Summary: Disease Environments, Mortality, and the
Creation of Institutions (Simon Johnson, December 8 2024)
Simon Johnson revisits the roots of colonial-era
institutions across the globe, showing how disease environments shaped
European settlement—and in turn, whether inclusive or extractive
institutions took root. Regions where settlers faced low mortality (e.g.
North America, Australia) tended to develop inclusive governance structures; in
contrast, places with high mortality (e.g. West Africa, parts of India) became
sites of extractive institutions. These early institutional pathways created a
lasting “reversal of fortune”: areas rich before colonization often became
poor, while previously less developed regions eventually prospered due to
inclusive norms. Johnson emphasizes that the interplay between disease,
settlement decisions, institutions, and long-term prosperity remains deeply
relevant today, especially amid AI-driven technological disruption. Studentportal+9NobelPrize.org+9NobelPrize.org+9
π¦ THOUGHT CARD: DISEASE,
COLONIAL SETTLEMENT & INSTITUTIONAL ORIGINS
1. Background Context
Classic economic development theories often point to
geography, culture, or resources as drivers of prosperity. Johnson and his
colleagues introduce a more nuanced explanation: environmental and
institutional feedback loops. Specifically, historical disease environments
shaped European settlement patterns, which then determined whether inclusive or
extractive institutions emerged—creating trajectories that echo across
centuries. This framework builds directly on the institutional development
paradigm advanced by Acemoglu, Robinson, and others. NobelPrize.org+1
2. Core Concept
- Disease
environments directly influenced settler mortality and colonization
strategies.
- Areas
with low settler mortality incentivized European settlement,
leading to institution-building tailored to long-term rule and investment.
- Regions
with high mortality led colonizers to establish extractive
systems—emphasizing resource extraction without inclusive governance.
- These
divergent institutional paths produced a reversal of fortune:
former wealthy regions could lag behind, while once-poor areas with
inclusive systems gained ground. NobelPrize.org+5NobelPrize.org+5NobelPrize.org+5Chalmers University of Technology+3NobelPrize.org+3NobelPrize.org+3
3. Examples / Variations
- North
America, Canada, Australia: Low disease risk → European settlement →
inclusive political and economic institutions.
- West
Africa, Caribbean, parts of India: High disease risk → few settlers →
extractive institutions designed to extract without long-term investment.
- Reversal
of Poverty/Wealth: Places rich in precolonial times (like dense
coastal civilizations) often became poor under extractive regimes;
sparsely settled areas today rank among the wealthiest in GDP per capita. NobelPrize.org
- Modern
Tech Inflection Points: Small institutional differences
today—especially around AI and innovation policy—can amplify across time,
mirroring past trajectories. NobelPrize.orgMIT Economics
4. Latest Relevance
- AI
& Institutional Resilience: Societies with inclusive frameworks
are better positioned to distribute AI’s benefits widely; extractive
systems risk concentrating power. MIT EconomicsIMF
- Policy
Design: Debates about data ownership, tech regulation, and innovation
equity reflect institutional legacies and current decision-making
structures. IMFMIT Economics
- Global
Inequality: Legacy institutions explain why resource-rich regions
remain impoverished—calling for institutional reform, not just investment.
NobelPrize.org+1
5. Visual or Metaphoric Form
- Three-tier
Mortality Spectrum Map: Regions mapped as low/high settler mortality
zones tied to different institutional outcomes.
- Reversal
Graph: A chart showing initial economic rank versus present-day GDP
per capita—illustrating reversal of fortune.
- River
Fork Metaphor: Early institutional forks lead societies down divergent
paths toward inclusion or extraction.
6. Resonance from Great Thinkers / Writings
- Acemoglu
& Robinson: Gifts of institutional divergence shaped by power
dynamics and historical contingencies.
- Elinor
Ostrom: Local rule-making as a counterpoint to extractive systems.
- Douglass
North: Institutions as determinants of transaction costs, incentives,
and long-term pathway dependency.
- Simon
Johnson: Emphasizes responsibility—technology magnifies institutional
differences; inclusive institutions foster resilience. Kungl. Vetenskapsakademien+11NobelPrize.org+11Massachusetts
Institute of Technology+11NobelPrize.orgNobelPrize.org+7IMF+7NobelPrize.org+7
7. Infographic or Timeline Notes
Timeline of Institutional Divergence:
- 1500s–1800s:
European colonial expansion into diverse disease environments.
- 1800s–1900s:
Divergence of inclusive vs. extractive institutional systems.
- 1900s–2000s:
Institutional persistence, reversal of fortune materializes.
- 2020s
onward: Digital/regulatory inflection—AI and tech accelerate inequality
where institutions are extractive.
Conceptual Flow:
kotlin
CopyEdit
Disease Risk → Settlement Strategy → Institutional Design → Long‑Term
Prosperity
8. Other Tangents from this Idea
- Climate
Change: How environmental shocks may parallel past disease shocks,
influencing institutional resilience.
- Tech
Colonialism: How global tech platforms may extend extractive
structures across borders.
- Institutional
Upgrading: Under what conditions can extractive systems be
transformed?
- Narrative
Economics: How colonial institutions shape modern beliefs, trust, and
identity in economies.
Reflective Prompt:
Where in your context do early design choices—whether institutional,
technological, or social—still shape opportunity today? If emerging tech is the
new frontier, how might institutional quality determine who prospers—and who
remains marginalized?