Summary
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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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/853033 |
Start date: | 01-02-2020 |
End date: | 31-07-2025 |
Total budget - Public funding: | 1 106 528,00 Euro - 1 106 528,00 Euro |
Cordis data
Original description
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.Status
SIGNEDCall topic
ERC-2019-STGUpdate Date
27-04-2024
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