Does new energy consumption conducive to controlling fossil energy consumption and carbon emissions?-Evidence from China

Cang, Dingbang; Cang, Chen; Qing, Chen; Sui, Lili; Cui, Caiyun

doi:10.1016/j.resourpol.2021.102427

Cited by 52 publications

(26 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar findings have been reported in the case of the Chinese economy (Abbasi et al , 2022; He, 2022). Although Dingbang et al (2021) contend that the efficiency of fossil fuels has been rising against a decreasing trend for renewable energy efficiency in China, they however opine that an appropriate mix between renewable energy consumption and non-renewable energy efficiency is necessary in fostering environmental quality. These findings therefore highlight the importance of energy transition in meeting the carbon neutral target (Gu et al , 2023).…”

Section: Critical Review Of Literaturementioning

confidence: 99%

“…Similarly, Avom et al (2020) showed that green technologies adoption and enhancements in energy efficiency have a mitigating role on the environmental effects of ICTs. However, although Dingbang et al (2021) contend that the efficiency of fossil fuels has been rising against a decreasing trend as regards renewable energy efficiency; the environmental effects of non-renewable energy consumption remain largely detrimental (Abbasi et al , 2022; He, 2022).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy transition and pollution emissions in developing countries: are renewable energies guilty?

Achuo

Ojöng

2023

IJDI

View full text Add to dashboard Cite

Purpose This study aims to examine the effects of energy transition on pollution emissions in Africa. In addition, it explores the indirect channels through which energy consumption impacts environmental quality. Design/methodology/approach The study uses system Generalised Method of Moments approach for a panel of 51 developing African countries over the 1996–2020 period. Findings The results show that fossil fuel and renewable energy consumption increase pollution emissions. The environment-degrading effect of renewable energy in Africa is however counter-intuitive, though the results are robust across regional economic blocks and income groups except for upper-middle-income countries where energy consumption is environment enhancing. Moreover, the results show that the environmental impacts of non-renewable energy consumption are modulated through financial development and information and communication technology (ICT) adoption, leading to respective positive net effects of 0.04460796 and 0.07682873. This is up to respective policy thresholds of 203.265 and 137.105 of financial development and ICT adoption, respectively, when the positive net effects are nullified. Practical implications Contingent on the results, the study suggests the need for African countries to develop sound financial systems and encourage the use of green technologies, to ensure that energy transition effectively contributes to emissions reduction. Policymakers in Africa should also be aware of the critical levels of financial development and ICT, beyond which complementary policies are required for non-renewable energy consumption to maintain a negative impact on environmental degradation. Originality/value Firstly, extant studies on the nexus between energy transition and environmental degradation in Africa are very sparse. Therefore, this study fills the existing research gap by comprehensively examining the effects of energy transition on pollution emissions across 51 African economies. Additionally, besides accounting for the direct environmental effects of energy transition, the current study accounts for the indirect channels through which the environmental impacts of energy transition are modulated. Hence, this study provides critical thresholds for the policy modulating variables, which enlighten policymakers on the necessity of designing complementary policies once the modulating variables attain the established thresholds.

show abstract

Section: Critical Review Of Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy transition and pollution emissions in developing countries: are renewable energies guilty?

Achuo

Ojöng

2023

IJDI

View full text Add to dashboard Cite

show abstract

“…Literature [2] studied the impact of China's new energy consumption on fossil energy consumption and carbon (co2) emissions by using energy efficiency measurement, surface uncorrelated regression and scenario simulation. The results show that the efficiency of fossil energy increases gradually, while the efficiency of new energy decreases.…”

Section: Introductionmentioning

confidence: 99%

Energy consumption and carbon emission measurement online detection method based on hybrid particle swarm optimization algorithm

Zhang,

Shang,

Zheng

2024

International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023)

View full text Add to dashboard Cite

The detection data of energy consumption and carbon emissions may be affected by equipment failure, sensor error, incomplete data collection and other factors, resulting in low detection accuracy. Based on this, an online detection method of energy consumption and carbon emissions measurement based on hybrid particle swarm optimization algorithm is proposed. Analyze the measurement principles of energy consumption and carbon emissions. On this basis, collect the measurement data of energy consumption and carbon emissions in real time, use semi-supervised learning to extract the measurement operation data, calculate the Angle between the newly generated optimization solution and the reference direction vector, and use it as the attribute space of particle update, and assign all optimization target values, and use the hybrid particle swarm optimization algorithm. The on-line measurement process based on hybrid particle swarm optimization algorithm is completed. The experimental results show that the proposed method has advantages in all aspects of performance index, AUC value is higher than 0.9, detection time is lower than 8s.

show abstract

“…In response to global climate change, China has committed to achieve carbon peaking by 2030 and carbon neutrality by 2060 [5], which means that China needs to ensure sustainable economic and social development and energy security, while developing technologies and implementing policies to quickly and effectively curb carbon emissions and achieve carbon peaking in a short period of time. According to the carbon emission data of the World Bank, China's carbon emissions increased at an average annual rate of 5.98% from 1996 to 2018 [6]. As the world's largest developing country and carbon emitter [7], the task of achieving carbon peaking and carbon neutrality in China is still very difficult.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption

Wang

2022

IJERPH

View full text Add to dashboard Cite

Urban production energy consumption produces a large amount of carbon emissions, which is an important source of global warming. This study measures the quantity and intensity of carbon emissions in 30 provinces of China based on urban production energy consumption from 2005–2019, and uses the Dagum Gini coefficient, kernel density estimation, carbon emission classification and spatial econometric model to analyze the spatial and temporal distribution and driving factors of quantity and intensity of carbon emissions from China and regional production energy consumption. It was found that the growth rate of carbon emission quantity and carbon emission intensity of production energy consumption decreased year by year in each province during the study period. The imbalance of carbon emission was strong, with different degrees of increase and decrease, and there were big differences between eastern and western regions. The classification of carbon emissions differed among provinces and there was heterogeneity among regions. The quantity and intensity of carbon emissions of production energy consumption qwre affected by multiple factors, such as industrial structure. This study provides an in-depth comparison of the spatial and temporal distribution and driving factors of quantity and intensity of carbon emissions of production energy consumption across the country and regions, and provides targeted policies for carbon emission reduction across the country and regions, so as to help achieve China’s “double carbon” target quickly and effectively.

show abstract

Does new energy consumption conducive to controlling fossil energy consumption and carbon emissions?-Evidence from China

Cited by 52 publications

References 44 publications

Energy transition and pollution emissions in developing countries: are renewable energies guilty?

Energy transition and pollution emissions in developing countries: are renewable energies guilty?

Energy consumption and carbon emission measurement online detection method based on hybrid particle swarm optimization algorithm

Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption

Contact Info

Product

Resources

About