Today - Stephen Kinsellastephenkinsella.net/.../EC4333_2009_Lectures1-10_HANDOUT.pdf · Lecture...
Transcript of Today - Stephen Kinsellastephenkinsella.net/.../EC4333_2009_Lectures1-10_HANDOUT.pdf · Lecture...
Economics of European Integration
EC4333, Lecture 1
Dr Stephen Kinsella
Department of Economics, KBS, University of [email protected], www.stephenkinsella.net
November 17, 2009
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 1 / 18
Today
1 Module Outline, Grading, & expectations
2 Outline of lectures
3 Defining Integration
4 Scope of the module
5 Some Facts about the EU
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 2 / 18
Learning Outcomes
conversant with the historical literature on the development of the EUhaving written several thousand words on the subject;
understand transaction-cost analysis, institutional analysis, optimalcurrency area theory and simple models of capital and labour marketintegration and be able to apply these theories to current practicefollowing the problem sets given in class;
conversant with the Solow model of economic growth, theory andpractice of covergence, and able to assess the empirical reality ofthese claims;
knowledgeable about EU social and environmental policy and theirimpact on the Irish economy.
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 3 / 18
Grading
Final exam, 50%. 2 Sections. 10 short qs, then 3 from 4 longerquestions. Sample exam week 8.
2 Problem Sets, 15% each
1 Essay, 20%
Essay
Briefly discuss the development of the European Union through the treatystructure. Discuss the potential costs and benefits of the Lisbon Treaty’sratification for the Irish economy.
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 4 / 18
Policies/Expectations
Lecture slides/podcasts/handouts up after lecture
Notes given out at end of class
Fast email turnaround, normally less than 1 day. Email to:[email protected].
If no reply, email again. Prob. Spam.
On pain of spiky, scary death, do not send me text messages as
emails. I will cut your ears off, rub the stumps in salt, and play
Moby into them.
Come see me whenever, email for a time. No office hours. Office isKB3-42/
Written feedback on all submitted work
Any questions in class, just ask.
Discussion is preferable to lecturing
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 5 / 18
Outline
1 History, Structure, Institutions
2 OCA/EMU Theory
3 Size & Scale Effects, growth & development
4 Macroeconomics, economic inequality in the EU
5 Location effects, international trade, Ireland and the EU.
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 6 / 18
Defining Integration
Debate runs like this
Trade liberalisation vs economic integration–Goes further–Discriminatory
Trade arrangements can differ”
1 Barriers to trade in goods
2 Barriers to services trade
3 Barriers to trade in productive factors
4 Corporate behaviour
5 Government behaviour
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 7 / 18
EU: Economic solution to a political problemHow can Europe avoid another war?
Country Death Toll Economic Setback to Year’s GDPAustria 525,000 1886Belgium 82,750 1924Denmark 4,250 1936Finland 79,000 1938France 505,750 1891Germany 6,363,000 1908Italy 355,500 1909Netherlands 250000 1912Norway 10,250 1939-45Sweden 0 1939-45UK 325,000 1939-45
Source: Crafts and Toniolo: Economic Growth in Europe since 1945(Cambridge: CUP,1996, p. 4)
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 8 / 18
Causes of the Second World War
Three answers:
Germanycapitalismdestructive nationalism.
3 post-war solutions:
‘neuter’ Germany via Morgenthau Plan, 1944adopt communismpursue European integration.European integration ultimately prevailed, but this was far from clearin the late 1940s.
Depended on causes. Three schools of thought:
The problem/The solutionThe loser (Germany) / De-industrialisationCapitalism / CommunismIntegration. Cold war pushed US, UK, France towards strongGermany and integration
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 9 / 18
Steps taken to EU-handout
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 10 / 18
Big IdeasSee Treaty of Rome, 1957, www.ena.lu/
Free trade in goods
Common Trade policies (Lisbon)
Help ensure undistorted competition1 Prohibit State Aid2 Prosecute Anti Competitive Behaviour3 Reduce distortionary taxes (Irish Corporation Tax)
Allow trading in services
Labour/Capital market integration
Exchange rate coordination
Common social, regional, agricultural, eventually taxation approaches
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 11 / 18
Structures to house these ideasUnderneath the banner of the EU sit:
Competencies vs supranationality
European Commmunity
Common foreign/security policy (Lisbon)
Justice, Home affairs
All underpinned by treaty law.
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 12 / 18
Budget
Figure: Evolution of EU Budget.Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 13 / 18
Population
Figure: PopulationDr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 14 / 18
Net Contribution by member
Figure: Net Contributions by MemberDr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 15 / 18
An index of Integration
Figure: Index of Economic Integration.Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 16 / 18
Next Time:
Institutions of Economic and Monetary Union, development of currentpolicies and prospects for the future. Models of Customs Unions forProduct and Factor Markets and empirical results on levels of integrationacross these markets Readings:
Baldwin & Wyplosz, Chapters 1 and 2 and 3.
Eichengreen, B. The European Economy since 1945, MIT Press, 2007.
* Beach, D., The Dynamics of European Integration, pgs. 1–31, andpgs. 214–244, 337.142 BEA.
El-Agraa, A.M., The European Union: Economics and Policies, 6thed., pgs 1-19 and 72-79, 337.142 AGR.
McDonald, F. and Dearden, S. European Economic Integration, 3rded., pgs 34-53, 337.142 MCD.
Dr Stephen Kinsella (University of Limerick) EC4333, Economics of EU Integration November 17, 2009 17 / 18
Economics of European Integration
Lecture 2
Stephen Kinsella
Dept. Economics,University of [email protected]
November 17, 2009
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 1 / 16
Last Time
Summary 1
The EU is an economic solution to a political problem: how do we avoidanother war?
Summary 2
EU’s history, and its treaty structure, defines the set of choices it canmake now and into the future. History matters.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 2 / 16
Today
1 The Legal System in the EU
2 Institutions of Economic & Monetary Union
3 Big Institutions
4 Decision Making
5 Lisbon
6 Some Microeconomics/models of Customs Unions
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 3 / 16
Learning Outcomes
Understand EU institutions & legal structures
Understand how these institutions promote, enhance, and enmesh EUintegration. (2).
Understand what the Lisbon treaty is, what it might do, and why itfailed the first time.
Refresh your microeconomics.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 4 / 16
Sources of EU Law
Treaty of Rome established the EU legal system.EU law is established on the basis of:
The EU institutions ensuring actions by the EU take account of allmembers’ interests, i.e. the Community’s interest;
The transfer of national power to the Community.
Key Ideas:
1 Autonomy. System is independent of member states.
2 Direct Applicability. EU law is law everywhere.
3 Primacy of Community law. EU law gets final say.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 5 / 16
Pillar Structure
Figure: Legal Structure of the EU, pre-Lisbon.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 6 / 16
Types of LegislationBrilliant resource: http://eulaw.typepad.com/
1 Primary: Treaties2 Secondary: Collective decisions
� Regulations: In force everywhere instantly.� Directives: Apply to some states, only end goal specified� Decisions: single legislative act for company, person, country� Recommendations: not legally binding, can change behaviours� Opinions: same.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 7 / 16
Big EU Institutions
European Council. V. influential.
Council of Ministers. Exactly what it says on the tin.
Commission. Administers, implement EU policies
Parliament. Shares legislative power (including budgetary power) withCouncil and Commission
EU Court of Justice. Court has had a major impact on Europeanintegration via case-law. (eg. Aer Lingus & Ryanair.)
ECB. European Central Bank
Questions of Democracy & Accountability
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 8 / 16
QMV
Qualified Majority Voting,
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 9 / 16
Core Idea of Lisbon
“The good life” which the EU is supposed to promote is not just the‘economic’ good life, but the good life more generally defined.
Line 1 of the Lisbon Treaty: “The Union’s aim is to promote peace,its values, and the well being of its peoples”
Line 1 (Article 2) of the Treaty of Rome: “It shall be the aim of theCommunity, by establishing a Common Market and progressivelyapproximating the economic policies of Member States, to promotethroughout the Community a harmonious development of economicactivities, a continuous and balanced expansion, an increased stability,an accelerated raising of the standard of living and closer relationsbetween its Member States.”
(See http://www.ena.lu/ for fulltext articles)
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 10 / 16
LisbonWhat is it?
What is it? Lisbon Amends Previous Treaties.Why? Streamline Bureaucracy; allow for accession countries, entry,
expand competenciesWhat Changes? Presidency, Introduce Qualified Majority Voting → No
Vetos; EC Council; Foreign affairs reps; fewer MEPS;Defense Policy→ Mutual Assistance; Climate Change/EnergyPolicy/Human Rights competencies :(Exclusive/Joint/National)
What does it mean? Keywords: “Streamlining, expanding, enhancing”, via
1 Common Values2 Common Justice3 Common Foreign Affairs4 Common Defense5 Common Climate Change6 Common Voting Rules
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 11 / 16
Why did Lisbon 1 fail?
3 basic reasons:
1 O’Rourke: Class, see http://voxeu.org/index.php?q=node/1233
2 ECB: Economy, See (1).
3 FF: < Preparation
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 12 / 16
What’ll happen on October 2nd?Things are different this time
1 Surge in unemployment, economy in turmoil (NAMA), high levels ofuncertainty about the future.
2 Implies fear generated by ‘yes’ campaigners of isolation from EU moreeffective
3 However, much more likely to create a backlash against FF again.4 Also, TDs only devoting 2 weeks to campaigning for Lisbon→ Less
preparation.
Figure: Irishtimes.com poll, August 2009.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 13 / 16
To the Blackboard, Batman!
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 14 / 16
Next Time
1 Economics of Preferential Liberalisation
2 Theories of Monetary Union
Get your read on:
Baldwin & Wyplosz, Chapter 5.
* Buiter, W.H. “The Economic Case for Monetary Union in theEuropean Union”, in Deissenberg, Owen and Ulph, eds. European
Economic Integration, published as a supplement to the Review ofInternational Economics, Vols. 4-5., pgs. 10–35. 337.142 DEI.
Hansen, J.D., European Integration: An Economic Perspective,Oxford University Press, 2001, 1st ed. pgs. 163-189, 337.142 DRU.
Healey, N. ‘Economic and Monetary Union’, in McDonald, F. andDearden, S. European Economic Integration, 3rd ed., pgs. 94–114,337.142 MCD.
Wyplosz, C. ‘European Monetary Union: The Dark Sides of a MajorSuccess’, Economic Policy, 2006
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 15 / 16
References
[1] Stefan Griller. The Lisbon Treaty: EU Constitutionalism Without a
Constitutional Treaty? Springer, 2008.
[2] Susan Senior-Nello. The European Union: Economics, Policies, and
History. McGraw-Hill, 2008.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 16 / 16
Economics of European IntegrationLecture 3
Stephen Kinsella
Economics, UL
November 17, 2009
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 1 / 23
Quick Recap
1 EU is an economic solution to a political problem
2 History of integration matters, and reflects current level of integration
3 There are welfare effects to greater integration: microeconomic
analysis can help us understand these effects.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 2 / 23
Today
1 Let’s get our model on
2 Welfare Analysis
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 3 / 23
Data to Explain (1)
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 4 / 23
Data to Explain (2)
Figure: captionStephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 5 / 23
Demand
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 6 / 23
Supply
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 7 / 23
Consumer Surplus
T
h
e
i
m
price
p*
quantity c*
Triangle is sum of all gaps between marginal utility and price paid (summed over total consumption)
Demand
curve =
MU
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 8 / 23
Consumer Surplus (2)
price
p*
quantity
Demand curve
c*
p ’
c ’
A B
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 9 / 23
Import Demand/Supply
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 10 / 23
Welfare Analysis
euros
imports quantity
MS
MD
Z C
Domestic
price, euros
Import
supply curve
Domestic demand curve Domestic
supply curve
Imports
Import
demand curve
Imports
Sdom
Ddom
PFT
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 11 / 23
Right, enough of that. Moving onto customs unions.
European integration involved a sequence preferential liberalisations
but all of these were reciprocal.
Eg: both Home & Partner drop T on each other’s exports Need to
address the 3-nation trade pattern.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 12 / 23
3 big increases in EU economic integration
1 Formation of the Customs Union, 1958- 1986
2 Single Market program, 1986-1992
3 European Economic and Monetary Union, 1992-present
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 13 / 23
Stage of Integration
Stage Internal Common Factor Common Common
of Integration Barriers Ext.Tariffs Mobility Currency Ec. Policy
FTA X
CU X X
Single Mkt X X X
Monetary Union X X X X
Economic Union X X X X X
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 14 / 23
Transactions Costs
Increased economic integration through stages:
1 EMU
2 Common market
3 Economic Union
4 Customs Union
5 Free Trade Area
Generates increases in efficiency and decreases in transactions costs
through Legal, Regulatory, taxation, public procurement, economic and
social policies.
See www.europa.eu.int/pol/tax
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 15 / 23
Basic Idea: Promote Free Trade
Definition (Free Trade)
Absence of tariffs, quotas, or other governmental impediments to
international trade.
Why is trade good?1 Gains from Specialisation
2 Gains from trade
3 Ricardo’s Big Idea.
This creates larger markets, greater access to raw materials, and more
competition. The happy ending should be lower unit costs, since firms are
able to gain economies of scale. From the consumers’ point of view, lower
prices and greater choice should make them happy too.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 16 / 23
Effects of Economic Integration
1 Location Effects. Changes to Growth Patterns caused by extra
investment in home country.
2 Accumulation Effects. Convergence with other countries.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 17 / 23
Trade Creation/Destruction
Definition (Trade Creation)
The increase in trade volume caused by union with a lower cost (more
efficient) supplier within the trade bloc–(1)
(Trade Destruction is the opposite).
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 18 / 23
Estimates of Trade Creation/Trade Diversion
(bn) % GDP
(a) (b) (a) (b)
Barriers to trade 8 9 0.2 0.3
Technical Regs 57 71 2.0 2.4
Ecs. of Scale 60 61 2.0 2.4
X-inefficiency 46 46 1.6 1.6
Total 171 187 5.8 6.4
(At 1985 Prices)
Source: Cecchini Report, Emerson et al, 1988.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 19 / 23
Price Dispersion (Coefficient of Variation)
1985 1993 1996
Private Final Consumption 21.9 15.9 15.9
Government final cons. 25.4 25.9 27.2
Gross fixed capital formation 12.8 14.5 13.5
Construction 19.2 23.6 22.0
Machinery 9.1 6.7 7.7
GDP 20.1 16.2 16.3
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 20 / 23
Summary
1 Let’s get our model on
2 Welfare Analysis
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 21 / 23
Next Time
Get your read on:
El-Agraa, A.M., (2002), The European Union: Economics and
Policies, 6th ed., pgs. 149–164, 337.142 AGR.
Wyplosz, C. ‘European Monetary Union: The Dark Sides of a Major
Success’, Economic Policy, 2006.
Healey, N. ‘Economic and Monetary Union’, in McDonald, F. and
Dearden, S. European Economic Integration, 3rd ed., pgs. 94–114,
337.142 MCD.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 22 / 23
References
[1] Jacob Viner. The Customs Union Issue. Carnegie Endowment, New
York, 1950.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 23 / 23
Economics of European IntegrationLecture 4
Stephen Kinsella
University of [email protected]
November 17, 2009
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 1 / 21
Today
1 Economic and Monetary Union
2 Optimum Currency Area Theory
3 Costs and Benefits of EMU
4 Ancient Rome: This too shall pass
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 2 / 21
Learning Outcomes
1 Analyse effects of preferential liberalisation using MS/MD apparatus.
2 Describe optimal currency area theory and criteria
3 Understand EMU, and its costs and benefits.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 3 / 21
Part One of Four. Preferential Liberalisation
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 4 / 21
Preferential Liberalisation: MS-MD Equilibrium
Domestic price
Home
imports
MD
PFT
RoW
Exports
Partner
Exports
XSP XSR MS
M=XP+XR
Partner Home RoW
Border price
2 1
XP X
R
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 5 / 21
Preferential Liberalisation
Consider Home removes T on imports only from Partner
1st step is to construct the new MS curve The liberalisation shifts upMS (as with MFN liberalisation) but not as far since only on half ofimports
Shifts up MS to half way between MS (free trade) and MS (MFN T ),but more complex, kinked MS curve with PTA.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 6 / 21
Comparative Statics
Domestic price
Home
imports
MD
PFT
RoW
Exports
Partner
Exports
XSP XSR MS
MSMFN
P’
M’ M=XP+XR
Partner Home RoW
Border price Border price
T
P’-T
2 1
X’R X’
P
XP X
R
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 7 / 21
What happens to domestic prices?
domestic price falls to P � from P ��
Partner-based firms see border price rise, P � − T to P ��
RoW firms see border price fall from P � − T to P �� − T .
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 8 / 21
Home/Border Effects
Domestic price
MD
XSP XSR
MS
MSMFN
M’
Border price Border price
MSPTA
P’
T
P”
P’-T
P”-T
XR” XR’ XP’ XP” M”
P’-T
P”
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 9 / 21
Welfare Effects of Customs Union Formation1 In market for good 1, Home change = A + B − C1− C22 In market for good 2, Home change = +D1 + D2, and (D1 = C1)3 Net Home impact = A + B − C24 Partner impact identical. RoW loses big time.
euros
imports
MD
euros
Exports
XS
M’
A
D 2
D 1 C 1
B
C2
XP” XP’ XR” XP’
P’-T
P”
P’
P”-T
CU vs FTA
FTA like CU but no Common External Tariff
Opens door to ‘tariff cheats’, goods from RoW destined for Homemarket enter via Partner if Partner has lower external tariff, called‘trade deflection’
Solution is ‘rules of origin’ meant to establish where a good was made.
Problems: Difficult and expensive to administer, especially as worldget more integrated
Rules often become vehicle for disguised protection.
Despite the origin-problem in FTAs, almost all preferential tradearrangements in world are FTAs.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 11 / 21
Part Two of Four. Optimal Currency Areas
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 12 / 21
OCA Theory
Mundell (1961), Kenen (1969), Tavlas.
See Francesco Mongelli ECB Article.
Basic Idea: when it is a good idea for 2 or more countries to share acurrency?
Definition (Optimum Currency Area)
[T]he optimal geographic domain of a single currency, or of severalcurrencies, whose exchange rates are irrevocably pegged and might beunified. The single currency, or the pegged currencies, can fluctuate onlyin unison against the rest of the world.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 13 / 21
A region is optimal as an OCA to the extent it exhibits:
Labour & factor mobility
Financial market integration. Ingram (1962) noted that financialintegration can reduce the need for exchange rate adjustments.
Production diversification
Openness
Fiscal transfers & fiscal integration
Homogeneous preferences
Commonality of destiny & political integration
OCA theory suffers from problems of inconclusiveness and inconsistency.How can one rank different OCAs? The EMU question is, possibly, morecomplex than the OCA question. Tools just not sophisticated enough.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 14 / 21
Specialisation versus “Endogeneity of OCA”
!"#$%$&'()*+,$-./0($1'$234$%$5/(*6$7887 !"
Due to the need for relatively long time series for the econometric tests, studiesinvestigating OCA properties are by necessity backward looking. Such studies cannot reflecta change in policy preferences, or a switch in policy regime. In fact, monetary integrationwould represent a structural break for any group of countries adopting a new single currency.A question naturally arises: what type of forces might monetary integration unleash? Lookingahead, we may be confronted with two distinct paradigms -- specialisation versus endogeneityof OCA -- which have different implications on the benefits and costs from a single currency.
6. A Tale of Two Paradigms: Specialisation versus “Endogeneity of OCA”
Frankel (1999) singles out two OCA properties as crucial in assessing the net benefitsfrom currency union: their degree of openness, i.e., the extent of reciprocal trade among agroup of partner countries, and their correlation of incomes (capturing over time diverse otherproperties). Countries sharing a high level of eitheropenness or income correlation , butpreferably both properties, will find it beneficial to share a single currency as illustrated inFigure 2. Their trade-off is illustrated by the downward sloping “OCA line” that shows thecombination of openness and correlation of incomes beyond which the advantages from acommon currency would dominate for a group of partner countries. To the left of the OCAline instead the advantages from monetary independence dominate. The US States and thecurrent members of the euro area (according to us) are located on the right of the OCA line:i.e., they draw net benefits from respectively the US dollar and the euro. Among a groupformed by the US, Japan and Europe the advantages from monetary independence wouldinstead dominate: these countries as a group lie instead on the left of the OCA line.
Frankel also notes that the optimum currency area properties evolve over time. Mostauthors agree that reciprocal trade and openness increase among countries sharing a singlecurrency and a common monetary policy in response to a decline in transportation costs and amore stable exchange rate regime. A case in point are the members of the European Unionthat have removed all trade and financial barriers among each other and share a single market.Reciprocal trade has constantly risen among these countries. Statistical estimates usinggravity model of bilateral trade suggest that membership in the EU increases trade with itsmembers by over 60 percent (Frankel and Wei (1998)). There is disagreement thoughconcerning the extent by which income correlation rises or falls following monetary
Advantages ofcommon currencydominate
Advantages ofmonetaryindependencedominate
OCA Line
Extent of trade among membersof group (Openness)
Correlation ofincomesamong group
Figure 2. Two Key Optimum Currency Area Properties
JapanEU
USA
SwedenUK
Denmark
EuroArea
USStates
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 15 / 21
Part Three of Four. Costs and Benefits of EMU.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 16 / 21
Costs of EMU
1 Loss of Flexibility: can’t devalue, less autonomous monetary policy forall
2 Asymmetric Effects of macro shocks
PO PC
YOYC
DO
SO
DC
SC
Very open country Relatively closed country
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 17 / 21
Benefits of EMU
Lower transactions costs
More price transparency
Less uncertainty
More economic growth
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 18 / 21
Part Four of Four. Wome!
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 19 / 21
Cool example of EMU: Rome
The first European monetary union was the Roman Empire.
Throughout a geographical area larger than today’s EU, Roman coinscame to be the predominant medium of exchange.
The widespread use of Roman money was due in part to the presenceof Roman occupying forces, but also to the increased amount ofinternational trade across the empire. Rome did not decree its money.
This common currency area broke down around the end of 5thcentury AD.
The single most important reason for the breakdown was almostcertainly the loss of financial and political control by the Romans.
Rising political instability made trade more risky and difficult so thatinternational trade integration fell.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 20 / 21
Next Time
Growth and development effects in the EU. The logic of growth effects,medium term effects & long term effects.
Baldwin & Wyplosz, Chapter 7.
Badinger, H. Technology and Investment-led growth effects ofeconomic integration. Applied Economics Letters, 15(7), 557-61,2008.
Jones, C. I. Introduction to Economic Growth, McGraw Hill, 2008.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 21 / 21
Economics of European Integration
Lecture 5
Stephen Kinsella
Dept. Economics,University of [email protected]
November 17, 2009
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 1 / 14
Today
1 Growth Effects
2 Solow Model of Growth
3 Ireland’s growth experience
4 Labour and Capital Market Integration
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 2 / 14
Learning Outcomes
Understand the basic story being told about growth in the EU
Explain the Solow model verbally, test it numerically.
Analyse and discuss capital and labour market integration
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 3 / 14
The Growth ‘Story’
EU is sold as providing huge markets which will generate growth for
individual countries.
EU growth effects are ‘accumulation’ effects
They change the rate new factors of produced get used.
The story runs like this:
1 Growth in income per worker requires more output per worker
2 Nation’s labour force can produce more goods and services year after
year only if they have more/better ‘tools’ every year.
� Tools here means: physical capital (machines, etc.),
� human capital (skills, training, experience, etc.) and
� knowledge capital (technology).
3 rate of output growth linked to rate of physical, human and
knowledge capital accumulation.
4 Most capital accumulation is intentional and it is called investment.
5 Thus: European integration affects growth mainly via its effect on
investment in human capital, physical capital and knowledge capital.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 4 / 14
One more time
European integration (or any other policy) → allocation effect →improved efficiency → better investment climate → more investment
in machines, skills and/or technology → higher output per person.
Medium run effects eventually peter out
Growth returns to its long-run rate
Long run effects raise long-run rate forever
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 5 / 14
Data on EU Growth
Period Real GDP Real GDP per capita Real GDP per hour
1890-1913 2.6 1.7 1.6
1913-1950 1.4 1 1.9
1950-1973 4.6 3.8 4.7
1973-1992 2 1.7 2.7
Whole Period
1890-1992 2.5 1.9 2.6
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 6 / 14
Idea
Show medium-run growth in the economy by first assuming a single EU,
closed to trade from the outside. Simple diagram, see Jones (2001) or
Romer (2000) for excellent summaries. Also, see the handout.
A
B
K/L
euros/L
GDP/L
s(GDP/L)
!(K/L) Y/L*
K/L* K/Lo
Io
Do
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 7 / 14
Ireland’s EU Growth Experience
We did well post 1973, through:
External Funding
Large inflow of structural and cohesion funding for the EU had a
beneficial effect on the economy
Demand side effect
Supply side effect
Euro/EMU/Maastricht criteria
Economic criteria (interest rates, inflation rates, level of debt and
exchange rates)
Freer trade
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 8 / 14
That said...
Demographic Trends
Size and composition of labour force can have a significant impact on
the economic development
Education Profile and Cost of Labour Force
Industrial Investment and Incentives
Exchange Rate Policies
Devaluations of 1986 and 1993
The External Economic Environment
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 9 / 14
Data
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Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 10 / 14
Capital/Labour Market Integration
Figure: captionStephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 11 / 14
Welfare Effects
‘Native’ capital-owners in Home lose A; Home labour gains A + B;
Total economic impact on Home citizens is BForeign capital still employed in Foreign gains F ; Foreign labour loses
D + F ; total impact on Foreign-based factors is −D.
Counting welfare of Foreign capital owners whose capital now works
in Home (gains C + D), so overall Foreign welfare gain is C .
Next Time
Macroeconomics of Monetary Integration. Simple IS-LM analysis, PPP,
Balassa-Samuelson effects, changes in aggregate demand during a
downturn. The trilemma.
Baldwin & Wyplosz, Chapters 9 and 10.
Reinhart, C. and Rogoff, K. The modern history of exchange rate
arrangements: a reinterpretation. Quarterly Journal of Economics,
119(1), 1-48, 2002. See Reinhart and Rogoff’s subsequent work on
crises if you’re interested in economic history.
Eichengreen, B. ‘Sui Generis Euro’, download from Eichengreen’s
Berkeley site.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 13 / 14
References
Charles I. Jones. Introduction to Economic Growth. W.W. Norton & Co.,
2001.
David Romer. Advanced Macroeconomics. McGraw Hill/Irwin, 2nd
edition, 2000.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 14 / 14
Economics of European IntegrationLecture 6
Stephen Kinsella
Dept. Economics,University of [email protected]
November 17, 2009
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 1 / 24
Today
1 Monetary Integration
2 EMS and ECB
3 Mundell-Fleming
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 2 / 24
Last Time
Growth effects of continued integration1 Recall OCA theory from lecture 42 OCA Criteria partially fulfilled but EU not an OCA.
Ireland’s growth experience from 1973-2009.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 3 / 24
Today
Macroeconomics of Monetary Integration
PPP/Balassa Samuelson effects
Choice of exchange rates & the EMS system
The European Monetary System
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 4 / 24
But firstAdmin :(
PS1 due next Tuesday before class.
Essays handed back next week in tutorials
Teaching assessment, please submit online asap.
Any other questions?
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 5 / 24
Stages of EMS
1979–83, (unstable international monetary environment)
1983–87, (relatively few realignments)
1987–92, (the ‘hard’ EMS, was characterized by great stability, if notrigidity of exchange rates)
from the 1992 crisis until introduction of the euro in December 1999(widening of most ERM margins).
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 6 / 24
Key Moments (1)
The 1969 Hague Summit envisaged EMU by 1980, but the initiativefailed in the face of the monetary instability of the 1970s.
The ‘snake in the tunnel’ was created in 1972, but by 1973 this hadbecome a ‘joint float’ of currencies linked to the D-mark against thedollar.
The European Monetary System was launched in 1979 and entailed:the exchange rate mechanism, introduction of the ECU, a divergenceindicator and monetary co-operation. The ECU was the forerunner ofthe euro, and the European Monetary Institute provided theinstitutional basis on which to build the future European CentralBank.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 7 / 24
Key Moments (2)
The operation of EMS can be divided into four periods: 1979–83,1983–87, 1987–92 and the 1992 crisis and after. From August 1993,the bands of fluctuation were widened to +/– 15 per cent.
Padoa-Schioppa (1987) refers to the ‘contradictory quartet’ which nointernational monetary arrangement has been able to reconcilesimultaneously: liberalized trade, free capital movements, fixedexchange rates and autonomy of monetary policy. The more recentliterature usually refers to an impossible trinity as trade liberalisationis usually taken for granted.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 8 / 24
Key Moments (3)
The 1993 Maastricht Treaty set out the criteria for joining the singlecurrency, the timetable for its introduction and the main institutionalfeatures of EMU.
The Maastricht criteria entail that successful candidates must haveinflation rates no more than 1.5 per cent above the average of thethree countries with the lowest inflation rate in the EU; long-terminterest rates no more than 2 per cent.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 9 / 24
The Impossible Trinity, the contradictory quartet
Schioppa (1987) refers to the ‘contradictory quartet’ that no internationalmonetary arrangement has been able to reconcile simultaneously:
Liberalized trade;
Free capital movements;
Fixed exchange rates; and
Autonomy of monetary policy.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 10 / 24
Convergence CriteriaBasic Idea
Interest rate convergence
Public finance discipline
Exchange rate stability
Price stability
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 11 / 24
Convergence CriteriaMore specifically
Inflation Not to exceed by more than 1.5% the average of the threelowest rates among EU countries
Long-term interest rate Not to exceed by more than 2% the averageinterest rate in the three lowest inflation countries
ERM membership At least two years in ERM without being forced todevalue
Budget deficit Deficit less than 3% of GDP
Public debt Debt less than 60% of GDP
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 12 / 24
The Euro System and the European System of CentralBanksSee http://www.ecb.int/home/html/index.en.html
European Central Bank (ECB): The relationship between the ECB and theEurosystem resembles the federal banking system of Germany or the USA.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 13 / 24
Structure of the Eurosystem(See Gerdesmeier, Mongelli and Roffia, 2007)
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Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 14 / 24
Tasks of the EurosystemSee Baldwin, Berglof, Giavazzi, Widgren, ‘Preparing the ECB for enlargement’, CEPRPolicy Paper, No. 6, Centre for Economic Policy, 2001.
‘To maintain price stability’.
‘To support the general economic policies in the Community’.
‘To define and implement the monetary policy of the Community’.
‘To conduct foreign exchange operations’.
‘To hold and manage the official foreign reserves of the memberstates’.
‘To promote the smooth operation of payments systems’
‘To contribute to ‘the smooth conduct of policies pursued by thecompetent authorities relating to the prudential supervision of creditinstitutions, and the stability of the financial systems’.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 15 / 24
Fundamental Task of the Eurosystem
The primary objective of the ESCB shall be to maintain pricestability. Without prejudice to the objective of price stability, theESCB shall support the general economic policies in theCommunity with a view to contributing to the achievement ofthe objectives of the Community as laid down in Article 2.
The Maastricht Treaty’s Art.105
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 16 / 24
2 Pillar ECB Strategy
The monthly Eurosystem’s interest rate decisions (every month) rests ontwo pillars:
1 Economic analysis ( Broad review of economic conditions, Growth,employment, exchange rates, abroad Monetary analysis)
2 Evolution of monetary aggregates (M3, etc.)
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 17 / 24
Differences of function between ECB and Fed/BoJ
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9B
9B
Mundell-Fleming
The Mundell–Fleming model can be used to show the effects of monetarypolicy and fiscal policy with fixed and floating exchange rates and perfectcapital mobility.The IS curve illustrates the various combinations of interest rates (i) andnational income (y) that yield equilibrium in the goods market. It isnegatively sloped, since lower interest rates are associated with higherlevels of investment and income (and higher saving and imports) for thequantities of goods and services demanded and supplied to remain equal.The LM curve illustrates all the points at which the money market is inequilibrium
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 19 / 24
Mundell-Fleming Model
i (%) LM LM’ E E’ i=i* BP = 0 IS’ IS National income (Y)
The effects of fiscal and monetary policy in differentexchange rate regimes
Fixed exchange rate Flexible exchange rateMonetary policy ineffective effective
Fiscal policy effective ineffective
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 21 / 24
PPP and the Balassa-Samuelson effect
Definition (Purchasing Power Parity)
For a given basket of goods, over time, in 2 countries, the prices shouldequalise, or PA = e × PB .
Definition (Balassa Samuelson)
Predicts that consumer price levels in wealthier countries are systematicallyhigher than in poorer ones, because productivity growth-rates vary more bycountry in the traded goods’ sectors than in other sectors
Definition (Stolper Samuelson)
A rise in the relative price of a good will lead to a rise in the return to thatfactor which is used most intensively in the production of the good, andconversely, to a fall in the return to the other factor.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 22 / 24
Fiscal policy in a monetary union
Lessons of OCA theory:
it is preferable to have a large enough federal budget to compensatefor the asymmetric shock;
that fiscal policy should be used in a flexible way to compensate forthe asymmetric shock.
(Automatic vs. discretionary fiscal stabilisers)
Cyclical income spillovers
Borrowing cost spillovers
Spillovers associated with excessive deficits
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 23 / 24
Next Time
Competition Policies, Regional Policies and Environmental Policies in theEU.
Baldwin & Wyplosz, Chapter 12.
* El-Agraa, A.M., The European Union: Economics and Policies, 6thed., pgs. 388-399 and 187-199, 337.142 AGR.
Pelkmans, J. European Integration: Methods and Economic Analysis1st ed., pgs. 164–182. 337.142 PEL.
Stephen Kinsella (University of Limerick) Economics of European Integration November 17, 2009 24 / 24
Economics of EU IntegrationLecture 7
Competition Policies, Regional Policies, and Environmental Policies
Stephen Kinsella
Dept. Economics, KBS, [email protected]
November 17, 2009
Stephen Kinsella (UL) EC4333 November 17, 2009 1 / 23
Today
1 Competition Policy: Where it came from, what it is, how it works
2 Regional Policy: what it claims to do
3 Environmental policy: what it might do in the future.
Stephen Kinsella (UL) EC4333 November 17, 2009 2 / 23
Part I
Competition Policy
Stephen Kinsella (UL) EC4333 November 17, 2009 3 / 23
Why do we need competition law?
EU Competition policy attempts to ensure markets
remain competitive (Anti-trust/caterls/mergers control)
become more competitive (liberalization)
maintain level playing field (state aid)
Benefits of competitive markets in the EU
ensures the competitiveness of industry
may lead to technological innovation
produce benefits for consumers (lower prices)
Stephen Kinsella (UL) EC4333 November 17, 2009 4 / 23
History of Competition Policy in EEC/EU
1951 European Coal and Steel Community (ECSC)1 Antitrust and merger rules for coal and steel2 Concept of supranationality EC Treaty
1957 agreement on ambitious competition law (except mergercontrol)
1989 Direct exclusive competence of European CommissionIntroduction of Merger Control Decentralization of the powerto apply antitrust rules
2004 Sharing of competence between European Commission andMember States’ competition authorities
2009 Lisbon?
Stephen Kinsella (UL) EC4333 November 17, 2009 5 / 23
Important Legal Pillars
1 Article 81: No Cartels, no anti competitive agreements
2 Article 82: No Abuse of Dominance
3 Article 86: Liberalization
4 Article 87: State Aid Controls
5 Reg. 139/2004: Merger Control
See Massimo Motta, Competition Policy: Theory and Practice, CUP, 2004.
Stephen Kinsella (UL) EC4333 November 17, 2009 6 / 23
Benefits of Competition Law Enforcement?
Air transport liberalisation: Market entry of low cost carriers(Ryanair’s average European fare ca. 40 eurs / British Airways 268euros)
Air transport cartel: SAS / Maersk cartel (ticket prices increased50%)
Mobile telephony liberalisation: (OECD study)
(See http://europa.eu.int/comm/competition/)
Stephen Kinsella (UL) EC4333 November 17, 2009 7 / 23
Costs of Collusive Behaviour
From Art. 81(1): Collusive behaviour is considered contrary to consumerinterests when it entails agreements to:
Raise prices;
Restrict output, markets, technical development or investment;
Share markets or sources of supply;
Apply dissimilar conditions to equivalent transactions with othertrading parties;
Make the conclusion of contracts subject to supplementaryobligations.
Stephen Kinsella (UL) EC4333 November 17, 2009 8 / 23
Mergers and Acquisitions
M&A activity is high in EU.
Much M&A is mergers within member state:
about 5 per cent ‘domestic’
remaining 45 per cent split between:
one is non-EU firm (24 per cent),
one firm was located in another EU nation (15 per cent)
counterparty’s nationality was not identified (6 per cent).
Stephen Kinsella (UL) EC4333 November 17, 2009 9 / 23
Economic Logic of M&A
Liberalise markets (open them up)→De-fragmentation (imperfectlycompetitive firms now face overseas competitors)→ →Pro-competitiveeffect→Industrial restructuring (M&A, etc.) =⇒ RESULT: fewer, bigger,more efficient firms facing more effective competition from each other .
Stephen Kinsella (UL) EC4333 November 17, 2009 10 / 23
Industrial Policy in EU
Big idea: use industrial policy to increase competitiveness for benefitsdescribed above.
Assume imperfect competition, increasing returns to scale.
In the absence of perfect competition firms will change a price that isabove their marginal cost in order to maximize profit
If there are more firms in the market, competition will lower themark-up that each firm can charge
With imperfect competition and increasing returns to scale only agiven number of firms can survive in a market.
The higher the mark-up (or gap between prices and marginal cost)the more firms can survive.
The break-even curve (or zero profit curve) shows how many firmscan break even at each level of mark-up
Stephen Kinsella (UL) EC4333 November 17, 2009 11 / 23
Relationship summarised in BE-COMP Diagram
5 (Deriving the Comp curve in the BE-Comp diagram) This question shows how we derive the relationship between choice of mark-up and number of firms that we use in the lectures (the comp curve). Consider a product market with firms subject to increasing returns to scale. Consider the simplest possible form of increasing returns to scale: firms face a fixed cost of operating (f) and a constant marginal cost (c). Demand in this market is isoelasitic: . There are n firms in the market. All firms have identical cost functions. Assume that each firm takes the other firm’s outputs as given when making their own output decision (i.e. assume firms play Cournot)
/1PQ
(i) Write down the perceived marginal revenue curve for each producer. (ii) Use the Cournot assumption and the fact that firms share the market to show that the equilibrium mark-up is such that .)/1( cnP (iii) Use your answer to (ii) to show that cP is decreasing with the number of firms (i.e. to show that the Comp curve is downward sloping). (iv) Do firm’s always break even at this price-marginal cost mark up? 6 (Deriving the BE curve in the BE-Comp diagram) This question shows how we derive the relationship between the break even mark-up and number of firms that we use in the lectures (the BE curve). Technology is as in question 5. Assume that all firms are identical. (i) What is the relationship between price and average costs that ensures that firms break even? (ii) Use this relationship to show that the BE curve slopes upwards (i.e. the mark-up needed to break even increases with the number of firms) 7 (Using the BE-Comp diagram) i) Use a three panel diagram like the one above to show how the number of firms, mark-up and firm size would change in a closed economy if the demand for a particular good doubled. [Based on exercise 6.2 B&W].
Figure: The break-even curve (or zero profit curve) shows how many firms canbreak even at each level of mark-up
Stephen Kinsella (UL) EC4333 November 17, 2009 12 / 23
Use BE-COMP to think about integration
Assume integration leads to trade liberalisation between two countries:home and foreign.
1 The impact of the trade liberalisation implied by integration is toincrease the size of the market leading to more competition.
2 Increased competition means that the typical firm will have to cut itsmark-up.
3 At the same time the larger market means that more firms cansurvive.
4 This is because the larger market creates opportunities for highersales, so with a given mark-up a larger number of firms can survive.
Can also think about mergers and acquisitions. See paper by [3], also [1,Chapters 6 and 12], and [2].
Stephen Kinsella (UL) EC4333 November 17, 2009 13 / 23
Part II
Regional Policy
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Who is regional policy for?
Less-favoured regions
Areas with specific handicaps
Vulnerable groups in society
Local and regional authorities
Applicant countries
Stephen Kinsella (UL) EC4333 November 17, 2009 15 / 23
What does it do?
Improving regional competitiveness
Expanding and improving employment
Balanced development in urban and rural areas and areas dependenton fisheries
Embeds other Community policies at the service of the regions
Supports notion of ‘Europe of Regions’
Facilitates loans from the European Investment Bank
Stephen Kinsella (UL) EC4333 November 17, 2009 16 / 23
Unemployment: A Pressing concern in the EU
Stephen Kinsella (UL) EC4333 November 17, 2009 18 / 23
Challenges for Regional Policy
Competition
Flexibility of firms due to technological change
Enlargement
Stephen Kinsella (UL) EC4333 November 17, 2009 19 / 23
Part III
Environmental Policy
Stephen Kinsella (UL) EC4333 November 17, 2009 20 / 23
There is a problem.
Stephen Kinsella (UL) EC4333 November 17, 2009 21 / 23
Summary
1 Competition policy is key for economic and monetary union to succeed
2 Regional policy is built on opposite of competition–all about socialcohesion
3 Environmental policy: a lot done, more to do.
Stephen Kinsella (UL) EC4333 November 17, 2009 22 / 23
References
[1] Richard Baldwin and Charles Wyplosz. The Economics of EuropeanIntegration. McGraw-Hill, London, 3rd edition, 2009.
[2] Michael Burda and Charles Wyplosz. Macroeconomics: A EuropeanText. Oxford University Press, 2nd edition, 1997.
[3] Martina Martynova and L.D.R. Renneboog. Mergers and acquisitionsin europe. Discussion Paper 6, Tilburg University, Center for EconomicResearch, 2006.
Stephen Kinsella (UL) EC4333 November 17, 2009 23 / 23
Economics of EU Integration
Lecture 8Inequality in the EU
Stephen Kinsella
Dept. Economics, KBS, [email protected]
November 17, 2009
Stephen Kinsella (UL) EC4333 November 17, 2009 1 / 26
Today
1 Defining Inequality
2 Social Policy & Employment Strategies
3 CAP, Inequality & Reforms by 2013
Admin: Problem set 2 due Tuesday of week 11; sample exam up.
Stephen Kinsella (UL) EC4333 November 17, 2009 2 / 26
Part I
Inequality in the EU
Stephen Kinsella (UL) EC4333 November 17, 2009 3 / 26
Inequality is...
Definition (Income inequality)
The ratio of total income received by the 20% of the population with thehighest income (top quintile) to that received by the 20% of thepopulation with the lowest income (lowest quintile).
See http://www.eurofound.eu.int/areas/qualityoflife/eurlife/index.php.
EMU improves economic performance, but is also associated withhigher inequality and lower social spending
Why?
Bertola (2007) found inequality variation associated with EMU is fullyaccounted for by changes in social policy expenditure as a share ofGDP. See http://voxeu.org/index.php?q=node/600.
Notion of ‘inequality tolerance’
Stephen Kinsella (UL) EC4333 November 17, 2009 4 / 26
How bad is it?
Figure: Inequality in EU over time. Source: Bertola, (2007)
Stephen Kinsella (UL) EC4333 November 17, 2009 5 / 26
Gini for EU-27Recall: GINI = 0, equal, GINI = 1, unequal. Lowest is Sweden with 0.23, highest isPortugal with 0.39.
0.22 to 0.24 0.28 to 0.3 0.34 to 0.36
0.24 to 0.26 0.3 to 0.32 0.36 to 0.38
0.26 to 0.28 0.32 to 0.34 0.38 to 0.4
Figure: Gini for EU-27. Lower means more equal. Source:www.wolframalpha.com.
Look at GINI a different way
0 5 10 15 20 25
0.25
0.30
0.35
0.40
rank
Giniindex
rank curve
Figure: Ranked plot of Gini coefficients.
Stephen Kinsella (UL) EC4333 November 17, 2009 7 / 26
Part II
Social Policy in the EU
Stephen Kinsella (UL) EC4333 November 17, 2009 8 / 26
Defining Social Policy
Social Policy
Social policies include the various measures to regulate the labour marketbut also measures to combat poverty and social exclusion, and to improveeducation, training, housing and health care.
Treaty of Rome lays the foundations:
1 Free movement of workers (Articles 48–51);
2 Improvement in working conditions and in standards of living (Articles117–128);
3 Equal opportunities for men and women (Article 119); and
4 The creation of the European Social Fund (Article 123).
Stephen Kinsella (UL) EC4333 November 17, 2009 9 / 26
EU Employment Strategy
To develop a co-ordinated strategy of the member states towardunemployment;The commitment to achieving a high level of employment isrecognised as one of the key objectives of the EU;Employment is a matter of common concern;Member states and the EU were obliged to work together indeveloping a co-ordinated strategy towards employment;The ’mainstreaming’ of employment policy, which must be taken intoaccount in the formulation of all EU policies and strategies;Establishment of an Employment Committee to play a part in theseprocesses and serve as a forum for debateDecisions on employment policy are to be taken by a qualifiedmajority.
Looking good: Employment of women in the EU(27) rose from 53.7 percent in 2000 to 57.3 per cent in 2006, just above the Lisbon target of 57per cent for 2005, but still below the Lisbon target of 60 per cent for 2010.
Stephen Kinsella (UL) EC4333 November 17, 2009 10 / 26
Social Protection Expenditure
EU27 spent 26.9% of GDP on social protection. (Highest ratios in France,Sweden, Belgium). See Social protection in the European Union - Issuenumber 46/2008 Functions of social protection.
1 Sickness/health care: income maintenance and support in cash inconnection with physical or mental illness.
2 Family/children: support in cash or kind (except health care) inconnection with the costs of pregnancy.
3 Disability: income maintenance and support in cash or kind (excepthealth care) in connection with the inability of people with physical ormental disabilities to engage in economic and social activities.
4 Old age: income maintenance and support in cash or kind (excepthealth care) in connection with old age.
5 Survivors: income maintenance and support in cash or kind inconnection with the death of a family member (e.g. Survivor’spensions).
Stephen Kinsella (UL) EC4333 November 17, 2009 11 / 26
Social expenditure is big money.
2 46/2008 — Statistics in focus
27.2% of GDP was spent on social protection in 2005
In 2005, gross average expenditure on social protection (see methodological notes) accounted for 27.2% of GDP in the EU-27 countries (see Figure 1 and Table 1).
In 2005, the EU-27 countries with average or above-average ratios (27.2% or more) accounted for 39.6% of the EU population, the group with between 22.3% and 27.2% accounted for 30.0% of all EU inhabitants, and those spending between 17.4% and 22.3% of their GDP on social protection for 21.9%. Countries that spent less than 17.4% of
their GDP on social protection accounted for only 8.5% of the EU population.
The countries with the highest ratios - Sweden (32.0%), France (31.5%), Denmark (30.1%), Belgium (29.7%), Germany (29.4%), Austria (28.8%) and the Netherlands (28.2%) - spent more than twice as much (in relation to GDP) as the three countries with the lowest ratios, namely the Baltic countries: Latvia (12.4%), Estonia (12.5%) and Lithuania (13.2%).
There was a large difference between countries in terms of expenditure on social protection (in PPS* per capita)
If social protection expenditure is expressed in terms of per capita PPS (purchasing power standards), the differences between countries are more pronounced (see Figure 2).
Within the EU-27, Luxembourg had the highest expenditure in 2005 (12 946 PPS per capita)1, followed by Sweden and Denmark (more than 8 400 PPS per capita). The average value in these three countries is 8 times higher than in the three EU countries with the lowest expenditure, i.e. Romania (1 088 PPS per capita), Bulgaria and Latvia.
Of the countries outside EU-27, expenditure is highest in Norway (9 525 PPS), just below that of Luxembourg.
The disparities between countries are partly related to differing levels of wealth, but they also reflect differences in social protection systems, demographic trends, unemployment rates and other social, institutional and economic factors.
Figure 2: Expenditure on social protection in PPS* per capita, 2005
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differences. PPS values are derived from purchasing power parities (PPPs), which are obtained as weighted averages of relative price ratios in respect of a homogeneous basket of goods and services, comparable and representative for each Member State.
** Data for Portugal refers to 2004 Source: Eurostat-ESSPROS
1 Luxembourg is a special case in that a considerable proportion of benefits are paid to people living outside the country (primarily
expenditure on health care, pensions and family benefits). If this particular feature is left out of the calculation, expenditure falls to approximately 10 902 PPS per capita.
Figure: % Overall social expenditure in the EU-27
Stephen Kinsella (UL) EC4333 November 17, 2009 12 / 26
Breakdown of social expenditure in the EU
Statistics in focus — 46/2008 3
Social protection expenditure as a percentage of GDP has remain stable since 2003 Looking at the EU-15 countries as a whole (for which data is available dating back to 1990), social protection expenditure as a percentage of GDP fell to 27.0% by 2000 after peaking at 28.7% in 1993. From 2001 to 2003, this ratio rose continuously to reach 27.8% in 2005 (see Table 1). However, social protection expenditure as a percentage of GDP has remained stable in the EA-13, as well as in the EU-15 and the EU-25 since 2003. This stability seems to be due to the difference between countries such as Germany, Austria, Poland and the Czech Republic on the one hand, where social protection expenditure as a percentage of GDP fell between 2003 and 2005, and countries such as Belgium, Ireland, France, Italy and Spain on the other hand, where social expenditure as a percentage of GDP rose continuously from 2000.
Between 2000 and 2005, expenditure on social protection as a percentage of GDP in the EU-25 was about 0.4 percentage points lower than in the EU-15.
Social protection expenditure goes to areas that either are not particularly affected by the economic situation (such as health expenditure and pensions) or are in fact counter-cyclical (unemployment or social exclusion).
Since 2000, in countries which continued to show strong GDP growth (Estonia, Latvia, Lithuania, Poland, Slovenia and Slovakia), the share of social protection expenditure in GDP has decreased.
In 2005, out of the total EU-27 expenditure on social protection (see Figure 3), social benefits accounted for 96.2%, administration costs for 3.1% and other expenditure for 0.7%.
Table 1: Expenditure on social protection (as % of GDP) 2000 2001 2002 2003 2004 2005
EU 27 : : : : : 27.2EU 25 26.6 26.8 27.1 27.4 27.3 27.4 Figure 3: Structure of social protection expenditureEU 15 27.0 27.1 27.4 27.8 27.7 27.8 in EU-27, 2005EA 13 26.8 26.9 27.4 27.8 27.8 27.8BE 26.5 27.3 28.0 29.1 29.3 29.7BG : : : : : 16.1CZ 19.5 19.5 20.2 20.2 19.3 19.1DK 28.9 29.2 29.7 30.9 30.9 30.1DE 29.3 29.4 30.0 30.3 29.6 29.4EE 14.0 13.1 12.7 12.6 13.1 12.5IE 14.1 15.0 17.3 17.8 18.2 18.2EL 23.5 24.1 23.8 23.6 23.6 24.2ES 20.3 20.0 20.3 20.4 20.6 20.8FR 29.5 29.6 30.4 30.9 31.3 31.5IT 24.7 24.9 25.3 25.8 26.0 26.4CY 14.8 14.9 16.2 18.4 17.8 18.2LV 15.3 14.3 13.9 13.8 12.9 12.4LT 15.8 14.7 14.1 13.6 13.3 13.2LU 19.6 20.9 21.6 22.2 22.3 21.9HU 19.3 19.3 20.4 21.1 20.7 21.9MT 16.5 17.4 17.5 17.9 18.4 18.3NL 26.4 26.5 27.6 28.3 28.3 28.2AT 28.1 28.4 29.0 29.3 29.0 28.8PL 19.7 21.0 21.1 21.0 20.1 19.6PT 21.7 22.7 23.7 24.1 24.7 :RO 13.2 13.2 13.4 12.6 15.1 14.2SI 24.6 24.8 24.8 24.1 23.7 23.4SK 19.3 18.9 19.0 18.2 17.3 16.9FI 25.1 24.9 25.6 26.5 26.6 26.7SE 30.7 31.2 32.2 33.2 32.7 32.0UK 26.9 27.3 26.2 26.2 26.3 26.8IS 19.2 19.4 21.2 23.0 22.6 21.7NO 24.4 25.4 26.0 27.2 25.9 23.9CH 26.9 27.6 28.5 29.1 29.3 29.2
Survivors4.3%
Housing2.2%
Social exclusion
1.2%
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7.7%
Unemployment5.8%
Admin. costs3.1% Other
expenditure0.7%
Old age39.9%
Disability7.6%
Sickness/ Health care
27.5%
Social benefits 96.2%
* The ratio EU27, EU25, EU15 and EA13 for 2005 is calculated with the 2004 data for Portugal Source: Eurostat-ESSPROS
Growth rate in per capita expenditure at constant prices fell in 2005 Per capita social protection expenditure at constant prices has increased steadily since 2000: in the
EU-25 it increased by an average of 2.1% per annum over the period 2000-2005 (see Table 2).
Figure: Breakdown of social expenditure in the EU. Source: Eurostat
Stephen Kinsella (UL) EC4333 November 17, 2009 13 / 26
Social transfers matter for poverty removal, 2006
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Figure: Social transfers by country in the EU-27 as a % of GDP in each country.Source: Eurostat
Stephen Kinsella (UL) EC4333 November 17, 2009 14 / 26
Part III
Routes out of Inequality
Stephen Kinsella (UL) EC4333 November 17, 2009 15 / 26
BabiesRemember Solow
(Mathematica Example)
174
EUROPE’S DEMOGRAPHIC FUTURE: FACTS AND FIGURES ON CHALLENGES AND OPPORTUNITIES
Figure 9 shows the different patterns of fertility decline in Europe. The drop in fertility took place firstly in Northern and WesternEurope, and was followed by Southern Europe with almost a 10 year delay and with a 20 year delay for Central Europe. Despitethese time lags fertility in Southern and Central Europe is today lower than in Western and Northern Europe. This means that thevarious parts of the EU are basically following the same transition albeit with important phase differences.
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Figure 9 Fertility trends in the EU between 1960 and 2003
Source: Eurostat.* Level needed for the replacement of generations.
Total fertility rate, 1960-2003
Central Western Europe Central Eastern Europe
Central Northern Europe Central Southern Europe
EUROPE’S DEMOGRAPHIC FUTURE: FACTS AND FIGURES ON CHALLENGES AND OPPORTUNITIES
Part 3 – GREEN PAPER ‘CONFRONTING DEMOGRAPHIC CHANGE: A NEW SOLIDARITY BETWEEN THE GENERATIONS’
Figure: Source: Eurostat 2008, Europe’s demographic future: Facts and figures,Policies
Stephen Kinsella (UL) EC4333 November 17, 2009 16 / 26
And again:
174
EUROPE’S DEMOGRAPHIC FUTURE: FACTS AND FIGURES ON CHALLENGES AND OPPORTUNITIES
Figure 9 shows the different patterns of fertility decline in Europe. The drop in fertility took place firstly in Northern and WesternEurope, and was followed by Southern Europe with almost a 10 year delay and with a 20 year delay for Central Europe. Despitethese time lags fertility in Southern and Central Europe is today lower than in Western and Northern Europe. This means that thevarious parts of the EU are basically following the same transition albeit with important phase differences.
1960 1970 1980 1990 2000
1960 1970 1980 1990 2000
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Figure 9 Fertility trends in the EU between 1960 and 2003
Source: Eurostat.* Level needed for the replacement of generations.
Total fertility rate, 1960-2003
Central Western Europe Central Eastern Europe
Central Northern Europe Central Southern Europe
EUROPE’S DEMOGRAPHIC FUTURE: FACTS AND FIGURES ON CHALLENGES AND OPPORTUNITIES
Part 3 – GREEN PAPER ‘CONFRONTING DEMOGRAPHIC CHANGE: A NEW SOLIDARITY BETWEEN THE GENERATIONS’
Figure: Source: Eurostat 2008, Europe’s demographic future: Facts and figures,Policies
Stephen Kinsella (UL) EC4333 November 17, 2009 17 / 26
Important trends
1 Gender Equality and Family situation
2 Ageing and the Labour Market
3 Education, R&D, Productivity
4 Migration & Integration
5 Sustainability of Public Finances and Social Protection
See: Economic Policy Committee and European Commission (2006), ‘Theimpact of ageing on public expenditure: projections for the EU-25 MemberStates on pensions, health care, long-term care, education andunemployment transfers (2004-50)’ in European Economy Reports andStudies, No1.
Stephen Kinsella (UL) EC4333 November 17, 2009 18 / 26
Education
“The race between technology and education” determines incomeinequality.Idea: increase supply of highly educated workers, reduce income inequalityover time.See Claudia Goldin and Lawrence Katz The Race between Education andTechnology, Harvard University Press, 2008
Stephen Kinsella (UL) EC4333 November 17, 2009 19 / 26
Public Service Provision
Discuss in Class
Raising and indexing to inflation the minimum wage, enhancing EarnedIncome Tax Credits, and expanding and improving public services ought tobe our top priorities for boosting the incomes and living standards of Irishcitizens in the lower half of the income distribution
Stephen Kinsella (UL) EC4333 November 17, 2009 20 / 26
Part IV
The CAP and Inequality
Stephen Kinsella (UL) EC4333 November 17, 2009 21 / 26
The CAP
1 Initially a price support mechanism
2 Mansholt Plan (1968); Series of reforms 1970’s and 1980’s
3 MacSharry reforms & Agenda 2000, Fischler reforms
Rural development measures 2007-2013.
1 Competitiveness
2 Land Management
3 Wider rural development
4 Training and skills
Stephen Kinsella (UL) EC4333 November 17, 2009 22 / 26
Spending by product group, 2007
arablesugarolive oilother veg.productswinemilkbeefother animal productsSerie 9
arablesugarolive oilother veg.productswinemilkbeefother animal products
Dati insufficienti per un diagramma.Il riquadro è troppo piccolo per tracciare il diagramma.arablesugarolive oilother veg.productswinemilkbeefother animal products
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Figure: Spending by product group, 2007
Stephen Kinsella (UL) EC4333 November 17, 2009 23 / 26
CAP changes after 2013Biggest.Row.Ever.
Increased co-financing by member states
Making regionalisation mandatory;
Increased compulsory modulation;
An end to milk quotas;
Improved management of risk;
De-gressivity of direct payments (a fixed percentage decrease over aspecified interval of time);
Ceilings/caps on transfers to individual farms, and cancelling those offarms below a minimum size.
Continued promotion of biofuels
See Colman, D.‘The Common Agricultural policy’, in Artis, M. andNixson, F. (eds), The Economics of the European Union. Policy andAnalysis, 4th ed., Oxford University Press, 2007.
Stephen Kinsella (UL) EC4333 November 17, 2009 24 / 26
CAP & Enlargement
(See handout)
Stephen Kinsella (UL) EC4333 November 17, 2009 25 / 26
Next Time
Enlargement: Political Economy of accession to the EU, capital marketintegration.
Baldwin & Wyplosz, Chapter 19
* Estrin, S. and Holmes, P. Competition and Economic Integration inEurope, pp. 1–22. 337.142 EST
Smith, E. ‘EU Competition Policy Without Membership: Lessons forthe European Economic Area’, in Estrin, S. and Holmes, P.Competition and Economic Integration in Europe, pgs. 48–60.337.142 EST
Willem H. Buiter and Anne C. Sibert, ‘Eurozone Entry of New EUMember States from Central Europe: Should They? Could They?’
Stephen Kinsella (UL) EC4333 November 17, 2009 26 / 26
Economics of EU Integration
Lecture 9Enlargement: Political Economy of accession to the EU
Stephen Kinsella
Dept. Economics, KBSUniversity of [email protected]
November 17, 2009
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 1 / 30
From last time:
The Common Agricultural Policy.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 2 / 30
Part I
The CAP and Inequality
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 3 / 30
The CAP
1 Initially a price support mechanism
2 Mansholt Plan (1968); Series of reforms 1970’s and 1980’s
3 MacSharry reforms & Agenda 2000, Fischler reforms
Rural development measures 2007-2013.
1 Competitiveness
2 Land Management
3 Wider rural development
4 Training and skills
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 4 / 30
Spending by product group, 2007
arablesugarolive oilother veg.productswinemilkbeefother animal productsSerie 9
arablesugarolive oilother veg.productswinemilkbeefother animal products
Dati insufficienti per un diagramma.Il riquadro è troppo piccolo per tracciare il diagramma.arablesugarolive oilother veg.productswinemilkbeefother animal products
!
Figure: Spending by product group, 2007
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 5 / 30
CAP changes after 2013Biggest.Row.Ever.
Increased co-financing by member states
Making regionalisation mandatory;
Increased compulsory modulation;
An end to milk quotas;
Improved management of risk;
De-gressivity of direct payments (a fixed percentage decrease over aspecified interval of time);
Ceilings/caps on transfers to individual farms, and cancelling those offarms below a minimum size.
Continued promotion of biofuels
See Colman, D.‘The Common Agricultural policy’, in Artis, M. andNixson, F. (eds), The Economics of the European Union. Policy andAnalysis, 4th ed., Oxford University Press, 2007.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 6 / 30
CAP & Enlargement
(See handout)
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 7 / 30
Part II
Accession in the EU
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 8 / 30
Today
Impportant Questions
Has the widening of the EU been a success?
The benefits and costs of enlargement for1 New member states2 Existing (established) members of the EU3 The EU economy as a whole
EU enlargement and immigration policy
How many more countries will join?
Will enlargement prevent final economic union?
How many new states will join the Euro?
What of states that remain outside of the EU e.g. Norway,Switzerland, and Iceland?
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 9 / 30
Here comes the history bit.
Europe has added new members periodically
Six Main Waves of EU Enlargement
1973 (UK, Ireland and Denmark)
1981 (Greece)
1986 (Portugal and Spain)
1995 (Austria, Finland and Sweden)
2004 (Ten new countries)
2007 (Bulgaria and Romania)
See Senior-Nello (2008) and Burda and Wyplosz (1997) for details of thisenlargement.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 10 / 30
Right now
Figure: EnlargementStephen Kinsella (University of Limerick) EC4333 November 17, 2009 11 / 30
Data
Figure: Convergence
More Data
1995 2000 2005
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Ireland
European Union
�from 1991 to 2007 ; in percent per year �Figure: Real GDP Growth EU, Ireland, Poland.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 13 / 30
Data: Inflation
1995 2000 20050.1
0.51.0
5.010.0
50.0100.0
Poland
Ireland
European Union�log scale �
�from 1991 to 2007 ; in percent per year �Figure: Inflation in EU, Ireland, Poland.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 14 / 30
GDP vs UE: Estonia
Figure: GDP and Unemployment in Estonia
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 15 / 30
Problems with Convergence
Figure: GDP Convergence.
Criteria for Entry
Stability of political institutions guaranteeing democracy, the rule oflaw, human rights and respect for and protection of minorities
A fully functioning market economy that meets the standards requiredfor participation in the single market
Price Liberalisation: Moving away from state controlled prices toallow the price mechanism greater influence in allocating resources
Privatisation: Transfer of ownership, Development of private sectorcapital markets
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 17 / 30
Gains from joining the EU
Membership of the EU Single Market gives new entrants:
Trade Exploiting comparative advantage to increase trade.
Investment Free movement of capital – looking for the highest return.
FDI Inward investment to aid transformation of nationalinfrastructure – impact on a country’s LRAS / trend growth.
Competition More competition – a boost to labour productivity
Efficiency gains Dynamic efficiency gains from higher capital investmentand faster pace of innovation.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 18 / 30
Gains for Accession Countries
Financial Support
Countries will be net recipients of income from
Common Agricultural Policy
EU Structural funds
Many regions have per capita incomes well below the 75% thresholdfor Objective 1 funding
92% of population of accession countries lives in regions with aGDP/head under 75% of the EU25 average. 61% of the populationlives in regions below 50%.
Much of the EU funding will help to finance investment
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 19 / 30
Macro advantages
Potential macroeconomic advantages
Reduced exchange rate volatility – many countries are keen to jointhe Euro to reduce exchange rate risk and benefit from lower interestrates.
Slovenia, Slovakia, Cyprus and Malta have joined the single currency
Slovenia – January 2007 / Cyprus and Malta – January 2008 /Slovakia – January 2009
Other countries do not meet the entry requirements or have chosen toremain outside – to retain monetary policy flexibility
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 20 / 30
Gains for existing EU Members
Export potential and exploitation of economies of scale
Foreign Investment and Incomes and Profits
More diverse European labour market
A cleaner environment
Reforms to the CAP (2013)
Spur to countries to reform their labour markets in the face of lowerlabour cost competition
Many countries are already engaging in tax competition
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 21 / 30
Useful ways to think about enlargement
Useful diagrams for this topic:
Trade diagrams – welfare effects from single market, exploitation ofcomparative advantage
AD-AS diagrams
Inward investment effects
Economic shocks within the enlarged EU economy
Economies of scale
Labour market diagrams e.g. impact of migration
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 22 / 30
Thinking a bit more about the sources of growth
The Sources of Growth
Productivity
Capital Stock
InventionInnovation
Technology
Labour Inputs
NaturalResources
EconomicGrowth
Fixed Capital
Infrastructure
Social Capital
Labour productivity
Total factor productivity
Labour Supply
Labour Utilisation
Human Capital
Figure: Sources of growth.Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 23 / 30
Political Economy of Enlargement
Discuss. Who actually supported enlargement?
Reasons for support: Geographical proximity/Potential for Economicgain/Influence?
Limited Enlargement Inclusive EnlargementDrivers AT, FI, GC UK, DK, SWE
Brakemen BE, LUX, NE FR, GR, IRE, IT, PORT, SP
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 24 / 30
Failure of Treaty of Nice
“The starting point is that eastern enlargement can only be successfullycompleted if the interests of decisive players in present EU countries arerespected.”“On the one hand, enlargement is beneficial for important politicalfunctions of EU activities—particularly those of a public good character.On the other hand, there are concerns in regard to the private benefitsfrom integration largely associated with spending policies”See Heinemann (2002);Kohler (2004);
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 25 / 30
Who has the power in the EU?From Barr and Passarelli (2009)
J. Barr, F. Passarelli / Mathematical Social Sciences 57 (2009) 339–366 351
Fig. 2. EU15 stance toward EU (Spring 2003).
3.1.2. The EU 27
In regard to the 27 member countries, the first two principal components also account for roughly70% of the variance in the data. We again found a similar pattern with regard to the factors: thatfirst factor is the stance toward the EU on inter-national issues, while the second factor is the stancetoward the EU on domestic issues. The ideal points are presented in Fig. 3. Notice that because wenow include 27 countries rather than 15, the relative positions of the countries change. For example,whereas in the EU15 case, Germany and France have close positions, their relative positions becomefurther apart when we include all 27 countries. However, in both cases we find that Germany andFrance are located in the third quadrant of the graph. The reason for this spread has more to do withhow the relative positions of Portugal and Luxembourg change. In the EU15 case they are relatively‘‘far away’’ from Germany and France. However, when we include 27 countries, these two countriesare relatively closer to Germany and France than the much more Euro-enthusiastic countries such asSlovenia and Romania. As a result, there is a kind of ‘‘compression’’ of the moderate EU15 countrieswithin the EU27 landscape.
The newcomers from Eastern Europe tend to have generalized strong attitudes toward EUcentralization in domestic policy domains (high intra-national stance). A certain degree of diversity isassociated to the inter-national stance, probably due to mixed-feelings toward nationalism.
A rapid comparison of Figs. 2 and3 reveals that the ‘‘topology’’ of the coalitionswill change radicallyin the next few years, after enlargement. The ‘‘center’’ of the EU political space moves upwards, i.e., atleast for intra-national issues, the average propensity to centralize the decision making at Europeanlevel rises consistently. Some oldmembers that could be considered relative Euro-enthusiasts becomemoderate, if not Euro-skeptical after enlargement.19 We expect that countries that were determinant(pivotal) for some policy issues and irrelevant for some others will probably be in a very differentposition after the new members will have joined. Below, we provide quantitative evidence of thesechanges.
19 Observe that here we are talking about the relative attitudes of the countries toward the EU. The coordinates of the graphschange as a result of the PCA. Intuitively, the origin of the graph somehow reflects the barycentre of the political space.The position changes after the enlargement, do not imply that the citizens change their mind toward the EU because of theenlargement. It rather means that it is the center of the space to have shifted after enlargement.Since our analysis is intended to generate all the possible orderings of the players, then any possible issue of the political
space (on Hm−1) is considered. We do not have one specific point of the space that represents the status quo.
Figure: EU 15 Stance
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 26 / 30
When EU expands:
352 J. Barr, F. Passarelli / Mathematical Social Sciences 57 (2009) 339–366
Fig. 3. EU27 stance toward the EU (Spring 2003).
3.2. Measures of power
As discussed above, our objective is to evaluate the relative frequency that each Europeanmember
is pivotal within the Council of the Ministers, recognizing that the probabilities of the coalitions are
constrained by the preferences of the players. We present three different voting games to highlight
how the interaction of voting rules and preferences can alter the distribution of power.
1. The first is the pre-enlargement situation: 15 members and vote allocation more favorable to
the small and middle-size countries. We will refer to this scenario as pre-Nice.2. The second scenario takes into account the enlargement of the EU by the 12 members and the
re-weighting agreed at Nice. This is what we call the post-Nice scenario. It has come into force as of
November 1st 2004.20
3. The third scenario is represented by the Lisbon Treaty (LT): in which the old weighted voting
system is substituted by a double majority, based on both population and number of countries.21
3.2.1. Pre-Nice – 15 MembersTable 1 shows the results for the Pre-Nice scenario. It reports the standard Shapley–Shubik index
(S–S), the normalized Banzhaf index (NBI) and the ideological index in the Owen–Shapley perspective
(O–S) presented above in Section 2.1.1. If we look at the O–S values, we see that the number of votes
is no longer a good predictor of power. Shifting from standard S–S and NBI indices to the ideological
O–S value, yields a concentration of power. This is due to zero-probability, assigned to a large number
of ideologically non-consistent coalitions.
20Changes in the vote allocation from the pre-Nice situation to post-Nice can be seen by comparing column two of Tables 1
and 2. In the Treaty of Nice, the qualified majority threshold was increased from 62 out of 87, to 250 out of 345.
The Treaty of Nice prescribed that bills be passed by the Council with two quotas: a majority of states, and at least 62%
of the total population of the Union. These additional conditions produce negligible effects on winning coalitions. There is
widespread consensus about this point and we verified it through simulations. Thus, we disregard in our analysis these, and
other complicating aspects of the EU decision making, such as amendments, abstentions etc.
21The doublemajority sets two conditions for the passage of a bill: (a) more than 55% ofmember states vote ‘‘yes’’; and (b) the
population of the countries who have voted ‘‘yes’’ represents at least 65% of the total population of the EU.
For a limited number of issues, unanimity has been kept. Moreover, in the LT, a sort of safeguard clause has been introduced.
For simplicity, we focus here on double majority.
Figure: EU27 Expands.Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 27 / 30
Future prospects
Romania and Bulgaria (2007)
Turkey (2010?)
The Balkans (Croatia, Bosnia, Serbia, Macedonia, Albania)?
Belarus, Ukraine, Georgia?
North Africa?
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 28 / 30
Next Time
Location Effects, Regional and Industrial Policy.
Baldwin & Wyplosz, Chapter 13.
* Puga, D., ‘European regional policy in light of recent locationtheories’, Journal of Economic Geography 2(4), October 2002:372-406
Puga, D. ‘The rise and fall of regional inequalities’, European
Economic Review 43(2), February 1999: 303-334.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 29 / 30
References
Jason Barr and Francesco Passarelli. Who has the power in the eu?Mathematical Social Sciences, 57(1):339–366, 2009.
Michael Burda and Charles Wyplosz. Macroeconomics: A European Text.Oxford University Press, 2nd edition, 1997.
Friedrich Heinemann. The political economy of eu enlargement and thetreaty of nice. European Journal of Political Economy, 19(1):17–31,2002.
Wilhelm Kohler. Eastern enlargement of the EU: a comprehensive welfareassessment. Journal of Policy Modeling, 26(3):865–888, 2004.
Susan Senior-Nello. The European Union: Economics, Policies, and
History. McGraw-Hill, 2008.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 30 / 30
Economics of European IntegrationLecture 10
Location Effects, Regional and Industrial Policy
Stephen Kinsella
Dept. Economics,University of [email protected]
November 17, 2009
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 1 / 30
Today
1 EU’s Regional disparities wrt factors of production
2 Location Theory
3 New Economic Geography
4 Policy implementation & future challenges
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 2 / 30
Part I
Regional Disparities
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 3 / 30
The Problem
1/4 of EU citizens live Objective 1 regions;
and so are eligible to receive assistance from Structural Funds
Not good. The criterion for eligibility is GDP/per capita below 75%of EU average.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 4 / 30
Recall: Significant disparity in Regional unemployment
10 regions with highest unemployment rates had twice the EU averageunemployment rate.
Figure: caption
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 5 / 30
Europe’s Factors of Production
Natural Resources
Europe has many different types of natural resources.
The Northern European Plain has fertile soil called chernozem. Thisland is good for farming.
The Ruhr and Po Valleys have deposits of iron ore and coal.
Some parts of Europe have forests such as Norway and Sweden.
There are large deposits of oil on the floor of the North Sea.
Mountainous areas have mineral resources.
The countries of Europe have advanced farming techniques, high cropyields, and fertile soil called chernozem.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 6 / 30
Environmental Issues
Several areas in Europe are facing severe pollution problems:
Black Forest - Acid Rain
Venice - Water Pollution
Rhine, Danube, and Seine Rivers - Water Pollution
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 7 / 30
Europe’s Factors of Production
Highly skilled but diverse and relatively immobile labour sources overall.(Beware, this is a crass generalisation). See Blanchard (2005).World class capital infrastructure, but average level conceals hugedisparities. (Tipperary vs. Aalborg). See Ottaviano and Puga (1997)
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 8 / 30
Part II
Location Theory
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 9 / 30
Location Theory
Location of factors of production in space
Economic development and underdevelopment is one aspect of theuneven spatial distribution of economic activities.
Why do spatial inequalities (population or income) exist?
Why do economic units choose to locate close to each other?
What are the consequences of being outside existing centres?
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 10 / 30
Basic Concepts
Median Location. Hotelling:
1 Assume even distribution of consumers,
2 Sheltering effect
3 Applicable to other market spaces, including political
4 Equilibrium outcome is not socially optimal
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 11 / 30
Concept of Industry Orientation
Transfer-Oriented. Material-Oriented—Materials are bulky,expensiveto transport, or weight-losing
Market-Oriented. Output uses a ubiquitous input (e.g. water) or isexpensive to transport (fragile, limited shelf life)
Input-Oriented. Labour/Electricity/Amenities
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 12 / 30
So-Called Weber Definitions
Ubiquities. Resource available everywhere.
Localized Materials. Resource available in specific locations
Pure Material. Entire weight enters product
Gross Material. Weight-losing material]
Material Index = weight of localized inputs/weight of final product
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 13 / 30
Spatial Margins of Profitability
Weber emphasizes minimum transport cost.
Could be extended to minimum total cost
But there may also be spatial variation in revenue!
Profitability (TR-TC) also varies over space
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 14 / 30
Part III
Comparative advantage and the new economicgeography
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 15 / 30
Ricardo’s Big Idea
Comparative Advantage
Nations specialise in sectors in which they have a comparative advantage.French→wine, Irish→bitterness, etc.
Problem with CA
Didn’t explain location/specialisation decision within a country.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 16 / 30
One more Big Idea: Krugman (1991)
Why does manufacturing become concentrated in a few regions,leaving others relatively under-developed?
Three keys to convergence or divergence of regions
µ : share of nominal income spent on manufacturing
σ > 1 : elasticity of substitution among the products
τ < 1: an inverse index of transportation costs
Big paper in this area is Krugman (1991), which won PK the Nobel Prize.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 17 / 30
Example
Wage convergence between two regions depending on the share ofmanufacturing labor force in region 1 and internal transportation costs .
• One example of wage convergence between two regions depending on the share of manufacturing labor force in region 1 and internal transportation costs (Krugman, 1991):
Figure: Wage convergence.Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 18 / 30
Centripetal and Centrifugal Forces
Other Centripetal and Centrifugal Forces
Pecuniary and non-pecuniary externalities
Congestion
Knowledge spillovers
(Skilled) Labor pooling
Empirical evidence exists to back this up: The toughness of competition ina market significantly affects low-productivity plant exits, productivitydistribution (truncation from below) and (tighter) price bounds. Directlink to DELL case. See Hortacsu and Syverson (2007)
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 19 / 30
More Evidence
Figure: Specialisation by region/country
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 20 / 30
Krugman index of specialisationThis shows most EU nations becoming more specialised EU economies seem to bespecialising more in their comparative advantages
Figure: Krugman IndexStephen Kinsella (University of Limerick) EC4333 November 17, 2009 21 / 30
Agglomeration
When productive factors can cross borders (international orinter-regional) integration may have very different effects
Scale economies and trade costs generate forces that encouragegeographic clustering of economic activity.
“Overall clustering” = some areas with lots of economic activity,others empty ‘core-periphery’
“Sectoral clustering”s = each sector clusters in one region, but mostregions get a cluster
Agglomeration/Dispersion
Basic idea is that lowering trade costs affect both. Agglomeration forces.Tend to lead industry to cluster geographically Dispersion forces. Tent toencourage industry to disperse geographically
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 22 / 30
Agglomeration Forces
Many agglomeration forces
Technological spillovers (e.g. silicon valley)
Labour market pooling (e.g. City of London)
Demand linkages (a.k.a backward linkages)
Supply linkages (a.k.a foreward linkages)
NEG forces on demand and supply links since they are clearly affectedby economic integration (lower trade costs)
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 23 / 30
1 Many forces lead to a tendency of firms to avoid agglomerations ofeconomic activity
2 Rents and land prices
3 High cost of other non-traded services
4 Competition with other firms
5 The NEG focuses on the last one “local competition” since it isclearly related to trade costs
6 As trade costs fall, distance provides less protection from distantcompetitors
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 24 / 30
Handout
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 25 / 30
Part IV
3 policy objectives
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 26 / 30
Regional Policy
EU always had poor regions (Mezzogiorno, etc.)
much spending on poor EU regions, but very little by EU (pre 1986)
1973, Ireland (poor at the time joined);
1981, Greece joined but no major reorientation of EU spendingpriorities.
In 1986, Iberian enlargement shifted power in Council and spendingpriorities changed
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 27 / 30
Policy Objectives
1 Objective 1. (about 70% of structural spending).� spending on basic infrastructure and production subsidies in less
developed regions: regions with incomes less than 75% of the EUaverage.
� Nordic exceptions (low population density)� There are about 50 objective 1 regions; they have about 20% of the
EU population.2 Objective 2. (about 10% of structural spending).
� projects in regions whose economies are specialised in declining coalmining, fishing, steel production, etc.
� spending should support economic and social conversion� About 18
3 Objective 3 (about 10% of the funding).� measure to modernise national systems of training and employment
promotion.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 28 / 30
Next TimeAlong with a recap, of course!
International Trade, Tariffs, and Globalization. The EU is the largesttrading bloc in the world. What are the effects one might expect from aeconomic entity as large as the EU changing its trade-tariff policies?
Baldwin & Wyplosz, Chapter 15.
* Stiglitz, J.E., and Greenwald, B. Helping Infant Economies Grow:Foundations of Trade Policies for Developing Countries, AmericanEconomic Review, Papers and Proceedings, May 2006.
Shaikh, Anwar, Globalization and the Myth of Free Trade.(2003)Prepared for the Conference on Globalization and the Myths of FreeTrade, New School, NYC.
Stephen Kinsella (University of Limerick) EC4333 November 17, 2009 29 / 30
References
Olivier Blanchard. Macroeconomics. Prentice Hall, 4rth edition, 2005.
Ali Hortacsu and Chad Syverson. Cementing relationships: Verticalintegration, foreclosure, productivity, and prices. Journal of PoliticalEconomy, 115:250–301, 2007. URL http://ideas.repec.org/a/ucp/jpolec/v115y2007p250-301.html.
Paul Krugman. Increasing returns and economic geography. Journal ofPolitical Economy, 99(3):483, 1991. doi: 10.1086/261763. URLhttp://www.journals.uchicago.edu/doi/abs/10.1086/261763.
Gianmarco Ireo Paolo Ottaviano and Diego Puga. Agglomeration in theglobal economy: A survey of the ’new economic geography’. CEPRDiscussion Papers 1699, C.E.P.R. Discussion Papers, October 1997.URL http://ideas.repec.org/p/cpr/ceprdp/1699.html.
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