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Emerging Markets Finance and Trade Volume 58, 2022 - Issue 9
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Research Article

The Carbon Emissions Trading Scheme and Corporate Environmental Investments: A Quasi-natural Experiment from China

Lirong Chena Business School, Southwest University of Political Science and Law, Chongqing, China
,
Siyi Liub Business School, University of International Business and Economics, Beijing, China
,
Xin Liub Business School, University of International Business and Economics, Beijing, China
&
Jiani Wangc School of Accounting, Yunnan University of Finance and Economics, Kunming, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1888-6837
ORCID Icon
Pages 2670-2681 | Published online: 16 Dec 2021

Citations (6)

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Read on this site (2)

Chun Tang, Xiaoxing Liu & Guangyi Yang. (2023) How Does Carbon Market Affect Corporate Risk-Taking? — Evidence from China. Emerging Markets Finance and Trade 59:4, pages 1115-1128.
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Liqi Yi, Tao Li, Xinyu Zhang, Qiyu Huang, Yuze Ma & Peng Wang. (2023) CEO Power and Corporate Green Governance from the Perspective of Input-output Efficiency. Emerging Markets Finance and Trade 59:3, pages 836-847.
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Articles from other publishers (4)

Xihui Chen, Juan Ou, Xuemei Tang & Qinghe Yang. (2023) The Impact of Officials’ Off-Office Accountability Audit of Natural Resource Assets on Firms’ Green Innovation Strategies: A Quasi-Natural Experiment in China. Sustainability 15:3, pages 2640.
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Xiaoqi Li, Dingfei Guo & Chao Feng. (2022) The Carbon Emissions Trading Policy of China: Does It Really Promote the Enterprises’ Green Technology Innovations?. International Journal of Environmental Research and Public Health 19:21, pages 14325.
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Lijuan Wu, Chenglin Qing & Shanyue Jin. (2022) Environmental protection and sustainable development of enterprises in China: The moderating role of media attention. Frontiers in Environmental Science 10.
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BingXue Han, Yuan Wang, Ze Yang, JingXin Huang, NingJing Zhang & ZiYan Zhang. (2022) Effective application of feedforward neural networks in environmental economics: based on the comparison between traditional methods and neural network methods. Effective application of feedforward neural networks in environmental economics: based on the comparison between traditional methods and neural network methods.

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