Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings

By Ke Wang, Yi-Ming Wei, Zhimin Huang. 2016

161 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/36e7f367ad73e3e07cb541d2ac1050d119341348

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. Yue‐Jun Zhang
2. Bo Shen
3. Yongmei Bentley
4. Usha Ramanathan
5. Chao Ma
6. Yuxia Peng
7. Ramakrishnan Ramanathan
8. Peng Zhou

In Management Science and Operations Research

1. Yongmei Bentley
2. Usha Ramanathan
3. Yue‐Jun Zhang
4. Ramakrishnan Ramanathan
5. Peng Zhou
6. Beng Wah Ang
7. Ali Emrouznejad
8. Marianna Marra

Citations in the corpus

• Can environmental innovation facilitate carbon emissions reduction? Evidence from China (2017, background): “…and mechanism (Zhou et al., 2013; Jiang et al., 2014; Xiong et al., 2015), market efficiency and economic impact (Zhao et al., 2015; Wang et al., 2016), as well as its impact on related enterprises’ strategies, product pricing and low-carbon investment (Zhang et al., 2015; Wang et al., 2016).”
• The debate on flexibility of environmental regulations, innovation capabilities and financial performance : a novel use of DEA (2018, methodology): “Recently, Wang et al. (2016) have used a DEA-based optimization model to show the superiority of market-based carbon emission trading schemes with command-and-control regulatory policies in China.”