2010
DOI: 10.1016/j.energy.2009.12.035
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The impact on chinese economic growth and energy consumption of the Global Financial Crisis: An input–output analysis

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Cited by 112 publications
(47 citation statements)
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“…By contrast, some studies have shown indirect impacts of financial development on energy consumption during the global financial crisis. For China, Yuan et al (2010) showed that the decline in exports due to the crisis led to a 7.33% decrease in GDP and a 9.21% decrease in energy consumption. Zhao et al (2016) confirmed these results for China by considering electricity consumption, which decreased by 14.31% in 2008.…”
Section: Financial Development and Energy Consumption In Other Countriesmentioning
confidence: 99%
“…By contrast, some studies have shown indirect impacts of financial development on energy consumption during the global financial crisis. For China, Yuan et al (2010) showed that the decline in exports due to the crisis led to a 7.33% decrease in GDP and a 9.21% decrease in energy consumption. Zhao et al (2016) confirmed these results for China by considering electricity consumption, which decreased by 14.31% in 2008.…”
Section: Financial Development and Energy Consumption In Other Countriesmentioning
confidence: 99%
“…The GFC hit various sectors of China including energy, exports and overall GDP. During this crisis, the Chinese exports fell down, consumption of energy also decreased and the GDP growth went down to 7.33% (Yuan et al, 2010). The GFC damaged China's economy more than the Asian Financial Crisis; the short-term capital flows decreased significantly and FPI flows to China decreased by 39% in 2008.…”
Section: China and India During The Last Two Decadesmentioning
confidence: 99%
“…IO models have been modified for the explicit analysis of the energy sector (e.g. see [187][188][189]), whereas intrinsic features regarding economic activity, energy use and environment effects have led to extensions of IO models that combine both environment and energy modelling (e.g. see [190][191][192][193][194][195]) and to analyze energy-economy-environment (e3) interactions (e.g.…”
Section: Input-output Multi-objective Models To Assess Economic-energmentioning
confidence: 99%