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Martini, B., Platania, M. Analyzing Resilience in Local Labor Market Areas: A Spatial Analysis for the Case of Italy. Applied Economics Quarterly, 65(3), 189-208. https://doi.org/10.3790/aeq.65.3.189
Martini, Barbara and Platania, Marco "Analyzing Resilience in Local Labor Market Areas: A Spatial Analysis for the Case of Italy" Applied Economics Quarterly 65.3, , 189-208. https://doi.org/10.3790/aeq.65.3.189
Martini, Barbara/Platania, Marco: Analyzing Resilience in Local Labor Market Areas: A Spatial Analysis for the Case of Italy, in: Applied Economics Quarterly, vol. 65, iss. 3, 189-208, [online] https://doi.org/10.3790/aeq.65.3.189
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Analyzing Resilience in Local Labor Market Areas: A Spatial Analysis for the Case of Italy

Martini, Barbara | Platania, Marco

Applied Economics Quarterly, Vol. 65 (2019), Iss. 3 : pp. 189–208

1 Citations (CrossRef)

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Article Details

Publisher Name
Duncker & Humblot
DOI
https://doi.org/10.3790/aeq.65.3.189
Language
English
Pages
20
Keywords

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Author Details

Martini, Barbara, University of Rome Tor Vergata. Department of Enterprise Engineering, via Columbia 2, 00133 Roma, Italy.

Platania, Marco, University of Catania and University of Winchester. University of Catania, Department of Educational Science, via della Biblioteca 4, 95124, Catania, Italy.

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    https://doi.org/10.1142/S1084946722500169 [Citations: 0]

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Abstract

Abstract

The aim of the paper is to analyse if and in which way specialization, geographical localization and spill-over effects affect resilience. The research is carried out using LLMAs (Local Labor Market Areas) as observational unit and spatial data analysis techniques (Anselin 1999, LeSage & Pace, 2009) in Italy. Resilience literature focalized its attention on regions. Despite this, there is no general agreement regarding the most appropriate observation unit. Our aim is not only to investigate the relationship between specialization and resilience at smaller scale using the LLMAs as observation unit but also to explore the spatial relationship among them. Results highlight a strong spatial correlation among LLMAs. As consequence resilience is not only influenced by specialization but also by geographical localization through spill-over effects.

JEL Classifications: R10, R12, C23, C33

Spatial analysis; Resilience; Labor Market Area; Italy

Table of Contents

Section Title Page Action Price
Barbara Martini / Marco Platania: Analyzing Resilience in Local Labor Market Areas: A Spatial Analysis for the Case of Italy 1
Abstract 1
1. Introduction 1
2. Resilience 2
3. The LLMAs in the Face of the Crisis: Some Descriptive Features 4
4. Methodology 6
4.1 Calculating Resilience 6
4.2 Spatial Probit Models 9
5. Results 9
6. Discussion and Conclusion 1
References 1
Appendix 2

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