Energy efficiency of the mining sector in China, what are the main influence factors?

Lin, Boqiang; Zhu, Runqing

doi:10.1016/j.resconrec.2020.105321

Cited by 24 publications

(5 citation statements)

References 52 publications

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“…We calculated the carbon emission performance of each city by using the Super-Slacks Based Measure (Super-SBM). Compared with the traditional data envelopment method (DEA), the Super-SBM method has obvious advantages in solving the problem of input and output slackness by introducing undesirable outputs and modified relaxation variables (Iftikhar et al, 2018;Lin and Zhu, 2021). Furthermore, it also can effectively evaluate the factor efficiency in the presence of unexpected outputs (Li and Shi, 2014;Abudureheman et al, 2023a).…”

Section: Data Sourcesmentioning

confidence: 99%

The impact of energy-saving R&D on urban carbon emission performance: evidence from 218 prefecture-level cities in China

Abudureheman,

Yiming

2024

Front. Environ. Sci.

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Different from the previous studies that mainly focus on the environmental and economic benefits of the total R&D, we specifically focus on the R&D activities in the energy field, namely, energy-saving R&D in this study, and explored the spatial impacts of energy-saving R&D on urban carbon emission performance and its internal transmission mechanisms for the first time. The heterogeneity analysis from the perspectives of different-types of R&D and different urban groups were also conducted. Results indicate that: Energy-saving R&D has obvious promoting effect on the improvement of urban carbon emission performance, among which the utility-type energy-saving R&D plays a more important role than the invention-type R&D. Energy-saving R&D promotes urban carbon performance mainly through the transmission mechanism of technical effects, while structural effect and urbanization effect negatively affects carbon emission performance due to the existence of energy rebound. Furthermore, there exists significant spatial spillover effects of energy-saving R&D on urban carbon emission performance, and economic factors play a more important role in this spatial effect. In addition, the impact of energy-saving R&D on carbon emission performance has obvious urban group heterogeneity. Finally, we proposed several policy suggestions based on the main conclusions of this study.

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Section: Data Sourcesmentioning

confidence: 99%

The impact of energy-saving R&D on urban carbon emission performance: evidence from 218 prefecture-level cities in China

Abudureheman,

Yiming

2024

Front. Environ. Sci.

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“…We find that the impact of regional integration is higher for firms located in regional core cities. According to previous studies [43,44], Guangzhou and Shenzhen are the core cities of the Pearl River Delta urban agglomeration, and Foshan, Zhaoqing, Dongguan, Huizhou, Zhuhai, Zhongshan, and Jiangmen are the peripheral cities. For example, the regional integration leads to an increase of 105.5% in terms of environmental performance for SO 2 in Guangzhou, which is the core city, whereas the impact of regional integration in Jiangmen and Zhuhai only presents 31.7% and 20.1% (these are peripheral cities).…”

Section: Regional Heterogeneitymentioning

confidence: 99%

Assessing the Impact of a Regional Integration Policy on Corporate Environmental Performance: Micro-Evidence from Chinese Industrial Firms

et al. 2023

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Environmental performance is extremely vital for sustainable growth in China, and the impact of a regional integration policy plays an important role in improving environmental performance. However, current studies are weak in causal inference, and firm-level evidence is lacking. As a result, taking the Outline of the Pearl River Delta Reform and Development Plan as a quasi-natural experiment, with propensity score matching and difference-in-differences methods, this paper investigates the effect of regional integration on firms’ environmental performance. Our empirical results show that regional integration can significantly improve corporate environmental performance; specifically, the regional integration will result in an increase in the output value, of 46.7%, 22.3%, and 68.1% per unit emission of sulfur dioxide (SO2), industrial wastewater (WATER), and industrial smoke and dust (SD). Moreover, the impact of regional integration differs across different industries. For SO2, the impact of regional integration is greater for the petroleum processing, coking and nuclear fuel processing industries, and special equipment manufacturing; in terms of WATER, the impact is much higher in the tobacco products industry and printing and the reproduction of recording media industry; for SD, the petroleum processing, coking, and nuclear fuel processing industries are highly impacted. Finally, this impact also differs for core and peripheral cities. For policy implications, first, regional integration policies are highly recommended, and China is implementing regional integration in the Beijing–Tianjin–Hebei area and Yangtze River Delta, and these policies should be enhanced for other areas. Second, to maximize the effect of regional integration, the government needs to combine regional industrial structural characteristics to formulate industrial and environmental policies.

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“…In the past decades, the eastern region of China has been a priority development region of the state based on its comparative strengths (Chen et al, 2021a). It has always been better than the inner and western regions in terms of high-quality talents, scientific and technological level, infrastructure construction and economic strength (Lin & Zhu, 2021). In addition, owing to the continuous optimization of the industrial structure in the eastern region in recent years, the original resources and labor-intensive enterprises in the eastern region have been transferred to the inner and western regions (Xue et al, 2022), which will undoubtedly have a certain impact on the EE of the inner and western regions.…”

Section: Evaluation Ee System and The Efficiency Of Its Subsystems In...mentioning

confidence: 99%

The Recent Ecological Efficiency Development in China: Interactive Systems of Economy, Society and Environment

Yang

Wong

et al. 2022

Technological and Economic Development of Economy

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Ecological efficiency (EE) provides much reference for formulating appropriate regional economic, social and environmental policies to promote sustainable development. Interactive subsystems of economy, society and environment within EE system have been considered in this paper. By innovatively integrating the merits of two advanced economic research methods (global super efficiency network data envelopment analysis (GSE-NDEA) and panel vector autoregression (PVAR) and updating the EE evaluation indicator system by following the new features of sustainable development in the recent China, this paper comprehensively evaluates EE by drawing evidence from 3 regions in China during the period of 2011–2020, and further reveals how the three subsystems within EE system interact to achieve EE enhancement. The findings show EE and its three subsystems’ trend, the major constrains of EE development, the regional discrepancies in EE progress, and the interactions among the subsystems of economy-society-environment within the EE system in different regions of China. The policy implications are proposed accordingly.

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Energy efficiency of the mining sector in China, what are the main influence factors?

Cited by 24 publications

References 52 publications

The impact of energy-saving R&D on urban carbon emission performance: evidence from 218 prefecture-level cities in China

The impact of energy-saving R&D on urban carbon emission performance: evidence from 218 prefecture-level cities in China

Assessing the Impact of a Regional Integration Policy on Corporate Environmental Performance: Micro-Evidence from Chinese Industrial Firms

The Recent Ecological Efficiency Development in China: Interactive Systems of Economy, Society and Environment

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