2020
DOI: 10.1016/j.jclepro.2020.120468
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Does urbanization drive economic growth decoupled from energy consumption in China’s logistics?

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Cited by 19 publications
(9 citation statements)
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“…Zaman and Shamsuddin (2016) examined the impact of logistics performance indices on national scale economic indicators (namely energy, environment, and economic health) [16]. Liu et al (2020) conducted a study on how urbanization driven decoupled economic growth from China's logistics energy consumption [6]. Reducing the energy consumption in logistics industry is another important aspect of existing studies.…”
Section: Author Copymentioning
confidence: 99%
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“…Zaman and Shamsuddin (2016) examined the impact of logistics performance indices on national scale economic indicators (namely energy, environment, and economic health) [16]. Liu et al (2020) conducted a study on how urbanization driven decoupled economic growth from China's logistics energy consumption [6]. Reducing the energy consumption in logistics industry is another important aspect of existing studies.…”
Section: Author Copymentioning
confidence: 99%
“…The growth rate of output is equal to the growth rate of capital (i.e. g Y (t) = g K (t)) under the balanced growth path, thus the formula (5) can be written as follows: (6) Lucas (1988) believed that the growth rate of output per capita can better reflect the level of economic growth [30], so the average output growth rate of labor per unit can be calculated, as follows: (7) Next step, the average output growth rate per unit of labor on the balanced growth path can be calculated, provided that the average energy consumption per unit of labor remains unchanged, as follows: (8) Then, the growth drag of energy consumption is equal to the difference between formula (8) and formula ( 7): (9) The formula (9) shows that the growth drag of energy consumption in logistics industry is positively correlated with the elasticity of energy resource (β), the growth rate of labor and energy consumption (Δl and Δe) and elasticity of capital (α). That is, the energy consumption of logistics industry increase, meanwhile, the growth of logistics industry will be limited (i.e.…”
Section: Model Constructionmentioning
confidence: 99%
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“…Liu et al (2020) [13] proposed a combined model based on Tapio decoupling model, KAYA identity and LOG-MEAN DIVISIA index, and decomposed the impact of urbanization into four related factors. They used the method of comparative analysis to investigate the similarities and differences of urbanization-related factors that affect the decoupling state of logistics energy consumption and economic growth.…”
Section: Introductionmentioning
confidence: 99%