[1]王宗保,钟 鸣,马晓凤.基于多区域CGE的能源排放与运输融合政策研究[J].长安大学学报(自然科学版),2024,44(5):194-203.[doi:10.19721/j.cnki.1671-8879.2024.05.016]
 WANG Zong-bao,ZHONG Ming,MA Xiao-feng.Analysis of combined emission and transportation policies using a multi-regional CGE model[J].Journal of Chang’an University (Natural Science Edition),2024,44(5):194-203.[doi:10.19721/j.cnki.1671-8879.2024.05.016]
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基于多区域CGE的能源排放与运输融合政策研究()
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长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
第44卷
期数:
2024年5期
页码:
194-203
栏目:
交通能源融合技术专题
出版日期:
2024-10-10

文章信息/Info

Title:
Analysis of combined emission and transportation policies using a multi-regional CGE model
文章编号:
1671-8879(2024)05-0194-10
作者:
王宗保12钟 鸣12马晓凤12
(1. 武汉理工大学 智能交通系统研究中心,湖北 武汉 430063; 2. 武汉理工大学国家水运安全工程技术研究中心,湖北 武汉 430063)
Author(s):
WANG Zong-bao12 ZHONG Ming12 MA Xiao-feng12
(1. Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063,Hubei, China; 2. National Engineering Research Center for Water Transport Safety,Wuhan University of Technology, Wuhan 430063, Hubei, China)
关键词:
交通工程 能源与运输政策 可计算一般均衡 能源运输 碳税
Keywords:
traffic engineering energy and transportation policy computable general equilibrium energy transport carbon tax
分类号:
U491
DOI:
10.19721/j.cnki.1671-8879.2024.05.016
文献标志码:
A
摘要:
碳税政策和“输煤转输电”政策是减少能源受端地区碳排放和推进以电代煤的重要手段,但是现有研究较少对这2种政策的综合影响进行对比分析。为了定量分析上述融合政策综合影响,基于多区域可计算一般均衡建模方法,构建区域能源排放与运输融合政策分析模型。该模型通过模拟相关政策对地区碳排放和区域贸易的多边影响,为地区碳排放控制和能源输送策略提供参考。并以长三角地区为研究对象,深入分析该地区的排放与运输政策对经济发展、二氧化碳排放、能源需求结构以及区域间能源调入的影响。研究结果表明:“输煤转输电”政策和碳税政策均有利于推动长三角地区电力消费的增长和抑制二氧化碳排放; “输煤转输电”政策制定需要考虑地区的能源需求结构,在“输煤转输电”转变比例为0.15时,该政策不仅带动GDP增长和电力消费提升,还能有效减少地区的二氧化碳排放; 碳税政策也可抑制二氧化碳排放,但对地区GDP产生不利影响; 考虑到碳税政策对电力需求的刺激作用,在实施碳税政策的同时,适度提升“输煤转输电”的转换比,更有利于能源受端地区的经济发展和电力调入量; 当地区碳税价格为120元/t时,为了优化GDP表现,建议将转换比例调至约0.12; 对于能源低碳转型的重点地区,需要综合运用排放与运输政策,提升地区低碳发展水平。
Abstract:
Implementing the carbon tax and shifting energy inputs from coal to electricity are vital for mitigating carbon emissions in the energy-recipient region. However, limited studies have thoroughly examined the combined impacts of these two policies. An analysis model for combined energy emission and transportation policy was developed based on the multi-regional computable general equilibrium(CGE)modeling approach to quantitively analyze the comprehensive impact of the above policies. The proposed model evaluated the multifaceted effects of different policy portfolios, providing a reference for regional carbon emission control and energy transportation strategies. Taking the Yangtze River Delta(YRD)region as the case study, the impacts of emission and transportation policies on economic development, carbon dioxide emissions, energy demand structure, and inter-regional energy imports were analyzed. The results show that both the coal-to-electricity transformation and regional carbon tax policies are beneficial in promoting electricity consumption and curbing carbon dioxide emissions in the YRD region. The formulation of the coal-to-electricity policy needs to take into account the region’s energy demand structure. At a transformation ratio of 0.15, this policy stimulates GDP growth and increases electricity consumption, and effectively reduces the region’s carbon dioxide emissions. In comparison, while the carbon tax policy also effectively reduces regional carbon dioxide emissions, it hurts regional GDP. Given the stimulating effects of the carbon tax policy on electricity demand, its concurrent implementation with a well-formulated energy transformation policy can not only foster economic development in the energy-recipient region, but also stimulate power imports from energy-production regions. In the scenario where the regional carbon tax price is 120 RMB/ton, adjusting the transformation ratio to approximately 0.12 is recommended to optimize GDP performance. Therefore, for the key regions in the transition to low-carbon economies, it is essential to implement the combined emission and transportation policies to enhance the region’s low-carbon development level.9 figs, 25 refs.

参考文献/References:

[1] LI N,CHEN W Y.Modeling China’s interprovincial coal transportation under low carbon transition[J].Applied Energy,2018,222:267-279.
[2]张楷唯,尹 璐,刘清芳.“双碳” 背景下铁路煤炭运输发展浅析[J].铁道货运,2023,41(9):15-20.
ZHANG Kai-wei,YIN Lu,LIU Qing-fang.Analysis of development of railway coal transportation under the background of carbon peak and carbon neutrality[J].Railway Freight Transport,2023,41(9):15-20.
[3]曾学福.综合交通基础设施建设与国家能源运输网融合发展的研究[J].公路,2022,67(2):172-180.
ZENG Xue-fu.Research on the integrated development of comprehensive transportationinfrastructure and national energy network[J].Highway,2022,67(2):172-180.
[4]叶建红,李兴华,杨 超,等.交通强国背景下综合交通一体化融合发展的理论框架[J].交通运输研究,2023,9(3):30-38,47.
YE Jian-hong,LI Xing-hua,YANG Chao,et al.Theoretical framework of integrative developmentfor comprehensive transport under building a country with strong transportation network[J].Transport Research,2023,9(3):30-38,47.
[5]赵长红,邱燕妮,袁家海.输煤输电经济性比较:以浩吉铁路为例[J].煤炭经济研究,2020,40(10):14-18.
ZHAO Chang-hong,QIU Yan-ni,YUAN Jia-hai.Economic comparison of coal transportation and power transmission-Taking Haoji Railway as an example[J].Coal Economic Research,2020,40(10):14-18.
[6]蒋金荷,袁全红.“双碳” 目标下我国三北地区能源外送新途径研究[J].价格理论与实践,2023(7):30-34.
JIANG Jin-he,YUAN Quan-hong.Research on new methods of energy export in the Three North Regions of China under the “dual carbon” goal[J].Price:Theory & Practice,2023(7):30-34.
[7]邓铭江,明 波,李 研,等.“双碳” 目标下新疆能源系统绿色转型路径[J].自然资源学报,2022,37(5):1107-1122.
DENG Ming-jiang,MING Bo,LI Yan,et al.Pathways towards a cleaner energy system for Xinjiangunder carbon peak and carbon neutrality goals[J].Journal of NaturalResources,2022,37(5):1107-1122.
[8]张 政.多式联运下我国煤炭调运问题的实证研究[D].北京:北京交通大学,2018.
ZHANG Zheng.An empirical study on coal transportation in China under multimodal transport[D].Beijing:Beijing Jiaotong University,2018.
[9]翟俊义.促进大规模风电消纳的电力系统协调调度模型与方法研究[D].北京:华北电力大学,2019.
ZHAI Jun-yi.Research on coordinated dispatching model and method of power system to promote large-scale wind power consumption[D].Beijing:North China Electric Power University,2019.
[10]EWING B R,HAWKINS T R,WIEDMANN T O,et al.Integrating ecological and water footprint accounting in a multi-regional input-output framework[J].EcologicalIndicators,2012,23:1-8.
[11]WEN W,WANG Q.Identification of key sectors and key provinces at the view of CO2reduction and economic growth in China:Linkage analyses based on the MRIO model[J].Ecological Indicators,2019,96:1-15.
[12]BACHMANN C,KENNEDY C,ROORDA M J.Applications of random-utility-based multi-region input-output models of transport and the spatial economy[J].Transport Reviews,2014,34(4):418-440.
[13]LI S J,JIA N,CHEN Z N,et al.Multi-objective optimization of environmental tax formitigating air pollution and greenhouse gas[J].Journal of Management Science andEngineering,2022,7(3):473-488.
[14]贾智杰.中国低碳政策的对比研究——以碳税、碳交易和资源税为例[D].厦门:厦门大学,2021.
JIA Zhi-jie.A comparative study of China’s low carbon policies:A case study of carbon tax,carbon trading and resource tax[D].Xiamen:Xiamen University,2021.
[15]JIA Z J,LIN B Q,LIU X Y.Rethinking the equity and efficiency of carbon tax:A novel perspective[J].Applied Energy,2023,346:121347.
[16]安康欣,刘米可,范淑婷,等.能耗双控转向碳双控的政策影响评估——基于安徽省动态CGE模型[J].中国环境科学,2024,44(4):1795-1804.
AN Kang-xin,LIU Mi-ke,FAN Shu-ting,et al. Impact of the shift from “dual control” of energy to carbon:A CGE-based case study of Anhui[J]. Chinese Environmental Science,2024,44(4):1795-1804.
[17]SUN Z,ZHANG R,GAO Y,et al.Hub ports in economic shocks of the melting Arctic[J].Maritime Policy & Management,2021,48(7):917-940.
[18]RAMADHANI D P,KOO Y.Comparative analysis of carbon border tax adjustment and domestic carbon tax under general equilibrium model:Focusing on the Indonesian economy[J].Journal of Cleaner Production,2022,377:134288.
[19]李 娜,石敏俊,张卓颖,等.基于多区域CGE模型的长江经济带一体化政策效果分析[J].中国管理科学,2020,28(12):67-76.
LI Na,SHI Min-jun,ZHANG Zhuo-ying,et al.Analysis on policy effects of integration of Yangtze River Economic Belt based on a multi-regional CGE model[J].Chinese Journal of Management Science,2020,28(12):67-76.
[20]姜春海,王 敏,李亚静.能源输送转型困境的症结解析与破解路径——基于多区域CGE模型的“三西”地区—京津冀地区“输煤转输电”研究[J].系统工程理论与实践,2024,44(8):2434-2455.
JIANG Chun-hai,WANG Min,LI Ya-jing. Analysis of the dilemma and resolution path of energy transmission transformation:A study on “structure adjustment of coal electricenergy transport” from the “Sanxi Region” to the Beijing-Tianjin-Hebei Region based on a multi-Regional CGE model[J]. Systems Engineering Theory and Practice,2024,44(8):2434-2455.
[21]LI N,ZHANG X L,SHI M J,et al.Does China’s air pollution abatement policy matter?Anassessment of the Beijing-Tianjin-Hebei Region based on a multi-regional CGE model[J].Energy Policy,2019,127:213-227.
[22]LOFGREN H,HARRIS R L,ROBINSON S. A standard computable general equilibrium(CGE)model in GAMS[R]. Washington DC:International Food Policy Research Institute,2002.
[23]ZHAI M Y,HUANG G H,LIU L R,et al.Segmented carbon tax may significantly affect theregional and national economy and environment-A CGE-based analysis for GuangdongProvince[J].Energy,2021,231:120958.
[24]IVANOVA O.Modelling inter-regional freight demand with input-output,gravity and SCGE methodologies[M].Amsterdam:Elsevier,2014.
[25]SHAHRIARI S,ROBSON E N,WANG J,et al.Integrating a computable general equilibrium model with the four-step framework[J].Transportation,2023,50(4):1213-1260.

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备注/Memo

备注/Memo:
收稿日期:2024-06-28
基金项目:国家重点研发计划项目(2021YFB2601300)
作者简介:王宗保(1995-),男,湖北武汉人,工学博士研究生,E-mail:baoyell@whut.edu.cn。
通讯作者:马晓凤(1981-),女,山东威海人,副研究员,工学博士,E-mail:maxiaofeng@whut.edu.cn。
更新日期/Last Update: 2024-10-20