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Průmyslová politika založená na faktech

Poskytovatel Univerzita Karlova
Program Primus
Kód projektu PRIMUS/25/SSH/008
Účastníci Fakulta sociálních věd Univerzity Karlovy

Policy-makers are increasingly relying on “structural” or “industrial” policies to revive productivity growth and reach their strategic objectives. Subsidies and public procurement play a central role in this context, but there are still important gaps in our understanding of their effects on the economy. First, there is little research to guide targeting of public funding towards particular industries or firms. Second, we lack a broadly accepted theory of how firms select into applying for public funding and thus remain in the dark regarding the possible reallocation effects on aggregate productivity. Third, there is a lack of evidence regarding the ability of structural policies to not just stimulate the quantity of investment but steer its composition (e.g. towards green technologies). Fourth, we still have a limited understanding of how spillovers are transmitted in the economy and which firms or activities generate most spillovers. In this project, we aim to help address these questions with the help of unique datasets on business subsidies, public procurement and supplier-buyer links, novel strategies for causal estimation and machine-learning techniques for text analysis.

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Hlavní řešitel
Matěj Bajgar, D.Phil.
matej.bajgar@fsv.cuni.cz

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