Estimating agglomeration in the EU and the Western Balkan regions

By: Römisch, Roman.

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BookSeries: wiiw Balkan Observatory Working Papers: 117Publisher: Wien : Wiener Institut für Internationale Wirtschaftsvergleiche (wiiw), 2015Subject(s): Zipf’s Law | agglomeration economies | Europe | Western BalkansCountries covered: European Union | Western Balkanswiiw Research Areas: Macroeconomic Analysis and PolicyOnline resources: Click here to access online Summary: Abstract The paper develops a model to consistently estimate agglomeration and agglomeration economies in European NUTS3 regions. It is based on the empirical observation that the size of population across regions as well as of other economic variables tend to follow a Zipf distribution. Furthermore, the model is extended to capture agglomeration effects in traditional regional convergence estimations. Agglomeration is analysed for 25 European countries, including Macedonia and Serbia, and the years 2000 to 2012. Results indicate significant agglomeration effects on the level and growth of regional economic development, with agglomeration and agglomeration economies generally declining in the Western European countries and increasing the Central East and South East European countries.

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Previous	114 The Role of Banks in Economic Development in the Former SFR Yugoslavia	115 Firm growth and financing constraints in the NMS-10 and the Western Balkan countries – a comparative analysis	116 Tariff-induced (de)industrialization in transition economies: A comparative analysis	117 Estimating agglomeration in the EU and the Western Balkan regions	118 Regional Patterns of Deindustrialization and Prospects for Reindustrialization in South and Central East European Countries	119 A quantitative explanation of the low productivity in South-Eastern European economies: the role of misallocations	/12 What Remains of the Theory of Demand Management in a Globalising World?	Next

Abstract

The paper develops a model to consistently estimate agglomeration and agglomeration economies in European NUTS3 regions. It is based on the empirical observation that the size of population across regions as well as of other economic variables tend to follow a Zipf distribution. Furthermore, the model is extended to capture agglomeration effects in traditional regional convergence estimations. Agglomeration is analysed for 25 European countries, including Macedonia and Serbia, and the years 2000 to 2012. Results indicate significant agglomeration effects on the level and growth of regional economic development, with agglomeration and agglomeration economies generally declining in the Western European countries and increasing the Central East and South East European countries.

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