Digital transformation and productivity growth in European light manufacturing industries: evidence from panel data (2015–2022)

This study investigates the relationship between digital transformation and labor productivity in European light manufacturing industries from 2015 to 2022. Using an unbalanced panel dataset of 21 EU countries and eight subsectors, it employs pooled OLS, fixed effects, two-way fixed effects (TWFE), and instrumental variable techniques. Digitalization is measured through a composite index based on connectivity, digital skills, and integration. Results reveal a consistent positive association, with the preferred TWFE model indicating that a one-unit increase in digitalization raises labor productivity by approximately 0.43%. The effects are stronger in more digitally advanced countries, while evidence suggests diminishing marginal returns at higher levels of adoption. Decomposition shows that connectivity and digital integration contribute more than digital skills. Findings remain robust across multiple checks, though IV results are interpreted cautiously. Overall, digital transformation enhances productivity, contingent on complementary factors such as human capital and digital readiness.

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Publication Details

Journal
Economics of Innovation and New Technology
Published
2026-07-17
DOI
https://doi.org/10.1080/10438599.2026.2704968
Primary Topic
Firm Innovation and Growth
Type
article
Field-Weighted Citation Impact
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article

Digital transformation and productivity growth in European light manufacturing industries: evidence from panel data (2015–2022)

Zeeshan Rasool, Dan Cheng
Economics of Innovation and New Technology
Firm Innovation and Growth
article

Digital transformation and productivity growth in European light manufacturing industries: evidence from panel data (2015–2022)

Zeeshan Rasool, Dan Cheng
article en

Abstract

This study investigates the relationship between digital transformation and labor productivity in European light manufacturing industries from 2015 to 2022. Using an unbalanced panel dataset of 21 EU countries and eight subsectors, it employs pooled OLS, fixed effects, two-way fixed effects (TWFE), and instrumental variable techniques. Digitalization is measured through a composite index based on connectivity, digital skills, and integration. Results reveal a consistent positive association, with the preferred TWFE model indicating that a one-unit increase in digitalization raises labor productivity by approximately 0.43%. The effects are stronger in more digitally advanced countries, while evidence suggests diminishing marginal returns at higher levels of adoption. Decomposition shows that connectivity and digital integration contribute more than digital skills. Findings remain robust across multiple checks, though IV results are interpreted cautiously. Overall, digital transformation enhances productivity, contingent on complementary factors such as human capital and digital readiness.

Economics of Innovation and New Technology
Xi'an Technological University (CN), Muhammad Nawaz Sharif University of Engineering & Technology (PK), Northwest Normal University (CN)
Decent work and economic growth
Openalex Percentile: Top 4%
Firm Innovation and Growth
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Digital transformation and productivity growth in European light manufacturing industries: evidence from panel data (2015–2022) — Zeeshan Rasool, Dan Cheng · Economics of Innovation and New Technology (2026) | TGRS Research Map | TGRS