Illustrative metaphor: “Don’t marry your baby-sitter”—paying a sitter boosts GDP; marrying them makes the same care unpaid and GDP falls.
Distributional blindness:
GDP rise can coincide with widening inequality; aggregate growth says nothing about who benefits.
Key critics & sources:
Joseph Stiglitz, Amartya Sen & Jean-Paul Fitoussi, Mismeasuring Our Lives: Why GDP Doesn’t Add Up—argue GDP ignores inequality and well-being.
World Economic Forum video (cited in class) summarises shortcomings.
Growth vs. Development & Planetary Limits
Growth (continuous rise in GDP) is routinely conflated with human development, but:
Quality-of-life indicators (health, education, equality, ecological integrity) may stagnate or worsen despite GDP rises.
UNCTAD paper (David Woodward, 2015) “Incrementum ad absurdum”:
To eradicate poverty via "trickle-down" growth alone would require ecologically impossible GDP expansion.
Unlimited growth clashes with finite planetary resources; would trigger catastrophic climate outcomes.
Bottom line: We cannot “grow forever”; need alternative metrics and models (to be addressed later in course).
Unit-1 Synthesis (Lecture Review)
Single, internal (“country-specific”) explanations of under-development are inadequate.
Development problems are historically relational:
Poverty, hunger, GDP levels are products of past and present relationships between places, not isolated national traits.
Technical fixes alone do not solve fundamentally political problems.
Always read statistics (poverty lines, hunger counts, GDP) critically—each number has a history and set of assumptions.
Transition to Unit-2: Historical Roots of Poverty & Wage Labour
New guiding questions:
How did poverty originate historically?
How did wage labour become normal?
Temporal scope: c. 1500-1900 (Age of European expansion, colonialism & industrialisation).
Key concepts previewed: accumulation by dispossession, original accumulation, enclosure, wage labour.
Analytical Frameworks: Internal vs. Relational Explanations
Common narrative: Industrial Revolution = purely European ingenuity → “Great Divergence”.
Alternative (relational) approach: Europe’s rise is inseparable from colonial land theft, resource extraction, forced labour and global trade networks.
Modern political rhetoric still defaults to internal-traits explanations (e.g., Donald Trump praising Norway’s “well-run” internal factors), overlooking relational histories.
Colonial Encounters & Precious-Metal Drain
1492: Columbus reaches the Caribbean; diary proposes subjugation of Indigenous peoples (“with 50 men they can all be subdued”).
1508 (Bartolomé de las Casas): Reports ~3,000,000 Indigenous deaths on Hispaniola in just 14 years via war, slavery, mines.
By early 1800s: 100,000,000\text{ kg} of gold & silver extracted from Latin America → shipped to Europe → traded with China & India for manufactured goods.
The Transatlantic Slave Trade & Triangle Trade
Trigger: Dwindling Indigenous labour + finite gold supply → demand for new labour source.
Route (Triangle):
European manufactured goods (textiles, guns, metal ware) to West African coast.
Enslaved Africans (≈ 12{-}15 million transported; ≈2 million die en route) shipped to Caribbean & the Americas.
Free land (Americas), free/under-paid labour (Africa & enslaved diaspora), raw materials for factories (cotton, sugar), colonial markets for finished goods.
Internal (British) transformation
Technological innovations (steam engine, spinning jenny, power loom).
Domestic social restructuring through the Enclosure Movement.
Enclosure Movement & Birth of Wage Labour in Britain
Pre-enclosure commons: Villagers accessed shared land for subsistence farming & grazing.
Late feudal transition: Landlords (backed by state) fence (“enclose”) commons → convert to private property with legal title.
Consequences:
Peasants lose direct means of subsistence; forced off land (“original accumulation”).
Survival now requires \text{money} ⇒ need wages ⇒ move to towns/factories.
Factory owners gain ready labour supply; peasants become first mass consumer-workers (buying food, shelter, clothing they once self-produced).
Parallel timelines: Forced wage labour at home mirrors forced enslaved labour abroad—both underpin capitalist industrial take-off.
Accumulation by Dispossession & Original Accumulation
Coined by Marx; elaborated by David Harvey/Jason Hickel.
Definition: Initial concentration of wealth through violent seizure of land, resources, and labour, creating capitalist property relations.
Outcomes:
Generational wealth and power for colonisers & domestic elites.
Generational poverty and structural disadvantage for dispossessed populations (Indigenous, African diaspora, rural poor).
Selected Historical Illustrations
Belgian Congo (King Leopold II, late 19th c.)
~10 million Congolese (≈½ population) perish via forced rubber & ivory extraction, famine & disease.
Loot funds grand architecture of Brussels—visible “markers of development.”
Karl Marx (mid-1800s) on global plunder: Gold/silver extraction, East-Indies looting, African slave hunts = “rosy dawn” of capitalist production.
Key Terms & Concepts Recap
GDP / Real GDP / GDP per capita
Net exports (X-M)
Growth vs. development
Externalities & non-market activity (unpaid care, leisure, environment)
Accumulation by dispossession / original accumulation
Enclosure
Wage labour
Triangle trade / Transatlantic slave trade
Relational vs. internal explanations of development
Course Logistics & Upcoming Tasks
Reading for next class:
Eric Williams, Capitalism and Slavery: Preface; pp. 1{-}7 & 51{-}57 (triangle trade analysis).
Sven Beckert, Empire of Cotton: Introduction (global cotton networks).
Reading response schedule:
Current response (relational analysis between two places) due tomorrow night.
Response on Williams & Beckert moved to Saturday (allows in-class discussion first).
Next lecture themes: Sugar & cotton as world-tying commodities; deeper dive into triangle trade stimuli for British economy; continuities into modern supply chains.
Reflective Prompt
How do historical processes of land/labour dispossession continue to shape present-day GDP figures and global inequality?