Analysing Regional Disparities and Shifting Trends in Transportation Carbon Emissions in China

This study examines the regional data in transportation carbon emissions across China and investigates the shifting trends of the carbon emission centroid over time. Using the IPCC (2006) carbon emission calculation formula, emissions data from 30 provinces for the years 2005, 2010, 2015, and 2020 were analyzed using an Exploratory Spatial Data Analysis (ESDA) model. The Economic Centroid Model and standard deviation ellipse were applied to assess the movement of the carbon emission centroid, which was consistently located in Henan Province. Further analysis using the Kaya model identifies the key factors influencing transportation carbon emissions in Henan from 2005 to 2020. The findings offer insights into regional carbon reduction strategies and the challenges in achieving China's dual carbon goals.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/icebe62490.2024.00055
Citations
1
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.20
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Analysing Regional Disparities and Shifting Trends in Transportation Carbon Emissions in China

Xin Lu, Jiaying Huang, Dehao Wu, Zhonghua Shen
1 citations
Vehicle emissions and performance
0.20
article

Analysing Regional Disparities and Shifting Trends in Transportation Carbon Emissions in China

Xin Lu, Jiaying Huang, Dehao Wu, Zhonghua Shen
article en
1 citations

Abstract

This study examines the regional data in transportation carbon emissions across China and investigates the shifting trends of the carbon emission centroid over time. Using the IPCC (2006) carbon emission calculation formula, emissions data from 30 provinces for the years 2005, 2010, 2015, and 2020 were analyzed using an Exploratory Spatial Data Analysis (ESDA) model. The Economic Centroid Model and standard deviation ellipse were applied to assess the movement of the carbon emission centroid, which was consistently located in Henan Province. Further analysis using the Kaya model identifies the key factors influencing transportation carbon emissions in Henan from 2005 to 2020. The findings offer insights into regional carbon reduction strategies and the challenges in achieving China's dual carbon goals.

Guangdong University of Foreign Studies (CN), Leeds Trinity University (GB), Bournemouth University (GB)
Climate action
Openalex Percentile: Top 47%
Vehicle emissions and performance
0.20
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