Liquidity-Based Tax Incentives and Corporate Green Innovation: Evidence from China’s VAT Credit Refund Policy
Tax incentives are central to environmental policy, yet the innovation effects of liquidity-based fiscal instruments remain underexplored. This study asks whether China’s value-added tax (VAT) credit refund promotes corporate green innovation, and how firm governance and the policy environment condition that effect. Exploiting the 2018 industry-targeted pilot as a quasi-natural experiment, we estimate two-way fixed-effects difference-in-differences models on 25,259 firm-year observations for 4044 Chinese A-share listed firms over 2014–2021, measuring green innovation by invention-patent applications and defining treatment by industry eligibility. The refund raises green invention-patent applications by 17.0 percent, significant at the 1 percent level. A sequential decomposition is consistent with transmission through eased financing constraints and higher R&D investment. The effect is stronger where internal control quality is higher and pre-treatment financial slack is greater, and is absent where climate policy uncertainty (CPU) is high. Results survive removing control firms drawn in by the 2019 policy expansion, sector-by-year and province-by-year fixed effects, heterogeneity-robust estimators, and a triple difference on the innovation-quality margin. Fiscal liquidity complements governance quality and regulatory predictability rather than substituting for them.
Authors
- Binsheng Qian (ORCID: https://orcid.org/0009-0007-7553-7696)
- Ziyi Xia (ORCID: https://orcid.org/0000-0002-7421-6918)
- Yanyan Zhang (ORCID: https://orcid.org/0009-0000-0977-1627)
- Huili Hu (ORCID: https://orcid.org/0009-0005-8511-8183)
Institutions
- Zhejiang Sci-Tech University (CN)
- Yong-in Songdam College (KR)
- Coventry University (GB)
Publication Details
- Journal
- Sustainability
- Published
- 2026-08-17
- DOI
- https://doi.org/10.3390/su18168409
- Primary Topic
- Energy, Environment, Economic Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Zhejiang University of Science and Technology