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Upright PlatformAbout Upright
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  • 💡Background
    • Why net impact?
    • Related frameworks
    • Open access to Upright data
  • 📊Metrics
    • Net impact
    • UN SDG alignment
    • SFDR Principal Adverse Impacts
    • EU taxonomy
  • 🌍Coverage
    • Off-the-shelf coverage
    • Custom coverage
  • 🧮Methodology
    • Net impact
      • Overview of the Upright net impact model
        • Extraction of causal links from scientific literature
        • Generalization of scientific knowledge
        • Allocation of impact across value chains
        • Estimation of company product mixes
      • Weighting of impacts
        • IOOI analysis -based monetization
        • Market-price-based monetization
        • Opportunity-cost-based monetization
      • Illustrative example in a simplified economy
        • Appendix: Primer in hierarchical Bayesian inference and Poisson-Gamma models
      • Data sources
    • UN SDG alignment
    • SFDR Principal Adverse Impacts
    • EU taxonomy
    • CSRD Double materiality
  • 📅Releases
    • Release cycle
    • Release notes
      • 1.8.0 (04 / 2025)
      • 1.7.0 (11 / 2024)
      • 1.6.0 (09 / 2024)
      • 1.5.0 (06 / 2024)
      • 1.4.0 (03 / 2024)
      • 1.3.0 (12 / 2023)
      • 1.2.0 (09 / 2023)
      • 1.1.0 (06 / 2023)
      • 1.0.0 (04 / 2023)
      • 0.8.0 (03 / 2023)
      • 0.7.100 (01 / 2023)
      • 0.7.0 (12 / 2022)
      • 0.6.0 (10 / 2022)
      • 0.5.0 (06 / 2022)
      • 0.4.0 (03 / 2022)
  • 💻API
    • Authentication
    • API reference
  • 📗Appendix
    • The Upright net impact framework
    • Illustrative example of attribute-only-once
    • Differences of net impact results and company disclosures
    • Indicative guidelines for classifying investments in line with SFDR
      • Example description of DNSH in pre-contractual disclosures
      • Example description of net impact metrics based indicators in pre-contractual disclosures
      • Old Indicative guidelines for SFDR classification using classic scores
    • Upright data notice
    • NFRD status metadata
    • Communicating Upright's data – Corporates
    • Communicating Upright's data – Investors
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On this page
  • Upright's approach to monetization
  • Appendix 1: Monetization approach by impact category
  • Appendix 2: Total monetary value by impact category

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  1. Methodology
  2. Net impact

Weighting of impacts

This page introduces Upright's approach to weighting impacts.

PreviousEstimation of company product mixesNextIOOI analysis -based monetization

Last updated 1 year ago

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This page describes how Upright weights impacts. The rationale and principles of net impact are discussed here.

To compare diverse impacts — like the harm caused by an emitted CO2e ton compared to the value of a disability-adjusted life year — they need to be weighted relative to each other.

Many different weighting methods have been proposed in , with the most popular ones being monetary weighting, equal weighting, panel-based weighting, and distance-to-target weighting.

Upright uses monetary weighting, similar to the and the . In monetary weighting, measured impacts are converted to monetary terms before they are compared.

Upright's approach to monetization

Upright’s impact monetization follows the general principles of monetary valuation and impact aggregation defined in (LCA standard), LCA literature, and (monetary valuation of environmental impacts). In addition, the IOOI (Input, Output, Outcome, Impact) framework is used as part of the monetary valuation process.

As the Upright net impact graph includes both positive and negative impacts, as well as impacts across several different themes, Upright uses three different monetization methods to translate impacts into dollar values:

Interpretation guidance: no nullification of negative impacts

The purpose of monetization is to facilitate understanding the relative size of impacts across different impact categories.

This should not be interpreted as positive impacts nullifying negative impacts. Users of Upright data should remember that positive impacts never make negative impacts disappear: Upright is simply making the trade-off that is being made visible.

No assumption of fixed values

Upright does not assume a fixed set of values. The Upright platform allows users to express their own optimization criteria, instead of assuming one fixed set of values.

Furthermore, Upright always presents net impact such that benefits (positive impacts) are always shown in relation to costs (negative impacts), allowing users to apply their own value judgment.

Appendix 1: Monetization approach by impact category

Negative valence
Impact category
Positive valence

N/A

Jobs

IOOI + literature

N/A

Taxes

IOOI + literature

N/A

Societal infrastructure

Market price

IOOI + literature

Societal stability

IOOI + literature

IOOI + literature

Equality & human rights

IOOI + literature

N/A

Knowledge infrastructure

Market price

N/A

Creating knowledge

Market price

IOOI + literature

Distributing knowledge

Market price

Opportunity cost

Scarce human capital

N/A

IOOI + literature

Physical diseases

IOOI + literature

IOOI + literature

Mental diseases

IOOI + literature

N/A

Nutrition

Market price

IOOI + literature

Relationships

Market price

IOOI + literature

Meaning & joy

Market price

IOOI + literature

GHG

IOOI + literature

IOOI + literature

Non-GHG

IOOI + literature

Opportunity cost

Scarce natural resources

IOOI + literature

IOOI + literature

Biodiversity

IOOI + literature

IOOI + literature

Waste

IOOI + literature

Appendix 2: Total monetary value by impact category

Per impact category, the monetary valuation methods discussed in this page result in the totals listed in the table below. Numbers are shown as trillion USD per year.

Negative valence
Impact category
Positive valence

N/A

Jobs

10.01

N/A

Taxes

13.40

N/A

Societal infrastructure

14.26

1.75

Societal stability

0.67

0.39

Equality & human rights

0.23

N/A

Knowledge infrastructure

1.01

N/A

Creating knowledge

1.82

0.02

Distributing knowledge

2.43

8.32

Scarce human capital

N/A

7.35

Physical diseases

2.97

1.51

Mental diseases

0.38

N/A

Nutrition

3.64

0.34

Relationships

1.73

0.90

Meaning & joy

3.21

19.22

GHG

1.53

5.98

Non-GHG

0.69

1.84

Scarce natural resources

0.03

6.73

Biodiversity

0.06

4.20

Waste

0.49

🧮
literature
Harvard Impact-Weighted Accounts Framework
Value Balancing Alliance
ISO 14044:2006
ISO 14008:2019
IOOI (Input, Output, Outcome, Impact) analysis -based monetization
Market-price-based monetization (observed preference)
Opportunity-cost based monetization