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DESPO SIGNED

De-industrializing Societies and the Political Consequences

Total Cost €

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EC-Contrib. €

0

Partnership

0

Views

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Project "DESPO" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA COMMERCIALE LUIGI BOCCONI 

Organization address
address: VIA SARFATTI 25
city: MILANO
postcode: 20136
website: www.unibocconi.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 1˙106˙528 €
 EC max contribution 1˙106˙528 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-STG
 Funding Scheme ERC-STG
 Starting year 2020
 Duration (year-month-day) from 2020-02-01   to  2025-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA COMMERCIALE LUIGI BOCCONI IT (MILANO) coordinator 1˙106˙528.00

Map

 Project objective

For decades, deindustrialization has inflicted collateral damage far beyond displaced manufacturing workers by affecting the lives of working-class families and driving formerly industrialized areas into deprivation, generating new political fault lines in society. The aim of this project is to reveal how a person’s individual, family, and local community experiences of manufacturing decline transform the way they participate in politics and their political attitudes over the course of their life. DESPO will focus on the long-term consequences by studying a rich time frame which spans five decades of manufacturing decline and its political aftermath (1965-2015). It will examine an exhaustive series of political attitudes and behaviours covering: if and how people vote; what people believe and think about their political system; and how strongly people identify with political parties. The project will use large-scale administrative data to construct a unique database of multi-dimensional measures of deindustrialization for small geographic units that will be linked with individual and household longitudinal data. Finally, the analysis will use state-of-the-art statistical techniques to estimate the causal effects of experiencing manufacturing decline.

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The information about "DESPO" are provided by the European Opendata Portal: CORDIS opendata.

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