[Comparative Analysis of Influencing Factors for Carbon Emissions in China and Carbon Peak Countries].

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Useful for comparative analysis methods and empirical findings on carbon emission drivers across countries.

🏢実務担当者:May inform corporate strategy in China regarding emission reduction targets and energy transition.

🏛政策担当者:Offers insights for setting emission reduction policies and understanding structural differences between China and peak countries.

China's task of achieving carbon peaking before 2030 is arduous and urgent. Comparative studies of the carbon emission influencing factors of countries that have reached carbon peaking are of great significance for China's carbon reduction. This study selects China and 13 carbon peaking countries based on data from 1990 to 2023， uses the Mann-Kendall trend test method to determine the carbon emission peaking status of each country， constructs an extended STIRPAT model to analyze the influencing factors of carbon emissions in China and the peaking countries， compares and studies the differences in characteristic values between China's current situation and the peak years of the peaking countries， and finally puts forward targeted carbon reduction suggestions. The results show that： ① For peaking countries， total energy consumption was the core driving factor of carbon emissions， while per capita GDP， the proportion of secondary industry， energy structure， and energy intensity had a positive driving effect on carbon emissions. Population size， urbanization rate， R&D investment， and forest coverage rate， on the other hand， had an inhibitory effect. ② There were significant differences in the influencing factors between China and most peaking countries. Except for energy intensity， which was significantly negatively correlated with China's carbon emissions， all other influencing factors were positively correlated. Population size， urbanization rate， energy intensity， R&D investment， and forest coverage rate had opposite effects compared to most peaking countries. ③ Compared with the peak years of peaking countries， China's current situation in 2023 shows that the urbanization rate （64.75%） has not caught up with that of peaking countries （67.97%-96.85%）， per capita GDP （12 614 US dollars） is far lower than that of peaking countries （19 901-38 032 US dollars）， the proportion of secondary industry （38.28%） is generally higher than that of peaking countries （24.11%-34.05%）， and the proportion of fossil energy consumption （22.93%） is much higher than that of most peaking countries （1.97%-7.77%）. Although energy intensity （18 300 tons/100 million yuan）， R&D investment （2.43%）， and forest coverage rate （24.02%） are close to the levels of some peaking countries， there are still significant gaps compared to leading countries.

• openalex https://pubmed.ncbi.nlm.nih.gov/42473354first seen 2026-07-22 05:11:39