Influencing Factors of New Energy Development in China: Based on ARDL Cointegration and Granger Causality Analysis

Xue, Fan; Feng, Xin; Liu, Jing

doi:10.3389/fenrg.2021.718565

Cited by 5 publications

(4 citation statements)

References 48 publications

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“…Others focus on the factors of energy structure transformation, such as consumer preference, energy price, resource endowment, economic growth, energy consumption and carbon emission constraints (Ren et al, 2022a). According to demand theory, energy price and resource endowment have a significant impact on energy consumption demand (Xue et al, 2021;Yang et al, 2021). Then what has to be considered in the process of energy transition is the high cost of new energy popularization (Marques and Fuinhas, 2012), which requires policymakers to keep a balance between the absorbing cost of energy transition and economic growth.…”

Section: Energy Structure Transformationmentioning

confidence: 99%

How to promote the energy transition? —An analysis based on the size and technology effect in new energy industry

Bian

Chen²,

Gao³

et al. 2023

Front. Energy Res.

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This paper attempts to explore the dynamic relationship between new energy industry development and energy structure transformation in China. Based on the real option model and stochastic frontier analysis (SFA), the development scale and technical level of the new energy industry are measured at the provincial level. The eastern region is in the lead, but there has been a certain degree of technological efficiency retreat, especially in Liaoning. The new energy industry in the central region has developed rapidly due to the deepening of the industrialization process. With the aid of PVAR model, impulse response function and variance decomposition, the results show that there exists a bidirectional dynamic relationship between the new energy industry and energy structure. In other words, the development of the new energy industry and the energy transition can be mutually predicted. Specifically, technology effect has a positive continuous and dramatic influence on the transformation of energy structure. In turn, the energy transition first elicits a response to size effects, but has a long-term impact on technology effects. This implies that the new energy industry will usher in scale expansion at the early stage of energy transition. It is worth noting that scale expansion will not always accelerate the transition process. At that time, technology played a long-term and central role. Therefore, reasonable expansion of new energy industry scale and efforts to develop new energy technology are important measures to ensure the orderly energy transition.

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Section: Energy Structure Transformationmentioning

confidence: 99%

How to promote the energy transition? —An analysis based on the size and technology effect in new energy industry

Bian

Chen²,

Gao³

et al. 2023

Front. Energy Res.

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“…Most of China's regional carbon emissions show a significant growth momentum, and provinces such as Shandong, Shanxi and Hebei have a large volume of carbon emissions and a fast-growth trend of carbon emissions [12][13][14][15]. There are obvious regional characteristics that carbon emissions in China are higher in developed eastern provinces than in western provinces and higher in northern industrial provinces than in southern provinces [16][17][18][19]. Previous regional research focused on the more economically developed provinces (regions and cities) such as Beijing, Shanghai and Jiangsu and constructed regional carbon peaking models from factors such as population size, energy structure, investment efficiency and technological innovation [20][21][22][23][24].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Over time pollutants can have substantial impacts on the natural environment and human society if they are not treated in a timely manner. The external environmental cost is used as one of the objective functions in the projection of energy consumption structure under the cost constraint, and its expression is as Equation (19).…”

Section: Objective Function Designmentioning

confidence: 99%

The Optimal Path for China to Achieve the “Dual Carbon” Target from the Perspective of Energy Structure Optimization

Jiang

Yin

2023

Sustainability

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Exploring the path of energy structure optimization to reduce carbon emissions and achieve a carbon peak has important policy implications for achieving the “Dual Carbon” target. To this end, this paper explores the optimal path for China to achieve the “dual carbon” target from the perspective of energy structure optimization in three steps: (1) we forecast China’s carbon emissions and carbon intensity during 2024–2035 based on a combined forecasting model; (2) we simulate the development of energy consumption and carbon emissions under the “economic development scenario-energy structure scenario” with the help of Markov chain forecasting model; (3) we construct a multi-attribute decision model to account for the above elements as variables to calculate a composite index to analyze the optimal path for China to achieve “Dual Carbon” target under different decision preferences. It is found that (1) potential negative effects caused by COVID-19 are not as serious as reported; (2) only the scenario with low-speed economic growth and effective policies guiding, which doesn’t follow laws of social development, can contribute to reaching carbon peaking by 2030 while maintaining a high-quality carbon intensity; (3) the optimal path that scenario with middle-speed economic growth and strict cost control is a sub-optimal choice subject to realities; (4) technologies innovations in green or low-carbon fields are needed to accelerate energy consumption structure optimization.

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“…Compared with a traditional power system that relies entirely on the grid for power supply, the system containing renewable energy is more economical [1]. By increasing the installation capacity for renewable energy and improving the conversion efficiency of power generation, the rapid development of renewable energy can be achieved [2]. In recent years, with the rapid development of renewable energy power, its power generation efficiency is also gradually improving [3].…”

Section: Introductionmentioning

confidence: 99%

Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations

Zhou

Zhang

Dan³

et al. 2022

Energies

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In recent years, renewable energy has received extensive attention due to its advantages of sustainability, economy, and environmental protection. However, with the rapid development of renewable energy, the problem of curtailment is becoming increasingly serious. Studying the calculation method and establishing a quantitative evaluation system of renewable energy accommodation capacity are important means to solve this problem. This paper comprehensively considers the factors affecting the accommodation of renewable energy, establishes a accommodation calculation model with the maximum accommodation of renewable energy as the optimization target based on the time series production simulation method, and uses the hybrid particle swarm optimization (PSO) algorithm to solve it. The model is verified with historical data such as load, photovoltaic (PV), and wind power in a certain region throughout the year. The experimental results verify the rationality of the renewable-energy accommodation-capacity model proposed in this paper and the correctness of the theoretical analysis. The calculation results have important reference and guiding significance for the operation and control of power-grid planning and dispatching.

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Influencing Factors of New Energy Development in China: Based on ARDL Cointegration and Granger Causality Analysis

Cited by 5 publications

References 48 publications

How to promote the energy transition? —An analysis based on the size and technology effect in new energy industry

How to promote the energy transition? —An analysis based on the size and technology effect in new energy industry

The Optimal Path for China to Achieve the “Dual Carbon” Target from the Perspective of Energy Structure Optimization

Research on Renewable-Energy Accommodation-Capability Evaluation Based on Time-Series Production Simulations

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