APEC 3611w: Environmental and Natural Resource Economics
  • Course Site
  • Canvas
  1. 10. Earth Economy Modeling
  2. 40. EE in Practice
  • Home
  • Syllabus
  • Assignments
    • Assigment 01
    • Assigment 02
    • Weekly Questions 01
    • Weekly Questions 02
    • Weekly Questions 03
    • Weekly Questions 04
    • Weekly Questions 05
  • Midterm Exam
  • Final Exam
  • 1. Global Context
    • 1. Introduction
    • 2. The Doughnut
  • 2. Micro Foundations
    • 3. The Microfilling
    • 4. Supply and Demand
    • 5. Surplus and Welfare in Equilibrium
    • 6. Optimal Pollution
  • 3. Market Failure
    • 7. Market Failure
    • 8. Externalities
    • 9. Commons
  • 4. Macro Goals
    • 10. The Whole Economy
    • 11. Sustainable Development
    • 12. GDP and Discounting
    • 13. Inclusive Wealth
    • 14. Fisheries
  • 5. Climate Change
    • 15. Climate Change
    • 16. Social Cost of Carbon
    • 17. Climate IAMs
    • 18. Air Pollution
    • 19. Water Pollution
  • 6. Natural Resources
    • 20. Non-renewables
    • 21. Will we run out?
    • 22. Fisheries
    • 23. Forestry
    • 24. Land as a resource
    • 25. Land-use change
  • 7. Natural Capital
    • 26. Ecosystem Services
    • 27. Valuing Nature
    • 28. Biodiversity
    • 29. GIS and Carbon
    • 30. Sediment Retention
    • 31. Ecosystem Tradeoffs
  • 8. Future Scenarios
    • 32. Uncertainty
    • 33. Possible Futures
    • 34. Positive Visions
  • 9. Policy Options
    • 35. Policy Analysis
    • 36. Market Policies
    • 37. Real World Policies
  • 10. Earth Economy Modeling
    • 38. Earth Economy Models
    • 39. Gridded Models
    • 40. EE in Practice
  • 11. Conclusion
    • 41. What Next?
  • Games and Apps
  • Appendices
    • Appendix 01
    • Appendix 02
    • Appendix 03
    • Appendix 04
    • Appendix 05
    • Appendix 06
    • Appendix 07
    • Appendix 08
    • Appendix 09
    • Appendix 10
    • Appendix 11
    • Appendix 12

On this page

  • Content
  • Transcript
  • Appendix
    • Learning objectives
    • From classroom to cabinet room
    • Three institutional arenas
      • 1) National governments
      • 2) Finance and central banking
      • 3) International coordination
    • What models do—and do not—do
    • Why transparency matters
    • The analyst’s role
    • The Doughnut in institutions
    • Open resources you can remix for this chapter
    • Exercises
  1. 10. Earth Economy Modeling
  2. 40. EE in Practice

Earth-economy modeling in practice

GTAP-InVEST

Content

TBD.

Transcript

Appendix

Learning objectives

After this chapter, you should be able to:

  • Describe where Earth–economy models are actually used in the real world.
  • Explain the difference between academic models and policy-facing tools.
  • Identify the roles of governments, banks, and international organizations.
  • Understand how models shape—not replace—human judgment.
  • Recognize why transparency and trust matter as much as technical accuracy.
  • See Earth–economy modeling as a form of public infrastructure.

From classroom to cabinet room

Integrated Earth–economy models are no longer academic curiosities.

They are used by:

  • national governments planning climate and land policy,
  • central banks assessing climate risk,
  • development banks evaluating investments,
  • international organizations setting global targets,
  • and NGOs designing conservation strategies.

These models inform:

  • climate pledges,
  • energy transition pathways,
  • land-use strategies,
  • biodiversity frameworks,
  • and development plans.

They do not “decide policy.”
They shape the space of what is seen as possible.


Three institutional arenas

1) National governments

Governments use integrated models to:

  • project emissions under different policies,
  • evaluate energy and land pathways,
  • estimate economic impacts,
  • and justify legislation.

A ministry may ask:

  • “What happens to jobs if we phase out coal?”
  • “Can we meet targets without raising food prices?”
  • “What mix of policies gets us to net zero?”

The model becomes a shared reference point across agencies.


2) Finance and central banking

Financial institutions increasingly treat climate and nature as:

  • macroeconomic risks,
  • not niche environmental concerns.

They use Earth–economy-style models to:

  • stress-test portfolios,
  • assess transition risk,
  • evaluate stranded assets,
  • and model climate damages.

The question is no longer:

  • “Is this green?”

It is:

  • “Is this economically viable in a changing Earth system?”

3) International coordination

At the global level, models help answer:

  • “What does a 1.5°C world require?”
  • “Who bears the cost of transition?”
  • “How do land, food, and energy interact?”
  • “What pathways are equitable?”

They underpin:

  • IPCC assessments,
  • biodiversity frameworks,
  • and development strategies.

They create a shared language across countries.


What models do—and do not—do

Earth–economy models:

  • organize complexity,
  • expose tradeoffs,
  • test consistency,
  • and explore futures.

They do not:

  • determine values,
  • decide who should win,
  • or resolve political conflict.

They answer questions of the form:

If we try this, what kind of world follows?

The choice of which world to pursue remains human.


Why transparency matters

Because these models influence:

  • billions of dollars,
  • millions of livelihoods,
  • and planetary systems,

they must be:

  • inspectable,
  • explainable,
  • and contestable.

Black-box modeling erodes trust.

Open models:

  • allow scrutiny,
  • reveal assumptions,
  • and democratize analysis.

Earth–economy modeling is not just a technical practice.
It is a form of governance infrastructure.


The analyst’s role

Working with these models requires:

  • technical skill,
  • ethical awareness,
  • and institutional humility.

An analyst must ask:

  • What assumptions am I embedding?
  • Who is invisible in this structure?
  • Which outcomes are emphasized?
  • What uncertainties matter most?

Modelers are not neutral technicians.

They are:

Architects of how futures are imagined.


The Doughnut in institutions

Institutions increasingly articulate goals in Doughnut-like terms:

  • climate ceilings,
  • biodiversity boundaries,
  • poverty floors,
  • health and equity targets.

Earth–economy models translate those goals into:

  • pathways,
  • investments,
  • and constraints.

They connect:

  • moral vision,
  • to operational strategy.

Open resources you can remix for this chapter

All are compatible with a CC BY-NC-SA Quarto book.

  • Natural Resources Sustainability: An Introductory Synthesis (CC BY-NC-SA)
    Use for: sustainability governance framing.
    https://uen.pressbooks.pub/naturalresourcessustainability/

  • InTeGrate teaching materials (many CC BY-NC-SA)
    Use for: policy and decision-making exercises.
    https://serc.carleton.edu/integrate/teaching_materials/index.html

  • Principles of Economics (UMN Libraries Publishing, CC BY-NC-SA)
    Use for: policy analysis and institutional context.
    https://open.umn.edu/opentextbooks/textbooks/principles-of-economics


Exercises

  1. Institutional map.
    Choose one institution (a ministry, a bank, an NGO).
    Describe one decision where an Earth–economy model could be used.

  2. Assumption audit.
    Identify one assumption that might differ between:

    • an environmental NGO, and
    • a finance ministry.
  3. Ethics of modeling.
    In one paragraph, explain why transparency matters more in sustainability modeling than in ordinary forecasting.