The peak path of provincial carbon emissions in the Yellow River Basin of China based on scenario analysis and Monte Carlo simulation method

被引:1
|
作者
Wang, C. [1 ,2 ]
Gong, W. [1 ,2 ]
Wang, Y. [1 ]
Fan, Z. [3 ]
Li, W. [1 ,2 ]
机构
[1] Qufu Normal Univ, Sch Econ, Rizhao 276826, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Sch Econ & Management, Nanjing 211006, Peoples R China
[3] Taian City Commercial Bank, Taixi Branch, Tai An 271021, Peoples R China
来源
GLOBAL NEST JOURNAL | 2023年 / 25卷 / 04期
基金
中国国家自然科学基金;
关键词
Yellow River Basin; carbon peaking; scenario analysis; Monte Carlo Simulation;
D O I
10.30955/gnj.004619
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Yellow River Basin is an important economic zone in China and an important base for energy, chemical, raw materials and basic industries. However, the sloppy development pattern of "high consumption and high pollution" in nine provinces along the Yellow River Basin has become an important obstacle to achieving the carbon peaking and carbon neutrality goals. Using the extended STIRPAT model and combining scenario analysis and Monte Carlo simulation to build a prediction model, the future trend of carbon emissions in the nine provinces of the Yellow River Basin was predicted and the optimal path to reach the peak of carbons in the Yellow River Basin was explored. The results show that the nine provincial areas in the Yellow River Basin will not be able to reach the carbon peaking before 2035 under the baseline scenario. By further comparing the carbon peaking conditions of provinces under the low-carbon scenario and the technology breakthrough scenario, it is found that the peaking time, carbon peak value and the number of provinces under the technology breakthrough scenario are significantly better than those under the low -carbon scenario. Under the technology breakthrough scenario, the energy efficiency of the nine provinces in the Yellow River Basin will be greatly improved, the innovation capacity will be significantly enhanced, and the synergistic emission reduction mechanism and related policies between provincial areas will be perfected. Technological breakthroughs will become an important engine for high-quality development in the Yellow River Basin.
引用
收藏
页码:56 / 69
页数:14
相关论文
共 50 条
  • [31] Analysis of the Nonlinear and Spatial Spillover Effects of the Digital Economy on Carbon Emissions in the Yellow River Basin
    Dong, Ruiyuan
    Zhou, Xiaowei
    SUSTAINABILITY, 2023, 15 (06)
  • [32] Analysis of China's Coal Reduction Path under the Goal of Peak Carbon Emissions and Carbon Neutralization
    Liu, Hanbin
    Wang, Xintong
    Chang, Siqi
    ENERGIES, 2022, 15 (19)
  • [33] Decomposition and decoupling analysis of carbon emissions in the Yellow River Basin: evidence from urban agglomerations
    Ruimin Chen
    Xiaojun Ma
    Yanqi Song
    Mengyu Wang
    Yijie Fan
    Yuanbo Yu
    Environmental Science and Pollution Research, 2023, 30 : 120775 - 120792
  • [34] Research on carbon emission peak prediction and path of China?s public buildings: Scenario analysis based on LEAP model
    Zhang, Caiqing
    Luo, Hongxia
    ENERGY AND BUILDINGS, 2023, 289
  • [35] Prediction and Path of Carbon Peak in Shannan Region of Tibet Based on Multi Scenario Analysis
    Zhang, Yang
    Zhang, Jinbo
    Jiang, Shaorui
    Guo, Huaicheng
    Wang, Shuhang
    Fu, Zhenghui
    Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis, 2024, 60 (02): : 350 - 356
  • [36] MULTI-SCENARIO PREDICTION AND REGULATION STRATEGY OF CARBON BUDGET IN THE YELLOW RIVER BASIN OF CHINA UNDER THE "DOUBLE CARBON" TARGET
    Shen, W.
    Rong, P. J.
    Cao, W. W.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2024, 22 (04): : 3059 - 3085
  • [37] Method for the Analysis of Health Personnel Availability in a Pandemic Crisis Scenario through Monte Carlo Simulation
    Pando-Ezcurra, Tamara
    Auccahuasi, Wilver
    Saenz Arenas, Esther Rosa
    Rosario Pacahuala, Emilio Augusto
    Gonzalez Ponce de Leon, Erica Rojana
    Olaya Cotera, Sandro
    Flores Castaneda, Rosalynn Ornella
    Herrera, Lucas
    APPLIED SCIENCES-BASEL, 2022, 12 (16):
  • [38] Soil Erosion Characteristics and Scenario Analysis in the Yellow River Basin Based on PLUS and RUSLE Models
    Li, Yanyan
    Zhang, Jinbing
    Zhu, Hui
    Zhou, Zhimin
    Jiang, Shan
    He, Shuangyan
    Zhang, Ying
    Huang, Yicheng
    Li, Mengfan
    Xing, Guangrui
    Li, Guanghui
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (02)
  • [39] Coal power demand and paths to peak carbon emissions in China: A provincial scenario analysis oriented by CO2-related health co-benefits
    Zhang, Boling
    Wang, Qian
    Wang, Sixia
    Tong, Ruipeng
    ENERGY, 2023, 282
  • [40] Can China achieve its water use peaking in 2030? A scenario analysis based on LMDI and Monte Carlo method
    Zhang, Chenjun
    Zhao, Yi
    Shi, Changfeng
    Chiu, Yung-ho
    JOURNAL OF CLEANER PRODUCTION, 2021, 278