Research on the Influence of Emission Trading System on Enterprises' Green Technology Innovation

This paper uses the data of China's A-share listed companies in Shanghai and Shenzhen stock markets from 2003 to 2014 and takes the pilot emission trading policy in 2007 for a quasinatural experiment to explore the role of the pilot emission trading policy in promoting enterprises' green t...

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Bibliographic Details
Main Authors: He, G. (Author), Luo, S. (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
Online Access:View Fulltext in Publisher
LEADER 01795nam a2200145Ia 4500
001 10.1155-2022-1694001
008 220425s2022 CNT 000 0 und d
020 |a 10260226 (ISSN) 
245 1 0 |a Research on the Influence of Emission Trading System on Enterprises' Green Technology Innovation 
260 0 |b Hindawi Limited  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1155/2022/1694001 
520 3 |a This paper uses the data of China's A-share listed companies in Shanghai and Shenzhen stock markets from 2003 to 2014 and takes the pilot emission trading policy in 2007 for a quasinatural experiment to explore the role of the pilot emission trading policy in promoting enterprises' green technology innovation. The empirical research shows a Porter effect in the emission trading system in China. Specifically, first, the emission trading policy can significantly promote enterprises' green technology innovation in pilot areas. In addition, the incentive effect of emission trading policy on green technology innovation is significantly different due to the types of green patents. Second, the incentive effect of emission trading policy on enterprises' green technology innovation is different due to the nature and scale of enterprises. The incentive effect is greater in state-owned enterprises than in non-state-owned enterprises, and it is greater in large-scale enterprises than in small-scale enterprises. Finally, the incentive effect of emission trading policy on enterprises' green technology innovation has heterogeneity of regions. It has the greatest incentive effect in eastern region, followed by western region and then central region. © 2022 Si Luo and Guohua He. 
700 1 |a He, G.  |e author 
700 1 |a Luo, S.  |e author 
773 |t Discrete Dynamics in Nature and Society