Impact of environmental information disclosure on green technology innovation:Evidence from China's Listed Companies
被引:1
|
作者:
Wang, Nan
论文数: 0引用数: 0
h-index: 0
机构:
Hong Kong Baptist Univ, Sch Business, Hong Kong, Peoples R ChinaHong Kong Baptist Univ, Sch Business, Hong Kong, Peoples R China
Wang, Nan
[1
]
Yang, Gang
论文数: 0引用数: 0
h-index: 0
机构:
China Minsheng Banking Res Inst, Financial Market Res Ctr, Beijing, Peoples R ChinaHong Kong Baptist Univ, Sch Business, Hong Kong, Peoples R China
Yang, Gang
[2
]
Wu, Jin
论文数: 0引用数: 0
h-index: 0
机构:
Univ Int Business & Econ, China Sch Banking & Finance, Beijing, Peoples R ChinaHong Kong Baptist Univ, Sch Business, Hong Kong, Peoples R China
Wu, Jin
[3
]
Wenya, Lv
论文数: 0引用数: 0
h-index: 0
机构:
Wenzhou Business Coll, Sch Finance & Trade, Wenzhou, Peoples R ChinaHong Kong Baptist Univ, Sch Business, Hong Kong, Peoples R China
Wenya, Lv
[4
]
机构:
[1] Hong Kong Baptist Univ, Sch Business, Hong Kong, Peoples R China
[2] China Minsheng Banking Res Inst, Financial Market Res Ctr, Beijing, Peoples R China
[3] Univ Int Business & Econ, China Sch Banking & Finance, Beijing, Peoples R China
[4] Wenzhou Business Coll, Sch Finance & Trade, Wenzhou, Peoples R China
Environmental information disclosure;
Green technology innovation;
Financing constraints;
Business performance;
CONSTRAINTS;
HYPOTHESIS;
D O I:
10.1016/j.frl.2024.106375
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
This study investigates the effect of environmental information disclosure on corporate green technology innovation. Based on environmental information disclosure data and green technology innovation, we find that the environmental quantity and quality of disclosure have a significant positive impact on corporate green technology innovation, but the effect is mainly effective in non-state-owned enterprises. Further analysis shows that the enhanced green technology innovation could be attributed to alleviating financing constraints and improving business performance. The results of this study provide evidence that further deepening the environmental information disclosure system will contribute to the green transformation and development of enterprises.
机构:
Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R ChinaUniv Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Ma, Diandian
Lv, Benfu
论文数: 0引用数: 0
h-index: 0
机构:
Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R ChinaUniv Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Lv, Benfu
Liu, Ying
论文数: 0引用数: 0
h-index: 0
机构:
Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R ChinaUniv Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Liu, Ying
Liu, Shuqin
论文数: 0引用数: 0
h-index: 0
机构:
Minzu Univ China, Sch Management, Beijing 100081, Peoples R ChinaUniv Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Liu, Shuqin
Li, Xiuting
论文数: 0引用数: 0
h-index: 0
机构:
Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100190, Peoples R ChinaUniv Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
机构:
Hunan Univ Sci & Technol, Big Data & Intelligent Decis Res Ctr, Xiangtan 411201, Peoples R ChinaHunan Univ Sci & Technol, Big Data & Intelligent Decis Res Ctr, Xiangtan 411201, Peoples R China
Deng, Mingjun
Fang, Xusheng
论文数: 0引用数: 0
h-index: 0
机构:
Hunan Univ Sci & Technol, Sch Business, Xiangtan 411201, Peoples R ChinaHunan Univ Sci & Technol, Big Data & Intelligent Decis Res Ctr, Xiangtan 411201, Peoples R China
Fang, Xusheng
Tian, Ziyan
论文数: 0引用数: 0
h-index: 0
机构:
Hunan Univ Sci & Technol, Sch Business, Xiangtan 411201, Peoples R ChinaHunan Univ Sci & Technol, Big Data & Intelligent Decis Res Ctr, Xiangtan 411201, Peoples R China
Tian, Ziyan
Luo, Wenbing
论文数: 0引用数: 0
h-index: 0
机构:
Hunan Univ Sci & Technol, Sch Business, Xiangtan 411201, Peoples R China
Hunan Univ Technol & Business, Sch Accounting, Changsha 410205, Peoples R ChinaHunan Univ Sci & Technol, Big Data & Intelligent Decis Res Ctr, Xiangtan 411201, Peoples R China