Optimal City Size and location theories Flashcards

(17 cards)

1
Q

The key forces pushing and pulling

A

productivity, wages, economic potential vs congestion, pollution, higher rents, green space (belt)

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2
Q

Neoclassical idea

A

Agglomeration effects dominate diseconomies of scale.

Diagram of utility per worker and workers per city. upward slope to peak then downward slope

  • cities not stable on positive
  • stable on negative
  • usually city is too big without intervention
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3
Q

Cities are different from one another

A

Characterised by different functions and perform different specialisations (Henderson, 1985)

  • no uniform optimal city size
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4
Q

Different types of city

A

Specialised - one dominant industry
Diverse - A mix that encourage innovation

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4
Q

Specialised vs Diverse cities (firm choice)

A

Theory. 1 = Duranton and Puga, 2001 - firm searching for appropriate production process for new product will experiment In diverse city and then move to specialised

Theory. 2 = firms move from one specialised to another - lower costs in specialised city but have to relocate as it changes

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5
Q

Empirical evidence on firm location

A

Duranton and Puga, 2001
- French firms - 72% that change location move from a diverse to a specialised city

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6
Q

Primate City

A

Jefferson, 1989
- LEDC the largest city weighs a much more prominent role relative to 2nd and third
- lack of medium city sizes and domination of one or two cities

BUT not limited to developing nations….
London = 13% of the UK population

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7
Q

Controlling urban growth

A

UGB, green belt, restrict roads, water, sewers to certain areas

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8
Q

Good and bad of UGB

A

Existing homeowners within the boundary benefit from the higher land prices.
Newcomers must pay higher rents, so they are harmed (e.g., young people, migrants).
A growth boundary provides public space at the expense of private space.
Tenants are harmed (but landlords benefit) from higher rents

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9
Q

Urban hierarchy

A

ranking of places based on their size and functions they perform, as dictated by the central place theorem

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10
Q

Central Place Theorem

A

Christaller, 1933 - explains why urban hierarchy exists
- producers cluster to supply largest market
- high order goods have larger range
- low order goods less specialised and purchased everywhere

assumptions: very restrictive - transport cost proportionate to distance and density is same everywhere

END up with a hierarchy (most central places provide all goods and services (mulligan et al., 2011)

high order goods only in CP

very simplistic and assumptions restrictive but does show some truth

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11
Q

Built on CPT

A

Reilly 1931 and Huff 1966 - trade is attracted by the size of the town, deterred by distance to it

Larger the town, more likely people travel there

Market boundary A.B = Distance A,B / measure of population difference

larger city the further away the market boundary will be.

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12
Q

different sectors - distance decay

A

Klaesson and Oner, 2014

  • food highest distance decay
  • Household good are larger
  • Fits CPT theory HOG vs LOG
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13
Q

CPT and Marshallian Ext. (1980)

A

firms cluster together in largest place. may outweigh concept of threshold and range by lowering costs from agglomeration/econs of scale

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14
Q

Threshold and Range

A

Threshold - min demand for survival
Range - max distance that business can sell good

threshold in range for functional business

CPT assumptions

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15
Q

key idea of largest encompassing all

A

Mulligan et al., 2011 - ‘Central place of given rank provides goods and services appropriate to its level and all below.

smallest villages - groceries
Towns - Schools, hospitals
Cities - legal services, airports
Largest cities - luxury goods