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Low-Carbon Development, Energiewende and Digitalization

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".

Deadline for manuscript submissions: closed (10 June 2025) | Viewed by 764

Special Issue Editor


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Guest Editor
School of Management, Guizhou University, Guiyang 550025, China
Interests: modeling of energy and environmental policies; energy finance and carbon finance; big data and regional governance
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the growing pressure of global energy transformation and environmental protection, the application of digital technologies in the energy sector has become a key driver for efficient and clean energy production and consumption. Digital energy not only optimizes the processes of energy production, transmission, and consumption but also provides strong technical support for achieving low-carbon goals. Through digital tools, intelligent energy system management can be realized, energy efficiency can be improved, and carbon emissions can be reduced, thereby promoting the green transformation and sustainable development of the economy.

Against this backdrop, this Special Issue aims to respond to the national strategies for digital economy and "dual carbon" development. It focuses on cutting-edge research and innovative practices in the field of digital energy and low-carbon development. This Special Issue will explore how digital technologies can enhance energy efficiency and drive green transformation, with a focus on pioneering technological achievements, regional governance innovations, and exemplary case studies. By summarizing successful experiences both domestically and internationally, it aims to support policymakers and industry practitioners in providing effective pathways to achieve carbon peak and carbon neutrality goals, thereby promoting high-quality and sustainable economic development.

Furthermore, this Special Issue will examine the potential of digital technologies in driving the green transformation of the energy industry. It will explore how digital tools can optimize energy supply chains, reduce resource waste, and lower carbon emissions, offering new solutions for the global sustainable energy development agenda.

Dr. Yujie Hu
Guest Editor

Manuscript Submission Information

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Keywords

  • global energy transition
  • digital technologies
  • digital energy
  • low-carbon goals
  • energy efficiency
  • green transformation
  • sustainable development
  • intelligent management.

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Published Papers (2 papers)

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Research

20 pages, 17185 KiB  
Article
Spatiotemporal Variations and Driving Factors of Carbon Emissions Related to Energy Consumption in the Construction Industry of China
by Yue Zhang, Min Li, Jiazhen Sun, Jie Liu, Yinsheng Wang, Li Li and Xin Xiong
Energies 2025, 18(14), 3700; https://doi.org/10.3390/en18143700 - 14 Jul 2025
Viewed by 121
Abstract
As a major contributor to energy consumption and carbon emissions, the low-carbon transformation of the construction industry is crucial for China to achieve its established carbon-emission reduction targets. Therefore, a systematic analysis of the spatial and temporal evolution trends and key drivers of [...] Read more.
As a major contributor to energy consumption and carbon emissions, the low-carbon transformation of the construction industry is crucial for China to achieve its established carbon-emission reduction targets. Therefore, a systematic analysis of the spatial and temporal evolution trends and key drivers of carbon emissions in the construction industry is an important reference for the formulation of emission reduction policies in the industry and the promotion of green and low-carbon development. This study first estimated carbon emissions from direct and indirect energy consumption in China’s construction industry. Spatial and temporal variations in emissions were then analyzed using spatial autocorrelation and kernel density methods. Furthermore, an improved logarithmic mean Divisia index decomposition model, tailored to the characteristics of the construction industry, was applied to quantify the key driving factors. The results reveal that total carbon emissions follow an inverted U-shaped trend, with indirect carbon emissions—mainly from the production of cement and steel—being the dominant contributors. Emissions display a spatially uneven pattern: high in the east and south, low in the west and north, with the high-emission zone gradually expanding from the east to the central regions. Marked regional differences also exist in the evolution of emission intensity. Output intensity and energy intensity are identified as primary drivers of emissions, with their impact particularly prominent in the eastern region. These findings provide a quantitative basis and theoretical support for developing region-specific emission reduction policies, advancing the green and high-quality development of China’s construction industry. Full article
(This article belongs to the Special Issue Low-Carbon Development, Energiewende and Digitalization)
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26 pages, 1031 KiB  
Article
Exploring the Role of Digital Economy in Energy Optimization of Manufacturing Industry Under the Constraint of Carbon Reduction? Based on Spatial Panel Threshold Hybrid Model
by Lingyao Wang, Taofeng Wu and Fangrong Ren
Energies 2025, 18(11), 2717; https://doi.org/10.3390/en18112717 - 23 May 2025
Viewed by 355
Abstract
The development of the digital economy provides important opportunities and conditions for China to achieve the goal of carbon peak and carbon neutrality. Based on panel data from 30 provinces in mainland China from 2016 to 2022, this research investigates the spatial spillover [...] Read more.
The development of the digital economy provides important opportunities and conditions for China to achieve the goal of carbon peak and carbon neutrality. Based on panel data from 30 provinces in mainland China from 2016 to 2022, this research investigates the spatial spillover effect and nonlinear impact of the digital economy on the energy optimization of the manufacturing industry using the spatial econometric and panel threshold model. It is found that both the digital economy and energy optimization of the manufacturing industry have a significant positive spatial correlation. The spatial econometric models under different weights all illustrate that the regional digital economy has not significantly promoted energy optimization of the manufacturing industry in a local region but produced a significant positive influence on the energy optimization of the manufacturing industry in neighboring regions. In addition, the impact of the digital economy on the energy optimization of the manufacturing industry presents a significant single threshold effect. With the improvement of digital economy, energy optimization of manufacturing industry has a U-shaped change trend. This study integrates the digital economy and manufacturing energy optimization into a cohesive analytical framework, elucidating the mechanisms through which the digital economy influences the restructuring of manufacturing energy and enhances energy efficiency while providing innovative pathways and theoretical support for advancing energy efficiency under carbon emission reduction constraints. Full article
(This article belongs to the Special Issue Low-Carbon Development, Energiewende and Digitalization)
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