This work correlates the impact of robotization on employment and households’ income at the regional scale with the level of investment in R&D and education poli- cies. This kind of policy, by raising the qualitative and quantitative levels of human capital, contributes to improving the complementarity effect between humans and robots, thus mitigating the substitution effect. To this end, we compute the Adjusted Penetration of Robots (APR) (a metric used to measure the extent to which robots are being used in a particular industry or sector) at the sectoral level, combining the Inter- national Federation of Robotics database for the stock of robots, EUROSTAT Regional database, and the STructural ANalysis database on 150 NUTS-2 regions of the Euro area. We then perform a spatial stacked-panel analysis on the investment in R&D and education level. Results supports the idea that regions that invest more in R&D and have higher levels of human capital can turn the risk of robotization into an increase in both income and "quantity of work," by enhancing complementarity between robots and the labor force. On the contrary, regions investing less in R&D and having lower levels of human capital may suffer a reduction in households’ disposable income.

Robotization, employment, and income: regional asymmetries and long-run policies in the Euro area

Fabiano Compagnucci;
2023-01-01

Abstract

This work correlates the impact of robotization on employment and households’ income at the regional scale with the level of investment in R&D and education poli- cies. This kind of policy, by raising the qualitative and quantitative levels of human capital, contributes to improving the complementarity effect between humans and robots, thus mitigating the substitution effect. To this end, we compute the Adjusted Penetration of Robots (APR) (a metric used to measure the extent to which robots are being used in a particular industry or sector) at the sectoral level, combining the Inter- national Federation of Robotics database for the stock of robots, EUROSTAT Regional database, and the STructural ANalysis database on 150 NUTS-2 regions of the Euro area. We then perform a spatial stacked-panel analysis on the investment in R&D and education level. Results supports the idea that regions that invest more in R&D and have higher levels of human capital can turn the risk of robotization into an increase in both income and "quantity of work," by enhancing complementarity between robots and the labor force. On the contrary, regions investing less in R&D and having lower levels of human capital may suffer a reduction in households’ disposable income.
2023
Robotization · Employment · Households’ income · R&D policies · Adjusted Penetration of Robots (APR) · Education policies · Regional inequalities
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12571/27764
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