Analysis of China’s Carbon Peak Achievement in 2025

Ziheng Niu, Jianliang Xiong, Xuesong Ding and Yao Wu
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Ziheng Niu: International College Beijing, China Agricultural University, Beijing 100083, China
Jianliang Xiong: School of Economics and Management, Tsinghua University, Beijing 100084, China
Xuesong Ding: School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
Yao Wu: School of Economics and Management, Tsinghua University, Beijing 100084, China

Energies, 2022, vol. 15, issue 14, 1-18

Abstract: To solve the problem of rising energy use and CO 2 emissions, China issued the 14th Five-Year Plan in 2020, emphasizing the need to reduce its carbon intensity and achieve a carbon emission peak before 2030. In order to estimate the future path of carbon peak in China, a novel dataset was constructed to analyze 30 provinces in China, and found that the realization of carbon peaking in 2025 requires a reduction of 1.072 million tons of carbon emissions in 2025, at which point peak carbon emissions will be 11,008.4 million tons. Due to this energy gap caused by carbon emission reduction the total amount of clean electricity has reached 3600 billion kWh. In carbon emission allowance trading, provinces with large carbon emissions, like Jiangsu and Guangdong, prefer to buy carbon allowances, while those with small carbon emissions like Shanxi and Inner Mongolia prefer to sell carbon allowances. In the energy trading market, the overall situation meets the 14th Five-Year Plan of west-east and north-south power transmission, except for Shanghai, Hainan, Hubei, and other provinces selling power, due to excessive power generation from a particular energy source.

Keywords: carbon peak; carbon emission allowance trading; energy trading market; China (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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