LogoLogo
Upright PlatformAbout Upright
  • Welcome
  • 💡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
Powered by GitBook
On this page

Was this helpful?

  1. Methodology
  2. Net impact
  3. Weighting of impacts

Opportunity-cost-based monetization

PreviousMarket-price-based monetizationNextIllustrative example in a simplified economy

Last updated 2 years ago

Was this helpful?

The includes two categories that represent opportunity costs:

  • Scarce Human Capital represents scarce resources provided by people

  • Scarce Natural Resources represent scarce resources provided by the planet

Given that the use of scarce resources by the private sector does not lead to direct harm or benefit to its surroundings, the appropriate economic cost of these resources depends on available opportunities to create positive and negative impacts.

Such opportunity costs are quantified on the basis of the average net impact of products and services that use these resources.

Upright derives the total opportunity cost (to be distributed for all companies using these resources) for the two categories as follows:

  1. The net sum of monetized outputs and impacts, excluding opportunity costs is $10.10 trillion (see for details)

  2. The total opportunity cost is attributed between human capital and natural resources is attributed on the basis of the : the global per capita wealth in natural capital and human capital are estimated to be $30,830 and $139,140 respectively.

  3. Attributing the total opportunity cost to people and the planet in proportion yields:

    • Scarce Natural Resources: $1.83 trillion (18.14% of total human and natural capital)

    • Scarce Human Capital: $8.27 trillion (81.86% of total human and natural capital)

Not all resources consumed by the private sector are scarce and therefore do not have a meaningful opportunity cost. Such abundant resources include e.g., information.

🧮
Upright net impact framework
UNEP Inclusive Wealth Report
here