Energy efficiency rebound effect research of China’s coal industry

Líu, Hao; Ren, Yongsheng; Wang, Ning

doi:10.1016/j.egyr.2021.08.131

Cited by 31 publications

(5 citation statements)

References 21 publications

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“…Liu et al defined the energy efficiency rebound effect of the coal industry and compared the rebound effect coefficient at the coal industry level and the enterprise level. This study found that energy intensity at the macro and micro levels has been downward, but with a rebound effect [20]. Zhang et al conducted an empirical analysis using spatial econometric methods and geographically and temporally weighted regression, indicating that energy "growth drag" effect has positive direct effect and spillover effect [21].…”

Section: Theoretical Background and Hypothesismentioning

confidence: 86%

Research on Energy Saving and Rebound Effects of Technological Progress from the Perspective of Regime Switch

Liu¹,

Xie²,

Wan³

2023

Pol. J. Environ. Stud.

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Technological progress has been considered as the essential backbone of reducing energy consumption and achieving low-carbon transmission. It is universally accepted that the technological level and energy structure change with time, indicating a significant characteristic of regime switching. From the perspective of regime switching, this paper considers the saving and rebound effect of technological progress and uses MSIH-VAR model to empirically analyze energy consumption changes in Zhejiang Province from 1990 to 2019. The results show that technological progress restricts the growth of energy consumption. Specifically, in the whole period, the variables show significant characteristics of double regimes, whose attributes are different. Moreover, the boundary between regimes is clear, and the state is stable. Technological progress in regime 1 positively promotes the increase of energy consumption, while in regime 2 decreases energy consumption. The saving effect is stage or lag under different regimes.

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Section: Theoretical Background and Hypothesismentioning

confidence: 86%

Research on Energy Saving and Rebound Effects of Technological Progress from the Perspective of Regime Switch

Liu¹,

Xie²,

Wan³

2023

Pol. J. Environ. Stud.

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“…Based on the time series data of 1991-2016, Shao et al [30] explored the RE of Shanghai, China, and found the total RE during this period reached 93.96%. Liu et al [31] evaluated the RE of the coal industry in China from 2009 to 2019, and the results indicate that the average RE of the industry was 30.27%. Meng and Li [32] estimated the direct RE of the electricity sector in 30 Chinese provinces for the period 2009-2018, and found that the average RE was 75.21%.…”

Section: Existing Research On the Energy Rebound Effectmentioning

confidence: 99%

CO2 Emissions in China: Does the Energy Rebound Matter?

et al. 2022

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Enhancing energy efficiency is globally regarded as an effective way to reduce carbon emissions. In recent years, the energy efficiency of China has gradually improved; however, energy consumption and CO2 emissions are still increasing. To better understand the reasons for this, we evaluated the energy rebound effect (RE) of 30 provinces in China over the period 2001–2017 by employing stochastic frontier analysis (SFA) and the system generalized method of moments (system-GMM) approach, and explored the extent to which the RE affects CO2 emissions. Asymmetric and regional heterogeneity analyses were also conducted. The results indicate that the national average RE was 90.47% in the short run, and 78.17% in the long run, during the sample period. Most of the provinces experienced a partial RE, with a backfire effect occurring in some provinces such as Guangxi and Henan. The RE was associated with significant increases in CO2 emissions; specifically, a 1% increase in the short-run RE led to an increase in CO2 emissions of approximately 0.818%, and a 1% increase in the long-run RE resulted in an increase in CO2 emissions of approximately 0.695%. Moreover, significant regional differences existed in the impact of the RE on CO2 emissions; in regions with high emissions and a high RE, the CO2 reduction effect from the marginal decline in the RE was much more pronounced than that in other regions.

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“…Pollution problems associated with CCI need to be urgently addressed, as coal is used to produce energy in a variety of industrial processes [2]. Environmental problems related to CCI sites can be roughly divided into three categories: (1) gaseous waste production, including CO 2 , a greenhouse gas [3,4], methanol [5], and coke oven gas [6]; (2) wastewater production, including coking wastewater [7] and high-salt wastewater [7][8][9][10][11][12]; and (3) soil pollutants, including soil PAHs [13][14][15] and heavy metals [16,17]. Among the three types of CCI pollution, pollution of soil, which is the ultimate receptor of all types of pollutants, is characterized by long contamination times and complex environmental media, and the remediation technologies for soil pollution are underdeveloped.…”

Section: Introductionmentioning

confidence: 99%

An Assessment Framework for Human Health Risk from Heavy Metals in Coal Chemical Industry Soils in Northwest China

Wang,

Zhao,

et al. 2023

Sustainability

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Coal chemical industry (CCI) sites are characterized by complex environmental media, combined heavy metal pollution, and diverse exposure routes. However, existing human health risk assessment (HHRA) methods have multiple drawbacks, such as their small scope of application, limited assessment factors, and insufficient case applications. After 128 soil samples were collected, the contents of Be, V, Ni, Cu, Zn, As, Cd and Hg in the soils were analyzed based on general risk assessment guideline of China. Then, risk levels were calculated based on oral ingestion, skin contact and inhalation as the main exposure routes to compare and screen priority heavy metals. Furthermore, control values were identified through a contribution rate calculation model when CR > 10−6 or HQ > 1. As reference values, risk thresholds were proposed for heavy metals, and then a soil HHRA framework for the CCI site was constructed. Under the three exposure routes, the total CR was As > 10−6, and the total HQ was 1 > As > Cd; the HHRs related to As and V via the oral ingestion, dermal contact, and inhalation pathways were 76.67%, 13.13%, and 10.18% and 1.66%, 0, and 98.34%, respectively. The risk control value of As was 1.59 mg/kg and that of V was 25.1 mg/kg. Based on these results, the threshold values for priority heavy metals should be based on comprehensive considerations of the elemental background of a specific area, the contaminant criteria in different areas, the regional industrial development plan, and the most important control criterion, as well as the control value. Through the development of an HHRA framework and case verification, the authors of this article aim to guide CCI managers in screening priority heavy metals, formulating protection measures, developing improved operational procedures and improving the HHRA system for polluted CCI sites.

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Energy efficiency rebound effect research of China’s coal industry

Cited by 31 publications

References 21 publications

Research on Energy Saving and Rebound Effects of Technological Progress from the Perspective of Regime Switch

Research on Energy Saving and Rebound Effects of Technological Progress from the Perspective of Regime Switch

CO2 Emissions in China: Does the Energy Rebound Matter?

An Assessment Framework for Human Health Risk from Heavy Metals in Coal Chemical Industry Soils in Northwest China

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