Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province
Amid escalating global concerns over climate change and sustainable development, carbon emissions have emerged as a critical issue for the international community. The control of carbon dioxide (CO<sub>2</sub>) emissions is particularly crucial for meeting the objectives of the Paris Agr...
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MDPI AG
2025-03-01
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| Online Access: | https://www.mdpi.com/1996-1073/18/7/1630 |
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| author | Changjiang Mao Jian Luo Shengyang Jiao Bin Zhao |
| author_facet | Changjiang Mao Jian Luo Shengyang Jiao Bin Zhao |
| author_sort | Changjiang Mao |
| collection | DOAJ |
| description | Amid escalating global concerns over climate change and sustainable development, carbon emissions have emerged as a critical issue for the international community. The control of carbon dioxide (CO<sub>2</sub>) emissions is particularly crucial for meeting the objectives of the Paris Agreement. This study applied the LMDI decomposition method and a BP neural network model to thoroughly analyse the factors influencing carbon emissions in Henan Province’s transportation sector and forecast future trends. Our core contribution is the development of an integrated model that quantifies the impact of key factors on carbon emissions and offers policy recommendations. This study concludes that by optimizing the energy structure and enhancing energy efficiency, China can meet its carbon peak and neutrality targets, thereby providing scientific guidance for sustainable regional development. |
| format | Article |
| id | doaj-art-6383441a1f6746f9b37353410378c19e |
| institution | OA Journals |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-6383441a1f6746f9b37353410378c19e2025-08-20T02:09:15ZengMDPI AGEnergies1996-10732025-03-01187163010.3390/en18071630Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan ProvinceChangjiang Mao0Jian Luo1Shengyang Jiao2Bin Zhao3School of Automobile and Transportation, Xihua University, Chengdu 610039, ChinaSchool of Automobile and Transportation, Xihua University, Chengdu 610039, ChinaSchool of Automobile and Transportation, Xihua University, Chengdu 610039, ChinaSchool of Automobile and Transportation, Xihua University, Chengdu 610039, ChinaAmid escalating global concerns over climate change and sustainable development, carbon emissions have emerged as a critical issue for the international community. The control of carbon dioxide (CO<sub>2</sub>) emissions is particularly crucial for meeting the objectives of the Paris Agreement. This study applied the LMDI decomposition method and a BP neural network model to thoroughly analyse the factors influencing carbon emissions in Henan Province’s transportation sector and forecast future trends. Our core contribution is the development of an integrated model that quantifies the impact of key factors on carbon emissions and offers policy recommendations. This study concludes that by optimizing the energy structure and enhancing energy efficiency, China can meet its carbon peak and neutrality targets, thereby providing scientific guidance for sustainable regional development.https://www.mdpi.com/1996-1073/18/7/1630carbon emissions forecastingLMDI decomposition methodBP neural networkpolicy recommendations |
| spellingShingle | Changjiang Mao Jian Luo Shengyang Jiao Bin Zhao Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province Energies carbon emissions forecasting LMDI decomposition method BP neural network policy recommendations |
| title | Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province |
| title_full | Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province |
| title_fullStr | Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province |
| title_full_unstemmed | Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province |
| title_short | Logarithmic Mean Divisia Index Analysis and Dynamic Back Propagation Neural Network Prediction of Transport Carbon Emissions in Henan Province |
| title_sort | logarithmic mean divisia index analysis and dynamic back propagation neural network prediction of transport carbon emissions in henan province |
| topic | carbon emissions forecasting LMDI decomposition method BP neural network policy recommendations |
| url | https://www.mdpi.com/1996-1073/18/7/1630 |
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