Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)
By Meiting Fan, Shuai Shao, Lili Yang. 2015
189 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/1a1e8f43fcff0e6cee3847672a96606b2e01b3ce
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In Economics and Econometrics
In Environmental Engineering
Citations in the corpus
- Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework (2017, background): “Efficiency improvements reduce carbon emissions by improving management efficiency, and technological innovations reduce carbon emissions by enhancing scientific and technological innovation capabilities (Du et al. 2014; Fan et al. 2015).”
- Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas (2017, background): “[42] 32 industrial sub-sectors in Shanghai (China) 1994-2011 Energy consumption, labor force, capital stock Gross industrial output CO2”
- A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries (2016, background): “[15] argued that “We choose gross industrial output that contains the intermediate input rather than industrial added value as the desirable output since the industrial CO2emission mainly come from fossil fuel consumption, which is an intermediate input.”