4.7 Article

The impact of emission trading system on clean energy consumption of enterprises: Evidence from a quasi-natural experiment in China

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 318, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2022.115613

Keywords

Emission trading system; Clean energy; Difference-in-differences; Propensity score matching

Funding

  1. Sichuan Philosophy and Social Science Planning Project of China [SC18B080]
  2. SWUFE of China [KCSZ202130]
  3. SWUFE of China

Ask authors/readers for more resources

This study verifies the ability of environmental regulations to increase clean energy consumption by analyzing market-incentive environmental regulations. The study also finds that environmental regulations promote clean energy consumption by improving the production of enterprises.
Research on the ability of environmental regulations to achieve an innovation-offset effect by increasing clean energy use is required. This study aims to verify this by analysing the impact of market-incentive environmental regulation on enterprises' clean energy consumption. Using China's sulfur dioxide (SO2) emission trading system (ETS) for 2007 as a quasi-natural experiment, the difference-in-differences model and data obtained from the Chinese Industrial Enterprises Database and Chinese Industrial Enterprises Pollution Database were used to determine whether an ETS affects enterprises' clean energy consumption. The results show that an ETS encourages enterprises to utilise clean energy and has a significantly positive impact on enterprises' clean energy consumption. Moreover, this study finds that an ETS promotes clean energy consumption by improving the production of enterprises. This study verifies the rationality of China's SO2 ETS design.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available