Agglomeration economies Flashcards
(34 cards)
Basic theory (economics A level)
Economies of Scale (external)
What is the efficient size of a city a trade off between
Agglomeration economies and Urban crowding.
Centrifugal vs Centripetal forces
Key theoretical question on what causes cities to be more productive
Darwinian selection vs agglomeration benefits
- more workers leads to better workers or SML
- more firms (survival of the fittest) or actual location benefit
SML
Marshalling Externalities - benefits within a single industry of agglomeration
- Sharing
- Matching
- Learning
Duranton and Puga (2004)
Jacobian Externalities
Positive impacts on innovation and economic growth that arises from the diversity of industries and knowledge within a region or city
Sharing
The gains from specialisation (Adam Smith,1776) - greater scale allows firms to specialise more
… The labour pool - A local industry offers a constant market for skill (marshall, 1890) thus attracting a greater constant labour pool
… Risks - positive and negative shocks in the local labour market or economy
Learning
schooling , training and research
Interactions with others due to proximity
Favour the diffusion of innovations and ideas (Marshall, 1890)
Everyday interactions that lead to knowledge creation, diffusion and accumulation (Lucas, 1988)
Endogenous growth theory (Romer, 1986) : accumulation of human capital, leads to tech progress, tech progress and workers do not move as predicted by neoclassical economists - LOCAL not NATIONAL spillovers
Matching
Increase in the number of agents trying to match improves the quality of match (Helsley and Strange, 1990)
The crowding costs associated with cities act as a signalling device (Spence, 1973) - thus only workers whose value is high enough to the city will move in because they can afford to pay rent/cost of living
Empirical evidence of SML
Rosenthal and Strange, 2004
- input sharing
- Labour market pooling
- Knowledge spillovers (Patents)
Diverse vs specialised cities
(Duranton and Puga, 2001)
Diversified and specialised cities coexist, because each firm finds it in its best interest to locate in a diversified city while searching for its ideal process, and later to relocate to a specialised city where all firms are using the same type of process.
Empirical evidence of greater productivity (USA *2)
Founding Paper - USA
Sveikauskas (1975), as it was the first influential modern study to use data on outputs and inputs to estimate how productivity varies across space, and found that a doubling of population leads to an increase of output of around 6%.
Built upon - USA
This data was built upon by Rosenthal and Strange (2004), who concluded that doubling city size leads to between a 3-8% increase in productivity. Data focused on America.
Empirical evidence of greater productivity (EU)
Modern Support in Europe
Combes et al., (2009) is another example of a study that used empirical evidence, looking at France, and found that the log productivity in large French cities is well described by taking the productivity distribution in small cities and shifting it to the right, as well as dilating it. This led to the conclusion that firms in large cities are around 9% more productive than those in smaller cities.
Urban Wage premium (evidence of greater productivity)
Wages and rents are two other commonly used variables, with Puga stating that several studies use wages as evidence of agglomeration economies, as in competitive markets, labour is paid at the value of its marginal product, and thus higher wages mean that there is higher productivity. There are some issues with this, as more able workers may go to cities, and thus higher wages are due to higher skills rather than the urban area. However, Glaeser and Maré (2001) control for this and still find a wage premium, albeit slightly smaller.
Rents are also used, as if firms are willing to pay higher rents in big cities, it must be due to some comparative advantage. However, it can sometimes be hard to find data on commercial rents, so residential rents are often used. Studies by Rosen (1979) and Roback (1982) combine wages and rents to show workers being more productive, with greater consumption amenities compensating higher rents for workers and higher wages for firms, and thus higher rents and wages mean more agglomeration.
Survival of the fittest
Productive advantage of cities is due to it forcing only the most productive firms to survive
Melitz and Ottaviano (2008) : More firms = more competition = more exits for less productive firms
Empirical support for Agglomeration benefits when controlling for survival of the fittest
Combes et al., 2009 - studies rightward shift of firm productivity vs left-sided truncation
No evidence for left truncation - yet firms in large cities are on average 9% more productive
Large indivisibilities is part justification which is down to economies of scale and sharing - cannot afford in smaller region (Airport, advanced medtech, Luxury brands)
Urban Wage premium evidence of greater productivity
in comp markets, labour is paid the value of its MP
Even if not exactly true, higher wages in dense urban areas can be seen as evidence of higher productivity.
Firms would relocate to a cheaper location unless there were some significant productive advantages
Worker sorting? Does UWP still stand when controlling for worker fixed-effects
Workers sort themselves into larger cities. Thus, the workers in denser areas are more competitive and more productive.
Glaeser and Mare (2001) control this variable through observable skills, parental background and individual worker fixed-effects and find that even with these corrections there is a significant wage premium associated with dense cities: although smaller than before. Combes et al. (2010) find that the elasticity of the wage premium associated with each city with respect to urban density is cut by about 50% when these effects are introduced.
Another concern when interpreting the urban wage premium seen in empirical studies is that workers may sort themselves into larger cities rather than any intrinsic advantage to urban location.
Rents in denser areas? what do they point to..
Firms pay more in big cities there must be some productive advantage.
Commercial rents are harder to find but residential rents provide a close proxy for study (Dekle and Eaton, 1999)
Spatial Impossibility Theorem
“In an economy with a finite number of locations, with locally nonsatiated preferences, and a finite number of consumers and firms, in which space is homogenous and transport is costly, no competitive equilibrium exists in which actual transport takes place.” - Starrett 1978
- Whenever economic activities are perfectly divisible, factor mobility is a substitute for trade
USE SIT And disprove assumptions
Implication - to understand the spatial concentrations we observe, need to account for
- Heterogenous space
- Existence of externalities
- Marshalian - sharing, matching, learning
- Jacobian - benefits from diversity
- Imperfectly competitive markets
Tradeoffs between transport costs and locally increasing returns are key, and we need to be able to explain sharply decreasing transport costs
Agglomeration economies are
the economic benefits that result from the concentration of businesses and activities in a specific geographic area (Glaeser, 2010)
Is urban industrial diversity good
Glaeser et al (1992) use a Herfindahl–Hirschman index (HHI) of employment diversity at the MSA (metropolitan statistical area) level to find that diversity encourages growth
At what distance do agglomeration economies attenuate
Principle - agglomeration economies may attenuate rapidly across geographic space.
Indirect evidence from
Henderson (2003) - employment activity in a plant’s own county affects plant productivity, but employment activity in neighbouring counties is not found to affect the plant’s productivity
Different agglomerative forces operate at different spatial scales
Rosenthal and Strange (2001) – further empirical evidence that agglomeration economies attenuate across geographic space
Some factors drive agglomeration at the state level
- inputs to production sensitive to quick transport (Airport links etc)
- Manufacturing will locate not necessarily next to other firms but near an airport
Some factors drive agglomeration at the local level
- Knowledge spillovers
- Finance in close proximity
Some at all levels - Labour - can take a job within a wider than local commute