Analysis of the dilemma and resolution path of energy transmission transformation——A study on “structure adjustment of coal electric energy transport” from the “Sanxi Region” to the Beijing-Tianjin-Hebei region based on a multi-regional CGE model

JIANG Chunhai, WANG Min, LI Yajing

Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (8) : 2434-2455.

PDF(431 KB)
中国科学院数学与系统科学研究院期刊网
PDF(431 KB)
Systems Engineering - Theory & Practice ›› 2024, Vol. 44 ›› Issue (8) : 2434-2455. DOI: 10.12011/SETP2023-0847

Analysis of the dilemma and resolution path of energy transmission transformation——A study on “structure adjustment of coal electric energy transport” from the “Sanxi Region” to the Beijing-Tianjin-Hebei region based on a multi-regional CGE model

  • JIANG Chunhai1, WANG Min1, LI Yajing2
Author information +
History +

Abstract

"The adjustment of coal-based electric energy transportation" plays a significant role in enhancing the ecological environment and reducing coal consumption in recipient areas. However, it faces challenges in practice. This study examines the "Structure adjustment of coal electric energy transport" from the "Sanxi Region" to the Beijing-Tianjin-Hebei region based on real-world experiences. By employing a multi-regional CGE model, this paper quantitatively analyzes the environmental, economic, and social impacts of this adjustment on both regions. The research reveals that the primary issue with the current transition is the imbalance of interests between the sending and receiving areas. Specifically, while the Beijing-Tianjin-Hebei region benefits from improved air quality, the "Sanxi Region" suffers from negative effects on both the atmosphere and economy. Considering China's 14th Five-Year Plan environmental protection goals, this paper suggests an optimal annual growth range for coal-based electric energy transportation from 2021 to 2025 of [14\%, 27\%]. Additionally, it proposes an optimized tax rate range for joint air pollution control and an economic compensation plan. This research offers a solution path and reference for overcoming challenges in the transformation of coal-based electric energy transportation and contributes to achieving ecological objectives in the Beijing-Tianjin-Hebei region.

Key words

structure adjustment of coal electric energy transport / environmental pollution transformation / environmental tax / air pollution control / economic compensation

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
JIANG Chunhai , WANG Min , LI Yajing. Analysis of the dilemma and resolution path of energy transmission transformation——A study on “structure adjustment of coal electric energy transport” from the “Sanxi Region” to the Beijing-Tianjin-Hebei region based on a multi-regional CGE model. Systems Engineering - Theory & Practice, 2024, 44(8): 2434-2455 https://doi.org/10.12011/SETP2023-0847

References

[1] 煤炭铁路运输保障能力持续提升[N].中国能源报, 2022, 4(1):15. Continuous enhancement of coal railway transportation security capability[N]. China Energy News, 2022, 4(1):15.
[2] 青山绿水共为邻——如何建设美丽中国[N].人民日报, 2018, 3(1):9. Green mountains and clear waters as neighbors-How to build a beautiful China[N]. The People's Daily, 2018, 3(1):9.
[3] 杨德庄,文讯,朱刚.输煤输电问题[J].优选与管理科学, 1987(2):37-44. Yang D Z, Wen X, Zhu G. Coal and electricity transmission issues[J]. Journal of Optimization and Management Science, 1987(2):37-44.
[4] 王耀华,张风营,白建华.输煤输电经济性比较[J].中国电力, 2007(12):6-9. Wang Y H, Zhang F Y, Bai J H. Economic comparison of coal and electricity transmission[J]. Electric Power, 2007(12):6-9.
[5] 林伯强,姚昕.电力布局优化与能源综合运输体系[J].经济研究, 2009(6):105-115. Ling B Q, Yao X. Power industry location optimization and integrative energy transportation system[J]. Economic Research Journal, 2009(6):105-115.
[6] 潘家铮.输煤输电不是零和关系[N].人民日报, 2011-02-28. Pan J Z. Coal and electricity transmission is not a zero-sum relationship[N]. The People's Daily, 2011-02-28.
[7] 江智军,谌洪江,刘见,等.输煤与输电环境效益比较分析[J].科学技术与工程, 2016(17):302-308. Jiang Z J, Shen H J, Liu J, et al. Comparative study on environmental benefits of coal transportation and power transmission[J]. Science Technology and Engineering, 2016(17):302-308.
[8] 姜春海,宋志永,冯泽.雾霾治理及其经济社会效应:基于"禁煤区"政策的可计算一般均衡分析[J].中国工业经济, 2017(9):44-62. Jiang C H, Song Z Y, Feng Z. Haze governance and it's economic and social effect:An analysis of CGE model based on "Coal Restricted Area" policy[J]. China Industrial Economics, 2017(9):44-62.
[9] 刘凤良,吕志华.经济增长框架下的最优环境税及其配套政策研究——基于中国数据的模拟运算[J].管理世界, 2009(6):40-51. Liu F L, Lü Z H. Optimal environmental tax and its supporting policy research under the economic growth framework-A simulation calculation based on Chinese data[J]. Management World, 2009(6):40-51.
[10] 娄峰.碳税征收对我国宏观经济及碳减排影响的模拟研究[J].数量经济技术经济研究, 2014(10):84-96. Lou F. Simulation study on the carbon tax impact on China's macro economy and carbon emission reduction[J]. Journal of Quantitative&Technological Economics, 2014(10):84-96.
[11] 刘宇,肖宏伟,吕郢康.多种税收返还模式下碳税对中国的经济影响——基于动态CGE模型[J].财经研究, 2015(1):35-48. Liu Y, Xiao H W, Lü Y K. On economic effect of carbon taxes in China under several tax relief modes:Based on dynamic CGE model[J]. Journal of Finance and Economics, 2015(1):35-48.
[12] 张其仔,郭朝先,孙天法.中国工业污染防治的制度性缺陷及其纠正[J].中国工业经济, 2006(8):29-35. Zhang Q Z, Guo Z X, Sun T F. Chinese imperfect mechanism of industrial pollution regulation and its improvement[J]. China Industrial Economics, 2006(8):29-35.
[13] 金艳鸣,黄涛,雷明."西电东送"中的生态补偿机制研究——基于三区域可计算一般均衡模型分析[J].中国工业经济, 2007(10):21-28. Jin Y M, Huang T, Lei M. Study of ecological compensation mechanism in the process of western electricity sending-off east-Application of three-regional CGE model[J]. China Industrial Economics, 2007(10):21-28.
[14] 姜春海,王敏,田露露.基于CGE模型的煤电能源输送结构调整的补贴方案设计[J].中国工业经济, 2014(8):31-43. Jiang C H, Wang M, Tian L L. Design of subsidy mechanism on structure adjustment of coal electric energy transport based on CGE model-Taking Shanxi province as an example[J]. China Industrial Economics, 2014(8):31-43.
[15] Li N, Zhang X, Shi M, et al. Does China's air pollution abatement policy matter?An assessment of the Beijing-Tianjin-Hebei region based on a multi-regional CGE model[J]. Energy Policy, 2019, 127(4):213-227.
[16] 魏巍贤,王月红.京津冀大气污染治理生态补偿标准研究[J].财经研究, 2019(4):96-110. Wei W X, Wang Y H. A study on the payment standards for environmental services in air pollution governance of Beijing-Tianjin-Hebei[J]. Journal of Finance and Economics, 2019(4):96-110.
[17] 武亚军,宣晓伟.环境税经济理论及对中国的应用分析[M].北京:经济科学出版社, 2002. Wu Y J, Xuan X W. Economic theory of environmental tax and its application analysis in China[M]. Beijing:Economic Science Press, 2002.
[18] Zheng H, Zhang Z, Wei W, et al. Regional determinants of China's consumption-Based emissions in the economic transition[J]. Environmental Research Letters, 2020, 15(7):074001.
[19] 谭显东.电力可计算一般均衡模型的构建及应用研究[D].北京:华北电力大学, 2008. Tan X D. Modeling and application of electric power computalbe general equilibrium model[D]. Beijng:North China Electric Power University, 2008.
[20] 刘兰娟,何志强,黄欣,等.基于GRAS方法的CGE模型参数估计——以上海区域经济SAM表为例[J].系统工程理论与实践, 2022, 42(6):1448-1462. Liu L J, He Z Q, Huang X, et al. Improving GRAS method to estimate parameters in CGE models with implications for Shanghai regional SAM[J]. System Engineering-Theory&Practice, 2022, 42(6):1448-1462.
[21] 钟嶷盛.京津冀区域典型工业源排放与PM2.5浓度响应关系与优化减排技术研究[D].北京:北京工业大学, 2021. Zhong Y S. Research on the response relationship between typical industrial source emissions and PM2.5 Concentration in Beijing-Tianjing-Hebei region and the optimization of emission reduction technology[D]. Beijing:Beijing University of Technology, 2021.
[22] 吴茵茵,徐冲,陈建东.不完全竞争市场中差异化环保税影响效应研究[J].中国工业经济, 2019(5):43-60. Wu Y Y, Xu C, Chen J D. Studies on effects of the environmental tax with differentiated tax standards under the imperfect competition market[J]. China Industrial Economics, 2019(5):43-60.
[23] 牛美晨,刘晔.提高排污费能促进企业创新吗?——兼论对我国环保税开征的启示[J].统计研究, 2021(7):87-99. Niu M C, Liu Y. Will higher sewage charges promote enterprise innovation?——With implications for the environmental protection tax in China[J]. Statistical Research, 2021(7):87-99.

Funding

Major Projects of Key Research Bases in Humanities and Social Sciences under the Ministry of Education of China (22JJD790007); Social Science Foundation of Liaoning Province (LN2019J10); Liaoning Social Science Fund Project (L18BJY023); Special Project for Enhancing Research Capability of Provincial and Higher-Level Research Platforms at Dongbei University of Finance and Economics (PT-Y202211)
PDF(431 KB)

1382

Accesses

0

Citation

Detail
Sections
Recommended

/

〈 〉