<p>Unlocking regional variations in transportation carbon emission intensity (TCEI) nuances is pivotal for strategically fulfilling China’s carbon neutrality ambitions. This study harnesses panel data from Chinese provinces spanning 2004 to 2021, employing the Dagum Gini coefficient, kernel density estimation, σ-convergence analysis, and β-convergence analysis to investigate the regional disparities, dynamic evolution, and convergence characteristics of TCEI in the transportation industry. The findings demonstrate: (1) China’s TCEI exhibits a downward trend, with a “west-high, east-low” distribution. (2) The overall difference in TCEI shows a narrowing trend, where interregional differences are the predominant source of the overall difference. (3) Multipolarity has eased nationwide, particularly in the eastern and western regions. In contrast, the central region has shown a recent trend toward multipolarity. (4) σ-convergence is present nationally and in both eastern and western regions, but absent in the central region. All regions demonstrate absolute and conditional β-convergence, with the conditional β-convergence rate exceeding the absolute one. These findings provide valuable references for formulating energy-saving and emission-reduction policies in China’s transportation industry.&#xa0;</p>

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Analysis of regional differences, dynamic evolution, and convergence of china’s transportation industry carbon emission intensity

  • Liudan Jiao,
  • Yuhang Jiang,
  • Ya Wu,
  • Xiaosen Huo,
  • Yu Zhang,
  • Liu Wu

摘要

Unlocking regional variations in transportation carbon emission intensity (TCEI) nuances is pivotal for strategically fulfilling China’s carbon neutrality ambitions. This study harnesses panel data from Chinese provinces spanning 2004 to 2021, employing the Dagum Gini coefficient, kernel density estimation, σ-convergence analysis, and β-convergence analysis to investigate the regional disparities, dynamic evolution, and convergence characteristics of TCEI in the transportation industry. The findings demonstrate: (1) China’s TCEI exhibits a downward trend, with a “west-high, east-low” distribution. (2) The overall difference in TCEI shows a narrowing trend, where interregional differences are the predominant source of the overall difference. (3) Multipolarity has eased nationwide, particularly in the eastern and western regions. In contrast, the central region has shown a recent trend toward multipolarity. (4) σ-convergence is present nationally and in both eastern and western regions, but absent in the central region. All regions demonstrate absolute and conditional β-convergence, with the conditional β-convergence rate exceeding the absolute one. These findings provide valuable references for formulating energy-saving and emission-reduction policies in China’s transportation industry.