European Economy Lecture 10 Location Effects, Regional and Industrial Policy Stephen Kinsella Dept. Economics, University of Limerick. [email protected] November 8, 2010 Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 1 / 31 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) EC4027 November 8, 2010 2 / 31 Part I Regional Disparities Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 3 / 31 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) EC4027 November 8, 2010 4 / 31 Why care about Space? Transport costs (can be integrated relatively easily) Agglomeration externalities (require a different approach) Policy Relevance Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 5 / 31 Recall: Significant disparity in Regional unemployment 10 regions with highest unemployment rates had twice the EU average unemployment rate. Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 6 / 31 Europe’s Factors of Production Natural Resources Europe has many different types of natural resources. The Northern European Plain has fertile soil called chernozem. This land 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 crop yields, and fertile soil called chernozem. Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 7 / 31 Legal Framework Article 2 of the EC Treaty to promote a harmonious, balanced and sustainable development of economic activities; convergence of economic performance economic and social cohesion and solidarity between member states. Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 8 / 31 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) EC4027 November 8, 2010 9 / 31 Europe’s Factors of Production Highly skilled but diverse and relatively immobile labour sources overall. (Beware, this is a crass generalisation). See ?. World class capital infrastructure, but average level conceals huge disparities. (Tipperary vs. Aalborg). See ? Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 10 / 31 Part II Location Theory Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 11 / 31 Location Theory Location of factors of production in space Economic development and underdevelopment is one aspect of the uneven 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) EC4027 November 8, 2010 12 / 31 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) EC4027 November 8, 2010 13 / 31 Concept of Industry Orientation Transfer-Oriented. Material-Oriented—Materials are bulky,expensive to transport, or weight-losing Market-Oriented. Output uses a ubiquitous input (e.g. water) or is expensive to transport (fragile, limited shelf life) Input-Oriented. Labour/Electricity/Amenities Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 14 / 31 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) EC4027 November 8, 2010 15 / 31 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) EC4027 November 8, 2010 16 / 31 Part III Comparative advantage and the new economic geography Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 17 / 31 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) EC4027 November 8, 2010 18 / 31 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 ?, which won PK the Nobel Prize. Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 19 / 31 Example One example of wage convergence between two regions depen between two regions depending the share of interna onWage the convergence share of manufacturing labor force inonregion 1 and manufacturing labor force in region 1 and internal transportation costs . transportation costs (Krugman, 1991): Stephen Kinsella (University of Limerick) Figure: Wage convergence. EC4027 November 8, 2010 20 / 31 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 in a market significantly affects low-productivity plant exits, productivity distribution (truncation from below) and (tighter) price bounds. Direct link to DELL case. See ? Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 21 / 31 More Evidence Figure: Specialisation by region/country Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 22 / 31 Krugman index of specialisation This shows most EU nations becoming more specialised EU economies seem to be specialising more in their comparative advantages Figure: Krugman Index Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 23 / 31 Agglomeration When productive factors can cross borders (international or inter-regional) integration may have very different effects Scale economies and trade costs generate forces that encourage geographic 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 most regions 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 to encourage industry to disperse geographically Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 24 / 31 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 affected by economic integration (lower trade costs) Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 25 / 31 1 Many forces lead to a tendency of firms to avoid agglomerations of economic 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 is clearly related to trade costs 6 As trade costs fall, distance provides less protection from distant competitors Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 26 / 31 Handout Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 27 / 31 Part IV 3 policy objectives Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 28 / 31 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 spending priorities. In 1986, Iberian enlargement shifted power in Council and spending priorities changed Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 29 / 31 Policy Objectives 1 Objective 1. (about 70% of structural spending). � � � 2 Objective 2. (about 10% of structural spending). � � � 3 spending on basic infrastructure and production subsidies in less developed regions: regions with incomes less than 75% of the EU average. Nordic exceptions (low population density) There are about 50 objective 1 regions; they have about 20% of the EU population. projects in regions whose economies are specialised in declining coal mining, fishing, steel production, etc. spending should support economic and social conversion About 18 Objective 3 (about 10% of the funding). � measure to modernise national systems of training and employment promotion. Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 30 / 31 Next Time Along with a recap, of course! International Trade, Tariffs, and Globalization. The EU is the largest trading bloc in the world. What are the effects one might expect from a economic 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, American Economic 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 Free Trade, New School, NYC. Stephen Kinsella (University of Limerick) EC4027 November 8, 2010 31 / 31
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