TY - JOUR
T1 - Examining the Impact of R&D Tax Credits on Employment Growth Across Economic Sectors
AU - Paredes, Alexandre
AU - Vasconcelos, Carolina
AU - Damásio, Bruno
N1 - https://doi.org/10.54499/UID/04152/2025#
https://doi.org/10.54499/UID/PRR/04152/2025#
Paredes, A., Vasconcelos, C., & Damásio, B. (2025). Examining the Impact of R&D Tax Credits on Employment Growth Across Economic Sectors. Emerging Science Journal, 9(2), 677-699. https://doi.org/10.28991/ESJ-2025-09-02-010 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS) (https://doi.org/10.54499/UIDB/04152/2020).
PY - 2025/4
Y1 - 2025/4
N2 - The present study probes the impact of Research and Development (R&D) tax credits on employment growth in Portugal from 2014 to 2022, particularly on the total employees, R&D staff, and PhD (Doctor of Philosophy) holders across economic activity sectors. Objectives: We aim to assess whether R&D tax credits lead to employment growth, particularly in industries reliant on highly skilled R&D personnel. Methods/Analysis: Using firm-level data from Portugal’s R&D survey, we apply a difference-in-differences (DiD) approach with an event study and staggered design for temporal analysis. This methodology, enhanced by a staggered design, allows us to isolate the effects across periods, comparing treated firms with controls within sectors classified by the NACE Rev. 2 system. Findings: Results reveal that R&D tax credits significantly enhance employment for R&D staff, with the information and communication sector having an 18.4% increase and the manufacturing sector rising 12.3%. Novelty/Improvement: Using firm-level data and a staggered DiD design, this study offers granular insights into sectoral variations, underscoring the importance of sector-specific policies. Findings provide valuable guidance for policymakers optimizing and enhancing the R&D tax credits framework to support employment at different levels of expertise and across different economic activity spheres.
AB - The present study probes the impact of Research and Development (R&D) tax credits on employment growth in Portugal from 2014 to 2022, particularly on the total employees, R&D staff, and PhD (Doctor of Philosophy) holders across economic activity sectors. Objectives: We aim to assess whether R&D tax credits lead to employment growth, particularly in industries reliant on highly skilled R&D personnel. Methods/Analysis: Using firm-level data from Portugal’s R&D survey, we apply a difference-in-differences (DiD) approach with an event study and staggered design for temporal analysis. This methodology, enhanced by a staggered design, allows us to isolate the effects across periods, comparing treated firms with controls within sectors classified by the NACE Rev. 2 system. Findings: Results reveal that R&D tax credits significantly enhance employment for R&D staff, with the information and communication sector having an 18.4% increase and the manufacturing sector rising 12.3%. Novelty/Improvement: Using firm-level data and a staggered DiD design, this study offers granular insights into sectoral variations, underscoring the importance of sector-specific policies. Findings provide valuable guidance for policymakers optimizing and enhancing the R&D tax credits framework to support employment at different levels of expertise and across different economic activity spheres.
KW - Difference-in-Differences
KW - Employment
KW - Firms
KW - Policy
KW - R&D Tax Credits
UR - https://www.scopus.com/pages/publications/105006797741
U2 - 10.28991/ESJ-2025-09-02-010
DO - 10.28991/ESJ-2025-09-02-010
M3 - Article
AN - SCOPUS:105006797741
SN - 2610-9182
VL - 9
SP - 677
EP - 699
JO - Emerging Science Journal
JF - Emerging Science Journal
IS - 2
ER -