Journal of statistics and economics., Год журнала: 2024, Номер 1(6), С. 24 - 33
Опубликована: Дек. 1, 2024
This study selects carbon emission data from Daqing City 2001 to 2023 as the subject of analysis, employs STIRPAT model and ridge regression method decompose key factors affecting emissions, combines scenario analysis construct 32 different combined scenarios predict emissions peak time 2024 2035. results show that are generally positively correlated with City; Under baseline scenario, is expected reach its in 2030, while under single pathway scenarios, likely achieve early 2025. Based on prediction results, propose suggestions both industry technology aspects, take lead achieving peak.
Язык: Английский
