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The New Economic Geography: an overview COST Action IS1104 Urbino 18-19 Settembre 2012
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The New Economic Geography : an overview

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The New Economic Geography : an overview. COST Action IS1104 Urbino 18-19 Settembre 2012. Outline. Introduction Krugman’s cookbook : main ingredients of NEG models Krugman’s story: self- reinforcing agglomeration NEG Families, modifications and extensions Research questions. - PowerPoint PPT Presentation
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Page 1: The New  Economic Geography : an  overview

The New Economic Geography:an overview

COST Action IS1104Urbino 18-19 Settembre 2012

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Outline

• Introduction• Krugman’s cookbook: main ingredients of NEG

models• Krugman’s story: self-reinforcing

agglomeration• NEG Families, modifications and extensions• Research questions

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INTRODUCTIONSection I

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Fujita and Krugman:• “The defining issue of the new economic

geography is how to explain the formation of a large variety of economic agglomeration (or concentration) in geographical space. Agglomeration or the clustering of economic activity occurs at many geographical levels, having a variety of compositions.

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• For example, one type of agglomeration arises when small shops and restaurants are clustered in a neighborhood.

• Other types of agglomeration can be found in the formation of cities, all having different sizes, ranging from New York to Little Rock; in the emergence of a variety of industrial districts; or in the existence of strong regional disparities within the same country.

• At the other extreme of the spectrum lies the core-periphery structure of the global economy corresponding to the North-South dualism.

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• It is also important to notice that all this types of agglomeration at different levels are embedded in a larger economy, altogether forming a complex system.” (Fujita and Krugman, 2004, Papers in Regional Science)

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• The aim of the Action is to provide a better understanding of the EU as a complex, multi-level, evolving geographical system, taking duly into account the dynamic processes occuring within such a system and to develop improved strategies for EU regional policies

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NEG Central question

• How does the spatial distribution of industrial activity look like in the long-run?

1. Equally distributed among regions2. Agglomerated in one region3. Unevenly distributed over the regions

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KRUGMAN’S COOOKBOOK: MAIN INGREDIENTS OF NEG MODELS

Section II

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1. General Equilibrium Model (2 x 2 x 2)• 2 symmetric and spatially homogeneous regions• 2 sectors (M)anufacturing and (A)gricultureA perfect competion ; M imperfect competition • Two factors of production (mobile and

immobile)• Full interdependence across (goods and labour)

markets

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2. Increasing returns and imperfect competition• Dixit-Stiglitz monopolistic competition• No interaction / identical firms• Product differentiation/market segmentation• Production technology: a fixed component

determines decreasing average cost• Price: constant mark-up over marginal costs • Larger production implies higher profit

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3. Consumer’s preferences• Cobb-Douglas preferences across M and A

goods (fixed shares of income allocated to each sector)

• CES preferences across M varieties (love for variety)

• Cheaper and/or more numerous goods increase welfare

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4. Distance and trade• Iceberg transport costs (Samuelson, 1952, Economic Journal)• Transport cost: exogenous parameter that increases price at

destination• For notational convenience «trade freeness parameter

(between 0 and 1)» • Trade is beneficial because it allows access to other regional

markets• However, location is also important since profits are higher

where the local market is bigger (lower transport costs)

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5. Factor mobility• Induced by differentials in factor rewards (wages,

profits)• The dynamic process of migration/relocation is gradual

over time and adaptive • Typically in continuous time• Link between short and long-run analysis• Migration determines the long term spatial allocation of

economic activities (the regional shares; whereas the overall amount of productive factors is given)

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KRUGMAN’S STORY: SELF REINFORCING AGGLOMERATION

Section III

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Pivotal: Size of local market for a single firm depends:

• Overall market size in the region (increases it)• Number of firms in the region (reduces it)

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Thought experiment one factor unit (i.e. manufacturing workers) and the

corresponding firm move from region 1 to region 21. Overall size of the market in 1 increases - • Market-access or market-size effect (agglomeration force):

monopolistic firms locate in the largest market where average production cost is lower and factor rewards are higher

2. Number of firms increases in 1 as well -• Cost of living effect (agglomeration force): the local

production increases and goods are cheaper• Market crowding or market competition effect (spreading

force): firms locate in regions with less competitors

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Self-reinforcing process 1

• Demand linked circular causality

Production shifting

Expenditure shifting

Production shifting

Expenditure shifting

The productive factor and its owner move together:

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Self-reinforcing process 2

• Cost-linked circular causality

Cost of living

shifting

Production shifting

Cost of living

shifting

Production shifting

The productive factor and its owner move together

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Stabilizing force

productive factor

migrates to region 1

Increase in the

number of firms

lower factor

rewards

The productive factor shifts

back in Region 2

• Competion between firms

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If agglomeration forces exceed dispersion forces. This leads to full agglomeration

If dispersion forces exceed agglomeration forces this leads to symmetric distribution

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Competition effect dominates Market size effect dominates

1

Share of capital in region 1

0

0 Trade Freeness 1

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Competition effect dominates Market size effect dominates

1

Share of capital in region 1

0

Multiple equilibria

0 Trade Freeness 1

z

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Competition effect dominates Market size effect dominates

1

Share of capital in region 1

0

Mutiple equilibria

Catastrophic Agglom

0 Trade Freeness 1

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Competition effect dominates Market size effect dominates

1

Share of capital in region 1

0

Multiple equilibria

Catastrophic Agglom.

Endogen.

Asymmetr.

0 Trade Freeness 1

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Competition effect dominates Market size effect dominates

1

Share of capital in region 1

0

Multiple equilibria

Catastrophic Agglom.

Endogen.

Asymmetr.

History matters

0 Trade Freeness 1

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Competition effect dominates Market size effect dominates

1

Share of capital in region 1

0

Multiple equilibria

Catastrophic Agglom.

Endogen.

Asymmetr.

History matters

Irreversibil.

Hysteresis

0 Trade Freeness 1

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NEG FAMILIES, MODIFICATIONS AND EXTENSIONS

Section IV

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• NEG families: differentiated according to which factor is interregionally mobile

• Main NEG Variants: most used in the literature• Non exhaustive taxonomy of existing

modifications and extensions

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NEG Families• Core-Periphery (CP) model (Krugman, 1991, JPE) mobile factor: manufacturing workers immobile factor: agricultural workerstechnology: M workers both variable and fixed component• Footloose entrepreneur (FE) model (Forslid & Ottaviano, 2003, JEG)mobile factor: entrepreneurs/human capitalimmobile factor: unskilled workersproduction technology: entrepreneur only fixed component (simpler)• Footloose capital (FC) model (Martin & Rogers, 1995, JIE)mobile factor: physical capital immobile factor: workerstechnology : physical capital enters only fixed component (simpler)no circular causality (much simpler)

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NEG main variants• Constructed capital (CC) model (Baldwin, 1999, EER) - mobile or immobile endogenous physical capital - circular causality via capital construction and destructionmay lead to growth (growth poles / growth sinks)• Vertical linkages (VL) model (Venables, 1996, IER)- intermediate manufacturing goods enter in production- circular causality via demand and supply linkages (supplier of intermediate inputs locate in larger output markets / firms locate where the number of supplier of intermediate inputs is larger and production costs lower) • Global and local spillovers (GS and LS) models (Martin & Ottaviano, 1999,

EER; Baldwin, Martin and Ottaviano, 2001, JE Growth)- variants of the CC model that allow for endogeous growth- local spillovers are a dispersion force

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Taxonomy of extensions 1

Regions

asymmetric

dis-homogeneous (first nature

features)

n > 2 Regions

Spatial structure

Unidimensional (equidistant,

racetrack)

continuous space

Differentiated trade costs

Network structure

Manufacture

Cournot Competition

Heterogeneous firms

Structure of the

EconomySophisticated modelling of labour market

Transport sector

R&D activities

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Taxonomy of extensions 1

Regions

asymmetric

dis-homogeneous (first nature

features)

n > 2 Regions

Spatial structure

Unidimensional (equidistant,

racetrack)

continuous space

Differentiated trade costs

Network structure

Manufacture

Cournot Competition

Heterogeneous firms

Structure of the

EconomySophisticated modelling of labour market

Transport sector

R&D activities

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Taxonomy of extensions 2

Public policy

government expenditures, taxation and

subsidies

Local goverments competition

welfare analysis

Dynamics

Factors relocation, growth,

demographic changes

Analytical core: processes

modelled in continuous time

Discrete time: nonlinear maps

generating complex behaviour

Expectations

myopic

adaptive behavioural rule

Forward looking

Preferences

Upper-tier: quasi-linear

Lower-tier: CES

Upper-tier: CESLower-tier CES

Intertemporal choice

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Taxonomy of extensions 2

Public policy

government expenditures, taxation and

subsidies

Local goverments competition

welfare analysis

Dynamics

Factors relocation, growth,

demographic change

Analytical core: processes

modelled in continuous time

Discrete time: nonlinear maps

generating complex behaviour

Expectations

myopic

Adaptive behavioural rule

Forward looking

Preferences

Upper-tier: quasi-linear

Lower-tier: CES

Upper-tier: CESLower-tier CES

Intertemporal choice

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RESEARCH QUESTIONSSection V

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Research topic 1 To represent the economy as a multi-regional Network with more

‘realistic’ features.

Suggested preliminary steps:1. Search for the most suitable analytical framework2. Identification of EU regional specificities (also through data

collection, screening and analysis)3. Identification of the network structure (type of links, strength and

number of connections)4. Implementation of a specific software for the discovery of the

network nature and statistical properties5. Simulation exercises and comparison with real data

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Research topic 2 To model more elaborated firm relocation decisions (in NEG models very

simplistic).

Improvements (drawing also from contributions by Dawid; Zou):1. Can we learn something from the behavioural literature on

strategic swithching in (financial) markets (chartist vs fundamentalists, discrete choice models, replicator dynamics, experiment on learning, new experiments on spatial decisions)?

2. Can we learn something from the much more elaborate modelling of IO (strategic interaction, heterogeneous firm, continuous space)?

3. Can we incorporate financial markets and its role in the firm (re-)location decision?

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Research topic 3

To identify determinants of regional attractiveness not included in NEG models.

• for a firm several factors (such as local government quality, crime rates, access to credit, legislation, degree of scholarization of the workforce and so on) may affect relocation.

• Similarly, factors different from wages or remunerations that may affect workers and human capital migration are various (provision of public servicies, housing prices, amenities, work environment, and so on)

• These indicators can be very useful for a better understanding of the distribution of economic activities.

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Research topic 4

Literature reviews: • To provide an exhaustive taxonomy of the NEG

literature.• To compare old and new approaches to

geographical economics

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Thank you for your attention!