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| Titolo del progetto di ricerca in italiano | Data Construction and Econometric Analysis of Global Supply Chains: Buyer-Supplier Relationships and Knowledge Diffusion in International Trade Networks |
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| Titolo del progetto di ricerca in inglese | Data Construction and Econometric Analysis of Global Supply Chains: Buyer-Supplier Relationships and Knowledge Diffusion in International Trade Networks |
| Campo principale della ricerca | Economics |
| Sottocampo della ricerca | International economics |
| Settore Concorsuale | 13 - Scienze economiche e statistiche |
| S.S.D | - |
| Descrizione sintetica in italiano | The research looks at international trade networks to explore buyer supplier relationships and network structure using information on trade flows, and the location of firms and ports. This includes shocks propagation and supply chain disruptions, as well as intellectual property rights protection, knowledge diffusion and internalization activities within global value chains. The information may be merged with firm-level data, climate, innovation, or geo-localized conflict data to expand the study in various directions. The tasks required for this position involve the understanding and working with a new comprehensive supply chain dataset (S&P PANJIVA). The data must first be prepared for work, after which it must be put together and merged with other data to produce creative descriptive statistics and explore the data. Finally, mainly via Stata and R or potentially also Matlab, estimations must be conducted to test different conjectures in collaboration with the research group. |
| Descrizione sintetica in inglese | The research looks at international trade networks to explore buyer supplier relationships and network structure using information on trade flows, and the location of firms and ports. This includes shocks propagation and supply chain disruptions, as well as intellectual property rights protection, knowledge diffusion and internalization activities within global value chains. The information may be merged with firm-level data, climate, innovation, or geo-localized conflict data to expand the study in various directions. The tasks required for this position involve the understanding and working with a new comprehensive supply chain dataset (S&P PANJIVA). The data must first be prepared for work, after which it must be put together and merged with other data to produce creative descriptive statistics and explore the data. Finally, mainly via Stata and R or potentially also Matlab, estimations must be conducted to test different conjectures in collaboration with the research group. |
| Data del bando | 19/01/2023 |
| Paesi in cui può essere condotta la ricerca |
Italy |
| Paesi di residenza dei candidati |
All |
| Nazionalità dei candidati |
All |
| Sito web del bando | https://bandi.unibo.it/ricerca/assegni-ricerca |
| Destinatari dell'assegno di ricerca (of target group) |
Early stage researcher or 0-4 yrs (Post graduate) |
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| Criteri di selezione in italiano (breve descrizione) | il bando e la modulistica per partecipare alla procedura di valutazione comparativa sono disponibili all'indirizzo: https://bandi.unibo.it/ricerca/assegni-ricerca |
| Criteri di selezione in inglese (breve descrizione) | to apply for research grants fill out the form available at the following address: https://bandi.unibo.it/ricerca/assegni-ricerca |
| Nome dell'Ente finanziatore | ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE ECONOMICHE |
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| Tipologia dell'Ente | Public research |
| Paese dell'Ente | Italy |
| Città | Bologna |
| Sito web | http://www.unibo.it |
| annamaria.iembo2@unibo.it |
| L'assegno finanziato/cofinanziato attraverso un EU Research Framework Programme? | No |
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| Data di scadenza del bando | 02/02/2023 - alle ore 00:00 |
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| Come candidarsi | Other |