What are common mistakes to avoid when tracking emissions

Common mistakes in emissions tracking include incorrect data collection, lack of standardization, and inadequate scope definition. Incorrect data collection often arises from manual data entry errors or using outdated data, leading to inaccurate emissions calculations. Lack of standardization can result from not following established frameworks like the GHG Protocol, leading to inconsistencies in reporting and comparability issues. Inadequate scope definition means not clearly identifying the emissions sources or organizational boundaries, which can lead to incomplete emissions data. Additionally, failing to regularly update the emissions tracking system can result in outdated information that doesn’t reflect current operational realities. Another common mistake is neglecting to set clear emissions reduction targets, which can impede efforts to make meaningful progress. Finally, not involving key stakeholders in the emissions tracking process can lead to a lack of accountability and support for sustainability initiatives. Source: ScienceDirect, Source: EPA.gov. Key Takeaway: Avoid incorrect data, lack of standardization, and inadequate scope for effective emissions tracking.