期刊
ENERGY
卷 258, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2022.124793
关键词
GML method; Green firm; R& D efficiency; Subsidy policy; Tax rebate policy; Transmission effect
资金
- Shanghai Soft Science Foundation Science- Technology Innovation Action [22692109600, 21692108000]
- Shanghai Planning office of Philosophy and Social Science [2020BJB011]
This study fills the knowledge gaps by exploring the distinct symbolic influences of subsidy and tax rebate policies on green firm research and development efficiency, using the global Malmquist-Luenberger index method. The empirical results demonstrate that subsidies and tax rebates received from local and central governments have significant U-shaped impacts on green firm R&D efficiency, and they have significant and positive interactions with green firm R&D efficiency under the U-shaped effects of subsidies and tax rebates. Furthermore, subsidies and tax rebates play different roles in influencing green firm R&D efficiency by stimulating R&D investment, boosting technical efficiency change, and facilitating technical progress change.
This study attempts to fill important knowledge gaps to explore the distinct symbolic influences of subsidy and tax rebate policies on green firm research and development (R&D) efficiency using the global Malmquist-Luenberger (GML) index method, while focusing on green industries in China. Our empirical results demonstrate that the subsidies and tax rebates received from local and central gov-ernments have significant U-shaped impacts on green firm R&D efficiency at the 10% significance level, and subsidies and tax rebates have significant and positive interactions with green firm R&D efficiency under the U-shaped effects of subsidies and tax rebates at the 1% significance level. Furthermore, sub-sidies and tax rebates play distinct transmission roles in influencing green firm R&D efficiency by stimulating R&D investment, boosting technical efficiency change, and facilitating technical progress change.(c) 2022 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据