2022
DOI: 10.1016/j.energy.2021.122191
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Determination of driving forces for China's energy consumption and regional disparities using a hybrid structural decomposition analysis

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Cited by 35 publications
(11 citation statements)
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“…Moreover, FD can provide individuals more diversified ways to manage their own finance, and thus increasing income, which expands the demand for EC. In terms of control variables, economic development has a strong role in promoting the growth of EC, because economic development needs the resources inputs in the productive activities, which will promote EC (Meng et al, 2022, Gu et al, 2019. The expansion of population leads to more EC, as population growth increases energy demand.…”
Section: Benchmark Resultsmentioning
confidence: 99%
“…Moreover, FD can provide individuals more diversified ways to manage their own finance, and thus increasing income, which expands the demand for EC. In terms of control variables, economic development has a strong role in promoting the growth of EC, because economic development needs the resources inputs in the productive activities, which will promote EC (Meng et al, 2022, Gu et al, 2019. The expansion of population leads to more EC, as population growth increases energy demand.…”
Section: Benchmark Resultsmentioning
confidence: 99%
“…Montanía and Dall’erba (2021) have proposed a multidynamic interregional IO shift-share decomposition to analyze the drivers of economic growth in European Union countries. Meng et al (2022) have used hybrid structural decomposition analysis to assess the drivers of China’s energy consumption and regional disparities. Ge and Xie (2019) have used hierarchical SDA to evaluate the effects of changes in final demand on China’s employment fluctuation.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Therefore, SDA can distinguish between technological and final demand effects and indirect demand effects (Hoekstra and van der Bergh, 2003;Rose and Casler, 1996). So far, SDA has been applied to analyze air pollution (Leontief and Ford, 1972), energy consumption (Meng et al, 2022), carbon emissions (Cansino et al, 2016;Su and Ang, 2016), economic growth (Hong et al, 2016) and productivity changes (Yang and Lahr, 2010). Scholars have developed different SDA models for different research goals and data availability.…”
Section: Factors Influencing the Employment Effect Of Tourism-related...mentioning
confidence: 99%
“…The results show that there are differences in energy consumption among regions and different sectors. The positive effect of energy consumption caused by income growth is more significant in cities [7]. Han et al applied the quantile regression technique to explore the impact of trade openness and urbanization effect on renewable and non-renewable energy consumption in China.…”
Section: Introductionmentioning
confidence: 99%