Who receives R&D tax incentives? Firm capabilities and stage-dependent access

This paper examines which firms are able to access and progress through Colombia's R&D tax-benefit scheme. Using firm-level microdata from three waves of the Colombian Manufacturing Innovation Survey, we estimate sequential logit models to assess how firm capabilities are associated with progression from intention to apply, to application, and ultimately to receipt. The results reveal a clear stage-dependent pattern. General innovation capabilities—including R&D effort, internal innovation resources, information-source breadth, export orientation, and university cooperation—are most strongly associated with firms' initial intention to apply. Conditional on intention, progression to application is more closely related to organizational scale and university cooperation. Conditional on application, receipt is less consistently associated with broad innovation effort, while the stage-specific analysis provides only suggestive evidence of associations with more specific organizational and relational characteristics. Additional analyses indicate that exposure to other forms of public innovation support is associated primarily with initial engagement rather than with progression at later stages. These findings suggest that formal eligibility does not translate automatically into effective access to R&D tax incentives. This implies that evaluations of tax incentives should account for the selective processes that precede receipt. For policymakers, the results indicate that broad-based fiscal incentives may need to be complemented by stage-specific information, administrative assistance, and capability-building measures if access is to extend beyond firms already equipped to navigate the scheme.

Authors

Institutions

Publication Details

Journal
Research Policy
Published
2026-09-30
DOI
https://doi.org/10.1016/j.respol.2026.105635
Primary Topic
Innovation Policy and R&D
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Who receives R&D tax incentives? Firm capabilities and stage-dependent access

Sergio Afcha, Ivet M. del-Sol-Alonso, Manuel Chu
Research Policy
Innovation Policy and R&D
article

Who receives R&D tax incentives? Firm capabilities and stage-dependent access

Sergio Afcha, Ivet M. del-Sol-Alonso, Manuel Chu
article en

Abstract

This paper examines which firms are able to access and progress through Colombia's R&D tax-benefit scheme. Using firm-level microdata from three waves of the Colombian Manufacturing Innovation Survey, we estimate sequential logit models to assess how firm capabilities are associated with progression from intention to apply, to application, and ultimately to receipt. The results reveal a clear stage-dependent pattern. General innovation capabilities—including R&D effort, internal innovation resources, information-source breadth, export orientation, and university cooperation—are most strongly associated with firms' initial intention to apply. Conditional on intention, progression to application is more closely related to organizational scale and university cooperation. Conditional on application, receipt is less consistently associated with broad innovation effort, while the stage-specific analysis provides only suggestive evidence of associations with more specific organizational and relational characteristics. Additional analyses indicate that exposure to other forms of public innovation support is associated primarily with initial engagement rather than with progression at later stages. These findings suggest that formal eligibility does not translate automatically into effective access to R&D tax incentives. This implies that evaluations of tax incentives should account for the selective processes that precede receipt. For policymakers, the results indicate that broad-based fiscal incentives may need to be complemented by stage-specific information, administrative assistance, and capability-building measures if access is to extend beyond firms already equipped to navigate the scheme.

Research PolicyVol. 55(10)
Universitat de València (ES), Pontificia Universidad Católica del Perú (PE)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Innovation Policy and R&D
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.