De-industrializing Societies and the Political Consequences
Sector: Commercial • Location: Italy
Source: EU Funding & Tenders Portal
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 trans
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ongoing |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
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. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
