Impacts of urbanization on renewable energy consumption in China

Yang, Jun; Zhang, Wei; Zhang, Zongyi

doi:10.1016/j.jclepro.2015.07.158

Cited by 131 publications

(66 citation statements)

References 43 publications

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“…Total produce energy consumption jumped from 50.7 Mtce in 1995 to 166.6 Mtce in 2011. Figure 2 shows that there exists the exponential relationship between urbanization and produce energy consumption during the period 1995-2011, which is consistent with the results received by Wang (2014). The tendency of produce energy consumption can be divided into two phases: a slow-growth phase from 1995 to 2002 and a rapid-growth phase between 2003 and 2011.…”

Section: Resultssupporting

confidence: 86%

“…Using the integrated PopulationEconomy-Technology-Science model, O'Neill et al (2012) assessed the implications of a plausible range of urbanization pathways for energy use and carbon emissions in India and China. Wang (2014) developed a new method of energy decomposition analysis, which was utilized to explore the effects of urbanization on residential energy consumption and produce energy consumption.…”

mentioning

confidence: 99%

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Analyzing the impact of urbanization on energy consumption in Jiangsu Province

Zhang

2014

Nat Hazards

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Jiangsu is one of the most developed regions in China. Its' urbanization rate increased to 61.9 % in 2011, faster than the whole country level (51.27 %). Exploring the influence of urbanization on energy consumption in Jiangsu may help find the relationship between energy consumption and urbanization. The main results received in this paper are as follows.(1) Urbanization accelerated the produce energy consumption over the study period. The produce energy consumption jumped from 50.7 Mtce in 1995 to 166.6 Mtce in 2011. (2) Due to the rapid urbanization, the gap between residential energy consumption for urban and rural regions gradually has become wide since 2002. However, the gap in residential energy consumption per capita between urban and rural has changed narrow since 1995. (3) The grey relational degree between urbanization and office energy consumption is the biggest. However, the relational grade for construction energy consumption is relatively low. (4) The energy intensity effect plays an important role in decreasing produce energy consumption at the aggregate level, followed by the economic structure effect. The economic activity density effect, urbanization rate effect and population effect are found to be primarily responsible for driving produce energy consumption growth over the study period.

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Section: Resultssupporting

confidence: 86%

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confidence: 99%

Analyzing the impact of urbanization on energy consumption in Jiangsu Province

Zhang

2014

Nat Hazards

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“…This is not a surprising result because substantial studies has used urbanization as an explanatory variable to seek and explain the relationship between renewable energy (electricity) and economic growth. However, in some isolated cases, we found that urbanization contributed more towards the growth of non-renewable energy sources comparatively of renewable energy consumption (Yang et al 2015).…”

Section: Resultsmentioning

confidence: 72%

Estimation of electricity demand function for Algeria: Revisit of time series analysis

Khraief

Shahbaz

Mallick

et al. 2018

Renewable and Sustainable Energy Reviews

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This paper aims to empirically re-examine whether economic growth has effect on electricity consumption for Algerian economy. We have incorporated urbanisation and trade openness in electricity demand function as additional determinants of electrictyy consumption for the period of 1971-2012. For empirical purpose, we have applied the recently developed combined cointegration test proposed by Bayer and Hanck (2013) and bounds testing approach to cointegration by Pesaran et al. (2001) for establishing the cointegration between the variables by accomodating structural breaks.The results expose that income growth leads to higher electricity demand along with urbanization being another major contributing factor of rising electricity demand. In contrast, trade openness leads to reduce electricity demand. The causal association between the variables is further exmained with the application of innovation accounting approach of Vector Autoregressive (VAR). The empirical evidnce inidactes the presence of the neutral effect between income growth and electricity use. Urbanization causes electricity use and electricity use causes urbaniation in Granger sense.

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“…Finally, Yang et al (2015) employed the logarithmic mean Divisia index (LMDI) method to investigate the impact of urbanization on renewable energy consumption growth (RECG). Urbanization effect, energy mix effect, energy intensity effect, economic effect, and population effect were recognized as the key factors influencing the growth of renewable energy consumption, which experienced the slow growth stage, the fluctuant growth stage, and the accelerated growth stage.…”

Section: Global Implementation Of Eidmentioning

confidence: 99%