Digital Transformation, Financing Constraints, and Corporate Innovation Efficiency: Evidence from Chinese A-Share Listed Companies

Digital technologies are reshaping how firms allocate resources to innovation, yet whether digital transformation raises the efficiency with which innovation inputs are converted into outputs remains an open question. Using a panel of Chinese A-share listed companies over 2012–2023 and a two-way fixed effects specification, this study examines the effect of digital transformation on corporate innovation efficiency, measured by a data envelopment analysis (DEA) score built on R&D inputs and patent outputs. Complemented by heterogeneity analyses, a mediation examination and a battery of robustness tests, we uncover three main findings. First, digital transformation significantly improves corporate innovation efficiency, and the result survives alternative efficiency measures, lagged regressors, an instrumental-variable strategy, sub-period analysis and region-by-year fixed effects. Second, the effect is heterogeneous: it is substantially stronger for non-state-owned enterprises, for firms in high-technology industries and for small and medium-sized firms. Third, alleviating financing constraints is a significant mediating channel, accounting for roughly 18% of the total effect. These findings offer implications for firms evaluating the returns to digital investment and for policymakers designing differentiated support for digital transformation.

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Publication Details

Journal
Journal of Economics Finance and Management Studies
Published
2026-11-11
DOI
https://doi.org/10.47191/jefms/v9-i11-16
Primary Topic
Digital Economy and Transformation
Type
article
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Digital Transformation, Financing Constraints, and Corporate Innovation Efficiency: Evidence from Chinese A-Share Listed Companies

Dewi Purwati, Yeong Hong Yi
2 links
Journal of Economics Finance and Management Studies
Digital Economy and Transformation
article

Digital Transformation, Financing Constraints, and Corporate Innovation Efficiency: Evidence from Chinese A-Share Listed Companies

Dewi Purwati, Yeong Hong Yi
article en

Abstract

Digital technologies are reshaping how firms allocate resources to innovation, yet whether digital transformation raises the efficiency with which innovation inputs are converted into outputs remains an open question. Using a panel of Chinese A-share listed companies over 2012–2023 and a two-way fixed effects specification, this study examines the effect of digital transformation on corporate innovation efficiency, measured by a data envelopment analysis (DEA) score built on R&D inputs and patent outputs. Complemented by heterogeneity analyses, a mediation examination and a battery of robustness tests, we uncover three main findings. First, digital transformation significantly improves corporate innovation efficiency, and the result survives alternative efficiency measures, lagged regressors, an instrumental-variable strategy, sub-period analysis and region-by-year fixed effects. Second, the effect is heterogeneous: it is substantially stronger for non-state-owned enterprises, for firms in high-technology industries and for small and medium-sized firms. Third, alleviating financing constraints is a significant mediating channel, accounting for roughly 18% of the total effect. These findings offer implications for firms evaluating the returns to digital investment and for policymakers designing differentiated support for digital transformation.

Journal of Economics Finance and Management StudiesVol. 09(11)
Nanjing University of Information Science and Technology (CN)
Industry, innovation and infrastructure, Decent work and economic growth
Digital Economy and Transformation
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Digital Transformation, Financing Constraints, and Corporate Innovation Efficiency: Evidence from Chinese A-Share Listed Companies — Dewi Purwati, Yeong Hong Yi · Journal of Economics Finance and Management Studies (2026) | TGRS Research Map | TGRS