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Regional Carbon Dioxide Emission Market

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 5433

Special Issue Editors


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Guest Editor
School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
Interests: sustainable management; carbon emission reduction; air pollution control; policy for new energy vehicle; environmental policy

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Guest Editor
Australia-China Relations Institute, University of Technology Sydney, Sydney 2007, Australia
Interests: energy transition (economics and policy); climate change economics and policy; environmental policy; the chinese economy
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
Interests: energy economics and management; sustaintability; global supply chains

Special Issue Information

Dear Colleagues,

The carbon market is an important tool to address the problem of global warming caused by large amounts of carbon dioxide emissions. It controls the carbon dioxide emissions of sectors by formulating carbon emission quotas and makes full use of market mechanisms to trade emissions rights. Today, many countries have introduced carbon markets to reconcile the contradiction between environmental issues and low-carbon economic development. To date, more than 70 countries and regions around the world have set up carbon markets. However, different countries and regions have set up carbon markets with different rules. In the European Union, carbon markets cover sectors such as electricity, manufacturing, and domestic flights within the EU economy. In California, the industrial sector is given free carbon allowances to reduce the pressure on companies to abate emissions, while the electricity sector is given free allowances to curb excessive electricity price increases. In China, companies are currently encouraged to voluntarily participate in the carbon market. The restricted enterprises can obtain emissions rights by auctioning carbon allowances and choosing to use the auctioned allowances for their own offset or trade. Due to the differences in the emission reduction costs and emission reduction technologies of various companies in the market, the demand for carbon emission rights differs. Companies with excellent emission reduction capabilities can sell their additional carbon allowances to obtain profits, while companies with inferior emission reductions can purchase carbon allowances in the carbon market to reduce their production costs. In this way, the carbon market can achieve double emission reduction benefits through carbon pricing. On the one hand, the state can make public investments through the proceeds obtained from the auction to support enterprises' green innovation for energy saving and emission reduction. On the other hand, the restricted enterprises will strengthen the green technology upgrade and reduce the CO2 emissions in the production process, thus further realizing carbon emission reduction in the carbon trading process.

This Special Issue, entitled Regional Carbon Dioxide Emissions Markets, is dedicated to the design, regulation, and role of regional carbon markets. In this sense, we encourage original submissions, including review articles as well as theoretical and empirical contributions, related to the the following themes:

  • How should regional carbon quotas be allocated in the light of current social development requirements?
  • Should quotas be distributed free of charge or partially charged for different regions?
  • How can we design trading systems for carbon markets for different regions and different stages?
  • Which industries should the carbon trading market focus on?
  • The possible impacts on social and economic development in a scenario where carbon trading and carbon tax are implemented.
  • How can we establish a cross-regional carbon emissions trading market?
  • How can we regulate the carbon trading market?
  • How can we manage the data of carbon trading markets?
  • How can green finance promote the development of the carbon market in the context of carbon neutrality?
  • How can regional carbon trading promote the harmonious development of society, economy, and environment in the context of carbon neutrality?
  • Other topics related to carbon emission reduction.

Prof. Dr. Feng Dong
Prof. Dr. Xunpeng Shi
Prof. Dr. Hui Wang
Guest Editors

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. Sustainability 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 2400 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.

Keywords

  • peak carbon emissions
  • carbon neutrality
  • carbon maket
  • regional carbon quotas
  • carbon tax

Published Papers (3 papers)

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Research

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12 pages, 1022 KiB  
Article
Natural Disasters, Economic Growth, and Carbon Emissions: Empirical Analysis of Chinese Data Based on a Nonlinear Auto-Regressive Distributed Lag Model
by Ming Cao, Yiming Xu, Yuanhong Sun and Dingbang Cang
Sustainability 2023, 15(21), 15210; https://doi.org/10.3390/su152115210 - 24 Oct 2023
Cited by 1 | Viewed by 844
Abstract
China has a high frequency of natural disasters and it has become the economy with the largest carbon emissions in recent years. In this study, we mainly investigated the relationships between carbon emissions and natural disaster losses in China, as well as considering [...] Read more.
China has a high frequency of natural disasters and it has become the economy with the largest carbon emissions in recent years. In this study, we mainly investigated the relationships between carbon emissions and natural disaster losses in China, as well as considering important factors such as economic growth and new energy consumption. Time series data for China from 2000 to 2020 were selected and based on the nonlinear auto-regressive distributed lag model method, a short-term error correction model and long-term co-integration relationship model were obtained between carbon emissions and their related factors. The results showed that in the long run, there is a significant nonlinear relationship between carbon emissions, new energy consumption and direct economic losses from natural disasters. There is a significant U-shaped relationship between natural disasters and carbon emissions, that is, natural disaster losses will significantly inhibit carbon emissions before they are below a certain threshold, but fewer natural disaster losses will increase carbon emissions. On the contrary, there is an inverted U-shaped relationship between new energy consumption and carbon emissions. When new energy consumption exceeds a certain threshold, it will help carbon peak early. In the short term, the impact of natural disasters on carbon emissions in the current period is significantly positive and higher than that in the lagged period, but the impact of its square term is negative. The short-term error correction model coefficient is −0.6467, and the error will be corrected when the short-term volatility deviates from the long-term equilibrium. These results suggest that attention should be paid to reducing disaster losses and the low-carbon reconstruction path for natural disasters, as well as continuously improving the level of new energy utilization, accelerating the pace of energy substitution, and promoting economic transformation for achieving “carbon peaking” in China. Full article
(This article belongs to the Special Issue Regional Carbon Dioxide Emission Market)
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27 pages, 5390 KiB  
Article
Spatial-Temporal Evolution and Cross-Industry Synergy of Carbon Emissions: Evidence from Key Industries in the City in Jiangsu Province, China
by Feng Dong, Guoqing Li, Yajie Liu, Qing Xu and Caixia Li
Sustainability 2023, 15(5), 3881; https://doi.org/10.3390/su15053881 - 21 Feb 2023
Viewed by 1449
Abstract
Cross-industry synergistic emission reduction has become a new strategy for achieving a carbon emissions peak and carbon neutrality. To explore the typical spatial distribution and cross-industry synergy effect of carbon emissions in key industries, this paper analyzes the carbon emissions of coal and [...] Read more.
Cross-industry synergistic emission reduction has become a new strategy for achieving a carbon emissions peak and carbon neutrality. To explore the typical spatial distribution and cross-industry synergy effect of carbon emissions in key industries, this paper analyzes the carbon emissions of coal and power industries in Jiangsu Province from 2006 to 2020 using the empirical orthogonal function (EOF) and a panel vector autoregressive (PVAR) model. The results show that: (1) The distribution of coal resources determines the distribution of carbon emissions in the coal industry. Carbon emissions in the power industry have two typical distributions: consistent changes in cities and a “south-north” inverse phase, with a cumulative variance contribution rate of 86.74%. (2) The impulse response of carbon emissions from the coal industry to the power industry is >0 in the first period. There is a synergistic relationship of carbon emissions from the energy consumption side to the energy production side. (3) The shock effect of carbon emissions on economic development is >0. In resource-based cities, economic development explains about 2% of carbon emission fluctuations in the coal industry and 9.9% in the power industry, which is only 2% in non-resource-based cities. Carbon emissions would promote economic development. However, the impact of economic development on them varies significantly by industry and region. These findings can provide scientific support for developing differentiated measures to carbon emissions reduction and serve as an important reference role for other regions to promote collaborative carbon emission reduction in key industries. Full article
(This article belongs to the Special Issue Regional Carbon Dioxide Emission Market)
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Review

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14 pages, 2193 KiB  
Review
A Review on the CO2 Emission Reduction Scheme and Countermeasures in China’s Energy and Power Industry under the Background of Carbon Peak
by Bin Zheng, Sheng Wang and Jingxin Xu
Sustainability 2022, 14(2), 879; https://doi.org/10.3390/su14020879 - 13 Jan 2022
Cited by 15 | Viewed by 2128
Abstract
To reach the peak of carbon emission in China, the energy and power industry has the most arduous task and the heaviest responsibility. It should not only ensure efficient economic development, but also complete the arduous task of energy conservation and emission reduction. [...] Read more.
To reach the peak of carbon emission in China, the energy and power industry has the most arduous task and the heaviest responsibility. It should not only ensure efficient economic development, but also complete the arduous task of energy conservation and emission reduction. It is the main force in helping reach the peak of carbon emission. Taking the achievement of carbon peak in China’s power industry as the research object, this paper utilizes time series analyses to establish CO2 emission prediction models for China and its power industry under two scenarios: with and without a carbon peak target. The paper analyzes the current status of achieving carbon peak in China’s power industry and puts a forward CO2 emission reduction scheme for China and its power industry in the future. On this basis, countermeasures for China’s power industry to deal with carbon peak are explored. Full article
(This article belongs to the Special Issue Regional Carbon Dioxide Emission Market)
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