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The Transport Emissions & Social Cost Assessment (TESCA) guide establishes a macro-level framework to quantify emissions and monetize social costs for 18 transport modes. It targets developing regions where statistical systems are weak, providing a process that includes data quality analysis, emissions inventory estimation, and the calculation of eco-efficiency indicators. The methodology was tested in Chengdu, China, and aims to support more cost-efficient policy-making by highlighting the uncertainties inherent in social cost and health cost data.

The document details the technical framework of Aqueduct's future projections, which utilize the HYPFLOWSCI6 dataset and five General Circulation Models (GCMs) to estimate water supply, use, stress, depletion, and variability. It describes three socioeconomic and climate scenarios (SSP1-RCP2.6, SSP3-RCP7.0, and SSP5-RCP8.5) with temperature projections ranging from 1.3°C to 5.7°C by 2100. The guide emphasizes that these scenarios represent different development pathways rather than simple best- or worst-case outcomes, noting that higher economic activity in optimistic scenarios can actually increase water stress. Technical processing includes spatial aggregation at the HydroBASINS Level 6 sub-basin level and temporal aggregation using 10-year trailing moving averages for the years 2030, 2050, and 2080. Limitations are noted regarding irrigation data (projected only to 2050) and livestock water demand (held constant after 2014).

The World Resources Institute (WRI) employs a comprehensive greenhouse gas (GHG) accounting methodology covering Scope 1, 2, and 3 emissions. The inventory uses an operational control consolidation approach and has established 2019 as its base year for 2030 reduction targets. Scope 1 includes direct emissions from diesel generators and office refrigerators. Scope 2 utilizes both location-based and market-based methods for purchased electricity, incorporating renewable energy certificates for US operations. Scope 3 is the most extensive, covering purchased goods and services (Category 1) via a spend-based USEEIO model, fuel- and energy-related activities (Category 3), waste (Category 5), business travel (Category 6), employee commuting (Category 7), and endowment investments (Category 15). The methodology emphasizes the use of regional emission factors and annual staff surveys to estimate impacts across WRI's global network.