Efficient allocation of CO2 emissions in China: a zero sum gains data envelopment model

By Zhuang Miao, Yong Geng, Jichuan Sheng. 2016

142 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d9b4bc0e32649c87af30cdc34d07942d40f6495a

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. Tianxiang Li
2. Dalia Streimikiene
3. Kai Fang
4. Tomas Balezentis
5. D. Makutėnienė
6. I. Kriščiukaitienė

In Environmental Engineering

1. Tianxiang Li
2. Dalia Streimikiene
3. Kai Fang
4. Tomas Balezentis
5. D. Makutėnienė
6. I. Kriščiukaitienė
7. Edmundas Kazimieras Zavadskas

In Management Science and Operations Research

1. Dalia Streimikiene
2. Tomas Balezentis
3. Edmundas Kazimieras Zavadskas

Citations in the corpus

• How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance (2019, methodology): “[32] took advantage of a ZSG-DEA model to investigate the DEA efficiency of provincial carbon emissions in China from 2006 to 2010 by choosing capital stock, population and energy consumption as inputs, and GDP and carbon emissions as outputs.”
• Energy-related CO2 emission in European Union agriculture: Driving forces and possibilities for reduction (2016, methodology): “Furthermore, efficiency models can be used for emission allocation [60,61].”