Do Workers Benefit from Industrial Agglomeration?*

Blasio, Guido de; Addario, Sabrina Di

doi:10.1111/j.0022-4146.2005.00393.x

Cited by 182 publications

(46 citation statements)

References 39 publications

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“…It is about one to two percentage points lower than in these other countries. Relative to existing agglomeration findings on Italian data (de Blasio and Di Addario, 2005, Di Addario andPatacchini, 2008, Mion and Naticchioni, 2009), we find slightly higher coefficients, by about one percentage point. 10 Overall we take these magnitudes as very close given differences in the data being used and differences in the estimation.…”

Section: Our Main Estimating Equation Iscontrasting

confidence: 91%

Marshallian labour market pooling: Evidence from Italy

Andini

Blasio

Duranton

et al. 2013

Regional Science and Urban Economics

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This paper employs a unique Italian data source to take a comprehensive approach to labour market pooling. It jointly considers many different aspects of the agglomeration -labour market relationship, including turnover, learning, matching, and hold up. It also considers labour market pooling from the perspective of both workers and firms and across a range of industries. Overall, the paper finds some support for theories of labour market pooling, but the support is weak. Specifically, there is a general positive relationship of turnover to local population density, which is consistent with theories of agglomeration and uncertainty. There is also evidence of on-the-job learning that is consistent with theories of labour pooling, labour poaching, and hold up. In addition, the paper provides evidence consistent with agglomeration improving job matches. However, the labour market pooling gains that we measure are small in magnitude and seem unlikely to account for a substantial share of the agglomeration benefits accruing to Italian workers and firms. Abstract: This paper employs a unique Italian data source to take a comprehensive approach to labor market pooling. It jointly considers many different aspects of the agglomeration -labor market relationship, including turnover, learning, matching, and hold up. It also considers labor market pooling from the perspective of both workers and firms and across a range of industries. Overall, the paper finds some support for theories of labor market pooling, but the support is weak. Specifically, there is a general positive relationship of turnover to local population density, which is consistent with theories of agglomeration and uncertainty. There is also evidence of on-the-job learning that is consistent with theories of labor pooling, labor poaching, and hold up. In addition, the paper provides evidence consistent with agglomeration improving job matches. However, the labor market pooling gains that we measure are small in magnitude and seem unlikely to account for a substantial share of the agglomeration benefits accruing to Italian worker and firms.Key words: local labor markets, matching, turnover, learning, hold-up, agglomeration jel classification: r23, j60 * We are deeply indebted to the researchers in the Statistics Department of the Bank of Italy who helped us to phrase the questions included in the shiw and sisf special sections on local labor markets. Our sincere thanks as well go to

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Section: Our Main Estimating Equation Iscontrasting

confidence: 91%

Marshallian labour market pooling: Evidence from Italy

Andini

Blasio

Duranton

et al. 2013

Regional Science and Urban Economics

Self Cite

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“…For all entrepreneurs, and evaluating percent chances at the pre-treatment sample mean, 19 we estimate that the probability of being an entrepreneur after the recession is between 4.85 (0.011/0.227) and 5.73…”

Section: Resultsmentioning

confidence: 99%

Local agglomeration, entrepreneurship and the 2008 recession: Evidence from Italian industrial districts

Brunello

Langella

2016

Regional Science and Urban Economics

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We investigate whether the impact of recessions on entrepreneurship is affected by the presence of industrial districts, a source of local agglomeration economies. Using Italian Labour Force quarterly data from 2006 to 2011 and a "difference-in-differences" approach, we show that the share of entrepreneurs in local labour markets where industrial districts are present has declined more than in comparable areas after the beginning of the 2008 recession. The estimated negative differential effect ranges between 4.8 and 7.9 percent in absolute value. We examine alternative explanations -including differences in industrial specialisation and composition, access to credit propensity, exports, population density and the composition of talents -and conclude that our result is consistent with the intense social interactions typical of industrial districts, acting as a multiplier that amplifies the response to shocks.

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“…Economy or Management) frequently define the same factor in different ways (Aziz and Norhashim, 2008). Coutinho and Ferraz (1994) stated that cluster competitiveness is a complex construct formed by groups of factors that conditions their performance. Among these groups, there are those compounds by factors internal to the firms (strategic management, innovation capacity, productivity capacity and human resources), those related to the structural nature (industry structure) and those of systemic nature (macroeconomics, financial, political and institutional factors).…”

Section: Introductionmentioning

confidence: 99%

“…Several articles present a variety of concepts and elements that can be considered as cluster competitiveness factors: vertical and horizontal mobility (Blasio and Di Addario, 2005); cluster strengths (regional employment) (Baptista and Swann, 1998); innovation (Baptista and Swann, 1998;Zelbst et al, 2010); pipeline (Bathelt et al, 2004); benchmarking events (Morosini, 2004); knowledge creation (Tallman et al, 2004); etc. Problems emerge when heterogeneous set of concepts emerge from the field.…”

Section: Introductionmentioning

confidence: 99%

Um instrumento de pesquisa qualitativo para analisar fatores de competitividade de conglomerados organizacionais

Hoppen¹,

Rigoni²,

Klein³

et al. 2016

BASE

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Este é um artigo de acesso aberto, licenciado por Creative Commons Atribuição 4.0 International (CC-BY 4.0), sendo permitidas reprodução, adaptação e distribuição desde que o autor e a fonte originais sejam creditados. A QUALITATIVE RESEARCH INSTRUMENT ABSTRACTClusters are geographic concentrations of interconnected companies, suppliers, service providers, and institutions working together at economically linked activities in a particular sector. Clusters play an important role to improve development through associative organizational forms. Many factors contribute to clusters' competitiveness (e.g. trust and collaboration among firms, and cluster governance). However, the literature about these factors is broad and their definitions vary according to different disciplines. Moreover, these factors were object of study in industrial settings. Therefore, the purpose of this article is to present a qualitative research instrument to analyze clusters' competitiveness factors. The final instrument created is a continuity of the work published by Rigoni and Saccol (2012) and it was empirically tested it in a cluster of flower growers. Most of the competitiveness factors of our instrument stemmed from the literature, while others emerged from the field, contributing to foster the development of theory on clusters' competitiveness. This instrument has several applications, such as to qualitatively analyze the level of competitiveness of clusters, helping their members adopt a cluster approach, and assisting police makers to design more effective cluster development policies.Keywords: clusters, competitiveness factors, qualitative research instrument. RESUMOClusters são concentrações geográficas de empresas, de fornecedores de insumos e serviços e de instituições, todos trabalhando conectados e em conjunto em atividades de um setor específico. Os clusters têm um importante papel para incrementar o desenvolvimento econômico por meio de formas organizacionais associativas. Muitos fatores contribuem para a competitividade dos clusters (por exemplo, a confiança e a colaboração entre firmas e a governança). Contudo, a literatura sobre esse tema é vasta e a e sua definição varia de acordo com as diferentes disciplinas. Neste contexto, o propósito deste artigo é apresentar um instrumento de pesquisa qualitativo para analisar os fatores competitivos de clusters. O instrumento final criado é uma continuidade do trabalho publicado por Rigoni e Saccol NORBERTO HOPPEN 1Universidade do Vale do Rio dos Sinos

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Do Workers Benefit from Industrial Agglomeration?*

Cited by 182 publications

References 39 publications

Marshallian labour market pooling: Evidence from Italy

Marshallian labour market pooling: Evidence from Italy

Local agglomeration, entrepreneurship and the 2008 recession: Evidence from Italian industrial districts

Um instrumento de pesquisa qualitativo para analisar fatores de competitividade de conglomerados organizacionais

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