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The research finds that while the EU's new Public Procurement Data Space (PPDS) tracks the intent of green procurement, it currently lacks the granular data needed to measure actual environmental outcomes. A pilot study using spend-based estimation on German data shows that applying green criteria to all procurement in the construction and vehicle sectors could yield carbon savings significantly higher than those currently achieved by green-tagged contracts. The authors argue that targeted improvements to data consistency and item-level reporting would allow the PPDS to move from tracking 'boxes ticked' to measuring real-world impact.

The document presents the 'geographic spillovers' feature of the SDG Synergies tool, designed to analyze how Sustainable Development Goal (SDG) interactions operate across different geographic scales. A pilot exercise in Monterrey, Mexico, focused on the Nuevo Leon State Climate Change Program (PECC), found strong synergies and no trade-offs between state-level objectives and metropolitan-level actions, particularly in water management, disaster risk reduction, and renewable energy. The authors recommend using this tool to enhance vertical policy coherence and suggest that identifying these interactions should be followed by an assessment of the coordination mechanisms that operationalize them.

RMI conducted pilots with BCG, Roland Berger, and Estuaire to compare contrail accounting methods. The results show that a bottom-up, flight-specific approach is significantly more accurate than the standard 1.7x multiplier, revealing that 2% of flights cause 80% of contrail impacts. The report advocates for a phased transition toward high-fidelity accounting to enable targeted corporate travel policies and alignment with emerging EU regulations.

The Carbon Rating Framework, developed by the Climate Policy Initiative (CPI), aims to integrate emissions performance into financial decision-making by assigning companies a rating from CR1 (lowest emissions) to CR10 (highest emissions). Phase 2 involved testing this framework on a sample of 50 companies, using a weighted average of current emission intensity (70%) and projected intensity (30%) normalized by revenue. The testing demonstrated the framework's ability to differentiate emissions across diverse sectors, though it highlighted limitations regarding the availability of projected emissions data and the volatility of revenue as a normalization metric. Future directions include integrating Scope 3 emissions, aligning with India's Nationally Determined Contributions (NDC), and utilizing sector-specific intensity metrics.

The Stockholm Environment Institute (SEI) conducted a pilot study to evaluate the SEI AI Reader, an LLM-based tool designed to extract data from policy documents. By testing the tool against human analysis of four documents using an analytical framework of 12 variables and 46 questions, researchers found the AI achieved approximately 85% accuracy and consistency between 69% and 90%. The study highlights that iterative prompt refinement—specifically combining broad structured queries with specific analytical questions and using 'context variables'—is essential to avoid generic responses. The authors conclude that AI-generated data is sufficiently high-quality for academic scrutiny, offering a scalable way to synthesize grey literature on climate policy implementation.

Project Drawdown analyzed the NDCs of eight African countries—Congo, Ethiopia, Malawi, Niger, Rwanda, Senegal, Tanzania, and Uganda—to identify synergies between climate mitigation and socioeconomic development. While all eight countries acknowledge poverty and gender mainstreaming, only Congo, Malawi, and Rwanda explicitly link climate solutions to specific human well-being dimensions. The analysis identifies 14 frequently cited solutions, such as Clean Cooking and Distributed Solar Photovoltaics, but notes the omission of other high-impact 'double-duty' solutions like Reduced Food Waste and Family Planning and Education. The report argues for recognizing Agriculture, Forestry, and Other Land Use (AFOLU) actions as both mitigation and adaptation tools and diversifying decentralized renewable energy to combat energy poverty in rural communities.

The report examines the use of environmental attribute certificates (EACs) via a book and claim model to scale lower-carbon steel and concrete. It argues that this mechanism allows organizations to fund upstream decarbonization even when they cannot directly procure low-carbon materials. The authors identify critical infrastructure needs—including certification schemes, standards, registries, and reporting guidelines—and share lessons from a Microsoft pilot, noting that the market is currently in early stages with a lack of fit-for-purpose accounting methods.

The pilot study in Bhutan's Mangde Chhu river basin demonstrates that eDNA metabarcoding can detect a wide array of vertebrate species, including rare and IUCN-listed threatened species, often complementing or exceeding the detections of traditional camera trapping. While the study identified 134 species and 201 unique vertebrate taxa, it highlighted significant gaps in the NCBI reference databases for birds and reptiles. The findings suggest eDNA is a cost-effective tool for monitoring high-value species like the tiger and Golden mahseer, though the authors recommend establishing national laboratories and expanding DNA databases to fully operationalize a national biodiversity monitoring framework.

The 'Clean and Productive Village' (VPP) framework aims to advance rural sanitation beyond the elimination of open defecation by integrating risk management (the 'Clean' pillar) and resource recovery (the 'Productive' pillar). In Burkina Faso, the framework focuses on the safe reuse of human excreta, animal waste, organic waste, ash, and greywater to enhance soil fertility and crop yields. Pilot implementations in three villages demonstrated high community interest in recycling nutrients, though perceptions of risk vary between human and animal waste. The report details participatory tools for diagnosis and capacity building, a monitoring system based on specific indicators, and emphasizes the necessity of collaborating with the agricultural sector to ensure the safe and effective application of recovered nutrients.

The report explores the integration of systems thinking into asset management to better assess sustainability impacts. It identifies six key dimensions of systems thinking—considering multiple sustainability dimensions, both positive and negative impacts, indirect effects, co-benefits and trade-offs, long-term perspectives, and the scale of impacts. The study finds that while there is interest among 'front runner' practitioners, the finance sector's reliance on quantitative, aggregated data and short-term horizons creates a significant barrier to operationalizing a systems approach. The authors argue that improved, standardized, and audited company reporting, particularly through EU regulations like the CSRD and EU Taxonomy, is essential to provide the data necessary for effective systems-level analysis.

The International Institute for Sustainable Development (IISD) developed a mapping framework and findings template to evaluate VLRs. The methodology is based on UN DESA's Global Guiding Elements and adapted to include Canadian-specific priorities, such as the Truth and Reconciliation Commission Calls to Action and OCAP principles. The framework consists of 11 categories and 101 sub-components. Pilot applications to VLRs from Kelowna, Winnipeg, Espoo, and Malmö indicate that while Canadian cities are making strides in reporting on Indigenous populations, there are significant gaps in disaggregated data and the description of specific local-level efforts to 'leave no one behind'.

The report evaluates the integration of small-format electric vehicles (EVs) with rural minigrids, finding that while EVs can be cost-competitive with petrol alternatives, their success depends on high vehicle utilization and business models tailored to local needs. A Nigeria pilot using a two-wheeler leasing model showed promise, whereas an India pilot using a battery leasing model for three-wheelers failed due to high operational costs and drivers charging via the subsidized grid. Technoeconomic modeling indicates that EV charging can lower minigrid tariffs, particularly when charging occurs during daytime solar production, though the impact is modest unless fleet utilization is significantly increased.

The report details a successful pilot study to extract high-quality mitochondrial DNA (mtDNA) from hawksbill turtle carapace samples, enabling the tracing of illegal tortoiseshell products back to their source populations. By comparing DNA from market products in Papua New Guinea and the Solomon Islands against a nesting baseline, the study demonstrated that most products likely originated from the Solomon Islands stock. The authors emphasize the need for a comprehensive regional genetic database (the 'Shell Bank') to reduce the number of 'orphan' haplotypes and improve the accuracy of forensic investigations into the illegal wildlife trade.

The document reports on a pilot study using 'cultural probes' and workshops with 13 UK households to understand the 'food journey' from shopping to disposal. It identifies a gap between perceived and actual food waste, noting that while many households claim to waste little, millions of tonnes are discarded annually. Key motivators for reducing waste include saving money and environmental concerns, while barriers include a lack of local composting facilities and retailer packaging. The study highlights that women often bear more responsibility for the early stages of the food journey, suggesting that waste-reduction campaigns focusing on shopping may disproportionately place the burden of change on women.

The document argues that gender equality is a human right and a prerequisite for sustainable climate adaptation, as women and men experience climate impacts differently and face distinct barriers to resources. It defines 'gender-responsive' approaches as those that actively challenge gender norms and inequalities rather than just acknowledging differences. The briefing provides a detailed framework for NAP teams, covering planning (e.g., using sex-disaggregated data), implementation (e.g., gender-responsive budgeting), and monitoring and evaluation (e.g., tracking women's empowerment). A pilot study of NAP documents from 15 countries in Asia, Africa, and the Americas found that while gender is often recognized as a cross-cutting issue, there is a lack of specific detail on implementation and resource allocation.

The report identifies that while Peruvian SMEs represent 99.5% of registered companies and face higher proportional energy costs than large firms, significant barriers—including lack of information, low economic incentives due to low energy prices, and limited financial mechanisms—hinder energy efficiency adoption. A pilot study of 12 SMEs in Lima's energy-intensive sectors (primarily manufacturing) demonstrated a strong business case for investment, with an average reduction in energy consumption of 15%, total annual financial savings of US$750k, and an average payback period of two years. Key recommendations include government-led market analysis, improved auditing standards, and the creation of partnerships between finance providers, consultants, and equipment suppliers.

The NAP Global Network conducted a pilot review of NAP-related documents in 15 countries, finding that while most countries include gender as a cross-cutting theme or principle, significant gaps remain. Key issues include the tendency to frame women solely as vulnerable groups rather than agents of change, a lack of transparency regarding the gender balance of participants in the planning process, and inconsistent integration of gender into specific adaptation options and monitoring and evaluation frameworks.

The paper introduces the Jurisdictional Risk Assessment (JRA), a tool developed by WWF-US and Global Forest Watch to quantify deforestation risks in Indonesia. By analyzing four 'Key Forest Areas'—Primary Forests, Protected Areas, Peatland, and Forest Estate—the JRA uses indicators such as forest loss percentages, fire density, and overlap with government palm oil concessions to score district-level risk. Findings indicate that while most districts lost up to 10% of primary forest between 2009 and 2012, a small number experienced losses up to 50%. The authors caution that the JRA is a partial assessment based on remote sensing and should complement, not replace, field validation and social data.

The report finds that residents in underserved Maryland neighborhoods perceive climate change risks similarly to the general state population but experience significantly higher rates of environmental harms, such as flooding and sewage overflows. While these communities support government action on climate and the creation of local resilience hubs, they report lower levels of social capital and resource accessibility. The study highlights a strong demand for energy bill assistance and community centers, suggesting that climate preparedness efforts should be integrated with broader community development and social resilience goals.

A pilot study in Accra and Maputo found that future climate information is not directly used in city planning, as socioeconomic vulnerabilities and governance issues currently outweigh climate concerns. The authors propose a 'co-exploration' approach that prioritises non-climatic stressors before integrating climate data to avoid over-weighting climate sensitivity in decision-making. Key barriers to science uptake include sparse and unverified historical observational data. Proposed adaptation options for both cities include upgrading drainage systems and improving urban planning and building code enforcement.