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Dual Control of Carbon Emissions and High-Quality Economic Development
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Dual Control of Carbon Emissions and High-Quality Economic Development

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

Deadline for manuscript submissions: 28 November 2024 | Viewed by 5411

Special Issue Editors

Prof. Dr. Yu Hao

E-Mail Website
Guest Editor
School of Economics and Management, Beijing Institute of Technology, Beijing 100081, China
Interests: macroeconomics; energy economics; environmental policy
Special Issues, Collections and Topics in MDPI journals
Dr. Zhiyuan Gao

E-Mail Website
Co-Guest Editor
School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing 102627, China
Interests: energy environment and low-carbon development; enterprise development and management innovation

Special Issue Information

Dear Colleagues,

Achieving peak carbon neutrality is a broad and deep economic and social systemic transformation, the essence of which is to promote the transformation of the growth mode, the transformation of the energy system and the transformation of lifestyles. It requires a shift in the mode of social development from resource-consuming extensive development to an energy-saving and emission-reducing green development path.

Although the dual control of energy consumption (total energy consumption and energy intensity) is an important measure to cope with increasing resource scarcity and severe environmental pollution, and to reduce pollutant and greenhouse gas emissions at source, it can also force industrial structure, energy structure adjustment and upgrading, and accelerate high-quality development. However, it does not distinguish between types of energy use and restricts the use of fossil energy while limiting the development of renewable energy. Promoting the gradual shift from dual control of energy consumption to dual control of carbon emissions (total carbon emissions and carbon intensity) is conducive to integrating economic development and carbon emission reduction, promoting energy transformation, enhancing the intrinsic motivation of energy transformation, and ensuring the realization of carbon neutrality while strongly supporting economic development.

The purpose of this special issue is to discuss how high-quality economic development can be achieved under the dual control of carbon emissions and to stimulate future academic debates in this field.

Examples of essay topics include but are not limited to:

  • The synergistic effect of dual control of energy consumption and pollution and carbon reduction
  • Energy transition and carbon reduction targets
  • Energy policy and economic research under the dual carbon target
  • Impact assessment of energy and environmental policies
  • Green innovation in the context of energy, environment and climate change
  • Research on the economics of energy, environment and climate change
  • Study on energy transition pathways and policies under the vision of carbon neutrality
  • Economics of energy, environment and climate change in the context of the digital economy.

Prof. Dr. Yu Hao
Guest Editor

Dr. Zhiyuan Gao
Co-Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Published Papers (6 papers)

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Research

29 pages, 3364 KiB  
Article
Breaking the CO2 Gridlock: Can Renewables Lead the Way for the OECD?
by Wang Jie and Rabnawaz Khan
Energies 2024, 17(17), 4511; https://doi.org/10.3390/en17174511 - 9 Sep 2024
Viewed by 381
Abstract
The use of low-carbon energy in power grids is essential for minimizing negative effects on the environment. Energy consumption causes environmental damage to the OECD’s economy. This study aims to investigate the effect of energy consumption, population, and GDP on CO2 emissions [...] Read more.
The use of low-carbon energy in power grids is essential for minimizing negative effects on the environment. Energy consumption causes environmental damage to the OECD’s economy. This study aims to investigate the effect of energy consumption, population, and GDP on CO2 emissions using panel data from 17 OECD countries over the period 2000–2023. We use regression approaches, such as partial least squares and principal components, to study the effects of GDP, urban and total population, oil and nuclear use, renewable energy, and industrialization on CO2 emissions. The regression process in this study reduces the data to a two-dimensional representation using a stochastic model and estimation techniques. The findings of this empirical investigation indicate that the United States, Canada, France, Germany, Italy, Korea, Mexico, and the United Kingdom exhibit higher levels of primary energy consumption in comparison to value-added sectors, renewable–geothermal energy, and nuclear energy. We determined the effects of CO2 emissions, GDP, and energy consumption by considering these as the most significant elements. This has made it possible to reduce CO2 emissions by focusing one’s attention and energy on the development of novel technologies, the use of renewable energy sources, and the execution of strategic plans. Attracting increasing attention are technological shifts that deliver enormous quantities of clean energy to combat climate change. Findings from this study can help environmentalists and policymakers better understand the role of structural change and energy consumption processes in the globalization process. Full article
(This article belongs to the Special Issue Dual Control of Carbon Emissions and High-Quality Economic Development)
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28 pages, 2416 KiB  
Article
Research on the Coordinated Trading Mechanism of Demand-Side Resources and Shared Energy Storage Based on a System Optimization Model
by Xiuping Li, Li Yang, Yi Xu, Xiaohu Luo, Xi Yang, Jugang Fang and Yuhao Lu
Energies 2024, 17(14), 3378; https://doi.org/10.3390/en17143378 - 10 Jul 2024
Viewed by 499
Abstract
With the development of the economy and society, the importance of a secure and stable electricity supply continues to increase. However, the power grid is facing the test of excess installed capacity, the waste of renewable energy, and a low comprehensive utilization rate. [...] Read more.
With the development of the economy and society, the importance of a secure and stable electricity supply continues to increase. However, the power grid is facing the test of excess installed capacity, the waste of renewable energy, and a low comprehensive utilization rate. This problem stems from the inconsistent peak–valley differences between power production and consumption, and the lack of clear electricity price signals, which disrupts the safe and stable operation of the power market. This paper combines the interactive transactions among clean energy power generation companies, users, and energy storage, explores how the system optimization model can be reflected in the power market through regulatory measures, and formulates the optimal output scheme of the system under the constraints of clean energy power generation forecast data, user base load forecast data, demand-side resource regulation ability, and energy storage system regulation ability to achieve the goals of comprehensive clean energy power consumption and minimum cost for users. A comprehensive analysis of the proposed model was conducted using actual data from a certain province in China, the results show that the consumption of clean energy will increase by 3% to full consumption and the total cost of users will be 32% lower than that of time-of-use (TOU) power prices, which proves the potential of the proposed joint optimization model in absorbing clean energy and the effectiveness of the market mechanism. Full article
(This article belongs to the Special Issue Dual Control of Carbon Emissions and High-Quality Economic Development)
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28 pages, 1585 KiB  
Article
Renewable Adoption, Energy Reliance, and CO2 Emissions: A Comparison of Developed and Developing Economies
by Zhaoming Bi, Renyu Guo and Rabnawaz Khan
Energies 2024, 17(13), 3111; https://doi.org/10.3390/en17133111 - 24 Jun 2024
Cited by 1 | Viewed by 881
Abstract
Emerging economies and ecosystems rely heavily on fossil fuels, and a country’s energy dependence is a strong indicator of its reliance on foreign suppliers. This study investigates the impact of energy dependence on energy intensity, CO2 emission intensity, and the exploitation of [...] Read more.
Emerging economies and ecosystems rely heavily on fossil fuels, and a country’s energy dependence is a strong indicator of its reliance on foreign suppliers. This study investigates the impact of energy dependence on energy intensity, CO2 emission intensity, and the exploitation of renewable resources in 35 developing and 20 developed nations. It also explores the correlation between renewable energy, GDP growth, and CO2 emissions. This study utilizes the Generalized Linear Model (GLM) and the Robust Least Squares (RLS) method to investigate the negative correlation between renewable energy and policymakers in established and emerging economies. It also employs distinctive linear panel estimation techniques spanning from 1970 to 2022. This study examines the impact of renewable energy on economic growth, energy consumption, and CO2 emissions across four continents. Developing countries see an increase in per capita CO2 emissions when their utilization of renewable energy exceeds their capacity. Even with the introduction of several proxies for renewable energy use using changed techniques, this discovery remains valid. Moreover, this is particularly crucial for industrialized nations with well-established institutions. Energy dependency has increased the energy and carbon intensity needed for expansion across all components, which is surprising. The regional study discovered a spillover impact in most regions, indicating that the consequences of energy reliance are similar in neighboring countries. Regional energy exchange unions play a vital role in reducing the adverse environmental and economic impacts of energy dependence, which is essential for the growth of the renewable energy sector and the decrease in greenhouse gas emissions. Undeveloped countries need to enhance their investment in research and development to advance technologically. Full article
(This article belongs to the Special Issue Dual Control of Carbon Emissions and High-Quality Economic Development)
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20 pages, 4824 KiB  
Article
Multi-Objective Optimal Scheduling of Microgrids Based on Improved Particle Swarm Algorithm
by Zhong Guan, Hui Wang, Zhi Li, Xiaohu Luo, Xi Yang, Jugang Fang and Qiang Zhao
Energies 2024, 17(7), 1760; https://doi.org/10.3390/en17071760 - 7 Apr 2024
Cited by 3 | Viewed by 1113
Abstract
Microgrid optimization scheduling, as a crucial part of smart grid optimization, plays a significant role in reducing energy consumption and environmental pollution. The development goals of microgrids not only aim to meet the basic demands of electricity supply but also to enhance economic [...] Read more.
Microgrid optimization scheduling, as a crucial part of smart grid optimization, plays a significant role in reducing energy consumption and environmental pollution. The development goals of microgrids not only aim to meet the basic demands of electricity supply but also to enhance economic benefits and environmental protection. In this regard, a multi-objective optimization scheduling model for microgrids in grid-connected mode is proposed, which comprehensively considers the operational costs and environmental protection costs of microgrid systems. This model also incorporates improvements to the traditional particle swarm optimization (PSO) algorithm by considering inertia factors and particle adaptive mutation, and it utilizes the improved algorithm to solve the optimization model. Simulation results demonstrate that this model can effectively reduce electricity costs for users and environmental pollution, promoting the optimized operation of microgrids and verifying the superior performance of the improved PSO algorithm. After algorithmic improvements, the optimal total cost achieved was CNY 836.23, representing a decrease from the pre-improvement optimal value of CNY 850. Full article
(This article belongs to the Special Issue Dual Control of Carbon Emissions and High-Quality Economic Development)
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16 pages, 10503 KiB  
Article
Embodied Carbon Transfer in China’s Bilateral Trade with Belt and Road Countries from the Perspective of Global Value Chains
by Mingyin Zhao, Yadong Ning, Shukuan Bai and Boya Zhang
Energies 2024, 17(4), 969; https://doi.org/10.3390/en17040969 - 19 Feb 2024
Viewed by 965
Abstract
In the context of global value chains (GVCs), the impact of the Belt and Road Initiative (BRI) on China’s bilateral trade with Belt and Road countries (BRCs) is controversial. This study constructed a GVC accounting framework based on a multiregional input–output model, aiming [...] Read more.
In the context of global value chains (GVCs), the impact of the Belt and Road Initiative (BRI) on China’s bilateral trade with Belt and Road countries (BRCs) is controversial. This study constructed a GVC accounting framework based on a multiregional input–output model, aiming to clarify the trends and transfer characteristics of the value added (VA) and the embodied carbon emissions (ECEs) in China–BRCs bilateral trade from 2000 to 2018 at the overall country, Belt and Road region (BRR), and typical country levels. The relevant results are threefold. (1) At the overall country level, the BRCs VA and ECEs imports and exports have shown overall increasing trends. (2) Most BRRs are net ECE exporters to China. Southeast Asia and Northeast Asia are the main ECEs destinations and sources. (3) In China–typical BRCs bilateral trade, China is a net ECEs exporter to most typical BRCs, and the net ECE transfers through route 1 (onefold value chain) are all positive, implying that route 1 can reduce ECEs in BRCs. These findings can help formulate policies and measures to reduce carbon emissions and provide a scientific basis for realizing the coordinated development of carbon emission reduction and economy in China and BRCs. Full article
(This article belongs to the Special Issue Dual Control of Carbon Emissions and High-Quality Economic Development)
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15 pages, 838 KiB  
Article
Estimation and Analysis of Carbon Emission Efficiency in Chinese Industry and Its Influencing Factors—Evidence from the Micro Level
by Xinna Zhao, Li Guo, Zhiyuan Gao and Yu Hao
Energies 2024, 17(4), 917; https://doi.org/10.3390/en17040917 - 16 Feb 2024
Cited by 2 | Viewed by 780
Abstract
A major goal of the “14th Five-Year Plan” phase is to promote the green transformation of industrial enterprises to address the ‘dual carbon’ challenge. Utilizing the China Industrial Enterprises Database and the Polluting Enterprises Database, this paper calculates the carbon emissions of Chinese [...] Read more.
A major goal of the “14th Five-Year Plan” phase is to promote the green transformation of industrial enterprises to address the ‘dual carbon’ challenge. Utilizing the China Industrial Enterprises Database and the Polluting Enterprises Database, this paper calculates the carbon emissions of Chinese industrial enterprises from 2001 to 2010 at the micro level. It presents an analysis of the heterogeneity of carbon emission efficiency (TPI) in industrial enterprises, as well as the factors influencing corporate TPI. This study finds that enterprises within a subdivided industry exhibit heterogeneous levels of TPI, with carbon emissions largely affected by the structure of energy consumption. The researchers suggest accelerating the transition of industrial enterprises to green technology and argue that carbon emission policies should shift from controlling direct total targets to strengthening market-oriented policy tools. Carbon reduction targets should be more stringent for enterprises with lower TPI, considering the heterogeneity among enterprises. To meet the challenges of emission reduction, industrial enterprises are encouraged to actively reform their energy consumption structure. Government policies should aim to reduce clean energy costs and encourage the use of clean energy by industrial enterprises. Full article
(This article belongs to the Special Issue Dual Control of Carbon Emissions and High-Quality Economic Development)
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