How to optimize the development of carbon trading in China—Enlightenment from evolution rules of the EU carbon price

By Guochang Fang, Lixin Tian, Menghe Liu, Min Fu, Mei Sun. 2018

115 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/a3c32046e6101365c2e579151a49d5e5ec6e1f88

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Lynn H. Kaack
2. Yoshua Bengio
3. Natasha Jaques
4. Konrad Paul Kording
5. Tegan Maharaj
6. Felix Creutzig
7. Demis Hassabis
8. Yi Yang

Citations in the corpus

• Tackling Climate Change with Machine Learning (2019, background): “ly each strategy will reduce emissions, as well as how the underlying socio-technical system may be affected. Studies have considered effects of carbon pricing on economic growth and energy intensity [779, 780], or on electricity prices [781]. Effects of pricing mechanisms can also be indirect, as c”