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The report examines how to effectively measure the sustainable development impacts of carbon market mechanisms, such as those under Article 6 of the Paris Agreement. It argues that the rigour and complexity of these assessments should be tailored to the programme's rationale to balance impact understanding with transaction costs. The authors provide a criteria-based checklist for creating objective indicators and emphasize that while pre-defined indicators are useful, stakeholder consultations and grievance mechanisms are essential to safeguard against negative impacts.

The report highlights a significant lack of transparency in Canada's reporting of fossil fuel subsidies, particularly regarding foregone revenue. It advocates for the use of the WTO definition of subsidies and the 'revenue foregone' method to accurately quantify tax expenditures and royalty subsidies, which the authors argue are essential for informed policy-making and meeting international climate goals.

The report finds that global adaptation finance is dominated by public development finance, with a heavy concentration in water and wastewater management. While finance often aligns with the most vulnerable sectors in specific countries like Pakistan, Zambia, and Niger, significant funding gaps remain relative to Nationally Determined Contribution (NDC) targets. The authors highlight critical data gaps in private sector and domestic public finance and recommend the use of new datasets from the Climate Bonds Initiative and CDP to improve tracking accuracy.

The report updates global climate finance averages for 2017/18 to USD 574 billion per year and provides a preliminary 2019 estimate of USD 608–622 billion. It highlights that mitigation dominates finance (93%), with renewable energy as the largest sector. The document also analyzes the disruptive effects of COVID-19, noting a tension between 'green' recovery packages and significant stimulus funding for carbon-intensive sectors.

The document examines how 'migration' and 'development' are defined and measured in quantitative research, highlighting a gap in evidence regarding migration aspirations, failed attempts, and involuntary immobility. It discusses the challenges of establishing causal links due to endogeneity—specifically reverse causality, self-selection, and omitted variables—and evaluates experimental and non-experimental methods to address these biases. The paper advocates for a holistic, multi-dimensional approach to development that moves beyond economic metrics to include social, institutional, and environmental outcomes.

The document provides a systematic analysis of how to measure people's thoughts and feelings about migrating. It introduces a conceptual model that deconstructs survey questions into five components: nature of the mindset, temporality of the mindset, nature of the action, temporality of the action, and conditionality. Through a review of over 50 surveys and field testing in Cabo Verde, the author argues that binary questions are generally more reliable than open-ended or scale-based ones and emphasizes the importance of distinguishing between preferences, expectations, and considerations of migration.

The document argues that standard quantitative and qualitative methods often fail to capture the non-linear, asymmetric, and multi-layered nature of the migration-development nexus. It presents QCA as a solution that identifies 'necessary and sufficient conditions' and 'equifinality' (multiple paths to the same outcome). The authors provide a guide to QCA implementation—covering calibration, consistency, and coverage—and review three case studies at the macro (EU sanctions in Africa), meso (agricultural change in China), and micro (internet penetration in Ghana) levels to demonstrate the method's utility. It concludes that QCA should be triangulated with other methods to provide robust evidence for policy.

The report argues that current LCAs for building materials often lack transparency and omit critical data, particularly regarding biogenic carbon in wood and operational emissions. It concludes that for energy-efficient, long-lived buildings in Canada, the choice of structural material has a negligible impact compared to operational efficiency, and recommends prioritizing building longevity and energy efficiency over material substitution.

The review concludes that the Eskom report significantly underestimates the health impacts and economic benefits of pollution abatement due to flawed modelling, incorrect response function selection, and an inappropriately high discount rate. The reviewers estimate that the benefits of action would exceed costs by a factor of 5 or more, which would reverse the original conclusions of the Eskom CBA.

The report argues that social inclusion is core to the green economic transition and that citizen-led dialogues are an effective tool for bridging the gap between local stakeholders and national policymakers. It documents experiences from seven 'Hubs'—the Caribbean, India, Mongolia, Peru, Senegal, South Africa, and Uganda—where multi-stakeholder processes were used to identify local priorities and influence policy. Key outcomes include the promotion of fly ash bricks in Bihar, India; the development of a Green-Blue Economy Strategy in the Eastern Caribbean; and the creation of a catchment management plan for the River Rwizi in Uganda. The document concludes with ten policy insights, emphasizing that inclusive transitions require embedded governance systems, robust institutional mechanisms for stakeholder voice, and a focus on 'nexus issues' that link social, economic, and environmental goals.

The document argues that the relationship between climate shocks and violent conflict is context-dependent, primarily affecting communal conflicts in resource-scarce areas with poor government services. It suggests that maintaining socio-economic development in poor, conflict-prone states is essential to minimizing the future impact of climate change on violent conflict.

The paper analyzes four prominent studies of the Clean Power Plan (CPP)—conducted by the EPA, NERA Economic Consulting, Synapse Energy Economics, and M.J. Bradley & Associates—to explain why they produce conflicting results regarding electricity bills. By comparing these studies against a range of independent expert forecasts and empirical data, the authors find a strong correlation between the optimism or pessimism of a study's underlying assumptions and its final economic conclusions. Specifically, studies assuming higher costs for solar and wind power and less interstate cooperation tend to project higher compliance costs, while those assuming rapid technological progress and high energy efficiency savings project lower costs or even decreases in electricity bills.

The document introduces agent-based modelling (ABM) as a bottom-up approach to study complex social and environmental systems by simulating the interactions of autonomous agents. It argues that ABM is particularly useful for problems involving decentralized interactions and non-linear dynamics where traditional top-down models fail. The authors highlight ABM's potential as a stakeholder engagement tool and its ability to be integrated with qualitative and quantitative methods like GIS and social network analysis. Four case studies are presented: disaster resilience in Turkey, agroforestry adaptation in Cameroon, biodiesel transitions in Malaysia, and artisanal fisheries management in Kenya.

The document outlines a framework for evaluating the ambition of mitigation commitments before and after the Paris Agreement. It reviews existing activities for assessing individual INDCs, discusses the necessary attributes and requirements for such assessments, and explores how these evaluations can be integrated into the UNFCCC process. The paper concludes with recommendations on a feasible path forward, identifying potential opportunities and challenges in the assessment process.

The report evaluates global natural forest loss using two proxy indicators: annual gross tree cover loss (Hansen/GFW) and annual net natural forest change (FAO FRA). While FAO data suggests a declining trend in net loss that could meet the 2020 target, Hansen/GFW data indicates that gross tree cover loss has remained high and actually increased by 9% between 2010 and 2014 compared to the 2001-2010 baseline. The document highlights the critical difference between gross and net loss, noting that net accounting can mask the loss of primary forests if they are replaced by regenerated forests, which have lower carbon storage and biodiversity value.

The document assesses the capabilities of various trade models—primarily Computable General Equilibrium (CGE) models—in quantifying the effects of mega-regional trade agreements like the TPP and TTIP. It identifies significant gaps in modelling foreign direct investment, value chains, and 'behind the border' issues such as intellectual property and government procurement. The authors argue that while CGE models are the most comprehensive tool available, they must be supplemented by gravity models, partial equilibrium models, and meta-analysis to provide a realistic assessment of these complex agreements.

The document argues that traditional techno-economic approaches to energy access are insufficient and proposes an ecosystem services lens to better understand how biomass use affects human welfare and the environment. It details three primary research methodologies: demand-side surveys, supply and value chain analysis, and economic modeling of consumer choice, with a particular focus on the charcoal sector in sub-Saharan Africa.

The document outlines a qualitative participatory scenario development (PSD) approach used to help stakeholders in developing countries anticipate climate change consequences and identify robust adaptation pathways. By combining backcasting—working backward from a desired future—with the introduction of climate and socioeconomic boundary conditions, the process identifies integrated 'hard' (infrastructure) and 'soft' (governance and training) adaptation measures. Key findings emphasize that place-based discussions bridge the gap between abstract global climate models and local policy needs, and that adaptation must be integrated with broader socioeconomic development to be credible and pro-poor. The authors highlight challenges including the cognitive difficulty of imagining long-term futures and the necessity of local collaboration to ensure ownership and relevance.

The paper argues that traditional disaster assessments rely too heavily on direct tangible costs, neglecting indirect and intangible impacts. It proposes a 'total cost' framework comprising four quadrants: direct tangible, indirect tangible, direct intangible, and indirect intangible costs. The authors review market-based, non-market-based, and economic system modelling techniques, concluding that while no single method covers all cost categories across all scales, benefit transfer is a critical tool for making comprehensive total cost estimations accessible at meso and macro scales.

The document evaluates a variety of decision support methods for climate change adaptation, categorising them into traditional tools (CBA, CEA, MCA) and those specifically designed for decision-making under uncertainty (ROA, RDM, PA, Adaptive Management, AHP). It highlights that while traditional tools are well-known, they often struggle with the deep uncertainties of climate projections. The brief details the strengths and weaknesses of each method, provides a diagnostic framework for matching tools to specific adaptation challenges, and lists case study applications across various sectors and geographies, including the UK, Finland, Spain, and Italy.