Decision Support - Stage 5

01 Review other jurisdictions’ integrated assessments 

Before launching a Stage 5 integrated assessment, invest time in a structured review of the most technically accomplished assessments completed by other jurisdictions. This is not merely a literature review exercise — it is an opportunity to identify methodological innovations, sectoral coverage decisions, data solutions, and benefit quantification approaches that your team can adapt, and to benchmark your own analytical ambitions against the current state of the art.

The three principal IAM platforms used in comprehensive assessments are LEAP-IBC, GAINS, and ABaCAS, each with a substantial body of published applications. LEAP (Low Emissions Analysis Platform), developed by the Stockholm Environment Institute, has been adopted by thousands of organizations in more than 190 countries, with at least 68,000 users worldwide and over 60 governments having used it to support their Nationally Determined Contributions (NDCs) submitted to the UNFCCC. The LEAP Publications Database now contains more than 4,800 records of LEAP-related publications — case studies, NDC analyses, methodological developments, and sectoral assessments — searchable by country, region, sector, topic, and publication type, with direct links to full publications wherever possible. This database is an essential first port of call for identifying exemplary studies in your region or sector of interest.

GAINS (Greenhouse Gas and Air Pollution Interactions and Synergies), developed at the International Institute for Applied Systems Analysis (IIASA), provides an integrated assessment framework that considers approximately 3,500 end-of-pipe measures for reducing emissions of eight major air pollutants alongside 350 options to reduce CO₂ through structural changes. GAINS has global coverage and dedicated regional implementations for Europe, Asia, China, and South Asia, and has extensively shaped EU clean air policy. Published GAINS applications are searchable through the IIASA publications archive (search keyword “GAINS”) or the GAINS resources page. Particularly instructive examples include the GAINS-based assessments conducted for the revision of the EU Gothenburg Protocol and for integrated assessments of short-lived climate pollutants in Latin America and the Caribbean, the latter conducted jointly by UNEP and the CCAC.

ABaCAS (Air Benefit and Cost and Attainment Assessment System), developed jointly by the US EPA, Tsinghua University, and an international team of environmental scientists, connects air pollution emissions control and costs with air quality benefits, health and economic impacts, and air quality attainment tests. Published ABaCAS applications are available through the ABaCAS publications database.

When reviewing studies across these platforms, pay particular attention to: how the assessment defines and quantifies the full benefits package (health, climate, ecosystem, economic); how technology costs are structured and updated; how uncertainty is characterized and communicated; and how findings are translated into policy-relevant outputs. The CCAC regional integrated assessments for Africa, Asia-Pacific, and Latin America and the Caribbean, also merit close review, as they are specifically designed to support SLCP action in developing-country contexts and illustrate the kind of rigorous approach emblematic of a Stage 5 analysis. Bring your team together for a structured review session, and document lessons learned in a format that directly informs your Stage 5 modeling design choices. 

02 Expand the policy scope of integrated assessment tools

Use your air quality management plans, climate action plans, and other key planning documents to identify the policy priorities for your jurisdiction. Looking beyond near-term GRAP measures, consider what has worked based on your Stage 3 decision support program identification and legislative and regulatory framework implementation, and what needs more attention over the next planning period (typically three to five years).

A Stage 5 integrated assessment is distinguished from its predecessors not only by greater technical depth but by greater policy breadth. In earlier stages, the IAM likely focused on a handful of priority sectors and a limited suite of ‘no regrets’ control measures. Stage 5 is the moment to systematically expand coverage to ensure that all significant emission categories are represented, all plausible policy instruments are evaluated, and all relevant planning horizons are incorporated.

Begin by mapping the policy landscape comprehensively. Convene a cross-ministerial working group that brings together staff from environment, energy, transport, agriculture, health, and finance ministries to review existing national and subnational commitments — NDCs, national clean air action plans, sectoral development strategies, and health sector targets — and identify where emission reduction obligations or opportunities exist that are not yet captured in your IAM scenarios. This mapping exercise often reveals important policy measures that were identified as priorities in planning documents but never modeled because they fell outside the initial IAM scope. Good examples of this exercise are found in the US EPA Megacities report for Santiago (2018) and the CCAC SNAP Initiative report Black Carbon Mitigation in Chile's Updated NDC (2020).

Expand your scenario architecture accordingly. In addition to a business-as-usual (BAU) reference scenario, develop scenarios that reflect: (1) full implementation of all currently committed policies and measures (sometimes called “on the books” or “on the way”); (2) a nationally determined clean air pathway aligned with WHO interim targets (see e.g. EEA, 2026); (3) a climate-aligned pathway consistent with NDC or net-zero commitments (sometimes including “additional measures” or “reach goals”); and (4) an integrated climate-and-air-quality optimization scenario that identifies the policy package delivering the greatest combined benefits at lowest cost. This last scenario type is particularly valuable for demonstrating to finance ministries and international development partners why integrated action outperforms parallel siloed programs (see this illustrated in the Global Economic Assessment of Climate and Clean Air (UNEP/CCAC, 2026) discussed under Step 3 below).

Ensure that your expanded scenario set is directly linked to the legal and regulatory framework under development, so that modeled policy measures correspond to instruments that are legally implementable within the planning horizon. Coordinate closely with the Legal Framework and Policy Design Guidance to ensure alignment. 

03 Broaden your economics and benefits analyses

Depending on what categories of benefits you currently include in your assessment framework, consider expanding to include health, ecosystem services, quality of life, tourism, visibility, economic productivity, cognitive impairment, and child development outcomes such as stunting. A Stage 5 benefits analysis aspires to represent the full social value of clean air improvements — not just the endpoints most easily quantified, but the broader range of impacts that collectively constitute the true case for action.

The economic case for clean air investment is increasingly well-documented at the global level. The World Bank estimates that air pollution cost the global economy US$8.1 trillion — approximately 6.1% of global GDP — in health damages (World Bank, 2022). According to the OECD, approximately 1.2 billion working days are lost globally each year due to air pollution, a figure projected to rise to 3.7 billion by 2060 without stronger action (OECD, 2016). The Our Common Air Commission report “Clean Air as an Asset” (2024) synthesizes the economic evidence across sectors and is a valuable reference for Stage 5 benefits framing. The Global Economic Assessment of Climate and Clean Air (UNEP/CCAC, 2026) examines the combined economic costs of air pollution and climate change policies, including market and non-market costs, with explicit quantification of global morbidity impacts and provides the most complete picture to date of the benefits and costs of integrated action. Recent reports document the investment case for clean air in both Ghana (UNDP, 2026) and Mongolia (UNDP, 2024) demonstrating the economic losses that the status quo is costing these governments.  

Beyond the direct health burden, liaise with colleagues conducting Environmental Impact Assessments (EIA) to expand your benefits analysis to consider benefits for tourism, agriculture and ecosystems. Further details and resources on monetising these and other environmental impacts can be found in the Environmental Impact Assessment Guidance, Stage 4.

• Tourism and visibility (see also Environmental Impact Assessment Guidance Stage 4, Step 8):  Evidence from China shows that a 1% increase in the Air Quality Index was associated with a 1.25% reduction in tourist numbers in major cities. In India, air pollution causes an estimated annual 0.7% reduction in tourist arrivals and US$1.7 billion in economic loss. Visibility degradation in scenic and protected areas — national parks, heritage sites, tourist zones — has measurable economic consequences that can be estimated through travel cost or contingent valuation methods (Majumdar et al., 2011). The effects of haze on transport systems, causing air and road travel delays, with additional business and social economic effects that could also be considered in benefits analysis.
• Agriculture and food security (see also Environmental Impact Assessment Guidance Stage 4, Step 3): Ground-level ozone — a secondary air pollutant driven by the same NOx and VOC emissions that contribute to PM₂.₅ — reduces global yield of staple crops including wheat, rice, soybean and maize by 4–12%, causing as much as 227 million tonnes (Tg) of lost yield annually. Within some countries, yield losses due to ozone can be much higher than these global averages. Crop yield losses can be integrated into the IAM using GAINS’ built-in ozone impact module or through companion crop-yield modeling using tools such as TM5-FASST or DO3SE as described in the text and resources for EIA.
• Ecosystem services (see also Environmental Impact Assessment Guidance Stage 4, steps 5, 6 and 7). Acid deposition, nitrogen eutrophication, and ozone damage to vegetation affect the provisioning and regulating services that ecosystems provide to economies. The GAINS model includes modules for quantifying acidification and eutrophication impacts on ecosystems; these can be linked to ecosystem service valuation frameworks such as those developed under the UN SEEA (System of Environmental-Economic Accounting) as described in EIA. Also consider including ozone impacts on timber harvests and carbon sequestration in your benefits analysis.
• Cognitive development and education: A growing body of epidemiological literature documents significant effects of chronic PM₂.₅ exposure on cognitive development in children, including reduced IQ, impaired school performance, and higher rates of attention and behavioral disorders. These impacts have lifetime economic consequences that can be estimated using human capital valuation methods (Early Childhood Matters, 2021).

For each benefit category, work with your health impact and environmental impact teams to identify the most appropriate quantification methodology and the most defensible local parameter values. The AQMx Health Impact Assessment Guidance and Environmental Impacts Assessment Guidance provide detailed step-by-step frameworks for structuring this expanded analysis. Where specific benefits cannot be quantitatively estimated, they should still be acknowledged and qualitatively described for decision-makers and the public to consider how quality of life can be improved through clean air, even where there may not be financial gain. 

04 Consider cost-benefit analysis or cost-effectiveness approaches

Some jurisdictions — including the United States — have historically preferred cost-benefit approaches that allow decision-makers to justify technology and policy costs based on a comprehensive accounting of the full range of monetized (and non-monetary) benefits of various programs. Other jurisdictions — such as the European Union — prefer to set health or environmental targets that must be achieved and assess the most cost-effective way to reach those goals. Both approaches require a detailed estimate of control costs, but cost-benefit analysis (CBA) also requires associating a monetary value on benefits that can be controversial to quantify, such as the value of human life, productivity losses from illness, informal labor, and environmental quality.

The distinction between these frameworks has significant implications for how you structure your Stage 5 analysis and how you communicate its findings. Under a CBA framework, the primary output is a net benefit estimate — the monetized benefits of a policy scenario minus its costs — which can be compared directly across alternative scenarios and used to justify regulatory decisions. The evidentiary record on CBA for air quality regulation is compelling: a retrospective assessment by the US EPA found that every US$1 spent on air pollution control under the Clean Air Act yielded an estimated US$30 in economic benefits, a ratio that has been influential in sustaining political support for air quality regulation over decades (US EPA, 2011). Research analyzing all major US Clean Air Act rules from 1997 to 2019 found that co-benefits — particularly those associated with PM₂.₅ reductions — made up a significant share of monetized benefits and were pivotal to the net benefit calculation in nearly half of all regulatory cases (Aldy et al., 2021).

Under a cost-effectiveness framework, the primary output is the cost per unit of environmental or health improvement achieved — for example, cost per premature death avoided, cost per DALY (disability-adjusted life year) averted, or cost per microgram per cubic meter of PM₂.₅ reduction. This approach sidesteps the most contentious valuation challenges (particularly the value of statistical life) while still providing decision-makers with a rigorous basis for comparing alternative policy instruments. GAINS’ optimization mode is specifically designed to identify the least-cost combination of abatement measures to achieve user-specified air quality or health targets, making it well-suited for cost-effectiveness analysis in a multi-pollutant, multi-sector context.

In practice, many jurisdictions at Stage 5 will benefit from presenting both frameworks in parallel: a cost-effectiveness analysis that identifies the least-cost pathway to achieve national standards or WHO interim targets, and a supplementary CBA that quantifies the full monetized benefits to make the affirmative economic case for investment. The OECD Cost‑Benefit Analysis and the Environment report provides a rigorous methodological foundation for the monetization of benefits, including guidance on value of statistical life (VSL) estimation across different income contexts (OECD, 2018). Engage your finance ministry early in the choice of framework, as their preference will determine which outputs receive the most attention in budget and regulatory deliberations. 

05 Conduct a microeconomic assessment

A natural first step toward understanding the full economic implications of clean air investment is to assess the sector-specific costs and the direct economic impacts of shifting to less-polluting technologies in key sectors. This microeconomic assessment captures the investment and operating cost implications of technology transitions at the firm and household level, as well as the direct employment and output changes in the affected industries, before those changes are fed into an economy-wide model.

For each key category sector in your IAM — residential energy, transport, industry, waste, and agriculture — develop a technology-by-technology cost characterization that covers: capital costs of cleaner equipment or infrastructure; operating and maintenance costs; fuel cost changes; expected technology lifetime and replacement cycle; and where applicable, avoided costs from reduced fuel expenditure or health spending. Marginal abatement cost curves (MACCs), which rank emission reduction measures by their cost per unit of emission reduced, are a particularly effective tool for communicating these sector-level economics to decision-makers and for identifying the measures that are cost-negative (i.e., where the financial savings exceed the technology investment costs). You may wish to go back to perform more refined analyses with the sector-specific tools utilized in Stage 2, Steps 4-7 of the Decision Support Guidance; however, GAINS includes built-in MACC generation capabilities, whereas for LEAP-IBC users, MACCs can be constructed from scenario comparison outputs.

On the investment side, a transition to cleaner technologies involves increased spending in new sectors — renewable energy manufacturing, battery storage, clean cookstove supply chains, public transit infrastructure, waste collection and processing facilities — that generates employment and economic activity. At the same time, reduced fossil fuel consumption and retirement of polluting equipment involves declining activity in traditional sectors. Mapping these directional shifts at the sector level, drawing on input-output data from national statistical offices or the GTAP (Global Trade Analysis Project) database, provides the building blocks for the macroeconomic modeling in Step 6 below.

For the household sector specifically, microeconomic analysis should assess distributional impacts: who bears the costs of technology transitions and who captures the benefits, disaggregated by income group, geography, and gender. Clean energy transitions that impose upfront capital costs on low-income households require financial mechanisms — subsidies, green credit facilities, pay-as-you-go schemes — to ensure equitable access (OECD 2024). Documenting these distributional dimensions strengthens the social and political case for clean air investment and directly informs the design of support programs. The AQMx Household Energy Sectoral Guidance provides a framework for analyzing these household-level dynamics. The LEAP model may also be useful for assessing distributional impacts through Affordability Reports that are an optional module included in the software. These reports examine the costs to consumers of different scenarios and how they compare to the incomes of those consumers (or the revenues of industrial consumers). The affordability of scenarios can be a good indicator of their achievability, and can also be important in helping to understand if pathways meet environmental social justice goals. 

06 Conduct a macroeconomic assessment 

Once the changes in investment patterns and technology costs are established at the sector level through the microeconomic analysis in Step 5, these can be fed into an economy-wide multi-sector model alongside the monetized co-benefits of clean air and climate mitigation to understand the full range of flow-through economic impacts in terms that decision-makers find most persuasive: GDP, changes in household disposable income, employment, and sectoral output.

Computable general equilibrium (CGE) models are the standard tool for this purpose. A CGE model simulates the full economy — production, consumption, trade, and labor — as an interdependent system, allowing analysts to trace how a shock in one sector (such as a shift away from coal combustion) ripples through supply chains, labor markets, and household incomes economy-wide. Several validated CGE frameworks have been applied to air pollution and climate policy contexts. The GEM-E3 model, developed jointly by IIASA and European academic partners, covers interactions between the economy, energy system, and environment, and is explicitly linked to GAINS for integrated air quality-macroeconomy analysis. For jurisdictions with more limited modeling capacity, the World Bank’s ENVISAGE model or their MANAGE-WB framework are available. Similarly, open-source CGE platforms such as GTAP-E provide accessible starting points. AFD’s GEMMES model takes into account climate dynamics (mitigation and adaptation) and the scarcity of natural resources in its assessment of macroeconomic, social and financial risks, making it possible to test transition policies.

A particularly powerful approach for Stage 5 is to couple the IAM outputs directly to a CGE framework. Research applying coupled GAINS-CGE analyses has demonstrated that the ratio of air pollution co-benefits to mitigation costs typically ranges from 1.5 to 2 even under relatively modest emissions reduction scenarios in both high-income and developing countries — and rises further under more ambitious mitigation pathways. A recent World Bank analysis found that integrated climate and air quality policy could reduce combined policy costs by approximately 40% compared to pursuing climate and air quality goals through separate, siloed programs (World Bank, 2025). This finding is a powerful argument for the integrated approach that Stage 5 embodies, and it should be highlighted prominently in communications to finance ministries and development partners.

Ensure that your macroeconomic modeling team is engaged with the IAM team from the outset, so that the sector-level technology cost and investment shift outputs from Step 5 are formatted appropriately for CGE model inputs. The macroeconomic outputs should be presented in a standardized format that maps directly to the national accounts framework used by your finance ministry and statistical office, to maximize the legibility and credibility of results in budget and investment deliberations. 

07 Link findings to climate commitments, Sustainable Development Goals, and development finance

A comprehensive Stage 5 integrated assessment generates findings that are directly relevant to multiple international commitments that your government has made — Nationally Determined Contribution (NDCs) under the Paris Agreement; the Convention on Long-Range Transport of Air Pollution (LRTAP); National Commitments to Sustainable Development Goals (SDGs) Transformation; and pledges under the Kigali Amendment or the Global Methane Pledge. Explicitly linking your IAM results to these commitments serves two strategic purposes: it demonstrates to domestic audiences that clean air investment is not a discretionary expenditure but a fulfillment of binding international obligations; and it positions your jurisdiction to access the growing pool of international climate and development finance that is explicitly tied to these frameworks.

Map each of your modeled policy scenarios against the relevant NDC targets. Quantify the contribution of clean air measures to nationally determined GHG reduction commitments and show how integrated air quality and climate action outperforms siloed approaches in NDC achievement per unit of investment. Present these results in a format consistent with the NDC reporting guidance under the UNFCCC, so that findings can be directly incorporated into your country’s next NDC update cycle.

Similarly, map scenario co-benefits against the SDG indicators most directly affected by air quality improvements — particularly SDG 3 (Good Health and Well-Being), SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities), SDG 13 (Climate Action), and SDG 15 (Life on Land). The multi-model framework linking energy system models, CGE models, and atmospheric source-receptor models, developed for global SDG-climate interaction analysis, provides a methodology template for this mapping exercise.

On the finance side, engage your international development partners, multilateral development banks, and climate funds early in the Stage 5 process with the analytical outputs. The State of Global Air Quality Funding 2025 report documents the current landscape of air quality finance, including the fact that total air quality funding declined 20% from 2022 to 2023, while need is increasing (Clean Air Fund, 2025). A well-documented Stage 5 assessment — with co-benefits mapped to SDGs and NDCs, and macroeconomic returns quantified in GDP and employment terms — is precisely the analytical product that multilateral development banks, green climate funds, and bilateral donors require to justify financing commitments. Invest in translating the technical findings into a concise investment prospectus format that speaks directly to the project appraisal criteria of your key finance partners. 

08 Share your findings with decision-makers

Work with your public engagement and communications staff to translate technical findings into policy-relevant messages and political narratives that resonate with decision-makers. Build the case for longer-term clean air investment in terms that decision-makers find most compelling: jobs created, household disposable income protected and increased, GDP growth supported, and healthcare expenditure avoided.

The most technically rigorous integrated assessment delivers limited policy value if its findings are communicated only through dense technical reports read by specialists. Stage 5 requires a deliberate and resourced communications strategy that produces differentiated products for different audiences — from executive summaries for ministers and senior officials, to infographics and data dashboards for public communication, to detailed technical annexes for regulatory and academic audiences.

• For political decision-makers, the most persuasive framing is economic and distributional. Lead with the headline economic return: as the US EPA documented, each dollar invested in air pollution control in the United States has historically yielded approximately 30 dollars in economic benefits. Frame the investment not as a cost of compliance but as a strategic economic opportunity — a driver of green industrial development, employment, and international competitiveness. Anchor this narrative in your own jurisdiction’s macroeconomic modeling outputs from Step 6, expressed in domestic currency and referenced against national economic priorities. Consider addressing scenario uncertainty directly by presenting decision-makers with the results of sensitivity analyses or Monte Carlo simulations. In a Monte Carlo approach, the model is run hundreds or thousands of times, with key uncertain parameters varied systematically across their plausible ranges, to generate a probability distribution of outcomes rather than a single point estimate. This gives decision-makers a realistic picture of how robust each scenario conclusion is — and, critically, under what circumstances the ranking of policy options might change. Communicating uncertainty in this way builds rather than undermines credibility: it signals analytical rigor, anticipates the objections of skeptical audiences, and frames the conversation around the range of likely outcomes rather than leaving decision-makers to discover the limitations of point estimates on their own.  
• For health ministries and public health officials, translate the IAM outputs into averted premature deaths, hospitalizations avoided, and DALYs gained, using the health impact assessment tools integrated into your analysis framework. WHO’s AirQ+ and US EPA’s BenMAP-CE are the two most widely applied and peer-reviewed tools for this purpose, with documented applications across multiple continents and hundreds of published studies. Both tools allow outputs to be expressed in terms — averted deaths, reduced hospitalizations, lower rates of childhood respiratory disease — that connect directly to health sector priorities and budget deliberations. These tools and methods are explored in detail in the Health Impact Assessment Guidance, Stages 1-5.  In particular, Stages 1 and 2 explore potential tools for assessing health impacts.
• For the public and media, develop visual communications products: interactive maps showing how ambient PM₂.₅ concentrations would change under different scenarios, charts showing health improvements by neighborhood or district, and short-form video content that puts a human face on the benefits. Review the Public Engagement and Communication Guidance for detailed guidance on communication strategy development, including digital engagement, citizen science, and open data approaches that extend the reach of your findings beyond traditional media.

Plan a stakeholder engagement process that brings key decision-makers — finance, health, environment, and industry ministries alongside city mayors, parliamentary committees, and development bank representatives — into the findings presentation before reports are finalized. Good examples of this type of process include the Integrated Assessment of Air Pollution and Climate Change for Sustainable Development in Africa cited earlier (CCAC, 2023), which was co-chaired by the Africa Union, as well as the UNDP air pollution project in Gurugram, India (see Annex 2 of the project report). Pre-consultation builds ownership, surfaces objections that can be addressed in the final product, and dramatically increases the likelihood that findings translate into policy commitments rather than sitting on a shelf. 

09 Assess progress and establish new regulatory and policy goals

Making the case for clean air is a continual process. Scientific advances and changes in policy priorities will always require ongoing assessment. Continue to refine your tools, assess past progress, and establish new targets aligned with current conditions and source structure. Stage 5 decision support is not a terminal state but a self-renewing cycle — and the institutionalization of that cycle is itself the ultimate deliverable of a mature air quality management program.

A Stage 5 retrospective assessment draws on the full arsenal of tools developed across all previous stages. Use updated emissions inventories to quantify actual emission trends relative to the baseline scenarios developed in earlier assessment cycles. Run your IAM in “policies implemented” mode, populated with actual technology adoption rates, compliance levels, and enforcement records from your regulatory monitoring system, and compare results against the scenario projections made at the time of the original regulatory analysis. Where outcomes diverged from predictions — whether better or worse than projected — investigate the underlying causes rigorously. Systematic over- or underperformance typically signals a specific data assumption, a behavioral response, or an enforcement gap that requires attention in the next planning cycle. Political change can sometimes result in backsliding, so having an analytical basis for documenting these instances can be important for informing future regulatory design to prevent such outcomes.

Pair the retrospective emissions analysis with an updated health impact assessment using WHO AirQ+ or BenMAP-CE, drawing on the most recent ambient monitoring data and updated baseline health statistics. Quantify the premature deaths, hospitalizations, and DALYs that have actually been averted relative to the counterfactual scenario and compare these against the benefits that were projected at the time of the regulatory analysis. This retrospective health impact assessment is a powerful accountability tool — it demonstrates to decision-makers and the public that the benefits promised in previous analytical cycles are being delivered in practice.

Use the retrospective findings to calibrate a new round of forward-looking scenario analysis, establishing updated targets for the next planning period. Where significant gaps remain between current ambient concentrations and WHO guidelines levels and interim targets or national standards, the new scenario analysis should identify the additional policy measures needed to close those gaps within a defined timeframe, with updated cost estimates reflecting current technology prices and availability. Align these new targets with the most recent WHO Air Quality Guidelines and with any updated NDC or national climate commitments, so that the next planning cycle further advances the integration of air quality and climate objectives.

Establish a formal, publicly reported assessment cycle — ideally biennial or triennial — that is institutionalized through legislation or regulation, with defined reporting obligations assigned to the relevant agencies and a parliamentary or executive oversight mechanism that receives and acts on findings. A Stage 5 program that operates on an ad hoc basis, dependent on individual champions or project funding, is inherently fragile. Institutionalization — through law, through budget lines, through established interagency coordination mechanisms, and through a trained and stably staffed technical team — is what transforms a sophisticated analytical capability into a durable governance asset that outlasts any single administration or funding cycle.

Finally, contribute your findings and methodology back to the global knowledge base. Submit key results to the LEAP Publications Database, the IIASA GAINS publications archive, or the ABaCAS publications database, and share your data and methodology through the AQMx Resource Exchange Library. The global air quality management community advances through shared learning, and a jurisdiction that has reached Stage 5 has both the capacity and the responsibility to contribute to that shared knowledge base.