2016
DOI: 10.1016/j.egypro.2016.06.029
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Evolution of China's Urban Energy Consumption Structure—A Case Study in Beijing

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Cited by 21 publications
(9 citation statements)
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“…The total vehicle population has exceeded 5.4 million in 2016 in Beijing . Such a huge quantity would definitely contribute prominently to airborne magnetite . If we assume that airborne magnetite is only emitted from road traffic (with no nonroad traffic input), the concentration of magnetite should theoretically exhibit a zero-intercept linear relationship with the Pd concentration (i.e., Pd = 0 when magnetite = 0).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The total vehicle population has exceeded 5.4 million in 2016 in Beijing . Such a huge quantity would definitely contribute prominently to airborne magnetite . If we assume that airborne magnetite is only emitted from road traffic (with no nonroad traffic input), the concentration of magnetite should theoretically exhibit a zero-intercept linear relationship with the Pd concentration (i.e., Pd = 0 when magnetite = 0).…”
Section: Resultsmentioning
confidence: 99%
“…48 Such a huge quantity would definitely contribute prominently to airborne magnetite. 49 If we assume that airborne magnetite is only emitted from road traffic (with no nonroad traffic input), the concentration of magnetite should theoretically exhibit a zero-intercept linear relationship with the Pd concentration (i.e., Pd = 0 when magnetite = 0). Since road traffic is the exclusive source for Pd, in reality, any other source input (i.e., CFA) will cause the relationship of magnetite with Pd to deviate from a zero-intercept linearity.…”
Section: ■ Experimental Sectionmentioning
confidence: 99%
“… c is model’s constant term; εit is the random disturbance term. Existing research shows that apart from the industrial structure, energy consumption structure had many other influence factors which include technological progress, changes of energy prices, economic development levels and so on (Fan et al., 2012; Liu and Li, 2011; Liu et al., 2016). Therefore, this article chooses the technological progress ( technologyit), energy price ( priceit), and economic level ( GDP_Pit) as the control variables of the regression model.…”
Section: Methodsmentioning
confidence: 99%
“…Beijing is one city that was required to implement the coal to electricity policy, and we choose its suburban residents who have installed ASHP as our research sample. The primary reasons why suburban Beijing was chosen as the research region included (a) Beijing is concentrating on shifting its residential heating energy from coal to cleaner residential heating energy such as electricity; (b) as the political and cultural center in China, Beijing scarcely confronts with a shortage of energy supply which may result in negative commendations to the current coal to electricity policy (Liu, Chen, Wang, Campana, & Yan, 2016); and (c) unlike urban areas where mainly adopt district heating systems, suburban residents often have to decide their RHT by themselves. To collect data, the Resource and Environmental Protection Department of the National Audit Office which is authorized to supervise the implementation processes of the coal to electricity policy was invited to assist in contacting our research respondents.…”
Section: Data Collectionmentioning
confidence: 99%
“…However, China's traditional model of economic growth requires huge resource investment (e.g., labor, capital, land, and energy). The Chinese energy resource endowment, with the characteristics of "rich in coal, short in oil and gas," results in the typical imbalance of energy consumption structure in which coal is the principal energy source of industrial sectors and human life (Liu, Chen, Wang, Campana, & Yan, 2016;Marigo, Foxon, & Pearson, 2010). Meanwhile, it has led to many researchers predicting that coal will remain the biggest energy source for China in the foreseeable future (Meng & Xiong, 2018).…”
Section: Introductionmentioning
confidence: 99%