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
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
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