Investigating driving forces of aggregate carbon intensity of electricity generation in China

Wang, Junfeng; He, Shutong; Qiu, Ye; Liu, Nan; Li, Yongjian; Dong, Zhanfeng

doi:10.1016/j.enpol.2017.11.009

Cited by 50 publications

(25 citation statements)

References 31 publications

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“…Some studies on China's electric power sector focused on the decomposition of electricity consumption. For example, Wang et al (2018) and Fang et al (2019) studied electricity consumption from the perspective of geographical distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China

Mai

Ran

2020

Natural Resource Modeling

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Taking advantage of the electrification strategy, Northwest China has made full use of its natural resources endowment, to develop renewable energy as the substitution of thermal power. To evaluate carbon dioxide (CO2) emissions from electric power sector, an extended Kaya identity equation and the Logarithmic mean Divisia index decomposition method are applied to Northwest China from 1998 to 2017. Six explaining factors are analyzed, including carbon intensity, energy mixes, generating efficiency, electrification, economy and population. The results show that driving forces of CO2 emissions from electricity system varied greatly among provinces. Generally, economic growth has mainly contributed to increase CO2 emission, while the improvement in the power‐generating efficiency has crucially decreased CO2 emission. In 2017, Promoting electrification directly increased CO2 emissions from electric system, but indirectly reduced CO2 emissions from the whole region by 5.10% through the estimation of a clean development mechanism method. Therefore, local governments are suggested continuing to promote electrification to guide future emission reduction, while enterprises and individuals need to make their own contributions to low‐carbon development. Recommendations for Resource Managers: Variations of carbon dioxide (CO2) emissions of all five provinces in Northwest China are analyzed. Logarithmic mean Divisia index analysis is used to study the main drivers of CO2 emission change. Improvements in the generating efficiency significantly reduced CO2 emissions. Due to electrification effects, CO2 emissions from electric power increased, but CO2 emissions from the region decreased. Economy effects were still the biggest drivers affecting CO2 emission.

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Section: Literature Reviewmentioning

confidence: 99%

A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China

Mai

Ran

2020

Natural Resource Modeling

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“…Emissions intensity is an indicator of a country's carbon footprint and a body of literature has examined the factors affecting it such as total emissions, economic structure and efficiency [62,63].…”

Section: Intensity Metricsmentioning

confidence: 99%

The case for islands’ energy vulnerability: Electricity supply diversity in 44 global islands

Ioannidis

Chalvatzis

et al. 2019

Renewable Energy

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“…To reduce pollution emissions and build a healthy residential environment, the Chinese government has proposed various environmental policies regarding the residential heating sector (Su, Zhou, Gu, & Wu, 2019;Wang, He, Qiu, Liu, Li, & Dong, 2018). For instance, in 2013, the State Council proposed the Action Plan on Air Pollution Control, including the coal to electricity project (Zhang, Wang, Hao, Wang, Wang, Chai, & Li, 2016).…”

Section: Introductionmentioning

confidence: 99%

Technical Characteristics in the Diffusion of Cleaner Residential Heating System in China: The Case of Air-Source Heat Pump Technology

Zhou

et al. 2019

Tropical Conservation Science

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This study aims to explore the technical characteristics that affect user satisfaction with air-source heat pump technology which is recognized as one typical cleaner residential heating system and being promoted in China in response to the national "coal to electricity" policy. Moderated hierarchical linear regression analysis was conducted to analyze data from a questionnaire survey of 256 residents in suburban Beijing. Empirical results indicated that product convenience, product design, product reliability, product knowledge, and total cost, respectively, affect user satisfaction, but product safety has no significant effect on user satisfaction. Meanwhile, total cost is an important contingent factor that might weaken the positive effects of product convenience (or product design) on user satisfaction. Our research provides empirical evidence for identifying factors that influence user satisfaction with cleaner residential heating system in response to new energy policy and further provides useful managerial implications for market practice.

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Investigating driving forces of aggregate carbon intensity of electricity generation in China

Cited by 50 publications

References 31 publications

A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China

A LMDI decomposition analysis of carbon dioxide emissions from the electric power sector in Northwest China

The case for islands’ energy vulnerability: Electricity supply diversity in 44 global islands

Technical Characteristics in the Diffusion of Cleaner Residential Heating System in China: The Case of Air-Source Heat Pump Technology

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