Wage and fiscal policy re-examined. An assessment of employment and productivity using Italian regional data
Abstract
Purpose
Traditional economic policy prescriptions proposed to address the Italian North-South divide mainly suggest that, in order to reduce unemployment and stimulate productivity, downwards wage flexibility should be guaranteed and the wage-setting model decentralised to sub-national labour markets. Contrarily, the Keynesian view suggests that higher wages and demand stimuli can engender positive effects on productivity and employment.
Design/methodology/approach
Applying panel structural VAR modelling to Italian regional data (1995–2019), we evaluate how wages and government expenditure impact productivity and employment dynamics.
Findings
We find that a rise in both government spending and real wages has long-lasting, positive effects on productivity and employment, even when considering centre-northern and southern regions separately.
Originality/value
To the best of our knowledge, this research provides new insights, particularly in the Italian context, by explicitly examining the effects of wage and fiscal policies on two significant macroeconomic variables—employment and productivity—using a novel and integrated approach. Additionally, our findings suggest that conventional policy recommendations warrant reconsideration.
Keywords
Acknowledgements
This paper was developed in the context of the Italian National Research Project, PRIN 2022 PNRR “Disentangling the environmental and Energy efficiency impact of public innovation investment for a green transition” (Project code: P2022SRW8N) financed by the European Union. The authors would like to thank two anonymous referees for their valuable comments, as well as the participants of the ASTRIL 2024, AISRI 2023, STOREP 2022; EAEPE 2022 conferences for their helpful feedback. The usual disclaimer applies.
Citation
Deleidi, M., Romaniello, D., Salvati, L. and Tosi, F. (2024), "Wage and fiscal policy re-examined. An assessment of employment and productivity using Italian regional data", International Journal of Manpower, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJM-12-2023-0747
Publisher
:Emerald Publishing Limited
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