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Studies have shown that industrial structure (IS) adjustment, climate factors, energy intensity, etc. factors are the reasons causing the deviation between the growth rate of industrial value added (IVA) and electricity consumption of industry (Ele) in China. However, no one researches whether line loss (LL), calculated in industrial electricity consumption in China, is one of the reasons contributing to the deviation. In order to thoroughly figure out what is the cause of the deviation, theoretical method, correlation analysis, autoregressive distributed lag (ARDL) model and an error correction model (ECM) have been undertaken in the paper. Experimental results are as follows: (1) LL fluctuates violently in accordance with temperature, while IVA is not; (2) the correlation between IVA and Ele becomes stronger, if LL is eliminated from Ele; (3) both in the long-run and short-run equation of ARDL model, IS is the first driver of Ele, followed by LL and IVA; (4) compared with International Energy Agency and based on the experimental results, the practice statistics of LL in Ele is not reasonable in China; (6) policies for promoting the upgrading of the internal industrial structure and for improving the statistical method of electricity consumption in China are proposed, finally.
Shengnan Xing; Jindian Lu; Chengmei Zhang; Shuang Sun. Does line loss broaden the deviation between the added value of industry and the industrial electricity consumption in China? Environment, Development and Sustainability 2018, 21, 1635 -1648.
AMA StyleShengnan Xing, Jindian Lu, Chengmei Zhang, Shuang Sun. Does line loss broaden the deviation between the added value of industry and the industrial electricity consumption in China? Environment, Development and Sustainability. 2018; 21 (4):1635-1648.
Chicago/Turabian StyleShengnan Xing; Jindian Lu; Chengmei Zhang; Shuang Sun. 2018. "Does line loss broaden the deviation between the added value of industry and the industrial electricity consumption in China?" Environment, Development and Sustainability 21, no. 4: 1635-1648.
China’s emissions continue to rise rapidly in line with its mounting energy consumption, which puts considerable pressure on China to meet its emission reduction commitments. This paper assesses the impacts of CO2 mitigation measures in China during the period from 2010 to 2050 by using a computable general equilibrium method, called AIM/CGE. Results show that renewable energy makes a critical difference in abating emissions during the period from 2010 to 2020. The scenarios with emission trading would drive more emission reductions, whereby the emission-cutting commitment for 2020 would be achieved and emission reductions in 2050 would be more than 57.90%. Meanwhile, the share of non-fossil energy increases significantly and would be more than doubled in 2050 compared with the BAU scenario. A carbon tax would result in a significant decline in emissions in the short term, but would have an adverse effect on economic growth and energy structure improvements. It is also observed that the integrated measures would not only substantially decrease the total emissions, but also improve the energy structure.
Wei Li; Hao Li; Shuang Sun. China’s Low-Carbon Scenario Analysis of CO2 Mitigation Measures towards 2050 Using a Hybrid AIM/CGE Model. Energies 2015, 8, 3529 -3555.
AMA StyleWei Li, Hao Li, Shuang Sun. China’s Low-Carbon Scenario Analysis of CO2 Mitigation Measures towards 2050 Using a Hybrid AIM/CGE Model. Energies. 2015; 8 (5):3529-3555.
Chicago/Turabian StyleWei Li; Hao Li; Shuang Sun. 2015. "China’s Low-Carbon Scenario Analysis of CO2 Mitigation Measures towards 2050 Using a Hybrid AIM/CGE Model." Energies 8, no. 5: 3529-3555.