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This study evaluates the environmental impacts associated with the conversion of garden organic waste into value-added products, namely compost or biochar, employing various processes. Three distinct scenarios are considered: composting garden organic waste followed by screening of oversized materials (CBP), pyrolysis of oversized screenings of compost into biochar AP(I), and in-situ conversion of garden organics into biochar AP(II). A comprehensive Life Cycle Assessment (LCA) was conducted using OpenLCA software and life cycle impact assessment was conducted using Recipe 2016 midpoint methodology. The environmental ramifications of each scenario were assessed, optimising transport distances in AP(II) to achieve a functional unit of one tonne of biochar produced within a cradle-to-gate system boundary. For the first time, this study offers a holistic exploration of the benefits of soil biochar application, extending its scope to climate change mitigation, incorporating the optimisation of transport distance and its influence when scaling up the technology. The results revealed that global warming was increased from 125 kgCO 2 eq during composting of garden waste to 232 kgCO 2 eq where oversized screenings of compost is converted to biochar at an off-site facility. However, direct conversion of the oversized organic waste to biochar, without composting, showed reduced global warming impact of 56 kgCO 2 eq, and is thus the most favourable scenario to limit climate impacts of this fraction of organic garden waste. However, among 18 environmental impact indicators studied, eight indicators were either not influenced or did not significantly increase by transport distance to an off-site pyrolysis facility, while the magnitude of 10 impact indicators increased with transport distance. The insights and methodologies presented in this study hold global relevance, based on an actual case study in regional Australia, offering valuable recommendations for sustainable waste management practices and establishing biochar as a carbon-neutral or carbon-negative solution. The findings contribute to existing waste management knowledge and provide guidance for accessible carbon dioxide removal and soil carbon sequestration technologies. [Display omitted] • A comprehensive LCA for valorisation of garden organics was conducted. • Direct conversion of garden organics to biochar showed least potential environmental impacts. • Biochar provides opportunities for avoided, reduced, and removed carbon from atmosphere. • Maximum transport distance has been identified for individual impact categories. [ABSTRACT FROM AUTHOR]

Insulation materials in the construction industry play a crucial role in improving the thermal performance of buildings, reducing energy demands, and reducing carbon emissions. With the growing emphasis on decarbonization, the construction sector is increasingly adopting bio-based insulation materials from renewable and eco-friendly sources as a more sustainable circular economy (CE) strategy to replace mineral and plastic insulation materials. However, due to limited environmental data availability, their efficacy and environmental sustainability in climate mitigation relative to their conventional counterparts remain unclear. This study fills this critical knowledge gap by conducting a literature review and mapping the key physical and environmental properties of bio-based insulation materials, thereby assessing their potential for climate mitigation. Specific definitions and criteria established in this study for biobased insulation materials facilitated the mapping of 174 emerging materials and products at the lab-scale. These include 39 distinct bio-based materials, either in their raw form or combined with 40 binders from various material groups such as minerals, polymers, biopolymers, and other innovative solutions. Most mapped products show favorable performance in cradle-to-gate embodied carbon (EC), benefiting from biomaterials' carbon storage. However, significant variations in physical and environmental properties among these products highlight areas for improvement, particularly in embodied energy (EE) and thermal conductivity compared to glass wool. This paper attempts, for the first time, a comprehensive categorization of these products based on three criteria: thermal performance, climate mitigation, and environmental sustainability, grounded in critical physical and environmental properties. Cellulose and straw bale emerge as competitive options for thermal performance and environmental sustainability in climate mitigation, with potential for scalable adoption. However, further research on the physical and environmental properties of bio-based insulation materials is crucial to improve their assessment and categorization, and consequent recommendation for broader adoption in sustainable construction practices. [Display omitted] • Developed standardized definitions for biobased insulation materials by composition. • Categorized and mapped 174 bio-based insulation materials for climate mitigation. • Varied physical and environmental properties on the material level are observed. • EC values of most bio-based insulation materials are comparable to glass wool. • Cellulose and straw bales are promising alternatives for climate mitigation. [ABSTRACT FROM AUTHOR]

Public–private partnerships (PPPs) are increasingly being utilized worldwide as a means of providing climate mitigation and adaptation interventions, including low-carbon, climate-resilient (LCCR) infrastructure. To explore LCCR PPPs in more depth, we conduct a systematic literature review of articles published in peer-reviewed, academic journals between 1990 and 2023, matched with a snowballing search approach. Our analysis is specifically focused on the reasons for public and private involvement in PPPs that solve climate-related problems and the main features influencing the outcomes of these projects. Our findings indicate that public authorities opt for PPPs in LCCR infrastructure projects due to budgetary constraints and the imperative for innovation. Private sector participation is driven by considerations such as profitability, risk mitigation, and favourable policy frameworks. Relative to more traditional PPP models, LCCR partnerships adopt more creative schemes, involve a larger number of stakeholders, display different risk allocations, and pay more attention to social acceptance. Moreover, their outcome and eventual success are more keenly measured in terms of social acceptance, transparency, and their relevance to citizens and social organizations. Future work should assess the overall efficacy of PPPs in delivering climate mitigation and adaptation interventions, especially emission reductions. Additionally, greater attention should be directed towards examining the replicability of case studies. Rather than relying on criteria established in the extant literature, emphasis should also be placed on climate objectives. [ABSTRACT FROM AUTHOR]

Developing non-grain forestry woody fuel industries such as Jatropha curcas L. (JCL) aligns with the national conditions of countries with food shortages and large populations, such as some countries in Africa and Asia, and is an ideal alternative to replace fossil fuels. Determining appropriate planting densities suitable for different regions is one of the most critical practices for agriculture and forestry to achieve high yields and sustainability. This study conducted a life cycle assessment (LCA) of the JCL biodiesel's environmental impact, energy balance, and economic analysis (3E) of two densities and three of the most suitable planting regions in China. Findings reveal that the density of 2500 plants/ha had a better 3E performance than 1600 plants/ha, and Yunnan province outperformed Guizhou province and Sichuan province. JCL biodiesel effectively mitigates the greenhouse effect (1141.14–1936.59 kg CO 2 eq/t) compared to conventional fossil diesel in different cases. Key factors influencing environmental performance include seed yield, urea applied during cultivation, methanol for biodiesel conversion, and electricity for irrigation. The Net Energy Balance (NEB) and Net Energy Ratio (NER) demonstrate the superior energy efficiency of JCL biodiesel over fossil diesel. The cost of producing JCL biodiesel decreased with the maturation of the trees, with water use and labor salary accounting for over 80% due to the necessity of the cultivation stage. Although the Financial Net Present Value (FNPV) was negative when considering only JCL biodiesel, it became positive (12111.64–27342.44 CNY) with the inclusion of by-products (glycerine, press-cake, and shells) in high-density cases. Our findings suggest that JCL biodiesel with appropriate density can serve as a sustainable biofuel alternative, replacing a portion of the fossil diesel currently on the market and significantly contributing to climate change mitigation and nonrenewable energy conservation. [Display omitted] • A comprehensive cradle-to-gate LCA of Jatropha curcas L. biodiesel of two densities × three regions was assessed. • Planting density was an important factor influencing the environmental, energy, and economic performance of Jatropha curcas L. • Jatropha curcas L. biodiesel reduced GHG emissions and saved energy compared to fossil diesel. • Emissions from fertilizers, energy consumption from electricity, and the cost of labor contributed the most to 3E of Jatropha curcas L. biodiesel. [ABSTRACT FROM AUTHOR]

Due to the urgent need for global climate change mitigation, the use of renewable carbon sources and the application of circular economy principles represent promising ways to implement the necessary fundamental transformation toward a sustainable (i.e., carbon-neutral) carbon-based chemical industry. As this required transformation involves a multitude of stakeholders and requires broad societal support, social sciences have to be involved to inform possible transformation pathways. Although there is a growing body of social sciences research in the field of a circular plastics economy, some processes in the social sciences that have the potential to support the transformation process are still understudied. Based on a reflection of the current circular economy approach, we point out research needs in the following fields: (1) behavioral plasticity of consumer behaviors and potential side effects of mitigation strategies, (2) the dynamics of political framework conditions, and (3) the citizens' literacy as relevant supporters of the transformation. We conclude that social sciences-related circular economy research is just beginning to understand the needs and willingness of actors involved in the transformation toward a sustainable carbon-based chemical industry, clearly implying the need for further contributions from the social sciences. • circular economy (CE) principles are needed for the transformation toward a sustainable chemical industry. • The transformation embraces a multitude of stakeholders which implies the need for broad societal support. • The potential of the social sciences in the field of transformation of the chemical system has yet not be fully utilized. • Research needs refer to (1) behavioral plasticity of consumer behaviors & potential side effects of mitigation strategies. • Research needs further refer to (2) the dynamics of political framework conditions & (3) to citizens' carbon literacy. [ABSTRACT FROM AUTHOR]

As China actively fulfills its emissions reduction obligations to meet the Paris climate goals, it is crucial to explore carbon reduction policies at the city level, given the important role and potential of cities in China's emissions reduction efforts. In this study, a comprehensive assessment and prediction of carbon emission patterns in the Pearl River Delta urban agglomeration was conducted by developing an integrated model that incorporates graph representation learning, factorial analysis, and random forest methods. The main findings are (1) there is significant heterogeneity in carbon emissions across industries and across time and space; (2) carbon clusters can more accurately characterize the flow of carbon emissions than carbon supply chains; (3) the nonmetallic manufacture, electricity supply and transportation industries play a decisive role in carbon emission reduction; and (4) the prediction results show that the carbon emissions of the Pearl River Delta urban agglomeration will reach 349.2 million tons in 2021, and will then show a declining trend year by year, dropping to a projected 179.8 million tons in 2035. Based on the above findings, it is recommended that the monitoring of key carbon emission clusters should be strengthened, and the monitoring data should be utilized to establish a cross-city and cross-industry cooperation mechanism for emission reduction. In addition, a clear set of action plans and strategies should be formulated and implemented to ensure that the carbon emission targets for 2035 are realized. [Display omitted] • ►A graph-factor-based random forest model (GRFM) is developed. • ►Carbon emissions have significant sectoral and spatial-temporal heterogeneity. • ►Electricity supply is the largest carbon emitter. • ►Developed economies such as Guangzhou, Dongguan, Foshan dominate carbon emissions. [ABSTRACT FROM AUTHOR]

Air pollution control measures play a crucial role in reducing air pollution and climate change, but researches on co-benefits of Total Control of Major Air Pollutants (TCMAP) in China is limited. This study quantifies synergistic benefits of TCMAP in reducing pollutant and carbon emissions by constructing a project-level emission reduction database, and further modelling safeguard strategy of emission reduction to achieve dual carbon target. Results revealed that TCMAP has facilitated a shift in the focus of air pollutant management from energy restructuring to deeper industrial and transportation restructuring. Synergistic benefits of TCMAP surpassed Carbon dioxide (CO 2) emissions from end-of-pipe treatment measures. As a result of rigorous implementation of TCMAP, approximately 0.12 GtCO 2 emissions were projected to be avoided in 2022. Synergistic reductions of 5,161 kt pollutants need to be achieved by 2030, and this commitment should be further strengthened to achieve 11,352 kt pollutants by 2060 to achieve dual-carbon target. [Display omitted] • Atmospheric control turned to transportation and industrial structure adjustment. • TCMAP pathway achieved synergistic carbon reduction 0.12 GtCO 2 in 2022. • Synergistic benefits of TCMAP far outweigh the end-treat measures that produce CO 2. • More ambitious TCMAP target safeguards needed for climate change mitigation. [ABSTRACT FROM AUTHOR]

There is urgent need for the transformation of built environments to tackle climate change. The reduction of greenhouse gas emissions to achieve the Paris Agreement goal of limiting warming to well below 2 °C is of paramount importance, as is planning for future climate change risks. Architects, as designers of the built environment hold an important role in advocating and enabling the necessary mitigation and adaptation actions required in the design and construction of new buildings, and the reuse of existing built fabric – to reduced embodied carbon and achieve operational energy efficiency. Despite the importance, most built environments do not yet adequately address climate change. Limited research has examined the barriers that architectural professionals encounter when integrating climate change action in their projects during their role designing built environments. This is the gap that this research addresses. Interviews with twenty-two Australian architectural practitioners were undertaken, to investigate their experience of barriers to and facilitators of climate change action in their professional practice. Four key themes were found: 1) actors, 2) processes and structures, 3) information and knowledge, and 4) the role of government. Barriers and facilitators were found to be embedded in architects' perception of their role, the processes and practices they undertake, and their relationship with other stakeholders. The facilitators identified can assist drive better outcomes for future design and construction of buildings. Recommendations identified include: 1) build architects' confidence and capability to be advocates; 2) develop of architects' climate change knowledge and competence; 3) transform design processes to be more circular, interdisciplinary and long term focused, and 4) reform current built environment policy to adequately consider climate change. [Display omitted] • Architects are crucial to achieving climate change action, but there is limited information on how to achieve this. • This study interviewed Australian architects about the barriers and facilitators they face to climate change action. • Key barriers for architects to enable change include limited influence, reach and decision-making capabilities. • Barriers and facilitators to climate action are influenced by both internal and external factors. • Identifies initiatives to facilitate climate change action: building knowledge and capacity, and transforming design processes. [ABSTRACT FROM AUTHOR]

Adopting net zero neighborhoods (NZN) combined with circular economy are increasingly recognized as an essential strategy for construction companies, allowing their transition towards sustainability and contributing to climate change mitigation. Transforming existing neighborhoods into NZN is necessary to achieve energy self-sufficiency and net zero by 2050. The success of NZN hinges on government initiatives. However, existing studies appear to lack a comprehensive exploration of the transformation initiatives within NZN, spanning aspects like raw materials, construction practices, transportation, and waste management, particularly in terms of technological advancements. To address the gap, this research introduces a conceptual framework that integrates the multiple case studies design method with an urban transformative capacity model. This innovative framework is the first application of a multi-level urban transformative capacity model in transforming existing neighborhoods into NZN within a specific region. This research specifically utilizes South Wales in the UK as a case study. It identified four key initiatives in technology, construction, transportation, and waste management. These initiatives offer significant benefits, including fostering a more sustainable and environmentally friendly construction industry through enhanced traceability and efficiency, and simultaneously promoting social sustainability by improving community engagement, providing social benefits through sharing economy initiatives, and creating new green job opportunities. [Display omitted] • This study aims to apply CE principles to create net zero neighborhoods. • A conceptual framework is proposed for transforming existing neighborhoods into NZN. • The method integrates multiple case studies and urban transformative capacity model. • This research uses South Wales in the United Kingdom as a case study. • The innovative initiatives can drive successful transformations in the target city. [ABSTRACT FROM AUTHOR]

To effectively mitigate climate change, policymakers worldwide established various GHG tracking and trading systems. In the light of ambitious climate goals, stricter regulations, and increasing demand for climate action, various groups such as researchers and governmental institutions suggested additional approaches. This paper addresses the complexity that arises from the breadth of suggested approaches and implemented systems for GHG tracking and trading. By doing so, it synthesizes relevant dimensions in a way that is understandable to enterprises and policymakers, enabling them to design meaningful systems incorporating the reduction of GHG emissions and advance cleaner production. Therefore, this paper presents a first-of-its-kind taxonomy of GHG tracking and trading approaches through a systematic literature review. It illustrates ten main design and implementation dimensions with 30 corresponding characteristics. To accelerate decarbonization, this paper sets impulses for future GHG tracking in the electricity sector based on semi-structured expert interviews. Consecutively, it provides policy directions for CO 2 -adaptive decision-making for enterprises, formulated as a Call for Action with seven prospective questions. These include, for example, questions concerning technical aspects like data management, legal issues like the sufficiency of existing data security and privacy regulations, as well as economic topics like the calculation of an appropriate local and temporal granularity. • Presenting a first-of-its-kind taxonomy of GHG tracking and trading approaches through a systematic literature review. • Creating targeted knowledge for enterprises and policymakers for designing meaningful systems to reduce GHG emissions. • Setting impulses for future GHG tracking in the electricity sector based on semi-structured expert interviews. • Providing policy directions for CO 2 -adaptive decision-making for enterprises, formulated as a Call for Action. [ABSTRACT FROM AUTHOR]

In this study, a stepwise clustered ensemble temperature downscaling (SCETD) model has been proposed based on a stepwise cluster analysis method (SCA) and used for the first time to study the extreme temperature variations at 12 stations in the Yangtze River Basin (YRB). The results show that the proposed model can be used to generate reliable forecasts of daily maximum, minimum, and mean temperatures based on CMIP6 data (R 2 > 0.96). Temperatures in the Yangtze River Basin are likely to maintain a significant upward trend (Tmean is 0.082–0.23 °C/decade under SSP245 and 0.094–0.46 °C/decade under SSP585) in the future. In terms of extreme temperature events, extreme warm events may happen more frequently and extreme cold events to decrease in the future under SSP245 and SSP585. A more significant increase of FD and TNn can be observed in the Qinghai-Tibet Plateau region, while the TXx and SU will grow more considerably in the central Yangtze River region under both scenarios. Semi-arid regions (Qinghai-Tibet Plateau) are more sensitive to climate change. The changes of SU and TXx are significantly smaller than FD and TNn under both SSPs scenarios. The obtained results will be of great significance for responding to international climate goals, formulating emission reduction policies, adopting adaptation measures and international cooperation. [ABSTRACT FROM AUTHOR]

As the importance of non-state mitigation actions in the transition to a low-carbon economy becomes firmly established, a rapidly growing number of companies are setting corporate climate mitigation targets. Shareholders increasingly value these commitments, conveying the impression of good future carbon performance. However, a critical question emerges: why do some companies progress better than others toward their climate mitigation targets? There is currently a lack of empirical literature assessing companies' progress against their mitigation targets. Using a new indicator to evaluate the progress against individual corporate climate mitigation targets in a comparable manner, this study presents an explanatory analysis of 120 determinants applied to 4341 climate mitigation targets (scope 1 and 2 emissions) of 2975 companies reporting to the 2020 CDP questionnaire. The target progress assessment shows that 30% of targets have increased emissions since their base year, 15% have reduced their emissions but not at a sufficient pace, while 55% were on track to achieving or had already achieved their targets. In addition, 18% of targets were already achieved the year the target was set, which may be due to choosing a base year with unusually high emissions. The findings reveal 19 key determinants significantly associated with the progress against corporate targets and highlight future research orientation. Our results indicate better progression by companies having absolute targets with longer timeframes and disclosing additional, as well as remuneration links to climate-related issues. Companies with more ambitious targets progress less than others, except when the ambitious targets are approved by the Science-Based Targets initiative. The latter implies ambitious targets from some firms may only be symbolic, and that investors should consider both target ambition and progress. Clear guidance and regulations should be implemented by policymakers to prevent misleading target information. Future research should address limitations related to reliance on self-reported data and exclusion of scope 3 emissions targets, along with the research directions suggested by the findings. [ABSTRACT FROM AUTHOR]

Carbon emissions elimination in the rapid urbanization areas contributes to regional sustainable development and global climate change mitigation. With the target of carbon neutrality, the global top-class Beijing-Tianjin-Hebei Urban Agglomeration which confronts with the dual pressure of excess carbon emissions and shrink ecological space has increased its carbon reduction coordination cooperation, among which energy consumption carbon emission control and natural resource sink maintenance have been recognized as the key strategy. However, the study on carbon balance prediction is lack and the amount of energy consumption carbon emissions in the future can be offset by the ecological carbon sink is still unknown. To estimate the gap to carbon neutrality, this study proposes a framework for carbon offset analysis and prediction which takes various carbon emission scenarios and the potential of natural resource on carbon reduction into consideration. After the framework conduction in the agglomeration, it is revealed that the regional least carbon emissions of 29.51 Mt mainly derive from the population and economic growth brought by urbanization process, while the carbon sink predicted to be 2552.31 Kt is still far to cover the emissions. With the regional carbon offset rate decline from 0.68% to 0.63%, the ecological carbon sink in Beijing will offset 1.21% of its carbon emission, while the least ecological space keep city Tianjin is predicted to suffer the lowest offset rate of 0.09%. The research results contribute to recognize the key factors on carbon emission control and key areas for carbon maintenance in following years, as well as narrowing the gap to neutrality with both consideration of carbon emission reduction and sink maintenance. [Display omitted] • Framework on energy consumption carbon offset analysis was established. • Regional carbon emissions, sinks and offset rate were predicted. • Drop from 0.68% in 2020 to 0.63% in 2030, the declining offset rate indicates the gap to neutrality is still large. • Implications for each area's carbon emission offset rate improvement were discussed. [ABSTRACT FROM AUTHOR]

The European Union (EU) has consistently held a prominent global position in climate governance. This paper compiles 152 climate neutrality policies issued by the European Commission (EU Commission) and employs a systematic analytical framework including "Vertical Policy Hierarchy - Horizontal Policy Path – Systematic Policy instruments" to conduct an in-depth analysis of the EU's climate neutrality policy system. This study produces several findings as follows: First, the EU's climate neutrality policy hierarchy is characterized by a structure comprising "Long-Term Planning – Specific Measures - Financial Support". Second, the EU's policy formulation process for climate neutrality emphasizes the integration of a multi-party engagement mechanism involving "Nongovernmental Level - Regional Level - National Level - Transnational Level - Supranational Level", while extensively employing a "framework-content" policy-making methodology. Third, the EU's climate neutrality governance is guided by the dual objectives of achieving a "Cleaner Energy Structure" and "Recover Ecological Environment" pursuing a broad-ranging and multi-tiered policy pathway towards climate neutrality. Fourth, the EU leverages a combined approach of mandatory measures and guiding policies to propel the climate neutrality governance process, aspiring to achieve breakthroughs in new energy technology innovation through climate neutrality governance, thereby solidifying its international standing. Moreover, this study provides an outlook on the future of the EU's climate neutrality policy governance, positing that the EU's emphasis on climate neutrality governance will remain undiminished, with a heightened focus on guiding policies and an emphasis on the roles of enterprises and the public in advancing the realization of climate neutrality. [ABSTRACT FROM AUTHOR]

Carbon tax is a policy instrument that facilitate the phase-out of coal as a chemical feedstock and help China achieve an early carbon peak. However, the policy design is challenged by the complex dynamics of global warming potentials (GWP) from upstream methane emissions, which have a short atmospheric lifetime but a high climate impact. In this study, we compared the life-cycle GWP of two propylene production routes in China: Coal-to-Olefin (CTO) and Propane Dehydrogenation (PDH). We also conducted a cost-profit analysis that incorporates the carbon tax, considering uncertainties in the dynamic radiative forcing of methane. We derived a range of optimal carbon tax rates that can enhance the economic competitiveness of low-carbon propylene routes PDH and discourage the expansion of coal-fed CTO propylene routes. Results show that, for the propylene sector in China, the carbon tax rate should be between 86 and 600 Chinese Yuan (CNY) or 12–84 US dollars (USD) per ton of carbon dioxide equivalent (CO2e), which corresponds to 1–10% of the typical propylene price in the Chinese market. Our study provides spatiotemporal insights into the carbon tax for China's propylene sector to decarbonize and control upstream methane emissions. Since propylene is one of the key raw materials for chemical (e.g., plastic) productions, our analysis contributes to the climate benefits of global chemical trade. • Carbon tax contributes to controlling upstream methane emissions from coal-based chemical production. • Time-horizon is crucial for taxing carbon, especially as short-lived greenhouse gas emissions affect propylene producers' profits. • Carbon tax is necessary at provincial scale since the intensity of methane emissions from coal and propane feedstock supply chains vary regionally. [ABSTRACT FROM AUTHOR]

This study aims to evaluate and compare two integrated processes (Plant A and B) for hydrocarbon production from CO 2. They involve proton exchange membrane water electrolysis for H 2 production, reverse water-gas shift reaction for syngas production, pressure swing adsorption for syngas purification, Fischer-Tropsch synthesis for diesel-range hydrocarbons from CO 2 , and atmospheric distillation for product separation. Plant B additionally integrates a hydrocracking-based upgrading section. The simulations were performed using Aspen Plus® v10, Aspen Adsorption® v10, and Aspen Custom Modeler® v10. The evaluation covers technical, economic, environmental, and multi-criteria assessment (GREENSCOPE). The proposed processes demonstrate the potential to convert CO 2 to hydrocarbons, with carbon conversion rates of 75% and 71% for Plants A and B, respectively. Process energy intensity is 155 and 170 MJ/kg LP for Plants A and B, respectively. Environmental assessment reveals CO 2 reduction, resulting in negative global warming potentials of −2.20 and −0.84 kgCO 2-eq /kg LP for Plants A and B, respectively. The sustainability degree indices for Plants A and B are 1.00 and 0.06, respectively, indicating Plant A as the more sustainable process alternative based on both quantitative and qualitative metrics. Economic analysis shows project unviability in the Brazilian context due to reliance on H 2 production and prevailing pricing conditions. Economic viability requires a price increase of liquid products by 266% and 302% or CO 2-eq abatement costs ranging from 2.05 to 3.43 US$/kgCO 2-eq for Plants A and B, respectively. GREENSCOPE methodology indicates better performance for Plant A across all scores, highlighting a clear connection between the hydrocracking unit and performance indicators. The findings show that these processes align with sustainable development goals (SDGs) targets for climate action (SDG 13), clean energy (SDG 7), industry, innovation, and infrastructure (SDG 9), decent work and economic growth (SDG 8), and responsible consumption and production (SDG 12). Overall, the research moves forward SDGs by offering solutions to cut carbon emissions and promote sustainable industrial practices. [Display omitted] • The overall carbon conversion achieved 71–75%. • The global warming potential is about −2.20 to −0.84 kg CO2-eq /kg LP. • The net present value is about −1066 to −1147 MMUS$. • An increase of 266–302% in liquid product prices is required for economic viability. • A CO 2-eq abatement cost of 2.05–3.43 US$/kg is required for economic viability. [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]

Healthcare organisations have a significant carbon footprint due to their substantial energy consumption and waste generation. The existing literature has mostly focused on examining the isolated impact of specific green organisational practices on individual dimensions of environmental performance. Hence, policy makers and practitioners still lack a holistic view of how combinations of green organisational practices can mitigate the impact on climate change of healthcare organisations. Drawing on the practice-based view (PBV) of strategy, the study first examines the extent to which the adoption of imitable, individual green organisational practices impacts on the whole climate change mitigation performance of publicly owned hospitals. Second, it explores possible combinations of green organisational practices that can lead to high levels of climate change mitigation performance. Focusing on the illustrative case of publicly owned acute care hospitals in the English National Health Service and employing a two-stage Data Envelopment Analysis and a fuzzy set Qualitative Comparative Analysis (fsQCA), the analysis shows that the adoption of the practice of green energy procurement can, in isolation, positively lead to high climate change mitigation outcomes. Moreover, high performance levels can be achieved through multiple configurations of green organisational practices. Therefore, the findings suggest that the effectiveness of green organisational practices on climate change mitigation performance of hospitals depends on how practices are combined, rather than on their single effects, and indicate the presence of a complementary as well as a substitution effect between practices. [ABSTRACT FROM AUTHOR]

Carbon neutrality strategies have a significant role in climate mitigation efforts. As global concerns regarding climate change continue to increase, achieving carbon neutrality has emerged as a paramount objective for reducing greenhouse gas emissions and limiting the adverse impacts of anthropogenic activities on the environment. This research investigates a wide range of scholarly works to conduct an in-depth analysis and synthesis of the relevant information about carbon neutrality strategies. The review introduces carbon neutrality principles and terminologies, highlighting their importance in climate mitigation. It then proceeds to explore the wide range of strategies employed across different sectors and industries, investigating their effectiveness, scalability, and potential challenges. A multidimensional analysis contrasts the United States Nationally Determined Contributions pathway 2023, China's Nationally Determined contributions 2023, and the EU Directive 2023/2413, assessing their economic, environmental, political, and social impacts. The study evaluates strategies' effectiveness, scalability, and innovation for transitioning to a sustainable, low-carbon future. It fills a gap by analyzing global approaches across the US, China, and the EU, which account for about 50% of the world's total GHG emissions. It evaluates the novel application of diverse strategies, from renewable energy transitions to innovative policy measures, highlighting their potential to mitigate climate change effectively. By providing a multidimensional analysis of these strategies' impacts, the research not only enhances understanding of effective carbon neutrality tactics but also underscores the importance of international cooperation in realizing a sustainable, low-carbon future. • Identifies and analyzes carbon neutrality strategies, emphasizing the need for diverse US, Chinese, and EU approaches. • Evaluate renewable energy, carbon capture, and policy tools for carbon reduction effectiveness, scalability, and innovation. • Highlights the study's novelty in synthesizing current knowledge on carbon neutrality, addressing a significant research gap. • Concludes with strategic ideas for international collaboration and policy development for low-carbon futures. [ABSTRACT FROM AUTHOR]

The number of patent ap plications for climate change mitigation technologies (CCMT) in China has shown a rapid development trend over the past decade. This study applies social network analysis (SNA) method and directed time-exponential random graph model(TERGM), while considering endogenous network structure variables, node variables and external network covariates, to analyze the Climate Change Mitigation Technology Innovation Cooperation Network (CCMTICN) formed in Chinese provinces, and analyzes the influencing factors and evolution of the CCMTICN from 2011 to 2021 using CCMT patent data from the Himmpat database. The results show that CCMTICN shows obvious core-edge structural characteristics; endogenous network structural variables have a non-negligible influence on the formation of the network, and other factors such as the information exchange network, industrialization level, knowledge level, and the degree of governmental intervention can promote the formation of CCMTICN; whereas, foreign direct investment, urbanization level, and carbon dioxide(CO 2) emissions can inhibit the formation of CCMTICN. When considering the 11-year time effect of CCMTICN, it is found that the CCMT cooperative relationship between provinces remains relatively stable. • Edge weights set by cooperative patents between provinces. • Examined CCMTICN factors over three periods using TERGM. • Added Baidu index to network variables; assessed CO2 impact. • Time effects in TERGM analyzed for network stability. [ABSTRACT FROM AUTHOR]

Existing assessments of climate mitigation technologies, like carbon capture utilisation and storage (CCUS), often rely on life cycle assessments (LCA), which are helpful for quantification but may not always be the most complete tools for decision-making. The novel contribution of this study is to provide the first application of a consequential carbon accounting approach, presented as a time-series analysis, to measure the system-wide change in emissions from CCUS linked to CO 2 -enhanced oil recovery. This method includes emissions from marginal oil production, a variable typically excluded in other LCA methods. The method was applied to a hypothetical CCUS project in Mexico to understand critical factors determining whether such an intervention can effectively contribute to emissions reduction in alignment with net-zero goals. Four intervention scenarios were assessed, comparing two distinct CO 2 injection strategies in oil reservoirs (water alternating gas and continuous gas injection) and two energy policy scenarios (current and sustainability). The findings suggest that the energy grid's role in overall emissions is relatively minor, with only a ∼2% difference between the compared scenarios, in contrast, the injection strategy has a significant impact on emissions. Scenarios 1 and 3 report a total change in emissions of −28.39 and −29.87MtCO 2 e, and scenarios 2 and 4 account for −19.63 and −21.22MtCO 2 e, respectively. The results highlight the importance of conducting system-wide analysis and comparing different scenarios to identify the critical components that drive changes in emissions and, therefore, support decision-making and project planning. • Consequential carbon accounting quantifies the system-wide change caused by CCUS. • A time-series provides decision-relevant information on climate change mitigation. • Market-mediated effects are highly relevant for CCUS projects. • CCUS is not consistent with net zero due to as remaining emissions. [ABSTRACT FROM AUTHOR]

As a response to the increasing threat to sport events from climate change and expectations around climate change mitigation, sport event managers increasingly engage in environmentally-related initiatives that aim to reduce GHG emissions. One of the major contributors to GHG emissions at large sport events is spectators' travel and, thus, their associated modal choices. Building on the Sport Logistics Framework (SLF) and using the case study of Rapid Vienna, the largest football club in Austria, this study investigates spectators' modal choice to systematically assess the total GHGs emitted by spectators at a professional football home game. Data was obtained from two sources: a) an extensive data set collected on Rapid Vienna season ticket holders, and b) three surveys at home games which, together, constituted 3317 valid responses. The calculation of the GHG emissions resulted in 99,548 kg GHG emissions per home game or 6.0 kg GHG emissions per spectator. It was also found that 42.4 per cent spectators arriving by car emit 71.6 per cent of GHG emissions, while in contrast, 52.8 per cent of spectators using public transport emit 27.1 per cent of GHG emissions. The results also indicate that the possession of an annual public transport ticket seems to determine travel behavior, i.e. the majority of spectators with an annual ticket are using it, while spectators without a ticket are using a car. As such, this paper not only provides an opportunity for academics and managers to benchmark the data in order to identify initiatives to reduce the impact of GHG emissions, but also allows for the systematic measuring of the environmental impact of fan and spectator travel. • Fan travel to professional football games is a major contributor to GHG emissions. • We assess fans' modal choices and their carbon footprint at a football home game. • The home game emits a total 99,548 kg GHG emissions or 6.0 kg GHG emissions per fan. • We found that 42.4% fans arriving by car emit 71.6% of GHG emissions. • The study allows for benchmarking and systematic measuring of fan travel behavior. [ABSTRACT FROM AUTHOR]

Nudge-based decarbonization policies possess significant potential to foster low-carbon lifestyles and contribute to the mitigation of climate change. However, securing public support for such policies is a complex endeavor. The pivotal role of policy narratives in molding public perceptions and garnering support underscores the necessity for a strategic approach in the crafting and deployment of these narratives to strengthen public endorsement of nudge-based decarbonization strategies. This study examines the influence of victim framing on the potency of policy narratives to bolster public support for nudge-based decarbonization policies. The study elucidates that narratives portraying climate change victims as humans rather than wildlife more effectively bolster support for policies. Furthermore, policy narratives featuring a lesser number of victims prove more efficacious in augmenting support for these policies. Moreover, the relationship between the number of victims and the narrative's impact on policy support transitions from negative to positive in the context of high narrativity. These disparities in narrative effectiveness can be attributed to their varying abilities to evoke compassion. These insights offer valuable guidance for enhancing public support for nudge-based decarbonization policies, highlighting the strategic use of policy narrative as a key tool in policy promotion. • Policy narratives portraying climate change victims as humans rather than wildlife more effectively bolster public support for nudge-based decarbonization policies. • Policy narratives featuring a lesser number of victims prove more efficacious in augmenting public support for these policies. • In the context of high narrativity, the relationship between the number of victims and the policy narrative's impact on public support for these policies transitions from negative to positive. [ABSTRACT FROM AUTHOR]

Climate aid is a form of official development assistance that addresses climate change mitigation and adaptation and plays a crucial role in combating climate change. However, existing empirical evidence does not suggest a clear link between climate aid and carbon lock-in. Based on country-level panel data from 77 countries spanning the period 2002–2020, this paper empirically examines the impact of climate aid on carbon lock-in and the four sub-indicators of carbon lock-in. Moreover, we investigate the mediating role of technological progress and potential impact mechanisms. We find that (1) climate aid has a significant restraining effect on carbon lock-in, and is an effective means of inhibiting the four aspects of carbon lock-in, namely, the lock-in of industry, institution, technology, and social behavior. (2) Technological progress not only directly leads to carbon lock-in eradication, but also synergizes with climate aid, suggesting that the combined influence of technological progress and climate aid can enhance the efficacy of efforts to mitigate carbon lock-in. (3) Climate aid promotes carbon lock-in mitigation by accelerating energy structure transition and industrial structure transition, which are two internal impact mechanisms in the nexus between climate aid and carbon lock-in. These findings offer concrete and practical policy implications to facilitate the development of climate aid and carbon lock-in eradication. • This paper estimates the impact of climate aid on carbon lock-in. • Climate aid significantly mitigates carbon lock-in and its four dimensions. • Technological progress can further strengthen the inhibiting effect of climate aid on carbon lock-in. • Climate aid indirectly affects carbon lock-in by promoting energy structure transition and industry structure transition. [ABSTRACT FROM AUTHOR]

The renewal of old bridges is sometimes restricted to avoid the high carbon emissions caused by materials and construction, which however might not be conductive to climate change mitigation due to their insufficient functions. In order to facilitate the optimization of renewal timing and strategy from the perspective of reducing the comprehensive global warming impacts, we put forward the low-carbon bridge renewal decision method referring to the ideas of consequential life cycle assessment (LCA) and dynamic LCA. In the proposed method, a comparative system boundary matching the bridge renewal characteristics is constructed, where the carbon emission reduction owing to the traffic efficiency improvement by functional updating is incorporated as the low-carbon benefits of renewal, and three types of time-dependent factors, i.e., time-dependent characterization factor, trend factors and changes of traffic demands, are introduced to characterize the influence of renewal timing. The proposed method provided guidance for the renewal of Maogang Bridge, the first long-span cable-stayed bridge in Shanghai. Results illustrate that the global warming impacts of renewal construction activities and the low-carbon benefits from functional updating decrease with the renewal timing. For Maogang Bridge, the rapidly increasing traffic demands inevitably advocated renewal in advance, and the reduction of global warming impacts from emission reduction or carbon uptake could be manifested for renewal in advance. Adopting material recycling in the disposal of old bridge helped reconstructing a new bridge while deconstructing the old one in 2019 becoming the finally selected low-carbon renewal strategy, which is expected to reduce 15.04 kt CO 2 e-2019 compared to the essential renewal in 2050 with the landfill disposal method. The robustness of the strategy choice has been justified, given the variations of analytical time horizon, expected emission trends and repair emissions. In this way, the low-carbon renewal decision method could build a quantitative basis for judging the urgency of functional updating and verifying the low-carbon benefits of immediate concrete recycling in up-coming urban renewals. • Low-carbon bridge renewal decision optimizes renewal timing and strategy. • System boundary is expanded for quantifying benefits from functional updating. • Emission trends and time-dependent characterization factors are explored. [ABSTRACT FROM AUTHOR]

The mitigation of climate change requires that agricultural development would proceed in accordance with green and sustainable practices. This implies that economic performance should be improved while minimizing the impact on the environment. One way to assess the underlying costs of sustainable agricultural development, and to model the relationship between the environment and the economy in general, is to use the carbon shadow price (CSP). In this paper, we utilize a by-production model within a non-parametric framework to estimate the agricultural CSP from 1997 to 2020 in 31 provinces of China. The patterns of the agricultural CSP are unveiled through kernel density analysis and convergence tests. Additionally, this paper constructs a comprehensive agricultural informatization indicator using the entropy method. We then empirically investigate its influence on agricultural CSP. The results reveal that China's agricultural CSP has demonstrated consistent growth over the past two decades which suggests serious improvement in environmental performance. Furthermore, the CSP show cross-province variation, albeit with conditional β convergence. Our empirical findings indicate that agricultural information technology contributes to an increase in CSP, thereby indicating its positive role on the green growth of agriculture in China. [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]

European Union member states are dedicated to bring standards and create climate change mitigation strategies at the center stage of public policy, prioritizing energy sector's transition from non-renewable to renewable sources by the means of innovation. Though there are a plethora of studies on determinants of environmental degradation, the nexus between fiscal decentralization and ecological intensity has been lacking of empirical evidence. To bridge this shortcoming, this study aspires to investigate the direct impact of fiscal decentralization, economic abundance, human capital, energy use and green innovation on environmental degradation and how green innovation moderates the impact of fiscal decentralization on environmental degradation. Using the theoretical setting of environmental Kuznets curve (EKC) phenomenon, this study analyzes the determinants of environmental degradation measured by ecological intensity and carbon intensity respectively across the nine European Union member states over the time span from 1995 to 2018. This study built upon a panel Method of Moments Quantile Regression (MMQR) with fixed effects and the ordinary least squares (OLS) regression with Driscoll-Kraay (DK) standard errors to validate the appropriateness of the EKC hypothesis in the observed sample authenticating the inverted U-shaped pattern between economic abundance and environmental degradation. Insofar as the direct impacts are considered, human capital and green innovation are efficient in abating environmental degradation of the countries under examination whereas energy use and fiscal decentralization aid in to environmental degradation. Regarding the indirect impacts, green innovation negatively moderates the association between fiscal decentralization and both indicators of environmental degradation namely, ecological intensity and carbon intensity. In the light of these findings, it is imperative for European Union member states to authorize the local governments to reduce pollution through innovation in climate change mitigation technologies to reinforce the Sustainable Development Goal (SDG) 12. [ABSTRACT FROM AUTHOR]

Achieving net-zero emissions requires widespread climate change mitigation technology (CCMT) adoption. However, there are two main challenges to overcome: CCMT innovation and diffusion. On the innovation front, existing CCMTs are insufficient for the goal of net-zero emissions. On the diffusion front, patent ownership concentration may restrict access to the existing CCMTs. To the best of available knowledge, this study is the first to pinpoint firm-level financial factors that impact the rate of CCMT innovation and to examine patent ownership concentration in CCMT domains. Analyzing balance sheets and patent data from US public firms (1976–2020), the paper documents significant CCMT patent growth, driven by large, established firms with ample debt, and smaller firms increasing equity issuance post-2008. This CCMT surge may be partly resulting from reductions in post-2008 corporate debt yield and equity price hikes, enabling external funding, especially for smaller firms, with potential policy implications concerning the role of monetary policy. While most CCMT domains see dispersed ownership concentration, there has been a noteworthy rise in ownership concentration in several CCMT domains. This development could potentially impede innovation and has substantial implications for industrial policy. [ABSTRACT FROM AUTHOR]

Renewable energy consumption is a crucial aspect of global sustainability efforts, particularly in light of climate change mitigation and the pursuit of energy security. Technological innovation can play a pivotal role in driving the advancement and adoption of renewable energy. However, geopolitical risks can exert profound influences on the landscape of renewable energy deployment, posing challenges to energy security and the transition to a sustainable energy future. This study contributes to the existing literature by providing new empirical evidence on how geopolitical risk, along with technological innovation, environmental taxes, and environmental degradation affect renewable energy consumption in G7 countries. The findings indicate that geopolitical risks exert a negative influence on renewable energy consumption in G7 countries, whereas environmental degradation, technological advancements, and environmental taxes have positive effects. The results further indicate that at different quantile levels, the impact of each variable on renewable energy consumption has heterogeneous characteristics. Panel Grager causality results revealed a one-way causal relationship between environmental taxes and renewable energy consumption, while other variables have a two-way causal relationship with renewable energy consumption. Based on the results, the study suggests design policies to address geopolitical tension, increased funding for research and development to drive technological innovation, and supportive regulatory frameworks that incentivize renewable energy investment and innovation to achieve Sustainable Development Goal 7 (SDG7). • Explored the determinants of renewable energy consumption in G7 countries. • Advanced panel data estimation methods are employed. • Geopolitical risk negatively affects renewable energy consumption. • Technological innovation and taxes promote renewable energy consumption. • Designed a policy framework to achieve Sustainable Development Goal 7. [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]

Temporary carbon storage and substitution benefits of harvested wood products (HWPs) aid in mitigating global warming. However, the extent of this effect remains unclear. Current studies typically rely on a simple summation of the annual carbon sink. This method overlooks the fact that, due to radiative forcing delay, each ton of carbon sequestered has an impact on global warming, which dynamically changes year by year. Such an oversight could lead to an underestimation of HWPs' contribution to global warming mitigation. This study focused on a forestry resource-based city in Northeast China and utilized the Carbon Budget Model for the Canadian Forest Sector (CBM-CFS3) and dynamic life cycle assessment (DLCA) to quantify the dynamic global warming impact (DGWI) of forestry biogenic carbon. The results indicate that: 1) From 2020 to 2120, the maximum DGWI could reach −42.70 Mt CO 2 e. Enhancing the collection and utilization of harvesting residues and promoting products with longer lifespans and higher substitution potential can further increase these benefits. 2) The DLCA method, integrating substitution effects, offers a more precise evaluation of forestry's climate mitigation benefits. Across all scenarios and periods in this study, HWPs' contribution to mitigating global warming, as calculated by the DLCA method, exceeds that estimated by the simple carbon sink summation method by 7.70 %–560.72 %. These findings help to delve deeper into the role of forests in emission reduction and carbon sequestration, providing important references for achieving sustainable forestry management. • Developing and strategically using HWPs positively impacts global warming mitigation. • Method of simply summing up carbon sinks undervalues HWPs' cumulative climate impact. • DLCA method helps assess dynamic global warming impact of forestry biogenic carbon. • Forest management should balance wood production and climate mitigation. [ABSTRACT FROM AUTHOR]

This study introduces a trade-off evaluation system, the Σommit index, which considers four components: crop yield, soil carbon stock changes, direct and indirect nitrous oxide emissions, and nitrate-nitrogen leaching across alternative agronomic case scenarios, i.e., combinations of management practices within specific pedo-climatic conditions. The four trade-off components have been estimated by combining standard equations and emission factors from the Guidelines for National Greenhouse Gas Inventories, complemented with Grey Water Footprint accounting Guidelines and other meta-analyses. The Σommit index has been developed using a harmonised dataset of ∼1.8 million agronomic case scenarios, leveraging fuzzy logic to aggregate the trade-off components into a value ranging from 0 (bad) to 1 (good). It has been tested under three narratives reflecting stakeholders' sustainability priorities (young farmers, agrochemical companies, EU Common Agricultural Policy paying agency), using alternative weighting schemes derived from expert opinion. Adding organic matter input, intermediate N fertilisation (50–150 kg ha−1), no-tillage, winter cereal cultivation, and irrigation for summer cereals have consistently achieved higher performance across all narratives. When assigning a higher weight to soil carbon stock changes, a broader range of Σommit index values emerged, while assigning higher importance to crop yield has led to a narrower evaluation. We openly release the dataset of agronomic case scenarios, along with the scripts to replicate the methodology and an interactive dashboard to inspect the results. These resources are meant to be used by different stakeholders (e.g., policymakers, Common Agricultural Policy payment agencies, farms, agrochemical industry) as a complement to the Intergovernmental Panel on Climate Change methodology to improve current understanding and awareness of environmental trade-offs and synergies in agricultural management. • The fuzzy-based Σommit index for evaluating trade-offs and synergies in agriculture is presented. • Four components have been considered: soil C changes, N 2 O emissions, NO 3 –N leaching, crop yield. • Methodologies for their estimation derive from IPCC guidelines for national GHG inventories. • Fuzzy-logic synthesised the effect of alternative management practices into a 0–1 value. • Agronomic case scenarios have been assessed according to different stakeholders' priorities. [ABSTRACT FROM AUTHOR]

Identifying transmission sectors that may not be revealed by existing indicators, such as production-based emission (PBE) and consumption-based emission (CBE) accounting, is significant in emission reduction policies and provides insights into novel opportunities for companies and industries to reduce emissions. This study proposed an intermediate-based emission (IBE) accounting approach that considers indirect emissions from intermediate goods production and a case study was conducted using Exiobase 3.8. The highest IBE sector was 'basic iron' (1131 Mt-CO 2), and the sector's IBE was higher than its PBE (1052 Mt-CO 2). Additionally, the material sector, such as aluminum products (326 Mt-CO 2), was identified as a key transmission sector, although PBE (21 Mt-CO 2) and CBE (3 Mt-CO 2) of the sector is very low. In addition, IBEs were observed to be closely related to overall supply chain emissions in Germany, Japan, and Asia, and cooperation is required to reduce the emissions. The method enables approaching supply chains with large emissions from three perspectives (production-, consumption-, and intermediate-based accounting) and exploration of the emission reduction responsibilities of the three key sectors. The utility and discussion of the approach are consistent with Scope 3 emissions and facilitate fair allocation of emission reduction responsibilities to a larger number of countries and industries. • This study suggested intermediate-based emission (IBE) accounting. • Industries such as basic iron have high production–based emissions but higher IBE. • Intermediate industries not focused on by existing emission accounting identified. • Existing betweenness-based emission accounting much higher than actual emissions. • Germany, Japan, and Asian HEMs have strong correlation with IBE. [ABSTRACT FROM AUTHOR]

Crop residue burning is a common practice in many parts of the world that causes air pollution and greenhouse gas (GHG) emissions. Regenerative practices that return residues to the soil offer a 'no burn' pathway for addressing air pollution while building soil organic carbon (SOC). Nevertheless, GHG emissions in rice-based agricultural systems are complex and difficult to anticipate, particularly in production contexts with highly variable hydrologic conditions. Here we predict long-term net GHG fluxes for four rice residue management strategies in the context of rice-wheat cropping systems in Eastern India: burning, soil incorporation, livestock fodder, and biochar. Estimations were based on a combination of Tier 1, 2, and 3 modelling approaches, including 100-year DNDC simulations across three representative soil hydrologic categories (i.e., dry, median, and wet). Overall, residue burning resulted in total direct GHG fluxes of 2.5, 6.1, and 8.7 Mg CO 2 -e in the dry, median, and wet hydrologic categories, respectively. Relative to emissions from burning (positive values indicate an increase) for the same dry to wet hydrologic categories, soil incorporation resulted in a −0.2, 1.8, or 3.1 Mg CO 2 -e change in emissions whereas use of residues for livestock fodder increased emissions by 2.0, 2.1, or 2.3 Mg CO 2 -e. Biochar reduced emissions relative to burning by 2.9 Mg CO 2 -e in all hydrologic categories. This study showed that the production environment has a controlling effect on methane and, therefore, net GHG balance. For example, wetter sites had 2.8–4.0 times greater CH 4 emissions, on average, than dry sites when rice residues were returned to the soil. To effectively mitigate burning without undermining climate change mitigation goals, our results suggest that geographically-target approaches should be used in the rice-based systems of Eastern India to incentivize the adoption of regenerative 'no burn' residue management practices. • Efforts to build SOC for climate change mitigation, while simultaneously avoiding burning, may have unintended consequences. • Tier 1, 2, and 3 modelling approaches were used to compare no-burn rice residue pathways. • Field hydrology had a dominant effect on methane emissions. • Soil incorporation of residues increased emissions relative to open burning, except in comparatively dry fields. • Biochar is estimated to have the lowest GHG emissions of the evaluated 'no burn' alternatives. [ABSTRACT FROM AUTHOR]

The green energy transition is aimed at mitigating the impact of climate change. Yet, the current emphasis on 'green' is narrowly centred around decarbonisation, or CO 2 reduction, often side-lining the roles of other gases, such as sulphur hexafluoride (SF 6) and PCF-14 (CF 4), which have a respective 24,300- and 7380-times higher global warming potential than CO 2 on a time horizon of a century. In addition, any energy transition is a complex affair that simultaneously impacts the environmental, economic and social systems, with significant system-level interactions. For example, the material requirement for renewable energy is known to be substantial, at a factor of 15 times greater than natural gas-based energy for offshore wind generation, and almost 7 times greater for solar. The resulting increased competition for materials is reducing the appetite for global collaboration. In addition, the global capacity to deploy renewable energy technology or participate in climate change mitigation is geographically variable and no single solution is universally viable. This study examines an expanded definition of 'green' energy and proposes a beyond-decarbonisation approach that is more comprehensive and globally inclusive, in pursuit for a sustainable transition. The increased diversity of our approach promises advantages such as heightened global collaboration, diminished geopolitical tension, improved energy access, expanded market opportunities, and socio-environmental co-benefits. Strategies pivotal to this approach involve understanding the role of carbon-based energy systems in the transition, amplifying renewable resources, augmenting cross-sector energy efficiency, implementing effective carbon markets, and integrating nature-based as well as carbon removal technologies. Moreover, it is imperative to implement all-cost and all-benefit monitoring and evaluation systems to optimise existing decarbonisation methods systematically. This could entail the use of composite metrics that normalise the gain in climate change mitigation against economic, social or environmental metrics. Addressing societal apprehensions requires a focus on pragmatic and fair outcomes, geopolitical stability, market impacts, developmental objectives, effective public engagement, and recognition of the role of enterprises. Policymakers are important in fostering global synergy by implementing policies that encourage international collaboration, investment, enterprise engagement, institution fortification, and cross-sector policy integration. • The green energy transition is currently mainly decarb-centric. • We propose a beyond-decarbonisation approach that is multi-faceted and inclusive. • Realistic strategies and achievable targets will ensure a sustainable transition. • Inclusion supports developing nations, facilitates knowledge and technology transfer. [ABSTRACT FROM AUTHOR]

Environmental risk assessment and management have become critical issues facing global climate change and its multifaceted consequences. The 2030 United Nations Sustainable Development Goal (SDG) 13 prioritizes a sustainable environment and urgent climate change mitigation. The present study aimed to make accountability of environmental risk through green finance, financial development, policies, and regulations in SAARC countries. Using data from 2005 to 2022, the panel quantile regression (PQR) approach is applied to estimate the long-run coefficients at lower, middle, and upper quantiles. Overall, the study results indicate heterogeneity in the parameters impacting the environmental risk in SAARC. The findings from the PQR unveiled that green finance contributes to mitigating environmental risk in higher quantiles. Financial development contributes to environmental risk in the middle (40th to 60th) and higher quantiles (70th to 90th). It is concluded that the appropriate business regulatory framework reduces environmental risk in higher quantiles, and poor and low-rated policies increase it in the middle, and higher quantiles. Nevertheless, foreign direct investments increase environmental risk in lower and middle quantiles. Overall, there is a heterogeneity in the results; however, the amplitude of their parameters varied substantially. The quantile slope equality (QSE), symmetric quantile (SQ) tests, and fully modified ordinary least square (FMOLS), also confirmed the robustness of the results. Finally, the empirical findings of this study have prudent policy implications for the stakeholders concerning environmental risk. [Display omitted] [ABSTRACT FROM AUTHOR]

Appropriate watershed management must be implemented as an adaptation and mitigation action for climate change. Therefore, community-based watershed management (CBWM) has been introduced as the best practice for watershed management. This study provides a comprehensive review of the community-based approach as an appropriate option for managing watersheds, which is also helpful in adapting and mitigating climate change, especially in developing countries. In addition, this study systematically summarizes and analyzes the critical success of participatory CBWM activities. Systematic literature network analysis (SLNA) was used to analyze current research trends, gaps, and future research directions. A bibliometric study found that the number of publications on CBWM has increased over the years. Several terms and keywords showed the study's trends, topics, and research gaps. The research began with forest management as part of watershed management, and then shifted to the impact of climate change on watershed management. This study found that community participation in CBWM is influenced by three dimensions: socioeconomic, institutional, and technical factors. To increase participation, these factors should be considered when implementing the CBWM in a region. This study is essential to fill the knowledge gap in watershed management, especially when implementing CBWM as a policy directive on water resources. • Current research trends and gaps of CBWM study are identified using hybrid review. • CBWM is an appropriate option in adapting and mitigating climate changes. • Community participation is an essential part for watershed management program. • Several factors influence the participatory of community in watershed management. [ABSTRACT FROM AUTHOR]

Bioenergy with carbon capture and storage (BECCS) is regarded as a crucial negative emission technology (NET) in many prospective climate change mitigation scenarios that limit global warming below 2 °C. However, there is still insufficient understanding of the overall life cycle environmental performance of different BECCS configurations. Despite the fact that BECCS entails many technological combinations, the technology is still regarded as a single "black box" technology in most climate scenarios. This study presents a critical review of life cycle assessment (LCA) on a wide range of BECCS options: biomass direct-fired power generation, biomass gasification power generation, bio-hydrogen production, biomass application in industry sectors and other biomass conversion processes, such as pyrolysis and fermentation. It is evident from the review that the biomass direct-fired and gasification power plant with a 100% biomass firing ratio and the gasification-based bio-hydrogen processes have a strong potential to achieve negative emissions. However, the net negative life cycle emissions range widely among studies for each configuration due to variations in technology, LCA methodology and assumptions. Additionally, there is an insufficient assessment of comprehensive environmental impacts for BECCS systems other than GWP, making it still unclear about the trade-offs between the benefit from climate change mitigation and potential negative impacts. Main recommendations for improving LCA on BECCS include developing a generalized guideline and standardization for BECCS LCA, conducting LCAs with comprehensive impact categories, focusing on BECCS configurations being overlooked, considering the impact of land use change and the global warming potential of biomass, and extending LCA in both temporal and spatial dimension. [Display omitted] • Systematically review of life cycle assessment on BECCS systems. • Detailed review on various biomass conversion technologies. • Net negative life cycle emissions range widely among studies. • Insufficient studies of some biomass conversion pathways. • Insufficient studies on multi-environmental environment impact categories. [ABSTRACT FROM AUTHOR]

With emphasis on constructing low-carbon cities, the renovation of old communities highlights the importance of renewing rainwater management facilities. Rain garden is an exceptional Nature-based Solution for rainwater management. When applying them to renovate old communities, the carbon footprint should be considered. This study focused on renovating facilities in the Greater Bay Area and utilized the Energy Expert platform to calculate rain garden carbon footprint with the Life Cycle Assessment. The carbon reduction benefits during the operation were estimated. This study accounting the life cycle carbon footprint of the 5455 m2 rain garden was 1117.42 tCO 2 e. The carbon footprint contribution, from highest to lowest was the end-of-life phase, materials production phase, construction phase, use and maintenance phase. Regarding carbon emission inventory, waste soil landfill, fertilizer acquisition, and waste soil recycling ranked high. Transportation also accounted for a remarkable carbon emission. The rain garden showed great potential for climate change mitigation, with a total and net carbon reduction of 1927.41 and 809.99 tCO 2 e, respectively. To reduce the carbon footprint of the rain garden, we should focus on waste soil treatment and transportation. Recommendations included increasing waste soil recycling, in situ recycling and green transportation. [ABSTRACT FROM AUTHOR]

Rational decision or moral norm factors are often used to explain pro-environmental behavior. However, the types of factors that influence farmers' high-cost production behavior (climate change adaptation and mitigation) have not been explored. In response, this study constructed competitive models from multi-theoretical perspective, including the Theory of Planned Behavior (TPB) and the Value-Identity-Personal norm (VIP) model, which demonstrated rational decision-making factors and moral norm factors, respectively. We collected data from 912 farmers in the Jiangsu and Shaanxi provinces in China by means of a questionnaire survey and empirically tested the explanatory power of the models via partial least squares-structural equation modeling (PLS-SEM). The findings suggested that rational decision factors, including perceived behavioral control and attitudes, are better predictors of farmers' climate change coping behavior than moral norm factors, such as subjective norms. There remained a disconnect between the willingness to mitigate formed via perceived behavioral control and the actual behavior, and farmers who actually adopted mitigative climate-change behaviors still faced difficulties or had no control over the outcome. In addition, the effect of altruistic values on mitigating behavior (which predicts future benefits) was more pronounced. These findings pointed to rationality as the primary driver or motivation of pro-environmental behaviors in agricultural production, whereas the explanatory power of morality remained weak. [ABSTRACT FROM AUTHOR]