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Measurement to Action: Transforming Carbon Reporting with Innovative Proxy Data (Vancity-Climative)

Financial institutions face increased pressure to measure, disclose, and reduce their climate-related risks and financed emissions. Yet, it remains extremely challenging to access reliable data on a large scale. Climative partnered with Vancity, Canada’s largest community credit union, to test a novel way to quickly and more accurately measure financed emissions, so Vancity can set accurate emissions reduction targets, manage climate risks, and make progress toward net-zero targets by engaging homeowners. 

Click here to access the full whitepaper, “Measurement to Action: Transforming Carbon Reporting with Innovative Proxy Data”. 

The Challenge: Limited Data, Limited Action

Vancity, like most financial institutions, still relied on regional averages and low-quality data to measure its financed emissions. This typical approach meets PCAF DQS 4/5, representing high uncertainty, poor visibility into actual building performance, and low usefulness for decision-making.

Source: PCAF (Partnership for Carbon Accounting Financials), 2019

The core issue is the lack of reliable, building-level data. Obtaining accurate energy use, heating fuel type, and emissions factors from a variety of stakeholders is not realistic to implement at scale. Major barriers include: inconsistent data formats, privacy constraints, and the administrative effort required across thousands of properties. 

Without this granular data, financial institutions can’t translate emissions insights into actionable climate progress. 

The Solution: Climative’s Scalable Data Solution

Vancity partnered with Climative, a climate data company and PCAF-accredited partner. Climative’s Automated Carbon Model (ACM) uses machine learning, historic onsite energy audits, property-level features, and region-specific emissions factors to produce  accurate and scaleble building assessments. This methodology meets PCAF DQS 3 without requiring homeowner-provided data. 

While onsite audits require 200+ data inputs, Climative applied the ACM to each home using fewer than 10, including: 

  • Building age and type 
  • Floor area 
  • Weather zone 
  • Regional emissions factors 
  • Historical on-site audit data 

The model produced property-level estimates of energy consumption and greenhouse gas emissions, enabling DQS 3 assessments across the entire residential portfolio. 

Key Project Outcomes

  1. Major improvement in data quality (PCAF DQS 4/5 to DQS 3) 
  2. Strong alignment with onsite energy audits 
  3. Actionable portfolio intelligence 
  4. Stronger foundation for climate strategy 

Click here to access the full whitepaper, “Measurement to Action: Transforming Carbon Reporting with Innovative Proxy Data”. 

Why It Matters: Climate Progress and Homeowner Engagement

Improving data quality from DQS 4/5 to 3 represents an upgrade in financed emissions measurement but, more importantly, provides the foundation for an effecive decarbonization and homeowner engagement strategy. With property-level insights, a financial institution can: 

  • Identify high-risk, high-emitting homes 
  • Prioritize customers most likely to benefit from upgrades 
  • Build targeted financing programs 
  • Guide members toward energy and cost-saving renovations 
  • Strengthen portfolio resilience 
  • Demonstrate transparent progress toward net-zero targets 
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Next Steps

Data access advocacy: Vancity and Climative are exploring a national registry of building-level carbon and energy labels to align advocacy across financial institutions, data providers, regulators, and other stakeholders.  Expressions of interest can be directed to winston.morton@climative.ai. 

Climative projects: Climative’s emissions reporting solution is available to financial institutions, as well as our homeowner engagement platform powered by the ACM so financial institutions can offer home upgrade advice and the financing to make it happen. 

Essential reading:  

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Picture of Tianshu Huang

Tianshu Huang

Tian is a dedicated and creative statistical modeler who leads the development of Climative’s data strategy and machine learning algorithms. She believes that ethical and thoughtful use of AI will help us achieve climate goals while creating equal opportunity for all.

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