2019
DOI: 10.1016/j.jclepro.2019.118322
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Investigating interior driving factors and cross-industrial linkages of carbon emission efficiency in China's construction industry: Based on Super-SBM DEA and GVAR model

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Cited by 162 publications
(63 citation statements)
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“…Yan et al (2020) use partially linear functional-coefficient models to investigate the effect of renewable technology innovation on green productivity and find that the significance of the effect depends on the relative income level China's provinces. Although the methods are different, most of the studies suggest that technology innovation is the main factor contributing to the increase of carbon efficiency (Du & Li, 2019;Yan et al, 2020;Yin et al, 2015;Yu et al, 2017;Zhou et al, 2019) Considering that carbon emission efficiency is mainly used to measure green production in previous studies, we focus our research on the influencing factors of carbon emission efficiency on the impact of green production. Furthermore, the majority of existing studies focus on the influencing factors of carbon efficiency or carbon productivity from an economical or regional view; few studies mention a specific industry, especially manufacturing.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Yan et al (2020) use partially linear functional-coefficient models to investigate the effect of renewable technology innovation on green productivity and find that the significance of the effect depends on the relative income level China's provinces. Although the methods are different, most of the studies suggest that technology innovation is the main factor contributing to the increase of carbon efficiency (Du & Li, 2019;Yan et al, 2020;Yin et al, 2015;Yu et al, 2017;Zhou et al, 2019) Considering that carbon emission efficiency is mainly used to measure green production in previous studies, we focus our research on the influencing factors of carbon emission efficiency on the impact of green production. Furthermore, the majority of existing studies focus on the influencing factors of carbon efficiency or carbon productivity from an economical or regional view; few studies mention a specific industry, especially manufacturing.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A few studies apply the GVAR model to investigate how fossil fuel use is related to CO 2 emissions in China. Zhou et al (2019) apply a GVAR model to sector-level data of six industries in China to study cross-sectoral linkages of carbon emission efficiency in China's construction industry including industry coal consumption and total-factor carbon emission efficiency. Cui and Zhu (2016) investigate how dual constraints of energy consumption and carbon emission affect China's economic growth by applying a GVAR model that takes into account fuel switch between non-renewable renewable energy sources.…”
Section: Introductionmentioning
confidence: 99%
“…Although climate variation is part of the evolution of the planet, human activities significantly potentiate greenhouse gas (GHG) emissions and hence global warming (Zhou et al, 2019). Among the factors that contribute most to CO2 emissions are the combustion of fossil fuels (IPCC, 2013) and the conversion of native vegetation areas to areas for human use (Kopittke et al, 2017).…”
Section: Introductionmentioning
confidence: 99%