus. [Display omitted] • Technique, composition effects should be considered as moderators of HGH emissions. • The multiplicative approach was applied to model interactions of GHG factors. • Agriculture, industry sectors made the economic activity GHG emissions curve flat. • Marginal effect of renewables to reduce GHG emissions was diminishing. • Service sector and renewables worked as substituting forces reducing emissions. [ABSTRACT FROM AUTHOR]

Urbanisation and the associated growing climate change burdens pose risks to urban and global climate resilience. Urban greenhouse gas emissions fluctuate over time in response to energy demand, which is influenced by government programmes, economic activity, and demographics. In this research, we investigate the influence of policy on urban energy demand and its consequences on mitigating climate change impacts. Using a case study of Lisbon, Portugal from 2008 to 2016, we illustrate a combined use of an urban energy metabolism assessment coupled with a logarithmic mean Divisia index to isolate the changes in energy-related carbon emissions associated with policy changes. We then link these energy flows to life cycle emissions factors to build a multi-level assessment between local and non-local global warming potential. We find that in 2016 Lisbon's energy flows generated more than 2 Mt of CO 2 -equivalent emissions over their life cycles, 48% of which were direct emissions within the city. This corresponds to a decrease of around 37% in greenhouse gas emissions from 2008. Additionally, we estimate the potential of Lisbon's urban forests to sequester these emissions to understand the potential for climate change mitigation. Results show that Lisbon's urban forest can meet less than 1% of the emissions throughout the assessment period. We discuss the changes, concluding that urban forests are insufficient in size to meet the sequestration demands of the urban energy metabolism, and therefore the focus must be more attuned to reducing fossil fuel use in the urban trade and transport activities. • Carbon emissions from Lisbon's urban energy metabolism are dominated by diesel use in the trade and transportation sectors. • Carbon emissions from Lisbon's urban energy metabolism have decreased following energy policy interventions. • Less than 1% of Lisbon's energy-related carbon emissions are sequestered by urban forests. • Urban forests are insufficient in size to mitigate the demand for carbon sequestration. • Energy policy must focus on reducing urban demand for diesel and petrol by transport activities. [ABSTRACT FROM AUTHOR]

Climate change mitigation is a topical issue with growing debate in the context of the renewable energy transition, global partnership, governance, and economic growth. The complexness of climate change makes it difficult to predict relationships and formulate policies across varied countries. Motivated by the core mandate of the Kyoto Protocol, we examined the individual, combined and interactive impact of growth in income, renewable energy, foreign direct investment, and governance on greenhouse gas emissions. We decomposed the relationships to account for the theories of scale effect, composition effect and technique effect. The study utilized a dynamic heterogeneous estimation technique with a panel data from 1990 to 2017 in 47 Sub-Saharan African countries. Our adopted empirical framework made it possible to account for heterogeneity, a situation that may be prevalent in countries with varied economic and environmental policies. The empirical results revealed that increasing the share of renewable energy by 1% declines greenhouse gas emissions by as much as 35.32% (95% Confidence interval) while a 1% increase in the coupling effect of income level, governance, and renewable energy consumption intensifies climate change by 0.79%. The interactive effects of scale, composition, and technique indicators were found to worsen climate change. The decoupling effect revealed that while foreign direct investment, income level, and governance exacerbate climate change, renewable energy consumption lessens climate change and its impact. From a policy perspective, the magnitude of the technique effect of renewable energy consumption depends on, inter alia , its share in the energy portfolio, technological innovation, and country-specific policy instruments. The study demonstrated that decoupling renewable energy from economic growth propels the transition from fossil fuels, leading to energy efficiency— explaining the decline in GHG emissions. • Dynamic heterogeneous method is used to develop 13 conceptual tools for mitigating climate change. • Climate change is decomposed into scale, composition and technique effects. • Increasing renewable energy consumption reduces climate change in Sub-Saharan African. • Income level exacerbates pollution intensities which affect climate change and its impact. • The study confirmed the validity of the Pollution Haven Hypotheses in Africa. [ABSTRACT FROM AUTHOR]