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[Display omitted] At the mid-point to 2030, progress towards achieving the Sustainable Development Goals (SDGs) varies significantly across countries. While the classification of countries can lay the foundation for improving policy efficiency and promoting joint action, bottom-up, SDG data-driven country classifications have largely remained unexplored. Here, we classified 166 countries based on their performances in the 17 SDGs and further used the classification to analyze SDG interactions and compare development aid distributions. The countries were classified into five groups, ranging from "lowest development with good environment" to "high development needing climate action". None of them scored highly in all SDGs, and due to trade-offs related to environment and climate SDGs, none of them can achieve all SDGs eventually. To maximize the potential for achieving the SDGs, all countries need to undergo a sustainable transformation, and prioritizing certain SDGs, such as SDG 9 (industry, innovation and infrastructure), can help countries with lower sustainable development levels achieve more with less. Furthermore, global development aid should be better aligned with country needs, particularly in areas of education, energy, environment, and water supply and sanitation. By better characterizing different countries, this study reveals the bleak prospects of achieving all SDGs and provides valuable insights into more targeted actions for national sustainable development and global collaboration. [ABSTRACT FROM AUTHOR]

While the popularity and feasibility of solar power have increased toward achieving a low-carbon and climate-resilient society, it is uncertain how changes in climate attributes will affect the future potential of solar power output. This study presents a comparative assessment of future changes in solar power in terms of the technology for harnessing energy from insolation (PVP vs CSP), climate projections (CMIP5 vs CMIP6), and emission scenarios. Both CMIP5 and CMIP6 multi-model projections capture the major characteristics of the global distribution seen in PVP and CSP calculated using the reanalysis data during the historical period. However, despite the general similarity to CMIP5-based results, CMIP6 models slightly outperform their CMIP5 counterparts regarding quantitative metrics and enhance the robustness of the future change signal estimated by the statistical significance and inter-model consistency. The future changes in PVP and CSP patterns are sensitive to the emission scenarios that can control the degree of warming. Under the fossil-fueled development scenarios, the greater increase in temperatures may lead to a high vulnerability of the solar power supply by reducing the output of both PVP and CSP. This study is timely and relevant to emphasizing the benefits of climate change mitigation, which can support the sustainable development of solar energy. [ABSTRACT FROM AUTHOR]

Green finance is an effective policy instrument in mitigating climate change, but to date little is known about its impact on carbon dioxide (CO 2) emissions. This study extends the literature on the relationship between green finance and CO 2 emissions while taking trade openness and economic development into consideration to comprehensively explore the conservation/feedback hypothesis using the Autoregressive-Distributed Lag–Error Correction Model (ARDL–ECM) on data collected from 2000 to 2019. By constructing a green finance index comprising green credit, green securities, green insurance, and green investment, results include the following. (1) Support was found for the conservation hypothesis running from green finance, trade openness, and economic development to emissions per capita; the conservation hypothesis also was supported for the unidirectional relationship running from trade openness and economic development to green finance. (2) Green finance is found to be significantly and negatively related to emissions per capita in both the short and long term. (3) Trade openness shows a positive effect on emissions per capita. Robustness tests are provided. This study deepens policy implications of green finance in the post-pandemic era and highlights the moderating role of renewable energy in the green finance impact on carbon mitigation. • This study constructs a green finance index for China. • The autoregressive distributed lag–error correction model is employed. • Green finance contributes to carbon mitigation in both the short and long run. • CO 2 emissions are Granger result of green finance, trade openness and economic growth. • Trade openness and economic growth are Granger causes of each other. [ABSTRACT FROM AUTHOR]

The motivation of this study stems from the United Nations Sustainable Development Goals on clean and responsible energy consumption, climate change mitigation and sustainable economic growth (UN-SDGs-7, 11, 12 and 13). The present study examines the impact of institutional quality on CO 2 emissions in the presence of the Environmental Kuznets Curve (EKC) framework using data on CO 2 emissions and the six dimensions of institutional quality from the World Governance Indicators (WGI). The current study focuses on selected 30 Sub-Saharan African (SSA) countries over the annual period from 2000 to 2021. The EKC hypothesis revealed CO 2 emissions are substantially reduced by corruption control, regulatory quality, and the rule of law. Findings from the Dumitrescu and Hurlin causality test showed a one-way causality running from CO 2 emissions to industrialization. Similar uni-directional causality is observed between economic growth, and energy consumption. On the other hand, we observed a two-way causality flow from CO 2 emissions to population growth and all indices of institutional quality over the investigated period. These findings indicate that government agencies should efficiently implement acceptable strategies for pollution control and enact public benefit environmental regulations in the form of a healthier climate for the entire population. • We examined the impact of institutional quality on CO 2 emissions in the presence of the Environmental Kuznets Curve (EKC) framework. • 30 Sub-Saharan Africa (SSA) countries are selected for empirical investigation. • We reveal that CO 2 emissions are substantially reduced by corruption control, regulatory quality, and the rule of law. • Meanwhile, one-way causality runs from CO 2 emissions to industrialization. • A two-way causality flow from CO 2 emissions to population growth and all indices of institutional quality are reported. [ABSTRACT FROM AUTHOR]

Biotechnology, the fifth technological wave preceding the sixth wave of Sustainability, is crucial for achieving the 2023 Agenda's Sustainable Development Goals (SDGs), especially in biodiverse Brazil. This review uses composite indicators to compare Brazil with the USA across static and temporal evolutions. Technology Readiness Levels (TRL) 4 and 5 were assessed using patents from 2000 to 2019. Patents from 2000 to 2019 reveal a TRL gap at 4–5 in Brazil, skewed towards academic articles (TRL3), indicating lag behind the USA at TRL5. Brazil's patent growth rate surpasses the USA's by eightfold. Specialization between Brazilian academia and the nation converges. The revealed technological advantage and the distance between academies and between countries are nearing unification. Brazil focuses on SDG3 (Good Health and Well-Being) and SDG7 (Affordable and Clean Energy) but must intensify efforts on SDG2 (Zero Hunger), SDG6 (Clean Water and Sanitation), SDG13 (Climate Action), SDG14 (Life below Water), and SDG15 (Life on Land). The USA concentrates its technologies in SDG3 (Good Health and Well-Being). USA's modern biotech navigates the fifth wave, while Brazil's traditional biotech must modernize, focusing on SDG9 (Industry, Innovation, and Infrastructure) and SDG17 (Global Partnerships for Sustainable Development), requiring government policies for mid-range TRLs. [ABSTRACT FROM AUTHOR]

The 2015 Sustainable Development Goals (SDGs) provide a set of aspirational objectives for the world, addressing interlinked themes including poverty, hunger, and climate action. Meeting these goals requires a similarly integrated and interdisciplinary approach. One component of such an approach may be agrivoltaic systems (AVS): dual use solar and agricultural systems wherein crops are grown beneath and between solar panels. Given their intersectoral nature, AVS will have complex impacts on the achievement of the SDGs. This analysis seeks to evaluate how AVS could impact progress towards the SDGs based on literature around the impacts of agriculture, solar, and AVS, and the indicators measuring progress towards the SDGs. It uses a Strengths, Weaknesses, Opportunities, and Threats (SWOT) framework and applies it in a unique way to understand the direct and immediate impacts to the SDGs following the installation of an AVS (i.e., strengths and weaknesses), and the potential impacts on the SDGs based on secondary or supplementary actions taken once an AVS is installed (i.e., opportunities and threats). Though the most obvious of AVS' impacts to the SDGs will be on Goals 2 (Zero Hunger) and 7 (Affordable and Clean Energy), evaluation of individual indicators shows that AVS can quantifiably impact 14 out of 17 SDGs, largely in a positive manner. However, evaluating impacts on the SDGs indicator by indicator also reveals possible negative, and unexpected, consequences of AVS. Yet, impacts on the SDGs will vary by location-specific factors such as climate, and so this analysis concludes with an application of the SWOT framework in Ethiopia for a farm where an AVS is under consideration. Altogether, this work should provide a means for evaluating the impacts of AVS on SDGs and insights into how to mitigate possible detrimental impacts while capitalizing on benefits. • Agrivoltaics measurably impact 13 out of the 17 Sustainable Development Goals. • Impacts of agrivoltaics depend on a reference case: single use agriculture or solar. • Agrivoltaic systems can underpin rural electrification of farms and schools. • Targeted government initiatives can capitalize on the benefits of agrivoltaics. [ABSTRACT FROM AUTHOR]

In 2018, Costa Rica demonstrated its commitment to the Paris Agreement and published its Decarbonization Plan for achieving zero net emissions by the year 2050. We evaluate the impacts of the country's strategy for decarbonizing its Agriculture, Forestry and Other Land Uses (AFOLU) sectors by coupling the Integrated Economic-Environmental Modeling framework with high-resolution spatial land use-land cover change and ecosystem services modeling (IEEM+ESM). Our results show that decarbonization of AFOLU would simultaneously enhance carbon storage, water purification, water regulation and erosion mitigation ecosystem services. Moreover, the positive cumulative wealth impact of decarbonization would be approximately US$7.27 billion by 2050 while lifting an additional 3810 individuals out of poverty. From a public investment perspective, decarbonization would have a fiscally neutral impact with the economic benefits sufficient in magnitude to off-set policy implementation costs and generate economic returns of over US$852 million when changes in natural capital stocks and environmental quality are considered. This application to Costa Rica is the first integrated economy-wide analysis of a growing number of decarbonization plans globally. The IEEM+ESM approach provides an integrated framework for analyzing decarbonization plans and can be used to refine AFOLU mitigation strategies to capitalize on synergies and minimize negative trade-offs across the three dimensions of wealth and sustainable economic development, namely economy, society and the environment. • Decarbonization of Costa Rica's AFOLU will generate US$7.3 billion in wealth. • AFOLU decarbonization will be fiscally neutral and generate returns of US$852 million. • The methods can be applied to integrated analysis of decarbonization globally. [ABSTRACT FROM AUTHOR]

This study aims to unveil the heterogeneous impacts of import product diversification and institutional factors for achieving energy efficiency in Organization for Economic Co-operation and Development (OECD) countries. In doing so, the study employs robust econometric techniques such as Fully modified ordinary least squares (FMOLS) co-integration, pooled Ordinary Least Squares (OLS), Feasible Generalized Least Squares (FGLS), pool mean group regressions, fixed effects, and random effects for panel data from 1990 to 2015 for selected OECD countries. The detailed empirical outcomes suggest that import product diversification is conducive to reducing the energy and carbon intensity (improvement in energy efficiency) in OECD countries. The empirical conclusions provide various guidelines to achieve cleaner and greener growth and align with various Sustainable Development Goals (SDG 7: Affordable and clean energy, SDG 9: Industry, innovation, and infrastructure, and SDG 13: Climate action) of OECD countries. The paper elaborates fruitful policy suggestions regarding the diversification of imports and energy use-carbon emission-nexus for the OECD member nations. Based on the findings, policymakers and environmental scientists should strengthen the trade-energy and import portfolio policies to attain energy efficiency. [ABSTRACT FROM AUTHOR]

With less than 6 years left to achieve the global sustainable development goals (SDGs) by 2030, there is a growing urgency to increase the effectiveness of policy actions by targeting multiple SDGs. Mathematical modeling tools facilitate sustainability assessment in support of integrated policymaking. This study examines the interlinkages between the SDGs with commonly used and broadly applicable energy system models (ESMs) using the 248 indicators defined by the United Nations. The SDGs are classified under the environment (SDGs 6, 7, 12, 13, 14, 15), economy (SDGs 8, 9, 10, 11, 17), and society (SDGs 1, 2, 3, 4, 5, 16) domains governing the sustainability framework. The results ascertain that current ESMs are conceived to prioritize energy-related environmental indicators related to SDG7 (Affordable and Clean Energy), SDG12 (Responsible Consumption and Production) and SDG13 (Climate Action) with limited focus on non-energy indicators of the environmental domain, along with little to no coverage of SDGs-indicators allocated within the economic and social domains, respectively. The findings call for expanding the frontiers of ESMs to incorporate emerging systemic interdependencies that extend beyond the traditional "energy-environmental" nexus considering the multi-dimensional facets of sustainable development. For this purpose, a conceptual integrated framework was developed underscoring procedural protocols and technical directives to advance the ESMs-SDGs modeling paradigm through the application of methodological improvement opportunities. Theoretical and practical implications driven by policy and managerial perspectives were also discussed. In closure, this study can inform stakeholders about the gaps (sustainability issues and corresponding targets-indicators) that are imperative to address in modeling the SDGs and how to leverage existing ESMs into integrating a broader range of SDGs beyond traditional considerations. The improved outcomes are expected to facilitate integrated sustainable policy planning and formulation in pursuit of operationalizing the SDGs for the timely attainment of the 2030 agenda. [Display omitted] • Shortlisted ten commonly used and broadly applicable energy system models (ESMs). • Systematic interlinkages mapping among ESMs and SDGs using 248 indicators. • Ranked SDGs-indicators coverage within ESMs using a customized scoring system. • ESMs focus on energy-environmental indicators followed by economic and then social. • Proposed conceptual integrated framework for advancing ESMs-SDGs modeling paradigm. [ABSTRACT FROM AUTHOR]

A low-carbon future based on renewable energy systems is required to limit global warming to 1.5 °C above pre-industrial levels by the end of this century. However, economy-wide decarbonisation is projected to be highly material and energy intensive. Understanding the material-energy nexus through existing research would offer valuable insights for comprehensive resource management to achieve sustainable climate mitigation. This study provides the first systematic review of material-energy nexus literature published between 2002 and 2022, emphasising the interconnections and feedback loops between material and energy systems. The global knowledge-stock is comprehensively assessed regarding research focus, sustainability challenges, and corresponding circular economy strategies. Additionally, significant gaps in the research agenda and key policy implications for both material consuming-developed countries and producing-developing countries are proposed. Findings of this study underscore the vital role of international cooperation in managing primary and secondary material supply chains, grounded in the "common but differentiated responsibilities" principle under the Paris Agreement. Consuming-developed countries should support producing-developing countries in building renewable energy capacity, optimising energy saving technologies and measures, and adhering to high environmental standards for resources extraction and production. Meanwhile, both consuming-developed countries and producing-developing countries should take domestic mitigation measures. The former should focus on changing consumption behaviour, and the latter on increasing resource efficiency. [Display omitted] • M -E Nexus material focus moving from bulk materials to minor metals. • Demand-side energy efficiency equally important to renewable supply. • Metals co-production induce oversupply and undersupply of associated metals. • Reuse, repair, refurbish, remanufacture and repurpose are underrepresented. • Circular economy requires behavioural transition and economic incentives. [ABSTRACT FROM AUTHOR]

The global call to address climate change and advance sustainable development has created rapid growth in research, investment, and policymaking regarding the renewable energy transition of Indigenous communities. From a rightsholder perspective, Indigenous Peoples' vision of sustainability, autonomy, and sovereignty should guide research on their energy needs. In this paper, we present a multi-method, inductive examination to identify gaps between Indigenous communities' expressed needs and rights, and the questions researchers and policymakers investigate in energy transition research conducted in the context of Indigenous communities located in Canada. We combine a systematic review of the extant literature, a scoping review of the grey literature on off-grid communities by Indigenous and non-Indigenous governments and non-governmental policy bodies, qualitative primary data collected via fieldwork, and an in-depth study of an Indigenous-led renewable energy transition study conducted by Haíɫzaqv Nation's Climate Action Team. We holistically examine these different perspectives and identify emergent themes to recommend ways to bridge the gaps between off-grid renewable energy research and stated Indigenous community priorities. Specifically, we recommend designing equitable research practices, understanding community worldviews, developing holistic research goals, respecting Indigenous data sovereignty, and sharing or co-developing knowledge with communities to align with community priorities closely. • There is a research-practice gap in Indigenous communities' energy transitions. • We used a multi-method inquiry integrating Indigenous and Western approaches. • Renewable energy literature diverges from the Indigenous community vision and goals. • Indigenous research methods can reduce the research-practice gap in high-tech fields. • Community-based approaches can use traditional laws to yield actionable outcomes. [ABSTRACT FROM AUTHOR]

Rice, as a main crop, contributes to food security in Asia. However, its by-product, rice straw, poses challenges as it is often disposed of unsustainably. This research investigates the environmental performance of a 1000 m3 rice straw biogas pilot plant in Laguna, Philippines. A lifecycle assessment identified the climate change impact of the biogas system, straw burning and soil incorporation. In addition to GWP100, the global temperature potential's dynamic climate effects were assessed, including integrated radiative forcing and instantaneous temperature effects. The timeframe of the biogenic emission fluxes of rice production is particularly relevant as the sequestered CO 2 during plant growth is partly released as methane and CO 2 , depending on the straw management practices. Straw burning had the highest net emission impact. However, straw incorporation has the highest short-term radiative forcing and temperature increase. The biogas system provided significant short- and long-term GHG emission reduction of up to 68 % when biogas replaced burning or soil incorporation and the use of fossil fuels. Still, considerable uncertainties remain about fugitive methane emissions, handling and post-processing of the digestate. While single GHG emission figures on a GWP100 basis are useful for informing decision-making, this single-metric approach limits understanding of rice production's short- and long-term impacts. Additionally, our assessment emphasises the necessity for governance frameworks that promote sustainable practices in rice farming, as banning rice straw burning may result in less favourable outcomes from soil incorporation, whereas integrating biogas offers a solution benefiting rice-growing communities and global sustainability efforts. • Biogas from rice straw reduces emissions by up to 69 %. • Soil incorporation of straw has highest short-term (20 years) temperature increase. • Assessing more than one metric and timeframe supports more informed decision-making. • Governance frameworks enabling bioenergy integration support SDG 3, 7 and 13. [ABSTRACT FROM AUTHOR]

In a comprehensive analysis of the global transition towards renewable energy, the study revealed significant disparities in adoption rates and technological advancements across nations, while also underscoring the potential for an extensive shift in energy paradigms. Utilizing data from the renewable energy map scenario, findings indicate that renewable energy sources could command up to two-thirds of the global primary energy supply by 2050, a stark contrast to the modest 24% contribution predicted by the reference scenario. European Union countries, particularly Denmark and Germany, emerge as frontrunners in this transition, with impressive wind energy integrations and overall renewable mixes. In Asia, rapid strides are evident with countries such as China and India demonstrating an annual growth rate surpassing 30% in solar and wind sectors. The Americas, represented robustly by the United States, Canada, and Brazil, highlight a diverse renewable integration, each varying in their contributions. Meanwhile, Middle Eastern countries, are progressively diversifying their energy portfolios, and while Africa displays potential, the transition is constrained by infrastructural challenges. The study underscores the tangible global momentum towards renewable energy but emphasizes the continued disparities influenced by a myriad of geopolitical, technological, and economic determinants. The outcomes of this research not only elucidate the current state and trajectory of renewable energy adoption but also underscore the critical importance of tailored policies, investments, and collaborations to accelerate this global shift. [ABSTRACT FROM AUTHOR]

This empirical research investigates energy industry restructuring to accelerate the renewable energy transition. Moving away from fossil fuel reliance is critical for mitigating the climate emergency, reducing harmful pollution, and realizing many United Nations Sustainable Development Goals. This research combines economic and sustainability arguments to clarify government policy direction for restructuring toward a green transition. Findings show that more renewable energy innovation, reflected in patent counts, supports higher GDP. Moreover, pollution taxes facilitate renewable energy innovation, working together to effectively contribute to GDP. Also, government and industry support for fossil fuel industries negatively affects a country's renewable energy innovation. Thus, the theory and analysis of this work suggest that a robust economy is related to industry restructuring so that renewable energy innovation can thrive. Fostering novel scientific discoveries in clean energy innovation should be prioritized while reducing uncompetitive industry formations and organizations such as fossil fuel oligopolies and industry associations. [ABSTRACT FROM AUTHOR]

GEP (Generation Expansion Planning) is one of the most complex tasks in which planning is done to find the best possible distinct solutions to install new generating units to meet future load demands. This paper uses the Low Emission Analysis Platform (LEAP) software environment to analyse the GEP for the AP Power sector from 2021 to 2050. In recent years, the AP power sector has faced several issues, such as frequent service cuts due to power shortages. In this paper, five scenarios such as Business As Usual (BAU), Low Demand Growth (LDG), High Demand Growth (HDG), Least Cost Optimization (LCO) and Climate Mitigation Scenarios, have been analysed with environmental, technical, and economic parameters. This study has estimated the total environmental emissions and total cost of all scenarios. At present, Andhra Pradesh has a total installed capacity of 25.4 GW. The best scenarios can be selected based on environmental impact, cost-effectiveness, efficiency, and reliability. The results show that the LDG scenario will be an optimal choice for AP due to the state's economic crisis, and the government should also focus on energy conservation and limit demand growth to 4.5%. While presenting a general GEP, the study presents comprehensive system performance scenarios from which planners can choose. • Making a generation expansion planning • Making a sustainable environment • Presented a good solution for power generation • Analysed the total environmental emissions • Analysed the energy demands. [ABSTRACT FROM AUTHOR]

The present article sets out to examine the connection between energy transition and factors associated with renewable energy sources, buildings and other sectors, placing emphasis on France. The methodology includes: Collection of scholarly writings, classification, identification of research questions, bibliographic analysis, identification of important findings, discussion. The results of a study (EDF, Le nucléaire en chiffres) demonstrated that, in 2019, around 80% of the electricity production from nuclear energy (in France) was provided by 4 regions: Auvergne-Rhône-Alpes , Grand Est , Centre-Val de Loire , Normandie. France has a high dependence on nuclear power generation and, for this reason, renewable-energy penetration is an imperative part of the French energy transition. Numerous studies show that energy transition requires actions based on burgeoning and avant-garde technologies, and effective policies. Moreover, energy transition poses challenges: decisions on nuclear power plants, sustainable development of small-island economies, etc. A discussion on the energy transition in Corsica (France) is also provided. Regarding the French overseas territories Corse (Corsica), Guadeloupe , Martinique , Guyane , Mayotte , Réunion , the findings of a study (Rakotoson and Praene, 2017) demonstrate that thanks to renewable energy sources/network interconnection, Corsica and French Guiana have lower emissions in comparison to the other territories: 0.505 and 0.373 kg CO 2.eq /kWh e , respectively. • The role of renewable energy sources in energy transition has been analysed. • Factors related to buildings, industry, etc. have been discussed (emphasis: France). • France, 2019.→ ≈ 80 % of the nuclear electricity generation was provided by 4 regions • There are challenges such as energy storage and decisions on nuclear plants. • Corsica and French Guiana: emissions 0.505 and 0.373 kg CO 2.eq /kWh e , respectively. [ABSTRACT FROM AUTHOR]

Carbon emission reduction in China matters to global climate change mitigation. China has been experiencing extensive land changes, which profoundly influence terrestrial ecosystem carbon storage (TECS) and carbon emissions. Scholars have predicted influences of land changes on TECS in China with scenarios obtained from global integrated assessment models (IAMs), which lack national details. Moreover, universally existing variations in land-use intensity have not been considered when estimating influences on TECS. This study simulated changes of land-use intensity of China from 2000 to 2050 using CLUMondo under China-specified policies for sustainable development modeled by a national IAM named Threshold21-China. We proposed a more precise TECS estimation method by distinguishing land-vegetation and land-soil types. Results demonstrated that under scenario with preceding policies, the total TECS can increase by 865.5 Tg C from 2000 to 2050. Through implementing preceding policies, TECS loss by conversions from cultivated land to artificial surfaces can decline by 82 Tg C, and new TECS accumulated by increased and densified forests can increase by 73 Tg C. Mountainous and rapidly urbanizing regions are sensitively influenced and need more restrict land change management policies. This study demonstrates the significance of sustainable development policies for TECS conservation and indicates specific critical regions. • Introducing national IAM into land change simulation. • Considering land-use intensities in land change simulation. • Proposing an improved TECS estimation method. • Estimating influences of land changes on China's TECS. • TECS accumulation could be improved under sustainable policies. [ABSTRACT FROM AUTHOR]

• Restoration initiatives would benefit from implementing strategic adaptive management • Restoration initiatives should incorporate sustainable human livelihood-driven outcomes • Restoration should be approached as a component of wider economic development • In restoration, human well-being is equally important as biodiversity conservation Land use change, coupled with rapid human population growth, has increased ecosystem degradation, giving rise to ecosystem restoration initiatives worldwide. We conducted an assessment and reflection using a feedback framework for strategic adaptive management in three woodland restoration initiatives in South Africa. This is because assessment and reflection are critical components for successful strategic adaptive management. We found that the three restoration initiatives have had a limited emphasis on sustainable livelihood-driven outcomes, because the initiatives mainly aimed to restore biodiversity, ecosystem infrastructure and ecosystem services. Consequently, we propose a modified livelihood framework that suggests a more inclusive approach towards achieving positive human outcome-driven restoration of degraded woodlands. Based on the framework, we emphasise that restoration initiatives should seek to invest in ecosystem restoration in the context of sustainable development goals, to enhance people's livelihoods, and climate change mitigation and adaptation. Harmonizing the competing needs for resource allocation, sustainable interventions and livelihoods sustenance will be important, given the limited extent of alternative locally based livelihood options in the rural disadvantaged areas. This is because most of the rural population is largely dependent on woodland ecosystem services for their livelihoods. We then suggest that to ensure that human-driven outcomes are also equally prioritised; the assessment, reflection and feedback framework and the livelihoods framework should form part of restoration initiatives. [ABSTRACT FROM AUTHOR]

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]

Environmental deterioration brought on by the top ten greenhouse gas emitters is a critical worldwide issue with far-reaching ramifications for global economic sustainability. The main purpose of this research is to explore the link between economic growth, energy consumption, trade openness, and environmental factors with a focus on achieving carbon neutrality without compromising economic growth in the top ten emitting countries by employing a dynamic STIRPAT modeling technique. The data used in this research was taken from various sources, such as the International Energy Agency and the World Bank. The research found a robust association between energy consumption and economic growth, with a correlation coefficient of 0.87. The results revealed that carbon emissions (CO 2) are positively related to per capita gross domestic product (PGDP), cubic GDP (G D P 3 ), international tourism arrivals (Tour) and energy consumption (EC), while negatively related to trade openness (TO) and squared GDP (G D P 2 ) in the top ten emitting countries, confirming the N shaped Kuznets curve hypothesis. Trade liberalization also impacted emissions with a coefficient of 0.65 (p < 0.01). The findings suggest that in order to simultaneously achieve carbon neutrality and continue economic development, it is imperative for the major polluting countries to embrace renewable energy sources and enact environmentally beneficial trade and economic measures. [Display omitted] • The study highlights collaboration for carbon neutrality and economic growth. • Results suggest a balance between carbon neutrality & economic vitality. • Renewable energy can drive economic growth while reducing emissions. • Results are policy relevant in achieving carbon neutrality. • The study validates the N shape Kuznets curve hypothesis. [ABSTRACT FROM AUTHOR]

In this critical decade for climate action, rapid and far-reaching transitions depend on the choices and actions that are taken now and in the near-term. Integrated approaches that advance the sustainable development of energy, water and environment systems have crucial roles in enabling shifts in direction and better protecting the life-support systems of the planet. In its second decade, the Conferences on Sustainable Development of Energy, Water and Environment Systems encompassed the 5th South East European, 3rd Latin American, and 17th Conferences, continuing to provide scientific advances to support progress. The thematic review in the synthesis of this editorial contains eight themes that interconnect the 28 original research articles in this special issue with the most recent contributions. The first theme of renewable energy systems and optimised flexibility contains new advances in energy modelling for carbon neutrality, flexible cooling, green hydrogen for sector coupling, and a colocation index for wind and wave energy. Urban energy systems and energy communities involve an emphasis on replacing gas boilers and utilising waste heat, solar-assisted district heating networks, local energy communities, and addressing energy and transport poverty. New advances within the energy-water nexus focus on the energy and water footprints of data center operation and efficient energy production from wastewater treatment. Boosting solar energy utilisation is supported by advances in the spatial dimension of solar photovoltaic planning and photothermal conversion performance. Innovative energy storage and circular resource use are other themes, involving adiabatic compressed air energy storage, road thermal collectors for sustainable heating, sensible heat storage for carbon–neutral greenhouses, valorising waste residues, and plasma gasification. For energy management and system efficiency, load management, deep reinforcement learning, control strategies and optimisation, and combustion processes are among the advances. A focus on advancing technology development and deployment completes the special issue based on new heat exchanger designs with inspiration from nature, high-temperature heat pumps in the industry, and advances in hydrogen technologies and deployment. The future depends on succeeding for the climate collectively and championing system integration. [ABSTRACT FROM AUTHOR]

• Nature-based Solutions (NbS) in Himalayas has sustainable management and restoration of resources. • Most of the NbS of Himalaya adheres the IUCN standard criteria. • Improved NbS interventions in Himalaya requires precise planning and engaging multiple stakeholders. Himalayan countries face many ecological challenges, including biodiversity loss and the many threats of climate change. In response, these countries are implementing Nature-based Solution to minimize these challenges and promote sustainable development. In this article we analyze the NbS programs implemented across the Himalayan region and assess the limitations of these NbS using the IUCN standard criteria of adherence to NbS for selected articles. We perform a systematic review of articles using the PRISMA methodology, through the Scopus, Google Scholar, and ResearchGate databases and followed by screening through the Rayyan web interface. Articles were screened out based on the location and lack of biodiversity and human well-being outcomes of NbS intervention. Nature-based Solutions in the Himalayas primarily use a sustainable management approach (35.29%), followed by restoration (23.53%), conservation (11.76%), holistic management (11.76%), eco-DRR (11.76%) and green infrastructure (5.88%) to address societal and climatic challenges. Institutional execution of NbS was 29.41% more common compared to the implementation of NbS by community or farmer groups. Pineapple based agroforestry (83.04%), forest restoration (78.57%), spring water storage (83.04%), spring restoration (86.61%), groundwater recharge (82.14%), bio-fertilizer and pesticides (77.68%), watershed restoration (78.57%), community-based watershed management (77.68%), community-based DRR (81.25%), community-based forest management (81.25%), sustainable harvest of medicinal plants (77.68%) and wetland restoration (82.14%), adhere to the IUCN criteria. In addition, some interventions adequately meet IUCN criteria, such as ice stupas (72.32%), forest restoration through plantation (73.21%), eco-safe roads (65.18), blue-green infrastructure (68.75%), and traditional ecological knowledge (72.32%). Our evaluation noted that NbS interventions can be improved by precise planning and design before implementation, engaging multiple stakeholders, comparing alternative solutions, and periodic monitoring of the impacts on the environment and society. This study shows that NbS in the Himalayas are contributing to biodiversity conservation and climate risk management. Tackling the limitation of this present review, mainly the exclusion of research not addressing biodiversity and human well-being, will yield more precise outcomes for climate actions and sustainable development. [ABSTRACT FROM AUTHOR]

• Carbon efficiency and abatement costs of the PLEEZ are estimated. • The regional heterogeneity among the three major types of functional zones in the PLEEZ are analyzed. • Major agriculture production zone has a higher carbon efficiency and lowest abatement costs in the PLEEZ. • The global non-radial directional distance function and its dual model are used. In this paper we investigate the carbon efficiency and abatement cost for different main functional regions in China, to test whether major agriculture production zone has higher carbon efficiency and abatement cost than other functional regions. For this purpose, we use a global non-radial distance function to examine the efficiency and abatement cost of carbon emissions and take China's Poyang Lake Ecological Economics Zone (PLEEZ), one of China's national strategy for sustainable development, as an empirical study. By using the non-radial efficiency model, the carbon emissions efficiency indicator can be constructed. By employing the dual model of the non-radial directional distance function, the shadow prices of carbon emissions, which is interpreted as marginal abatement cost can be derived. County level data from 2009 to 2013 of the PLEEZ is used as the empirical investigation. Empirical results show that the CO 2 emissions of the PLEEZ are not performing efficiently and the CO 2 emissions efficiency remains at a very low level with an average value of 0.279. Meanwhile, the shadow prices of CO 2 emissions are calculated, with a mean value of 11.867 yuan per ton, which is relatively low compared with other previous studies of different regions or industry and indicate that carbon emissions are not strictly regulated. Moreover, significant heterogeneities in the carbon efficiency and abatement cost are found among three major functional zones in the PLEEZ remain. Major agriculture production zone shows better carbon efficiency than key ecological function zone, but lower than key economic development zone. It is also found carbon abatement cost of major agriculture production zone is lower than key economic development zone indicating the less pressure under climate change mitigation. [ABSTRACT FROM AUTHOR]

Paris Agreement, signed in 2015 by 195 countries around the world as a measure to stop and reverse the consequences of global warming and promote Sustainable Development (SD), sets out strategies for reducing greenhouse gases and the Agenda 2030, which contains the 17 Sustainable Development Goals (SDGs). The participating countries of these agreements are demanded to develop public policies that incorporate the signed commitments. Regarding this issue, a topic of great importance is solid waste management. To decrease the generation of waste through prevention, reduction, recycling, and reuse become fundamental. Landfill Mining (LM) is presented as a strategic tool that, if established properly within waste management public policies, it can contribute to SD and mitigation of climate change. This article reviews more than a hundred projects carried out in North America, Europe, Asia and the Middle East, which were cataloged according to the objectives they attended. Economic, social and environmental benefits and their relations with the compliance of SDGs are discussed. • From 112 projects worldwide, none were from Latin America, Africa and Australia. • Most projects were initiated by the public sector. • Landfill mining is considered as a strategic tool to accomplish 11 of the 17 SDGs. [ABSTRACT FROM AUTHOR]

A dramatic expansion of the worldwide wind power capacity is underway which is critical to an effective mitigation of climate change. However, wind tower infrastructure is susceptible to extreme weather conditions such as tropical cyclones and thunderstorms. Under the context of global climate changes and intense weather events, it is imperative to assess the impacts of extreme conditions on the susceptibility of the global wind power with important implications on energy security and power system resilience. In this paper, we discuss the necessity and rationality of wind power deployment considering extreme weather perspectives on enhancing the global sustainability, security, economics, and resilience. We assess the vulnerability of wind power to extreme weather events under climate change and present the correlation of wind power proliferation, extreme weather events, and climate change issues. Our results indicate that, if extreme wind speed increases by 20% considering a 50-year return wind speed and load safety factor is changed from 1.35 to 1.7, the initial capital cost of wind unit installation by the end of this century could increase by about 12% because of the higher strength in tropical cyclones. In this period, upward lightning strike will be intensified due to the use of taller wind turbines and higher angular speed of blades. Also, additional storm surges and sea ices will potentially cause higher risks to inland and offshore wind tower structures and foundations because of the continuously rising sea levels. It is confirmed in our discussion that the proliferation of wind power generation would be beneficial despite its vulnerabilities by curbing the use of fossil-based power generation units, mitigating severe carbon emission, and reducing climatic changes and extreme weather events, which could also cause significant structural damages to wind turbines installations globally. The article concludes that it is vital in the scientific community to further analyze the relationship among global wind energy integration, extreme weather events, and climate changes, and for politicians to formulate a comprehensive energy policy strategy, as engineers continue to investigate the means of deploying additional inland and offshore wind farms and consider other types of renewable energy resources with a direct link with weather conditions, for a sustainable, economic, secure, and resilient energy production. [ABSTRACT FROM AUTHOR]

While climate change mitigation agenda and energy governance are the central concerns of climatologists and energy-environmental scientists, the mainstream literature seems silent on whether a decentralized governance structure is desirable for complex economic systems and governmental intervention approaches to realize sustainable environments. To frame this critical research gap, we investigate the contribution of fiscal decentralization in moderating the influence of economic complexity and government intervention on energy and carbon efficiency in the presence of real GDP per capita. We employ a panel method of moments quantile regression (MQR) on data from selected seven fiscally decentralized OECD countries over the 1995–2018 period. The empirical results uncovered that economic complexity causes a drop in energy efficiency (at 1, 5, and 10% significance levels), with a more magnified effect in countries with low environmental sustainability levels. Conversely, our findings exerted that government intervention discourages energy and carbon intensity (at diversified significance levels as per probability scores of 0.01, 0.05, and 0.10), with heterogeneous degrees of impact across diversified model specifications. Regarding direct influence, our outcomes exhibited that expenditure and revenue decentralization aid in energy and carbon efficiency. Concerning moderation effects, expenditure and revenue decentralization successfully rejuvenate the environmental sustainability effects of economic complexity and government intervention (at 1 and 5% significance levels). Finally, our study gauged that the EKC phenomenon exists among the sampled OECD members, indicating that economic growth in the region will be the driving force behind the region's long-term environmental sustainability. Estimation results are robust to the alternative dependent variable, carbon intensity and alternative econometric technique, ordinary least squares with Driscoll-Kraay standard errors. A fiscally decentralized paradigm is desirable from a policy standpoint for government intervention in complex economies to realize environmental sustainability goals. [Display omitted] • Employed a novel Method of Moments Panel Quantile Regression. • Economic complexity directly impedes ecological sustainability. • Government intervention directly improves ecological sustainability. • For decentralized governance, economic complexity achieves ecological sustainability. • Fiscal decentralization negatively moderates the government intervention-environment link. [ABSTRACT FROM AUTHOR]

Extreme weather and climate events tend to increase and strengthen as global warming intensifies, which severely affect human life and sustainable economic development. Therefore, based on the Detection and Attribution Model Intercomparison Project (DAMIP) and the Land Use Model Intercomparison Project (LUMIP) provided by the Coupled Model Intercomparison Project phase 6 (CMIP6), the optimal fingerprinting method is applied to quantify the greenhouse gases (GHG), aerosols (AA), natural forcing (NAT), and land use/cover change (LUCC) contributions to the intensity, frequency, and duration of extreme temperatures in China during 1960—2020. The results show that GHG is the main driver of extreme temperature changes in China, except for ice days (ID0) and cold spells (CSDI). GHG causes an increase in warm spells (WSDI) by about 10 days and an extension of the growing season length (GSL) by 6 to 8 days. The Tibetan Plateau is the region with the strongest extreme temperature changes influenced by GHG. AA forcing has a cooling effect that partially offsets the warming effect of GHG, especially in southeastern China. It should be pointed out that AA forcing is also the main driver for the changes in diurnal temperature range (DTR) in southeastern China, which exceeds the GHG contribution. Additionally, LUCC has greater impact in nighttime extreme temperature indices changes than the regional AA, and becomes the second dominant factor beside GHG. LUCC leads to an attributable cooling contribution of 0.34 °C for the maximum of daily minimum temperatures (TNx). Spatially, the LUCC effects on extreme temperature changes are stronger in western China than in eastern China. The more robust estimation of the GHG, AA, NAT, and LUCC contributions over distinct regions provides an advanced understanding of anthropogenic impacts on regional extreme temperatures, which is expected to be an important reference for regional climate change adaptation and mitigation. [Display omitted] • Tibetan Plateau is the region with the strongest extreme temperature changes influenced by greenhouse gases (GHG). • GHG displays a nonuniformity effect on the changes in the extreme temperature frequency. • Land use/cover change (LUCC) has a stronger role in nighttime extreme temperature indices changes than the regional AA. • The LUCC effects on extreme temperature changes are stronger in western China than in eastern China • The LUCC effects on extreme temperature show asymmetrical characteristics. [ABSTRACT FROM AUTHOR]

The energy transition is at the core of sustainable development as it helps to combat global warming and climate change. Similarly, carbon markets also support the climate change mitigation. Therefore, by realizing the potential role of clean energy and carbon markets in ensuring environmental sustainability, this study analyzes the spillovers and connectedness between the environment (global carbon) and renewable energy sources (wind, solar, geothermal, biofuel, and fuel cell). The empirical analysis is conducted by applying the novel "TVP-VAR" connectedness framework of Balcilar et al. (2021) on the daily data over the period from August 1, 2014, to February 4, 2022. The findings show that solar and biofuel appear as the highest net shock transmitter among alternative renewable sources while global carbon is shown as the net receiver of shocks. The largest transmission of shocks to global carbon is observed from wind followed by solar. Although these findings support the connectedness between renewable energy and the environment, however this connectedness is influenced by economic crises such as the oil crisis and pandemic crisis. During COVID-19, the fuel cell was the highest transmitter of shocks. The results are important for policy formulation, investment, and portfolio management as they provide insights into the interconnectedness and help in boosting climate actions. [ABSTRACT FROM AUTHOR]

The Sustainable Development Goals (SDGs) were introduced to the world in 2015 to provide a roadmap for development in domains, such as poverty reduction, health, education, clean water and sanitation, affordable and clean energy, and climate action. Among the domains that must be worked on to reach the SDGs, waste management in the present day Built Environment (BE) is a domain that has been found to be significantly involved in achieving the SDGs and ensuring a sustainable future. Addressing the significance of this observation, the review aims to provide an overview of the current environmental and social factors related to waste management in the BE, identifies how waste management is important in achieving each SDG, and discusses key challenges and opportunities regarding the waste sector along with innovative approaches to waste management. Furthermore, the review presents cooperative game theory as a tool for providing models for the better identification of gaps in the compliance of waste laws and potential predictions of the future behaviour of the generators and handlers of waste to make better policies regarding waste management in the BE by considering SDGs as a guiding tool. • Waste management in the built environment (BE) is significant for achieving SDGs. • Nexus established between SDG and waste management in the BE. • Innovative approaches to waste management are highlighted. • Waste law compliance using cooperative game theory can be predicted. [ABSTRACT FROM AUTHOR]

Abstract Climate change is poised to exacerbate coastal erosion. Recent research has presented a novel strategy to tackle this issue: dual wave farms, i.e., arrays of wave energy converters with the dual function of carbon-free energy generation and coastal erosion mitigation. However, the implications of sea level rise – another consequence of climate change – for the effectiveness of wave farms as coastal defence elements against shoreline erosion have not been studied so far. The objective of this work is to investigate how the coastal defence performance of a dual wave farm is affected by sea level rise through a case study (Playa Granada, southern Iberian Peninsula). To this end, a spectral wave propagation model, a longshore sediment transport formulation and a one-line model are combined to obtain the final subaerial beach areas for three sea level rise scenarios: the present situation, an optimistic and a pessimistic projection. These scenarios were modelled with and without the wave farm to assess its effects. We find that the dual wave farm reduces erosion and promotes accretion regardless of the sea level rise scenario considered. In the case of westerly storms, the dual wave farm is particularly effective: erosion is transformed into accretion. In general, and importantly, sea level rise strengthens the effectiveness of the dual wave farm as a coastal protection mechanism. This fact enhances the competitiveness of wave farms as coastal defence elements. Highlights • Dual wave farms for renewable energy production and coastal protection. • Assessment of the performance of dual wave farms under sea level rise (SLR). • SLR strengthens the effectiveness of wave farms as coastal defence mechanisms. • Better strategy for mitigation of climate change than hard engineering solutions. [ABSTRACT FROM AUTHOR]

Abstract Climate-smart agriculture (CSA) conceptually has the potential to contribute to the sustainable development goals of achieving zero hunger, reducing land degradation, eliminating poverty, tackling climate change, and promoting gender equality. The scaling-up needed to achieve goals of CSA represents a challenge, as it entails understanding synergies between often opposing socioeconomic and environmental priorities and trade-offs over temporal and spatial scales. In this paper, we tested new approaches to support scaling-up of sustainable food production through investigating the contribution of systems thinking as a conceptual approach and complex adaptive system (CAS) attributes as a framework for analysis of CSA. This was done through examining (i) to what extent CSA represents a CAS and (ii) what contribution systems thinking and CAS attributes can make to understanding and scaling-up sustainable food production systems through CSA. The CSA situation was conceptualized through systems thinking sessions with women farmers in the climate-smart village (CSV) of Doggoh-Jirapa, northern Ghana, and was guided by the Distinctions, Systems, Relationships and Perspectives (DSRP) framework. Systems thinking, and CAS attributes provide system-wide understanding of elements, dynamics and trade-offs over temporal and spatial scale in selected agri-food systems. As such it could aid horizontal and vertical scaling-up by informing policy developoment and selection of a context-specific portfolio of technologies and practices at landscape and farm levels to achieve synergies between goals. In this study, systems thinking enabled women farmers in the CSV to identify income-generating and tree planting activities, with desirable simultaneous system-wide impact. The paper calls for further testing of tools, approaches, and methods that enable dynamic systems thinking to inform scaling-up efforts, while embracing the transdisciplinary nature and complexity of CSA as a constituent of the food production system. Highlights • Climate-smart agriculture (CSA) represents a highly complex adaptive system (CAS). • Systems thinking (ST) allowed "seeing" CSA from the women farmers' perspectives. • ST and CAS supported selecting actions to achieve desirable system-wide impact. • CAS and ST produced evidence as to what worked and why to inform scaling-up CSA. [ABSTRACT FROM AUTHOR]

Abstract The sustainable mobility paradigm has dominated the urban transport research agenda for more than a decade. This paradigm focuses on the environmental impacts of travel and the imperative for climate change mitigation, however the specific outcomes of transport in terms of trip type and purpose are not robustly conceptualised, with limited intellectual foundations to understand the ethical considerations of transport service provision. This paper critically considers transport strategies recently developed for London's Night Time Economy, including policy discourse and technical approaches that shape of transport services provision at night. The case study evaluates the spatiotemporal dimensions of equity. Analysis of policy discourses revealed how night time transport are conceived as an instrumental means to grow the 'Night Time Economy', drawing from the conventional wisdom linking accessibility improvements with economic expansion. This strategy viewed 'London at night' as a vehicle for economic development, focusing on the consumption-side of the economy and improving individuals' access to entertainment and recreation. Policy discourse recognised the existence of night-time workers in sectors outside arts and recreation, however, attempts to broaden the 'Night Time Economy' agenda to accommodate the travel needs of night-time workers were lost through the narrow selection of accessibility metrics used in transport planning practice. This case demonstrates a missed opportunity to improve transport equity across spatial and temporal dimensions, as night-time workers face severe accessibility barriers, often relying on low-frequency bus services that have inadequate service coverage across Greater London. Scrutinising socio-spatial and temporal dimensions of transport provision can advance more systematic critical perspectives on transport equity by integrating a variety of distributional issues and linking more closely to the practical barriers faced by night-time workers to access transport. [ABSTRACT FROM AUTHOR]

Abstract The rapid global growth in the use of renewable energy to reduce GHG emissions and mitigate climate change, through the inclusion of large amounts of PV and wind in existing electricity grids, has highlighted certain challenges. Most critically, their intermittent supply, necessitates flexible dispatchability from other generators in the grid. Currently, few renewable energy technologies offer this dispatchability, with only concentrating solar power (CSP) offering storage. CSP generates electricity from thermal heat, similar to fossil-driven thermal power plants, with the heat-source being inexhaustible concentrated solar irradiance. The thermal process, however, requires cooling, best achieved with a finite resource; water. CSP is ideally suited to areas of high solar irradiation, typically arid and water stressed. The need for water as a source of cooling is often neglected in the planning and development of CSP. This paper identifies water as a constraint to CSP deployment, and explores CSP's potential contribution to generation through the lens of the water-energy nexus. This aids our understanding of how water availability threatens expected CSP production capacity and places natural limits on its sustainable development. For strategic planning of CSP, we therefore propose the inclusion of integrated water resource management in CSP energy infrastructure planning. Highlights • Identify and explain the dependence of CSP on water as a limited resource. • Highlight disparity between co-location of high DNI and lack of water resources. • Highlight impact of variability of water resources on existing thermal power plants. • Identify lack of water resource consideration in CSP deployment planning. • Suggested integration of water resource management into CSP deployment planning. [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]

Highlights • Processing mechanisms and modeling of GI to treat stormwater were provided. • Applications and Hydrological benefits of GIs around the different nations were reviewed. • Barriers and Strategies for promoting worldwide utilization of GIs were collected. Abstract Green Infrastructure (GI) is considered to be an innovative stormwater management approach that offers numerous other environmental benefits including reduction in air pollution and climate change mitigation compared with conventional gray infrastructures, and it has been gradually accepted and used worldwide. This review mainly focuses on the hydrological aspect of GI and provides a summary of the knowledge about GI as a stormwater management alternative. In this review, we discuss the operating mechanisms of a few widely-used GIs in the aspect of stormwater management. We critically examine policies for promoting GI implementation in some countries, including the sponge city in China and water sensitive urban design (WSUD) in Australia, and review the effectiveness of GI on treating stormwater quantity in real world applications. In addition, we also used Bibliometrics to analyze the GI research trends and found GI has been popular in an increasing number of countries and regions, which China has the greatest future growth potential in GIs research. Moreover, many barriers impeding the further development of GI and strategies to overcome these barriers are also summarized. This review gathers knowledge from many sources to provide an overview of GI to better understand its mechanisms and applications, and to highlight the areas that require future study. [ABSTRACT FROM AUTHOR]

Global firms are increasingly adopting greenhouse gas mitigation targets in response to climate change. These targets serve as a spur for carbon mitigation initiatives, provide guidelines to select appropriate mitigation actions, and set the standards to measure the progress of the mitigation efforts. Despite their important functionalities, firm-level mitigation targets have rarely been studied. In this paper we aim to provide a comparative view on mitigation targets set by global firms across different countries and industrial sectors. The analysis focuses on four dimensions, i.e., adoption, metric, scope, and stringency. We find Japan far leads the other major countries in terms of target adoption, but the targets of Japanese firms are generally less stringent. Canadian firms are laggards in both target adoption and target stringency. The mitigation targets are also considerably uncommon among Australian firms. Firms in developing countries fall behind in target stringency and display a significantly greater divergence than developed countries in sectoral adoption rate. The European Union firms are most likely to cover the emissions in their supply chains in targets. Target stringency has substantially tightened from 2005 to 2012. For all the countries in this study, around 95% of the firm-level targets are more stringent than the Intended Nationally Determined Contributions submitted to the Paris Agreement. Setting mitigation target has a significant positive impact on both the likelihood of investing in renewable energy and the amount of investment in renewable energy. However, there is no evidence that more stringent targets lead to higher investment. These findings point to the most pressing issues with regard to corporate mitigation target-setting that policymakers and corporate management should address. [ABSTRACT FROM AUTHOR]

Understanding anticipated climate-induced changes in the global wind-wave climate is paramount for sustainable development of coastal and ocean industry-operations, resources, ecosystems and for the mitigation of potential impacts on coastal settlements. Intensive research has been placed into global and regional wave climate projections over the past 10 years, but no systematic review has been conducted to date. Here, we present a consensus-based analysis of 91 published global and regional scale wind-wave climate projection studies to establish consistent patterns of impacts of global warming on the wind-wave climate across the globe. Furthermore, we critically discuss research efforts, current limitations and identify opportunities within the existing community ensemble of projections to resolve various sources of uncertainty amongst the sparsely sampled set of future scenarios. We find consensus amongst studies regarding an increase of the mean significant wave height H ¯ s across the Southern Ocean, tropical eastern Pacific and Baltic Sea, and conversely, a decrease of H ¯ s over the North Atlantic and Mediterranean Sea. Furthermore, we observe that projections of H ¯ s over the eastern north Pacific and southern Indian and Atlantic Oceans lack consensus. Similarly, future projections of extreme H s lack consensus everywhere, except for the Southern Ocean and North Atlantic. We note a distinct lack of research regarding projected changes in wave direction which is of critical importance particularly for the mitigation of coastal hazards. Furthermore, we observe that the projection uncertainty surrounding wind-wave climate projections has been poorly sampled. Subsequently, we identify sets of coordinated experiments within existing studies that can be used as a basis to systematically quantify these uncertainties. Lastly, we recommend a shift towards a systematic, community-based framework (as propose by the COWCLIP) to foster concerted efforts and to better inform the wide range of relevant decisions across ocean and coastal adaption and mitigation assessments. [ABSTRACT FROM AUTHOR]

• Shadings at crop level under different agrivoltaic system configurations are modelled. • Photosynthetically active radiation (PAR) distribution at the crop level is modelled. • The agrivoltaic configurations showed a variation of light homogeneity from 86 % to 95 %. • Yearly cumulative PAR reduction varies from 11 % to 21 %. • The two-axis agrivoltaic system showed the highest light homogeneity and lowest yearly PAR reduction at one location. Agrivoltaic systems are becoming increasingly popular as a crucial technology for attaining multiple sustainable development goals, such as affordable and clean energy, zero hunger, clean water and sanitation, and climate action. However, a comprehensive understanding of the shading effects on crops is essential for choosing an optimal agrivoltaic system, as an incorrect choice can result in significant crop yield reductions. In this study, fixed vertical, one-axis tracking, and two-axis tracking photovoltaic arrays were developed for agrivoltaic applications to analyse the shading conditions on the ground used for crop production. The models demonstrated remarkable accuracy in comparison to commercial software such as PVsyst® and SketchUp®. These models will help to reduce crop yield uncertainty under agrivoltaic systems by providing accurate photosynthetically active radiation distribution at the crop level. The photosynthetically active radiation distribution was further analysed using a light homogeneity index, and the results showed that homogeneity and photosynthetically active radiation reduction varied significantly depending on the agrivoltaic system design, ranging from 86% to 95%, and 11% to 22%, respectively. Studying the effect of shading with distribution analysis is crucial for identifying the most suitable agrivoltaic system layout for specific crops and geographical locations. [ABSTRACT FROM AUTHOR]

The residential sector has been targeted as the one with a huge potential for reducing carbon emissions. In order to determine the present carbon footprint and the potential for achieving carbon neutrality, the study examines electricity consumption in average households, whose electricity is supplied by their national power grids. 31 European countries (27 EU and 4 non-EU countries) were included in this analysis. Our results indicate that the annual carbon emissions of these average households range from 0.09 to 6.44 tCO 2 e (1.36 tCO 2 e on average), depending on a country. In addition, the calculated electricity costs per tCO 2 e emission for an average household vary significantly (from 94 to 10,135 EUR/tCO 2 e).Carbon offsetting is a mechanism which enables households to achieve carbon neutrality, i.e. households can compensate for the emissions caused by their electricity consumption by purchasing voluntary carbon offsets. This study also analyses the financial implications of purchasing voluntary carbon offsets. The results indicate that voluntary carbon offsets do not burden household budgets significantly because their share in total electricity costs is small. European households, particularly those in countries where electricity is more expensive, can comfortably achieve carbon neutrality with voluntary carbon offsets. In this way, they can contribute to global sustainable development. [Display omitted] • Average carbon footprint of grid-connected household in Europe is less than 2 tCO2e. • The cost of electricity per CO2 emissions varies from 94 to 10,135 EUR/tCO2. • Voluntary carbon offset costs in electricity costs vary widely across Europe. • Carbon offsetting is a practical solution for achieving a carbon-neutral household. [ABSTRACT FROM AUTHOR]

Malaysia has a plethora of biomass that can be utilized in a sustainable manner to produce bio-products for circular green economy. At the 15th Conference of Parties in Copenhagen, Malaysia stated to voluntarily reduce its emissions intensity of gross domestic product by upto 40% by 2020 from 2005 level. Natural resources e.g. forestry and agricultural resources will attribute in achieving these goals. This paper investigates optimum bio-based systems, such as bioenergy and biorefinery, and their prospects in sustainable development in Malaysia, while analyzing comparable cases globally. Palm oil industry will continue to play a major role in deriving products and contributing to gross national income in Malaysia. Based on the current processing capacity, one tonne of crude palm oil (CPO) production is associated with nine tonnes of biomass generation. Local businesses tend to focus on products with low-risk that enjoy subsidies, e.g. Feed-in-Tariff, such as bioenergy, biogas, etc. CPO biomass is utilized to produce biogas, pellets, dried long fibre and bio-fertilizer and recycle water. It is envisaged that co-production of bio-based products, food and pharmaceutical ingredients, fine, specialty and platform chemicals, polymers, alongside biofuel and bioenergy from biomass is possible to achieve overall sustainability by the replacement of fossil resources. Inception of process integration gives prominent innovative biorefinery configurations, an example demonstrated recently, via extraction of recyclable, metal, high value chemical (levulinic acid), fuel, electricity and bio-fertilizer from municipal solid waste or urban waste. Levulinic acid yield by only 5 wt% of waste feedstock gives 1.5 fold increase in profitability and eliminates the need for subsidies such as gate fees paid by local authority to waste processor. Unsustainable practices include consumable food wastage, end-of-pipe cleaning and linear economy that must be replaced by sustainable production and consumption, source segregation and process integration, and product longevity and circular economy. [ABSTRACT FROM AUTHOR]

Local climate action is not only a domain of large cities, but also smaller urban areas that increasingly address climate change mitigation in their policy. The Danish municipality of Helsingør can achieve a substantial CO 2 emissions reduction by transforming its heat supply and deploying heat savings. In this paper, we model the heating system of Helsingør, assess it from a simple socio- and private-economic perspective, develop future scenarios, and conduct an iterative process to derive a cost-optimal mix between district heating, individual heating and heat savings. The results show that in 2030 it is cost-optimal to reduce the heating demand by 20–39% by implementing heat savings, to deploy 32%–41% of district heating and to reduce heating-related CO 2 emissions by up to 95% in comparison to current emissions. In 2050, the cost-optimal share of district heating in Helsingør increases to between 38 and 44%. The resulting average heating costs and CO 2 emissions are found to be sensitive to biomass and electricity price. Although the findings of the study are mainly applicable for Helsingør, the combined use of the Least Cost Tool and modelling with energyPRO is useful in planning of heating and/or cooling supply for different demand configurations, geographical region and scale. [ABSTRACT FROM AUTHOR]

This study aims to assess the technical and economic potential of concentrating solar power (CSP) generation in India. The potential of CSP systems is estimated on the basis of a detailed solar radiation and land resource assessment in 591 districts across the country. The land suitability, favorable solar resource conditions and wind power density over the vicinity have been considered key parameters for potential estimation. On the basis of a district-wise solar and land resource assessment, the technical potential of CSP systems is estimated over 1500 GW at an annual direct normal irradiance (DNI) over 1800 kWh/m 2 and wind power density (WPD) ≥150 W/m 2 after taking into accounts the viability of different CSP technologies and land suitability criteria. The economic potential of CSP is estimated at 571 GW at an annual DNI over 2000 kWh/m 2 and WPD≥150 W/m 2 in India. The technical evaluation of CSP technologies over the potential locations have been carried through System Advisor Model (SAM) Software using the Typical Meteorological Year data of Meteonorm 7.0 weather database. In near future, it is anticipated that locations with DNI values ≥1600–1800 kWh/m 2 could also become economically feasible with the development of new technologies, advancement of materials, efficient and cost-effective thermal energy storage, economy of scale, manufacturing capability along with the enhanced policy measures, etc. In the long-term, it is possible to exploit over 2700 GW solar power through CSP in India with an annual DNI ≥1600 kWh/m 2 and WPD≥150 W/m 2 . The findings of this study can be used for identification of niche areas for CSP projects in India. [ABSTRACT FROM AUTHOR]

Switchgrass ( Panicum virgatum L.) is widely selected as a model feedstock for sustainable replacement of fossil fuels and climate change mitigation. However, how climate changes, such as altered precipitation (PPT), will influence switchgrass growth and soil carbon storage potential have not been well investigated. We conducted a two-year PPT manipulation experiment with five treatments: −50%, −33%, +0%, +33%, and +50% of ambient PPT, in an “Alamo” switchgrass field in Nashville, TN. Switchgrass aboveground net primary production (ANPP), leaf gas exchange, and soil respiration (SR) were determined each growing season. Data collected from this study was then used to test whether switchgrass ANPP responds to PPT changes in a double asymmetry pattern as framed by Knapp et al. (2017), and whether it is held true for other ecosystem processes such as SR. Results showed that the wet (+33%, and +50%) treatments had little effects on ANPP and leaf gas exchange compared to the ambient precipitation treatment, regardless of fertilization or not. The −33% treatment did not change ANPP and leaf photosynthesis, but significantly decreased transpiration and enhanced water use efficiency (WUE). Only the −50% treatment significantly decreased ANPP and LAI, without changing leaf photosynthesis. SR generally decreased under the drought treatments and increased under the wet treatments, while there was no significant difference between the two drought treatments or between the two wet treatments. Our results demonstrate that switchgrass ANPP responded in a single negative asymmetry model to PPT changes probably due to relative high PPT in the region. However, even in such a mesic ecosystem, SR responded strongly to PPT changes in an “S” curve model, suggesting that future climate changes may have greater but more complex effects on switchgrass belowground than aboveground processes. The contrasting models for switchgrass ANPP and SR in response to PPT indicate that extreme wet or dry PPT conditions may shift ecosystem from carbon accumulation toward debt, and in turn provide government and policy makers with useful information for sustainable management of switchgrass. [ABSTRACT FROM AUTHOR]

The United Nations Sustainable Development Goal target 7.1, to provide universal access to affordable, reliable and modern energy by 2030, must be achieved in the context of rapid reductions in global greenhouse gas (GHG) emissions. While replacing solid cooking fuels with liquid petroleum gas (LPG) opens questions about the compatibility of energy access and climate mitigation objectives, the environmental impact of 2.6 billion people continuing to rely on solid fuel for cooking and heating is significant. However, models used to map deep decarbonization pathways typically do not feature a granular pathway for universal clean cooking access, which limits the representation of these two interconnected transitions, mitigating climate change and achieving universal energy access. Here, we present a novel methodology for representing residential cooking pathways within the TIMES energy systems optimization model (ESOM) framework. The methodology is demonstrated using India as a proof-of-concept case study, where scenario analysis explores solutions that reach universal clean cooking access in the context of GHG emissions reductions. The model presented here is published and publicly available to access. • Sustainable Development Goal 7.1 targets universal access to clean cooking facilities by 2030. • Energy access and climate mitigation interconnection is underrepresented in energy systems modelling. • The Clean Cooking Model (CCM) represents energy access options in an energy systems optimization framework. • CCM maps cost-optimal, granular pathways to energy access and climate mitigation goals. [ABSTRACT FROM AUTHOR]

[Display omitted] • The Budyko framework was applied to 75 catchments covering a large area of Taiwan. • Varied landscape effects determined water resources availability among catchments. • Considerable spatial variability in the Budyko-related variables were found. • Three clusters were identified based on catchments' movements in the Budyko space. • 64 catchments will face the reduced availability of future water resources. Assessing water resources availability in a changing climate is a determinant of promoting sustainable development in a region. Such assessment should better be inter-basin in order to unveil a region's overall risk, so a time-varying Budyko framework is developed and adopted in this study. Gauge-based gridded precipitation and temperature, in company with runoff data, were used to derive the Budyko curves for 75 catchments over Taiwan. Downscaled precipitation and temperature data from selected global climate models and Representative Concentration Pathways (RCPs) were then used to calculate the shifts in the Budyko space of each catchment. It was found that the Budyko-related variables (e.g., evaporative and aridity indices, and catchment-specific parameter) exhibited considerable variability island-wide, with a few outliers in certain catchments being modulated by distinct landscape features and/or human activities. Under all RCPs analyzed, the majority of catchments showed the magnified movement vectors pointing at the 1st quadrant in the Budyko space in the late-21st century, suggesting a predominant and aggravating drying trend over Taiwan. Cluster analysis of the movement vectors under RCP8.5, which entailed the least inter-model differences, identified three major clusters, two of which (64 catchments included) indicated a drying trend of varied significancy. According to our findings, without effective mitigation of climate change, an increased likelihood of the worst-case scenario will substantialize the reduced availability of Taiwan's water resources. [ABSTRACT FROM AUTHOR]

• Crop residue-derived biochar production reduces global warming potential. • The feedstock composition and pyrolysis temperature strongly regulate biochar yields. • Slow pyrolysis and microwave-assisted pyrolysis suitable for biochar production. • Physical and chemical properties of biochar are critically discussed. • The concept of biochar, bio-oil, and gas nexus is important for sustainability. Worldwide surge in crop residue generation has necessitated developing strategies for their sustainable disposal. Pyrolysis has been widely adopted to convert crop residue into biochar with bio-oil and gas being two co-products. The review adopts a whole system philosophy and systematically summarises up-to-date knowledge of crop residue pyrolysis processes, influential factors, and biochar applications. Essential process design tools for biochar production e.g., cost-benefit analysis, life cycle assessment, and machine learning methods are also reviewed, which has often been overlooked in prior reviews. Important aspects include (a) correlating techno-economics of biochar production with crop residue compositions, (b) process operating conditions and management strategies, (c) biochar applications including soil amendment, fuel displacement, catalytic usage, etc., (d) data-driven modelling techniques, (e) properties of biochar, and (f) climate change mitigation. Overall, the review will support the development of application-oriented process pipelines for crop residue-based biochar. [ABSTRACT FROM AUTHOR]

• An assessment of the different production methods of green ammonia was analyzed. • The various barriers facing widespread of green ammonia were discussed. • The contribution of green ammonia in achieving SDGs was elaborated. Fossil fuels are no longer accepted as the sole energy source with their environmental impacts and fluctuating price. Green hydrogen is considered a potential candidate for fossil fuel soon—however, hydrogen is facing the challenges of storage and transportation. Green ammonia, with its ease of transport and storage, is another promising alternative. Decarbonizing ammonia production is an environmental press toward achieving net-zero emissions by 2050. This work summarizes the up-to-date progress in the green ammonia production methods. An assessment of the different production methods was conducted to highlight the merits and constraints of each approach. Moreover, the promising applications of green ammonia in the energy sectors were discussed. The various barriers, i.e., technical, economic, environmental, and regulations and policies, facing the widespread of green ammonia were also discussed. Finally, the contribution of green ammonia in achieving the different sustainable development goals was elaborated, focusing on the contribution of green ammonia in achieving climate change (SDG 13), clean energy (SDG 7), and other sustainability-related goals. Low efficiencies, high cost, and negative environmental impacts are the common challenges of the various production methods. The progress in green ammonia is essential for achieving SDG2, "Zero hunger". SDG3 "healthy life and well-being" and SDG13 "Climate action", will be achieved by eliminating 3.85 kg CO 2 -eq/kg NH 3 emitted from conventional ammonia-based processes. Ease storing of green ammonia in liquid form (at 9 bar or cooling to −33°); makes it the best green energy source, i.e., achieving SDG7 "green and affordable energy". By 2050, green ammonia is expected to represent 99 % of marine fuel, thus contributing to SDG9 "Industry and Infrastructure". Moreover, green ammonia production will save 35.2 GJ of natural gas, thus achieving SDG12 "Responsible consumption/production". [ABSTRACT FROM AUTHOR]

Achieving sustainable development requires the decoupling of natural resource use and environmental pressures from economic growth and improvements in living standards. G7 leaders and others have called for improved resource efficiency, along with inclusive economic growth and deep cuts in global greenhouse emissions. However, the outlooks for and interactions between global natural resource use, resource efficiency, economic growth and greenhouse emissions are not well understood. We use a novel multi-regional modeling framework to develop projections to 2050 under existing trends and three policy scenarios. We find that resource efficiency could provide pro-growth pro-environment policies with global benefits of USD $2.4 trillion in 2050, and ease the politics of shifting towards sustainability. Under existing trends, resource extraction is projected to increase 119% from 2015 to 2050, from 84 to 184 billion tonnes per annum, while greenhouse gas emissions increase 41%, both driven by the value of global economic activity more than doubling. Resource efficiency and greenhouse abatement slow the growth of global resource extraction, so that in 2050 it is up to 28% lower than in existing trends. Resource efficiency reduces greenhouse gas emissions by 15–20% in 2050, with global emissions falling to 63% below 2015 levels when combined with a 2 °C emissions pathway. In contrast to greenhouse abatement, resource efficiency boosts near-term economic growth. These economic gains more than offset the near-term costs of shifting to a 2 °C emissions pathway, resulting in emissions in 2050 well below current levels, slower growth in resource extractions, and faster economic growth. [ABSTRACT FROM AUTHOR]

Decarbonization is a process that transforms economies to lower greenhouse gas (GHG) emissions per unit of economic output, aiming towards net-zero GHG emissions. This process could also reduce short-lived climate pollutant (SLCP) emissions, including black carbon and methane. They have relatively short atmospheric lifetimes but have large radiative forcing and impact human health. Therefore, reducing SLCPs can improve air pollution and help mitigate climate change. Costa Rica was one of the first countries to have a decarbonization plan, and many others have stated their goal to reach net-zero emissions by around mid-century. However, reducing SLCP emissions as an economy decarbonizes is not guaranteed, and few examples in the literature have assessed how decarbonization impacts SLCPs. This paper estimates the SLCP emission reductions from Costa Rica's decarbonization plan. Through a value chain analysis and the identification of implementation barriers, the paper also evaluates which policy instruments can advance SLCP mitigation in multiple sectors, creating implementation synergy. We find that mitigation measures, by 2050, in the transport, agricultural, solid waste, and industrial sectors avoid 25.2 kt of black carbon emissions (23 times the 2018 emissions) and 2167 kt of methane (15 times the 2018 emissions). However, the country faces financial and governance challenges in each sector that will need overcoming to implement the intended mitigation measures. We identify a comprehensive environmental tax reform, the overhauling of urban regulatory plans, the strengthening of institutional capabilities, and low-carbon investment with favorable financing as crucial cross-sectoral policy synergies that will advance the implementation of SLCP mitigation. • Decarbonizing can reduce and avoid short-lived climate pollutant (SLCP) emissions. • Black carbon and methane (two SLCPs) cause global warming and poor air quality. • Some policy instruments can reduce SLCPs in multiple sectors, causing synergy. • Improved urban planning can favor the mitigation in transport and waste sectors. • Institutional strength and favorable financing are needed to advance mitigation. [ABSTRACT FROM AUTHOR]

The Sustainable Development Goals (SDGs) agenda encourages and establishes initiatives that are important to society. In this sense, it is vital and valuable to adapt these initiatives on a sectoral basis. Therefore, this study aims to handle sustainability issues at ports within the United Nations Sustainable Development Goals (UNSDG) framework. Two targets were set. The first target is addressing the attention of European ports' sustainability disclosures to SDGs. The second target is to develop a comprehensive framework of port related sustainability initiatives to support the achievement of SDG targets. This paper is based upon a qualitative content analysis study. To consolidate the best practices, European Ports were selected as the research area. First, this study contributes to the extension of the UNSDG and Global Reporting Initiative (GRI) indicator framework with port specific aspects. Therefore, it provides a comprehensive picture of port-related actions linked to each SDG goal. Secondly, it provides evidence of how European ports are aligned with SDGs. The results revealed that the port industry has the potential to contribute mainly to SDGs 8 Decent Work and Economic Growth; 9 Industry, Innovation and Infrastructure; 11 Sustainable Cities and Communities, 12 Responsible Consumption and Production, 13 Climate Action, and 17 Partnership. [ABSTRACT FROM AUTHOR]