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Related Experiment Video

Updated: Jun 23, 2026

Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe
09:34

Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe

Published on: December 4, 2016

Bridging the SME reporting gap: A new model for predicting Scope 1 and 2 emissions.

Alec Phillpotts1,2, Anne Owen1, Jonathan Norman1

  • 1Sustainability Research Institute, University of Leeds, Leeds, UK.

Journal of Industrial Ecology
|June 22, 2026
PubMed
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A new statistical model predicts Scope 1 and 2 emissions for small and medium-sized enterprises (SMEs) using financial data. This accessible approach aids SMEs in sustainability efforts and emissions reporting.

Area of Science:

  • Environmental Science
  • Data Science
  • Business Analytics

Background:

  • Small and medium-sized enterprises (SMEs) are crucial to the economy but often excluded from formal emissions reporting.
  • Existing emissions estimation methods for SMEs are either too general (sectoral averages) or too resource-intensive (firm-level data).
  • SMEs are frequently under-engaged in sustainability initiatives due to data and resource constraints.

Purpose of the Study:

  • To develop and validate a novel statistical model for predicting Scope 1 and Scope 2 greenhouse gas emissions for SMEs.
  • To provide an accessible and scalable emissions estimation tool for a segment of businesses typically lacking formal reporting capabilities.
  • To enhance the climate engagement of smaller businesses through simplified emissions data.

Main Methods:

Keywords:
SMEsemission modelingfinancial transaction dataindustrial ecologyscope 1scope 2

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Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions
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Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions

Published on: June 12, 2016

Related Experiment Videos

Last Updated: Jun 23, 2026

Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe
09:34

Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe

Published on: December 4, 2016

Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions
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Design and Use of a Full Flow Sampling System (FFS) for the Quantification of Methane Emissions

Published on: June 12, 2016

  • Trained a statistical model on financial transaction data from over 100,000 UK SMEs.
  • Evaluated various predictors, including industry-level variables and basic emission intensity.
  • Assessed model performance using R-squared (RSQ) values and out-of-sample testing, comparing against sector-level estimates.

Main Results:

  • The model achieved high predictive accuracy with RSQ values of 0.89 for Scope 1 and 0.72 for Scope 2 emissions.
  • Incorporating industry-level variables significantly improved predictive accuracy compared to basic emission intensity.
  • The model demonstrated diminishing returns from increased complexity, supporting a parsimonious design and improving accuracy by up to 50% over sector-level estimates.

Conclusions:

  • A novel, data-driven statistical model offers a simpler and more accurate method for SME emissions estimation.
  • The model leverages accessible financial data, overcoming barriers to sustainability reporting for smaller businesses.
  • This approach can support broader climate action and engagement among SMEs.