The CO2 emission efficiency, reduction potential and spatial clustering in China's industry: evidence from the regional level
By Yue‐Jun Zhang, Jun-Fang Hao, Juan Song. 2016
182 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Health, Toxicology and Mutagenesis
View Paper: https://www.semanticscholar.org/paper/a01f6d4ea6effb65b6f9a4f81c88e4c2316c7eb3
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In Economics and Econometrics
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Citations in the corpus
- Pattern changes in determinants of Chinese emissions (2017, background): “China’s rapid economic growth has simultaneously brought wealth to its people and generated significant greenhouse gas (GHG) emissions (Davis and Socolow 2014, Mi et al 2015, Zhang et al 2016).”
- Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework (2017, methodology): “To further excavate important information and rules underlying spatial interactions, Moran’s index (Moran’s I) is used to test the spatial autocorrelations of carbon emissions (Dong and Liang 2014; Black et al. 2014; Zhang et al. 2016).”