We analyse business performance by using a unique data set of the universe of Italian local business units. We investigate the pattern of both productivity and profitability by adopting a decomposition technique to document spatial variation across urban and non-urban areas. Aggregate evidence indicates that an urban–non-urban productivity divide exists, but this premium vanishes with respect to profitability. Plant-level estimations using a hierarchical linear model show that area attractiveness positively affects productivity, whereas diseconomies of agglomeration negatively affect profitability. Coping with agglomeration costs is a priority for regional policies to transfer the productivity gains in urban areas into new investment and growth opportunities.

Bartoloni, E., Baussola, M. L., Productivity and earnings at the firm-plant level: the case of Lombardy’s urban and non-urban agglomerations, <<SPATIAL ECONOMIC ANALYSIS>>, 2020; (1): 1-22. [doi:10.1080/17421772.2020.1854480] [http://hdl.handle.net/10807/168471]

Productivity and earnings at the firm-plant level: the case of Lombardy’s urban and non-urban agglomerations

Baussola, Maurizio Luigi
2020

Abstract

We analyse business performance by using a unique data set of the universe of Italian local business units. We investigate the pattern of both productivity and profitability by adopting a decomposition technique to document spatial variation across urban and non-urban areas. Aggregate evidence indicates that an urban–non-urban productivity divide exists, but this premium vanishes with respect to profitability. Plant-level estimations using a hierarchical linear model show that area attractiveness positively affects productivity, whereas diseconomies of agglomeration negatively affect profitability. Coping with agglomeration costs is a priority for regional policies to transfer the productivity gains in urban areas into new investment and growth opportunities.
2020
Inglese
Bartoloni, E., Baussola, M. L., Productivity and earnings at the firm-plant level: the case of Lombardy’s urban and non-urban agglomerations, <<SPATIAL ECONOMIC ANALYSIS>>, 2020; (1): 1-22. [doi:10.1080/17421772.2020.1854480] [http://hdl.handle.net/10807/168471]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/168471
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