How does environmental tax reform drive corporate innovation to green technologies? Quasi-natural experimental evidence from China

Hui Hu et al.

Journal of Business Economics and Management2025https://doi.org/10.3846/jbem.2025.24354article
AJG 2ABDC B
Weight
0.62

Abstract

How to motivate enterprises to formulate green technology (GT) innovation is crucial for promoting green development and minimizing pollution control costs. This research employs a quasi-experimental approach to analyze the impact of environmental tax reform (ETR) on corporate innovation decisions. First, we construct a two-sector model within a single enterprise, where the enterprise produces goods using GT and non-green technology (NGT) respectively. ETR influences a company’s innovation choices by the relative market value, R&D intensity, and productivity of products manufactured using GT and NGT under profit maximization. Second, we test our model using 20122023 manufacturing firms’ data, and the empirical results confirm our theoretical predictions. Third, we perform robustness tests to exclude the impact of subsidies, command and control environmental supervision and the COVID-19 epidemic. Fourth, we conduct heterogeneity analysis in polluting level and market competition. Finally, this study uses two instrumental variables (IVs) to validate our main regression results: the interaction between regional water area and industrial chemical oxygen demand, and the proportion of days affected by temperature inversion. This study contributes to the literature related to innovation choices under environmental policy and has implications for directing firms’ innovation to GT.

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https://doi.org/https://doi.org/10.3846/jbem.2025.24354

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@article{hui2025,
  title        = {{How does environmental tax reform drive corporate innovation to green technologies? Quasi-natural experimental evidence from China}},
  author       = {Hui Hu et al.},
  journal      = {Journal of Business Economics and Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.3846/jbem.2025.24354},
}

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Evidence weight

0.62

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.66 × 0.4 = 0.26
M · momentum0.90 × 0.15 = 0.14
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.