China - population divide Flashcards

1
Q

core-periphery model

A
  • large cities develop and people move there for the benefits
  • creates smaller population in periphery
  • creates wealth gap
  • as development continues, corer is too expensive and people move back to periphery so reduces gap
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1
Q

Corre-periphery model

A
  • everyone moves to core as it develops
  • creates gap between core and periphery
  • people move back when core gets too expensive
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2
Q

China’s population distribution

A
  • most people in cities like Beijing and Shanghai on the east coast and south
  • 94% population vs 6% in periphery (Inner Mongolia, tibet etc) - divided by Hu line
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2
Q

china’s population distribution

A
  • core is south east on coast with megacities like Shanghai and Beijing
  • divided by Hu line - Heihe in the northeast to Tengchong in the south, diagonally across China
  • 94% of China’s population live east of the line, in an area that is 43% of China’s total, whereas 57% of the Chinese territory is west of the line has but only 6% of the country’s population
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3
Q

why did the core develop?

A
  • fishing villages
  • fertile soil for rice so civilisation are
  • access to sea for trade
  • north too cold
  • very mountainous or deserts to west
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3
Q

development of the core

A
  • lots of rain and tropical temperatures = fertile soil for farming
  • access to seas = ports, trade and fishing
  • increases income and develops civilisations
  • desert and mountains in periphery
  • from 70s built more ties with outside so grew rapidly
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4
Q

stats to show difference

A
  • average salary Shanghai = €26 521.77 vs €8620.52 in tibet
  • population Shanghai 24.87 mil = vs 3,6 mil tibet
  • area Shanghai 6,340 km2 vs 1.2 mil km2
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4
Q
A
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4
Q

stats to show Difference between Shanghai and Tibet

A
  • 6,340 km2 vs 1.2 mil km2
  • 25 mil vs 3.5 mil people
  • average salary €26 000 vs €8600
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5
Q

benefits

A
  • improved access to education, health care, electricity and running water
  • 700 mil people moved out of poverty in last 30 years
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