Assessing the contribution of optimizing energy mix to China’s carbon peaking

Wang, Rui; Han, Huadan; Liu, Liang; Zhao, Jingfei

doi:10.1007/s11356-022-23451-5

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…China's demand for energy will undoubtedly continue to grow in the context of high-quality economic development, and the stimulation of the economy needs to be accompanied by a focus on actions to reduce carbon dioxide emissions and the development of renewable energy sources [34]. Empirical studies from China have proven that optimizing energy structure [35,36] and energy resource allocation [37] has a positive effect on promoting the high-quality development of China's economy. Therefore, we propose hypotheses H3 and H4: Hypothesis 3 (H3): Clean energy consumption can significantly contribute to high-quality economic development.…”

Section: Hypothesis 2 (H2)mentioning

confidence: 99%

Digital Economy, Clean Energy Consumption, and High-Quality Economic Development: The Case of China

Ren,

Zhang

2023

Sustainability

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The digital economy has become an important force driving China’s socio-economic development. From the perspective of sustainable energy development and based on China’s provincial panel data from 2011 to 2020, this paper probes into the relationship and transmission mechanism of digital economy, clean energy consumption, and high-quality economic development and utilizes the spatial Durbin model and intermediary effect model to carry out empirical tests on the paths of their influence. The results indicate that (1) the digital economy has a significant promoting effect and a positive spatial spillover effect on high-quality economic development, and its influence has obvious spatial heterogeneity; (2) the intermediary effect model validates that clean energy consumption is a mediating variable of digital economy and high-quality economy development, and its conduction effect also has obvious spatial heterogeneity. The research conclusions provide a new perspective and empirical evidence for understanding the relationship between digital economy and high-quality economic development as well as policy implications for the realization of digital transformation and low-carbon development goals.

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Section: Hypothesis 2 (H2)mentioning

confidence: 99%

Digital Economy, Clean Energy Consumption, and High-Quality Economic Development: The Case of China

Ren,

Zhang

2023

Sustainability

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“…As the world's top carbon emitter, the peaking time, level of carbon attainment, and the time of neutralisation in China have become the focus of global attention [6,7]. In order to achieve the "double carbon" target, governments at all levels have gradually focused on the relationship between carbon peaking and carbon neutrality, concluding that it is necessary to peak as early as possible to reduce the pressure of carbon neutrality and to achieve carbon peaking at a lower cost on the other hand [8]. Therefore, predicting the time and peak of carbon emission attainment and modelling the carbon reduction pathway become the basis for formulating carbon reduction policies.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios—A Case Study of Hu-Bao-O-Yu Urban Agglomeration

Ning

Zhang

et al. 2023

IJERPH

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The Hu-Bao-O-Yu urban agglomeration is an important energy exporting and high-end chemical base in China, and is an important source of carbon emissions in China. The early achievement of peak carbon emissions in this region is particularly crucial to achieving the national carbon emission reduction targets. However, there is a lack of multi-factor system dynamics analysis of resource-dependent urban agglomerations in Northwest China, as most studies have focused on single or static aspects of developed urban agglomerations. This paper analyses the relationship between carbon emissions and their influencing factors, constructs a carbon emission system dynamics model for the Hu-Bao-O-Yu urban agglomeration, and sets up different single regulation and comprehensive regulation scenarios to simulate and predict the carbon peak time, peak value, and emission reduction potential of each city and urban agglomeration under different scenarios. The results show that: (1) Hohhot and Baotou are expected to reach peak carbon by 2033 and 2031 respectively, under the baseline scenario, while other regions and the urban agglomeration will not be able to reach peak carbon by 2035. (2) Under single regulation scenarios, the effect of factors other than the energy consumption varies across cities, but the energy consumption and environmental protection input are the main factors affecting carbon emissions in the urban agglomeration. (3) A combination of the economic growth, industrial structure, energy policy, environmental protection, and technology investment is the best measure to achieve carbon peaking and enhance the carbon emission reduction in each region as soon as possible. In the future, we need to coordinate the economic development, energy structure optimisation and transformation, low-carbon transformation of industry, strengthen research on carbon sequestration technology, and further increase the investment in environmental protection to make the Hu-Bao-O-Yu urban agglomeration a resource-saving urban agglomeration with an optimal emission reduction.

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Decomposition of drivers and identification of decoupling states for the evolution of carbon emissions from energy consumption in China

Wang

Zhang

et al. 2023

Environ Sci Pollut Res

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Assessing the contribution of optimizing energy mix to China’s carbon peaking

Cited by 6 publications

References 32 publications

Digital Economy, Clean Energy Consumption, and High-Quality Economic Development: The Case of China

Digital Economy, Clean Energy Consumption, and High-Quality Economic Development: The Case of China

Analysis of Carbon Emission Projections and Reduction Potential of Resource-Dependent Urban Agglomerations from the Perspective of Multiple Scenarios—A Case Study of Hu-Bao-O-Yu Urban Agglomeration

Decomposition of drivers and identification of decoupling states for the evolution of carbon emissions from energy consumption in China

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