Carbon Dioxide Emissions Forecasting and Scenario Analysis in China's Non-Metallic Mineral Products Industry

China's non-metallic mineral product industry (NMPI) is a typical high-emission industry; effective control of CO2 emissions from NMPI is the key to realising China's carbon peaking target. This study used STIRPAT to analyse the influential factors, and the CO2 emissions of the NMPI under various scenarios were forecasted from 2023 to 2040 using HHO-BPNN and scenario analysis. The results show that: NMPI will have difficulty realising carbon peaking by 2030 under the baseline scenario; however, under the scenarios of government regulation, technological breakthrough, and enhanced low-carbon, NMPI can achieve carbon peaking by 2030.

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Publication Details

Journal
International Journal of Global Warming
Published
2024-09-15
DOI
https://doi.org/10.1504/ijgw.2025.10066551
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Carbon Dioxide Emissions Forecasting and Scenario Analysis in China's Non-Metallic Mineral Products Industry

Shaomei Yang, Zhuolin Zhang
International Journal of Global Warming
Geological Modeling and Analysis
article

Carbon Dioxide Emissions Forecasting and Scenario Analysis in China's Non-Metallic Mineral Products Industry

Shaomei Yang, Zhuolin Zhang
article en

Abstract

China's non-metallic mineral product industry (NMPI) is a typical high-emission industry; effective control of CO2 emissions from NMPI is the key to realising China's carbon peaking target. This study used STIRPAT to analyse the influential factors, and the CO2 emissions of the NMPI under various scenarios were forecasted from 2023 to 2040 using HHO-BPNN and scenario analysis. The results show that: NMPI will have difficulty realising carbon peaking by 2030 under the baseline scenario; however, under the scenarios of government regulation, technological breakthrough, and enhanced low-carbon, NMPI can achieve carbon peaking by 2030.

International Journal of Global WarmingVol. 35(2)
North China Electric Power University (CN)
Openalex Percentile: Top 86%
Geological Modeling and Analysis
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