Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method

By Liyan Sun, Cheng-lin Miao, Li Yang. 2017

304 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/8890cd2807d6e4413becd05c8210db3f0af3f8ca

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. Zhongfei Chen
2. Minzhe Du
3. Qian Yu
4. Peter Fernandes Wanke
5. Jorge Junio Moreira Antunes
6. Debin Fang

Citations in the corpus

• Driving effect of technology innovation on energy utilization efficiency in strategic emerging industries (2018, background): “…countries propose developing strategic emerging industries, accelerating industrial structure adjustments and upgrades, transforming the economic growth pattern, and leading and guiding the economic society to achieve long-term development (Li-yan Sun et al., 2017; C. Vasanthakumar et al., 2016).”
• Ecological efficiency assessment under the construction of low-carbon city: a perspective of green technology innovation (2021, methodology): “…require exogenously defined criteria/alternative weights, while productive resource and DMU (Decision Making Unit) weights are defined endogenously in DEA models, for instance, as part of the primal/dual optimization process with respect to the data envelop computation (Sun, Miao, and Yang 2017).”