Carbon Emission and Carbon Neutrality in China

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Pollution Control".

Deadline for manuscript submissions: 2 June 2024 | Viewed by 7354

Special Issue Editors

Department of Urban Planning and Design, The University of Hong Kong, Hong Kong 999077, China
Interests: climate change; decarbonization; low-carbon city; traffic emissions
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: carbon dioxide emissions; low-carbon city; regional development planning

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Guest Editor
College of City Construction, Jiangxi Normal University, Nanchang 330022, China
Interests: carbon footprint; agricultural carbon emission; sustainable development

Special Issue Information

Dear Colleagues,

As the largest CO2 emitter, China has proposed a “Dual Carbon” target, an aim to achieve its carbon peak by 2030 and carbon neutrality by 2060. Carbon emission reduction and carbon sink enhancement are fundamental pathways for achieving carbon neutrality. Uncovering the patterns, process mechanisms, and evolutionary trends of carbon sources and sinks, as well as their interactive mechanisms with the climate system, is significant for achieving carbon neutrality and sustainable development.

The journal Atmosphere is hosting a Special Issue to disseminate the most recent findings related to carbon emissions and carbon neutrality in China. Topics of interest include, but are not limited to, the following:

  • Innovative methods of carbon accounting and calculation;
  • Spatial–temporal patterns of major carbon sources;
  • Spatial–temporal patterns of carbon sinks;
  • Regional carbon cycle process;
  • CO2 flux measurement;
  • Carbon sink potential assessment.

Dr. Ji Zheng
Dr. Yu Li
Dr. Yingjie Hu
Guest Editors

Manuscript Submission Information

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Keywords

  • carbon emission
  • carbon neutrality
  • decarbonization pathway
  • spatiotemporal characteristics
  • driving mechanism

Published Papers (4 papers)

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Research

20 pages, 6374 KiB  
Article
Spatiotemporal Analysis of Urban Carbon Metabolism and Its Response to Land Use Change: A Case Study of Beijing, China
by Yingjie Hu, Jin Sun and Ji Zheng
Atmosphere 2023, 14(8), 1305; https://doi.org/10.3390/atmos14081305 - 17 Aug 2023
Viewed by 1006
Abstract
Analyzing the spatial pattern of urban carbon metabolism could provide insights into spatial adjustments to mitigate the greenhouse effect. Using CASA and empirical coefficients, we quantitatively analyzed and mapped the spatial pattern of the urban carbon metabolism of Beijing and its response to [...] Read more.
Analyzing the spatial pattern of urban carbon metabolism could provide insights into spatial adjustments to mitigate the greenhouse effect. Using CASA and empirical coefficients, we quantitatively analyzed and mapped the spatial pattern of the urban carbon metabolism of Beijing and its response to land use change from 2000 to 2020. The results showed that the carbon emission rate of Beijing increased in the first decade and decreased in the next, while the carbon sequestration rate kept rising over the past two decades. The net carbon emission rate of Beijing averaged 1284.52 × 107 kg C yr−1, indicating that the city functioned as a net carbon source throughout the study period. The most harmful carbon transitions were always sourced from the southeastern suburban area, where the natural components were converted to artificial components, while beneficial carbon transitions were in the urban central area, where the artificial component with a higher carbon emission density was converted to the other types of artificial components with relatively a lower carbon emission density, and the northwestern mountainous areas, where land use types transferred out of and into the forest or grass. The spatiotemporal change in urban carbon metabolism was highly correlated with the land use transition, and the land use change from cultivated land to industrial land accounted for 34.87% of the harmful carbon transitions. These results of key carbon flows and hotspots provide insights for policymaking in the effective management of reducing carbon emissions and enhancing carbon sequestration. Full article
(This article belongs to the Special Issue Carbon Emission and Carbon Neutrality in China)
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20 pages, 3438 KiB  
Article
NPP and Vegetation Carbon Sink Capacity Estimation of Urban Green Space Using the Optimized CASA Model: A Case Study of Five Chinese Cities
by Fang Xu, Xiangrong Wang and Liang Li
Atmosphere 2023, 14(7), 1161; https://doi.org/10.3390/atmos14071161 - 17 Jul 2023
Cited by 2 | Viewed by 1690
Abstract
Urban area is a major source of CO2 and other greenhouse gases. Urban green space (UGS) is an essential element to increase carbon sequestration directly and reduce emission indirectly. In this study, the net primary production (NPP) and net ecosystem productivity (NEP) [...] Read more.
Urban area is a major source of CO2 and other greenhouse gases. Urban green space (UGS) is an essential element to increase carbon sequestration directly and reduce emission indirectly. In this study, the net primary production (NPP) and net ecosystem productivity (NEP) was monitored in order to enhance the carbon sequestration function of UGS and promote urban low-carbon development. Based on the Sentinel-2 L2A satellite images, meteorological data, and vegetation type data in 2019, we used the optimized Carnegie Ames Stanford Approach (CASA) model to estimate the NPP values of UGS types including attached green space, park green space, protective green space, and regional space in Beijing, Guangzhou, Shanghai, Shenyang, and Xi’an. The NEP values were evaluated based on NPP and soil heterotrophic respiration (RH) to quantify the vegetation carbon sink capacity. The accuracy test shows that the estimated NPP values based on the optimized CASA model are effective. The results indicate that the average NPP values (1008.5 gC·m−2·a−1) and vegetation carbon sink capacity (771.49 gC·m−2·a−1) of UGS in Beijing rank first among the cities, which is followed by the values in Guangzhou. The regional green space and park green space in five cities function as carbon sinks with high NPP values and have vegetation carbon sink capacity, whereas the attached green space in Shanghai and Xi’an as well as the protective green space in Guangzhou and Xi’an function as carbon sources. Moreover, the NEP distribution shows obvious spatial aggregation characteristics, that is, the high NEP values of UGS are clustered in mountainous forest areas in the west and north of Beijing, Northeast Guangzhou, and South Xi’an whereas the low NEP values are mostly concentrated in the urban built-up areas under strong influences of human activities. This research provides a new method for NPP and NEP estimation of UGS at the city scale and the scientific basis for the improvement of the vegetation carbon sink capacity of UGS. Full article
(This article belongs to the Special Issue Carbon Emission and Carbon Neutrality in China)
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21 pages, 5632 KiB  
Article
Can Inner Mongolia Learn from Zhejiang’s Low-Carbon Policy?—Comparative Analysis Based on the EPS Model
by Wei Duan, Guilei Lin and Desheng Xu
Atmosphere 2023, 14(1), 169; https://doi.org/10.3390/atmos14010169 - 12 Jan 2023
Cited by 1 | Viewed by 1608
Abstract
Based on the energy policy simulation model (EPS model) and the reality of Zhejiang Province and Inner Mongolia Autonomous Region, the carbon pricing policy scenario and the early retirement policy scenario of coal power generation units were constructed, respectively, and the policy effects [...] Read more.
Based on the energy policy simulation model (EPS model) and the reality of Zhejiang Province and Inner Mongolia Autonomous Region, the carbon pricing policy scenario and the early retirement policy scenario of coal power generation units were constructed, respectively, and the policy effects simulated. The study explored whether Inner Mongolia Autonomous Region can learn from the low-carbon policies that have played a good role in Zhejiang Province in the process of achieving a carbon peak. The research found that: (1) Under the baseline scenario, both Zhejiang Province and Inner Mongolia Autonomous Region failed to achieve a carbon peak by 2030. (2) Under the scenarios of carbon pricing and early retirement of coal power generation units, the peak time of carbon in Zhejiang Province and Inner Mongolia Autonomous Region has been advanced, which shows the effectiveness of carbon pricing and early retirement of coal power generation units. (3) The above two policies have achieved good results in the overall implementation process of Zhejiang Province, but the carbon pricing policy has caused dramatic fluctuations in the power generation in Inner Mongolia Autonomous Region, and the early retirement policy of coal power units has failed to achieve the goal of reaching the peak carbon in Inner Mongolia Autonomous Region on schedule. Full article
(This article belongs to the Special Issue Carbon Emission and Carbon Neutrality in China)
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13 pages, 1649 KiB  
Article
Impacts of Urban Rail Transit on On-Road Carbon Emissions: A Structural Equation Modeling Approach
by Yifu Ou, Ji Zheng and Kyung-Min Nam
Atmosphere 2022, 13(11), 1783; https://doi.org/10.3390/atmos13111783 - 28 Oct 2022
Cited by 10 | Viewed by 1818
Abstract
We examine the effects of urban rail transit on on-road carbon emissions in 90 Chinese cities, taking a structural equation modeling approach. Urban rail transit theoretically helps mitigate overall transport-sector emissions by absorbing part of the vehicular traffic demand or by generating traffic-diversion [...] Read more.
We examine the effects of urban rail transit on on-road carbon emissions in 90 Chinese cities, taking a structural equation modeling approach. Urban rail transit theoretically helps mitigate overall transport-sector emissions by absorbing part of the vehicular traffic demand or by generating traffic-diversion effects. However, its net contribution is obscure, given potential traffic-creation effects, since improved rail access can also incentivize new developments and thus induce additional on-road traffic. In contrast to many existing studies that neglect rail transit’s traffic-creation effects, we analyze these opposing effects within a single framework, where primary rail-associated emission channels are explicitly modeled. Our central results show that urban rail density is negatively associated with on-road carbon emissions with a net elasticity of −0.0175, speaking for the dominance of the traffic-diversion effects in China’s context. However, mixed evidence exists on the effects of increased urban rail density on vehicle-kilometers traveled and vehicle ownership, with the two opposing effects being relatively balanced. These findings suggest that transport-sector mitigation needs coordination between urban rail development and planning regulations. Full article
(This article belongs to the Special Issue Carbon Emission and Carbon Neutrality in China)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Features, Mechanisms and Optimization of Embodied Carbon Emissions for Typical Industrial Province: Case Study of Hebei, China
Authors: Suocheng Dong; Qian Liu; Fujia Li*; et al.
Affiliation: Chinese Academy of Sciences
Abstract: In countries with rapid economic growth and rapid increase in carbon emissions, embodied carbon emissions from inter-provincial trade significantly affects the amount and structure of carbon emissions, and a key issue that needs to be considered when formulating carbon emission reduction policies. The carbon emission reduction task of typical industrial provinces has become a major challenge to achieve carbon neutrality. In this research, we chose Hebei, as the case area, and 1997-2017, the key stage of rapid energy consumption and carbon emissions, as the research period. We comprehensively used EEBT model, SDA model, and CR model to explore the spatio-temporal feature and mechanism of embodied carbon emissions from inter-provincial trade (ECEs-PT) in Hebei. The results showed that the spatio-temporal development characteristic of net ECEs-PT outflow in Hebei, is expanded coverage. Net ECEs-PT is highly concentrated in metal smelting and rolling processing (MetalSmelt) and petroleum processing, coking, and nuclear fuel processing (RefPetraol). Moreover, the ECEs-PT driving forces were technology, structure and scale. A rapid increase in interprovincial demand had led to a high concentrations of trade structures in Hebei. While trade expands, the pressure of CEs reductions increasing. Finally, we discussed optimization for different types of sectors. The results could provide scientific support for similar areas to reduce carbon emissions and achieve carbon neutrality more efficiently.

Title: Impacts of Urban Rail Transit on Carbon Emissions in China: Focusing on Traffic Diversion and Creation Effects
Authors: Yifu Ou; Ji Zheng; Kyung-Min Nam*
Affiliation: The University of Hong Kong
Abstract: In this study, we examine the net effects of urban rail transit on carbon emissions in 93 Chinese cities, taking a structural equation modeling approach. Urban rail transit theoretically helps mitigate transport-sector emissions by absorbing part of vehicle traffic volume or generating traffic-diversion effects. However, its net contribution to mitigation is not certain given potential traffic-creation effects, since improved rail access can also incentivize new developments and thus induce additional on-road traffic. In contrast to many existing studies neglicting the latter, we analyze both of these opposing effects within a single framework, where primary rail-associated emission channels are explicitly modeled. Our central results show that urban rail density is negatively associated with traffic-related carbon emissions, and speak for the dominance of the traffic-creation effects in China’s context. However, mixed evidence exists on the effects of increased urban rail density on vehicle-kilometers traveled, suggesting relative balance between the two effects. In fact, our follow-up path analysis demonstrates that the traffic-diversion effects tend to be gradually overshadowed by the traffic-creation effects. These findings suggest that transport-sector mitigation needs coordination between urban rail development and planning regulations.

Title: Spatiotemporal Analysis of urban carbon metabolism and its response to land use change using CASA and ecological network model: A case of Beijing, China
Authors: Yingjie Hu; Ji Sun; Ji Zheng*
Affiliation: The University of Hong Kong
Abstract: Analyzing the spatial pattern of urban carbon metabolism could provide insights into the spatial adjustments to mitigate the greenhouse effect. Using CASA and ecological network model, we quantitatively analyzed and mapped the spatial patterns of urban carbon metabolism and its response to land use change and urbanization from 2000 to 2020. The result showed that the carbon sequestration only offset 6.08% of carbon emission, indicating a serious imbalance of the urban carbon metabolism in Beijing. In the meantime, the carbon sequestration increased by 15.48% and the carbon emission almost doubled during the study period. The harmful carbon transitions always sourced from the south-eastern suburban area while most beneficial carbon transitions were in the urban central area and north-western mountainous areas. The spatiotemporal change of urban carbon metabolism was highly correlated with the land use transition, and the land use change from cultivated land to industrial land accounted for 58.76% of the harmful carbon transitions. These results of key carbon flow and area help provide insights for policymaking in effective management of the spatial patterns of carbon emission and sequestration.

Title: Measurement of Embodied Carbon Emissions in Cross-strait Trade and Decomposition of Influencing Factors
Authors: Baoguo Shi†,Xiaodan Bai†,Yanjie Wang,Wenjing Xiang,Yu Cao,Guihong Geng,Ji Zheng*
Affiliation: Minzu University of China
Abstract: The impact of embodied carbon emissions by trade and associated carbon emissions transfer on the distribution of carbon emission responsibility between countries or regions has become a key issue of climate governance. In this study, we choose Mainland of China and Taiwan as the research regions, and take 2005-2020 as the research period. We comprehensively applied the multi-regional input-output model (MRIO), structural decomposition analysis (SDA) and other methods to study the change of embodied carbon emissions in cross-strait trade, the direction of embodied carbon emissions in cross-strait trade, and the factors influencing the embodied carbon emissions in the import and export trade between the two regions and the degree of impact. The results showed that there is a positive correlation between the embodied carbon emissions in cross-strait trade and the total import and export trade in the study period. The rapid increase of embodied carbon emissions in the trade is mainly due to the growth of trade scale between the two regions. Technological effect can promote and inhibit the growth of embodied carbon emissions, and the effect is obvious. Structural effect can restrain embodied carbon emissions, but the effect is not obvious. Under the combined action of the three effects, the overall effect is still promoting the increase of carbon emissions. Based on our findings, we propose relevant policy recommendations to reduce the embodied carbon emissions in cross-strait trade, so as to help China achieve the dual carbon target within the commitment period.

Title: NPP estimation of different types of urban green space using improved CASA model: A case study in Beijing and other cities in China
Authors: Fang Xu, Liang Li
Affiliations: School of Landscape Architecture, Beijing Forestry University, Beijing, China
Abstract: Urban area is a major source of CO2 and other greenhouse gases. Urban green space is an essential element to increase carbon sequestration directly and reduce emission indirectly. Monitoring the carbon sequestration of urban green space accurately, is of great significance to enhance carbon sequestration function of urban green space and promote urban low-carbon development. Net primary production (NPP) of different types of urban green space in Beijing, Shanghai, Guangzhou, Shengyang and Xi’an in 2019 was estimated using improved CASA model. The results provide a new method for NPP estimation of urban green space at city scale and the scientific basis for carbon sink estimation.
Highlights: 1. The improved CASA model improves the calculation accuracy of NPP. 2. Different types of urban green space in China have different carbon sequestration capacities.
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