Research on Methods for Predicting Carbon Peak Scenarios

Qiushuang Li, Yan Li (), Wanlei Xue, Xin Zhao, Zhifan Liu and Ying Bai
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Qiushuang Li: State Grid Shandong Electric Power Company, Economic and Technology Research Institute
Yan Li: State Grid Shandong Electric Power Company, Economic and Technology Research Institute
Wanlei Xue: State Grid Shandong Electric Power Company, Economic and Technology Research Institute
Xin Zhao: State Grid Shandong Electric Power Company, Economic and Technology Research Institute
Zhifan Liu: State Grid Shandong Electric Power Company, Economic and Technology Research Institute
Ying Bai: State Grid Shandong Electric Power Company, Economic and Technology Research Institute

A chapter in Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023), 2024, pp 662-671 from Springer

Abstract: Abstract With the proposal of the “carbon peak” and “carbon neutrality” goals, and the implementation of related policies, an increasing number of scholars have conducted research and predictions on energy transition and carbon emissions reduction pathways. This paper examines the latest research progress in this field. Firstly, it summarizes and analyzes the characteristics of carbon peak prediction. Then, it mainly introduces the principles of macroeconomic models, integrated energy-economic system models, and other prediction models, while summarizing their advantages, disadvantages, and applicability. Finally, suggestions are provided for optimizing future research. This paper aims to provide valuable references and guidance for the academic community and government agencies by reviewing and studying the methods for predicting carbon peak scenarios.

Keywords: Peak Carbon; Scenario Prediction; Prediction Method; Model Application (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-246-0_80

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DOI: 10.2991/978-94-6463-246-0_80

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