Changes in the Economic Structure and Trends in China’s Future Energy Demands

Zheng, Xunhua; Wu, Shimei; Li, Fanghua

doi:10.1080/02529203.2021.1971404

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…The metallurgical sector in European Union uses up to 33% of the total energy consumptions that comes from productions of ferrous and non-ferrous metals 2 , 4 , 5 . Based on it several strategies in many developed countries have been implemented in the metallurgical sector to reduce the usage of primary energy and materials, such as optimization of incoming energy and materials flows, adjustment of energy-related processes, and valorization of process residues 6 – 8 . Furthermore, it has been adopted renewable energies for supporting metallurgical sector and reducing environmental impacts 9 – 11 .…”

Section: Introductionmentioning

confidence: 99%

Modelling the wind potential energy for metallurgical sector in Albania

Dhoska,

Bebi,

Markja

et al. 2024

Sci Rep

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The metallurgical industry, in the context of the global energy crisis and the new European green deal, needs urgent investments on energy and resource efficiency. The metallurgical sector, which includes the production of different metals is an energy-intensive industry that requires large amounts of energy for various processes such as smelting, refining, and casting. One of the largest consumptions of energy in Albania comes from the metallurgical sector during the production of iron, steel, chromium and aluminum which corresponds respectively to three private companies called “Kurum International Ltd”, “AlbChorme Ltd” and “Everest Ltd”. During the last three years, these companies have temporary interrupted the production process due to the higher electricity price that come from imports. Based on it, our research work presents the energy efficiency analysis in the Albanian metallurgical sector by focusing on the implementation of wind energy in the above mentioned private metallurgical companies, because adding new generation capacity from Renewable Energy Sources in a context of industrial energy communities, will contribute to improve the security of supply for this industry. The Wind Balkan Atlas, New European Wind Atlas, and Wind Atlas Analysis and Application Program (WAsP) has been used to select the appropriate areas and to develop the wind potential distribution maps, as well as to select the most suitable type of wind turbine based on capacity factors. Two areas were selected close to the metallurgical sectors in the regions of “Vajkal” in Bulqizë and “Selitë e Malit” in Tirana. It has been installed the power of 9 MW for each wind farm, with a capacity factor of 40% and 36.6% respectively, and with a total annual energy production of about 60 GWh/year, these wind farms will cover about 26% of the total annual consumption of companies. Clean Energy Management Software (RETScreen Expert) was used for the detailed economic analysis and environmental impact of proposed wind farms. The economic sensitivity analysis of the proposed wind farms showed that even for the highest installation cost value of 1350 €/kW, for discount rates 5, 7, and 11%, the LCoE values are within the statistically established range for wind farms in Europe.

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Section: Introductionmentioning

confidence: 99%

Modelling the wind potential energy for metallurgical sector in Albania

Dhoska,

Bebi,

Markja

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

“…It is the second largest economy in the world and continues to be the largest contributor to world economic growth. In 2020, the total economic volume will exceed 14.6 trillion US dollars [35]. The research area of this paper includes 30 provinces (autonomous regions and municipalities) in China.…”

Section: Regions For This Studymentioning

confidence: 99%

Spatial–Temporal Evolution and Sustainable Type Division of Fishery Science and Technology Innovation Efficiency in China

Zhu

Han

2022

Sustainability

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Science and technology innovation is an important driving force to promote the development of fishery industry, and is very important to improve the quality of fishery development. In this study, the Super-SBM model was used to evaluate the fishery science and technology innovation efficiency of 30 provinces and cities in China (excluding Hong Kong, Macao, Taiwan and Tibet) from 2011 to 2020. Combined with the kernel density estimation, the spatial and temporal differentiation characteristics were analyzed. Then, from the two dimensions of investment scale and innovation efficiency, the sustainable development types of fishery science and technology innovation were classified. The results show the following: (1) From the perspective of efficiency change, the overall efficiency of fishery science and technology innovation in China increased first and then decreased during 2011–2020, but the overall efficiency level was low, and the efficiency difference between regions gradually widened, and the eastern coastal regions became the development core of fishery science and technology innovation. (2) From the perspective of spatial differentiation characteristics, there was a large gap between the coastal and inland areas in China. The high-efficiency areas were mainly concentrated in the coastal provinces and cities, such as Guangdong, Jiangsu, Shandong, Shanghai and Tianjin, showing a decreasing trend from east to west. (3) From the perspective of investment scale and innovation efficiency, the study regions can be divided into four types: leading area, breakthrough area, catch-up area and backward area. This paper mainly calculates the efficiency of fishery science and technology innovation in various regions, and divides the type areas of fishery science and technology innovation and development. According to the advantages and problems of different types of areas, different development strategies and correction measures are proposed, which can effectively improve the efficiency of resource utilization, avoid resource waste and realize the sustainable development of fishery.

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“…Non-fossil energy development has a positive externality for ecological protection (Lin and Li, 2022), and promoting energy transition and developing clean energy solutions to cope with global climate change is a common expectation target for countries worldwide. Economic development, energy consumption, and environmental pollution are strongly related (Zhang and Zhao, 2024), and as the world's largest developing country and second-largest growing economy (Kakwani et al, 2022), China's rapid development has spawned a continued expansion of energy consumption (Zheng et al, 2021) and environmental pollution control that should not be ignored. Meanwhile, to implement the Paris Agreement, the Chinese government has set ambitious targets for 2030 for carbon peaking and 2060 for carbon neutrality, meaning that China will achieve the highest emission reduction levels within the shortest period in history.…”

Section: Introductionmentioning

confidence: 99%

Synergistic impacts of clean energy demonstration policies on pollution and carbon reduction

Cui,

Sun

2024

Preprint

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The promotion of synergies between pollution and carbon reduction is a key strategic direction for building a beautiful China, with the development of clean energy being a positive step towards achieving this goal. In this study, we used China's provincial panel data from 2005 to 2020 to examine the clean energy demonstration province (CEDP) pilot as a quasi-natural experiment and utilized the synthetic control and difference-in-differences model to assess the synergistic effect of CEDP formulation on pollution and carbon reduction. We found that CEDP formulation synergistically reduced pollution and carbon and that policy implementation effectively reduced the PM2.5 emission intensity and carbon emission intensity of the pilot provinces. These were robust findings even after multiple tests. There was regional heterogeneity in the synergistic effect of CEDPs, and the policy effect of conducting the CEDP pilots was more significant in the central and western regions than in the eastern regions. Further mechanism tests showed that industrial upgrading and energy efficiency improvement were important channels for CEDP formulation to achieve the synergistic effect of pollution and carbon reduction. We proposed to enhance the evaluation system for CEDP formulation and implementation, systematically expand the coverage of CEDP pilots, and reinforce the mechanism for industrial upgrading and energy efficiency improvement.

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Changes in the Economic Structure and Trends in China’s Future Energy Demands

Cited by 4 publications

References 5 publications

Modelling the wind potential energy for metallurgical sector in Albania

Modelling the wind potential energy for metallurgical sector in Albania

Spatial–Temporal Evolution and Sustainable Type Division of Fishery Science and Technology Innovation Efficiency in China

Synergistic impacts of clean energy demonstration policies on pollution and carbon reduction

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