Skip to main navigation Skip to search Skip to main content

Examining the Impact of R&D Tax Credits on Employment Growth Across Economic Sectors

Research output: Contribution to journal › Article › peer-review

180 Downloads (Pure)

Abstract

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.

Original languageEnglish
Pages (from-to)677-699
Number of pages23
JournalEmerging Science Journal
Volume9
Issue number2
DOIs
Publication statusPublished - Apr 2025

Keywords

  • Difference-in-Differences
  • Employment
  • Firms
  • Policy
  • R&D Tax Credits

Fingerprint

Dive into the research topics of 'Examining the Impact of R&D Tax Credits on Employment Growth Across Economic Sectors'. Together they form a unique fingerprint.

Cite this