TASA-EFX Advantage

Robust national accounts data - from which input-output models are constructed - are not available universally. TASA currently provides a core set of National models (~70% of Global GDP) leveraging primary, high-resolution, original data. From these, extended models are developed for geographies where input-out infrastructure and emissions reporting are lacking, or non-existent. Through the utilization of more representative technological and socioeconomic production systems, TASA-EFX provides the most accurate and reliable emission data possible.

TASA’s scientists leverage extensive economic and environmental data sources developed by governments, academics, and commercial and nonprofit organizations to ensure that the highest-resolution and most recently available data is made available for reporting, target-setting, and mitigation decision-making. Most importantly, TASA-EFX's disaggregated multi-tier design allows for deep hybrid-path exchange anywhere and in any supply chain, allowing users' primary foreground data to increasingly reflect the unique characteristics of company-specific decisions.

The comprehensiveness and granularity of TASA-EFX data allows for regional, technological, and organizational customization for corporate reporting and target setting. The structure and flexibility of TASA's National and rLCA models facilitates conformance with evolving guidance provided by the GHG Protocol, the Corporate Sustainability Reporting Directive (CSRD), International Sustainability Standards Board (ISSB), Science Based Targets Initiative (SBTi), and others. 

Particularly with scope 3 accounting, some practitioners will apply single region emissions factors (e.g., global averages or single-country values), while others might use highly aggregated global data or globalized data that relied on the economic relationship and technical context of a single economy. Each of these practices can lead to large errors in accounting. TASA-EFX mitigates the risk of misreporting your carbon footprint.