M
Mariacristina Piva
Researcher at Catholic University of the Sacred Heart
Publications - 110
Citations - 2829
Mariacristina Piva is an academic researcher from Catholic University of the Sacred Heart. The author has contributed to research in topics: Technological change & Productivity. The author has an hindex of 23, co-authored 108 publications receiving 2378 citations. Previous affiliations of Mariacristina Piva include The Catholic University of America.
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The skill bias effect of technological and organisational change: Evidence and policy implications
TL;DR: In this article, the authors estimate a SUR model for a sample of 400 Italian manufacturing firms, showing that upskilling is more a function of reorganisational strategy than a consequence of technological change alone.
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The internationalization of small and medium-sized enterprises: the effect of family management, human capital and foreign ownership
TL;DR: In this article, the authors show that involvement of the owning family in management negatively influences export propensity but, once the choice to go international has been made, both the degree of internationalization and geographical scope in family-managed firms are not significantly different from non-family-managed ones.
Posted Content
Innovation and Employment: Evidence from Italian Microdata
TL;DR: In this article, the authors apply GMM-SYS to an employment equation augmented for technology and using a unique longitudinal dataset of 575 Italian manufacturing firms over the period 1992-1997, find a significant - although small in size - positive relationship between innovation and employment.
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R&D and Employment: An Application of the LSDVC Estimator Using European Microdata
TL;DR: In this article, the job creation effect of business R&D is tested applying the dynamic LSDVC estimator to a longitudinal database covering 677 European companies over the period 1990-2008.
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Innovation and Employment: Evidence from Italian Microdata
TL;DR: In this article, the authors apply GMM-SYS to an employment equation augmented for technology and using a unique longitudinal dataset of 575 Italian manufacturing firms over the period 1992-1997, they find a significant positive relationship between innovation and employment.