2011
DOI: 10.1111/j.1468-2257.2011.00548.x
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Agglomeration Economies and Employment Growth: New Evidence from the Information Technology Sector in Italy

Abstract: This paper uses local labour market area (LLMA) data to investigate the dynamics of employment in the information technology (IT) sector in Italy between 2001 and 2005. The aim is to test if agglomeration forces might significantly affect local IT employment growth. The OLS results are broadly consistent with those of earlier studies. In particular, IT employment growth is enhanced by industrial diversity (Jacobs externalities) and by plant size (economies of scale). At the same time, LLMAs with higher IT conc… Show more

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Cited by 6 publications
(2 citation statements)
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“…First, it allows us to relax the modifiable areal unit problem (MAUP), which emerges when spatial phenomena are defined according to wrongly identified geographic units (Arbia ). In fact, LLMs are defined according to economic – rather than administrative (such as NUTS regions) – criteria since they represent local areas where people commute for working reasons (Lasagni ). Therefore, LLMs may represent an appropriate spatial unit to analyse the export performance at the local level.…”
Section: Data and Variables Definitionmentioning
confidence: 99%
“…First, it allows us to relax the modifiable areal unit problem (MAUP), which emerges when spatial phenomena are defined according to wrongly identified geographic units (Arbia ). In fact, LLMs are defined according to economic – rather than administrative (such as NUTS regions) – criteria since they represent local areas where people commute for working reasons (Lasagni ). Therefore, LLMs may represent an appropriate spatial unit to analyse the export performance at the local level.…”
Section: Data and Variables Definitionmentioning
confidence: 99%
“…According toLasagni (2011) the first kind of advantage is termed MAR (Marshall-Arrow-Romer) in literature. This term was popularised byGlaeser et al (1992) with reference to fundamental works:Marshall (1928),Arrow (1962) andRomer (1986).…”
mentioning
confidence: 99%