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Education, routine, and complexity-biased Knowledge Enabling Technologies: Evidence from Emilia-Romagna, Italy

Roberto Antonietti (), Luca Cattani (), Francesca Gambarotto () and Giulio Pedrini ()
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Francesca Gambarotto: University of Padova
Giulio Pedrini: Kore University of Enna

No 2021-07, Discussion Paper series in Regional Science & Economic Geography from Gran Sasso Science Institute, Social Sciences

Abstract: We analyze the relationship between the use of Key Enabling Technologies (KETs) and the demand for occupations, tasks, and skills in the local labour market areas (LLMAs) of Emilia-Romagna, Italy. We merge three data sources, and we compute both the share of highly educated employees, or of employees accomplishing low- versus high-routine tasks, and three novel indicators measuring the complexity of occupations, tasks, and skills. Our panel estimates show that a larger share of KETs not only stimulates a higher demand for workers holding a tertiary education degree, or accomplishing less routinary tasks, but also a higher demand for a wider, and more exclusive, set of occupations, tasks, and skills. These results are also robust to unobserved heterogeneity and reverse causality.

Keywords: key enabling technology; complexity; occupation; tasks; skills (search for similar items in EconPapers)
JEL-codes: J24 O33 R10 (search for similar items in EconPapers)
Pages: 45 pages
Date: 2021-05, Revised 2021-05
New Economics Papers: this item is included in nep-eur, nep-isf, nep-tid and nep-ure
References: View references in EconPapers View complete reference list from CitEc
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