Optimal City Size and location theories Flashcards
(17 cards)
The key forces pushing and pulling
productivity, wages, economic potential vs congestion, pollution, higher rents, green space (belt)
Neoclassical idea
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
Cities are different from one another
Characterised by different functions and perform different specialisations (Henderson, 1985)
- no uniform optimal city size
Different types of city
Specialised - one dominant industry
Diverse - A mix that encourage innovation
Specialised vs Diverse cities (firm choice)
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
Empirical evidence on firm location
Duranton and Puga, 2001
- French firms - 72% that change location move from a diverse to a specialised city
Primate City
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
Controlling urban growth
UGB, green belt, restrict roads, water, sewers to certain areas
Good and bad of UGB
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
Urban hierarchy
ranking of places based on their size and functions they perform, as dictated by the central place theorem
Central Place Theorem
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
Built on CPT
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.
different sectors - distance decay
Klaesson and Oner, 2014
- food highest distance decay
- Household good are larger
- Fits CPT theory HOG vs LOG
CPT and Marshallian Ext. (1980)
firms cluster together in largest place. may outweigh concept of threshold and range by lowering costs from agglomeration/econs of scale
Threshold and Range
Threshold - min demand for survival
Range - max distance that business can sell good
threshold in range for functional business
CPT assumptions
key idea of largest encompassing all
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