The drivers of Chinese CO2 emissions from 1980 to 2030
By D. Guan, Klaus Hubacek, C. Weber, G. P. Peters, David Reiner. 2008
597 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/f407a9474e74ed05e8b2391af2fbd281c1b1c885
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In Economics and Econometrics
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Citations in the corpus
- Embodied energy use in China's industrial sectors (2012, background): “Since China will keep rapid economic growth in the next decades, total energy consumption will increase rapidly if energy efficiency cannot be improved simultaneously (Guan et al., 2008).”
- Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city (2018, background): “emission change at global [54], national [55, 56], subnational [57], city [49, 58] and”
- Assessment of electrical vehicles as a successful driver for reducing CO2 emissions in China (2016, unknown): “In our study, we forecast the I-O table, based on income elasticity growth rates [60], GDP growth, population growth and peoples’ changing consumption pattern [61].”
- Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010 (2017, background): “…to its ability to provide an economy-wide perspective by accounting for the effects of the full supply chain, IOA has become an important approach for estimating embodied emissions in trade (e.g., Peters et al., 2007; Guan et al., 2008, 2009; Feng et al., 2012; Meng et al., 2015; Liu et al., 2016).”
- Analyzing the causalities between economic growth, financial development, international trade, tourism expenditure and/on the CO2 emissions in Greece (2017, background): “…2010; Pao and Tsai, 2011; Arouri et al., 2012; Saboori et al., 2014; Isik and Shahbaz, 2015), international trade (Peters et al., 2007; Guan et al., 2008; Weber 2008; Feng et al., 2009; Zhang, 2009; Shahbaz et al., 2014), financial development (Frankel and Romer, 1999; Sadorsky, 2010;…”
- The socioeconomic drivers of China’s primary PM2.5 emissions (2014, methodology): “5 emission changes can be decomposed by using the input–output structural decomposition analysis (SDA), following our previous analyses on CO2 emissions (Guan et al 2009, 2008, Minx et al 2011, Peters et al 2007).”
- Carbon emission imbalances and the structural paths of Chinese regions (2018, methodology): “Among all the existing studies, the single-regional input-output (SRIO) analysis was applied to analyze GHG emissions of final demand in a national or regional economy [19-21] while the multi-regional input-output (MRIO) analysis was employed to calculate carbon emissions embodied in trade among dif”
- The Carbon Footprint of Norwegian Household Consumption 1999–2012 (2016, background): “Previous structural decomposition analyses have found that technological improvements have generally led to reduced carbon emissions intensities, but that these have not been sufficient to offset the emission growth caused by increased affluence (Peters et al. 2007; Guan et al. 2008).”