中国航空企业碳排放效率及影响因素分析

Analysis of carbon emission efficiency and influencing factors of Chinese aviation enterprises

  • 摘要: 随着“双碳”目标的深入推进,航空运输业高能耗、高排放的特征使其成为我国低碳转型的重点行业。基于中国15家航空企业2013—2022年的面板数据,运用考虑非期望产出的超效率模型(EBM)与生产指数模型(GML)研究其静态碳排放效率及碳排放效率的动态变化,并采用Tobit回归模型探究航空企业碳排放效率的影响因素。结果表明:1)中国航空企业静态碳排放效率均值为0.7061,整体处于中等偏上水平,呈现“稳步提升—快速增长—外部冲击下显著波动”的阶段特征;国有航空企业碳排放效率水平整体领先且新冠疫情后恢复最快,民营企业碳排放效率新冠疫情期间降幅最为显著且恢复较慢。2)动态碳排放效率方面,GML指数均值为1.0152,表明航空企业碳排放效率年均提升约1.52%;国有企业碳排放效率提升主要受限于技术效率变化,民营航空企业GML指数提升幅度最大,主要受到技术进步与技术效率的双重影响;地方航空企业碳排放效率提升主要受限于技术进步的影响。3)运输组织效率、平均航班时长等因素能显著提升碳排放效率,而运输单位能耗则是碳排放效率提升的主要制约因素。最后,提出具体的政策建议与技术路径。国有企业应优化现有资源利用效率,合理机队结构布局,加强航司运行精细化管理;地方企业应加大对节能降耗技术应用,如推进飞机减重与升级节油改装技术等;民营企业则应兼顾效率提升与技术进步。政府则应逐步完善政策体系,加大对航空企业节能改造与技术升级的支持力度,完善可持续航空燃料产业链布局,推动航空业绿色低碳转型。

     

    Abstract: With the in-depth advancement of the "dual carbon" goals, the high energy consumption and high emission characteristics of the air transport industry have made it a key sector in China's low-carbon transition. Based on the panel data of 15 Chinese aviation enterprises from 2013 to 2022, this study employed the super-efficiency EBM model considering undesirable outputs and the GML productivity index model to investigate their static carbon emission efficiency and its dynamic changes. The Tobit regression model was adopted to explore the influencing factors of carbon emission efficiency of aviation enterprises. The results showed that: 1) The average static carbon emission efficiency of Chinese aviation enterprises was 0.7061, which was overall at a medium-to-upper level, showing the phased characteristics of "steady improvement - rapid growth - significant fluctuation under external shocks". State-owned aviation enterprises were generally leading in carbon emission efficiency and had recovered the fastest after the COVID-19 pandemic, while private aviation enterprises had experienced the most significant decline in carbon emission efficiency during the pandemic and a slower recovery. 2) In terms of dynamic efficiency, the average GML index was 1.0152, indicating that the carbon emission efficiency of aviation enterprises had increased by about 1.52% annually. The improvement of carbon emission efficiency of state-owned enterprises was mainly constrained by changes in technical efficiency, and private aviation enterprises had achieved the largest growth in the GML index, mainly driven by the dual effects of technological progress and changes in technical efficiency. The improvement of carbon emissions of local aviation enterprises was mainly limited by the impact of technological progress. 3) Factors such as transportation organization efficiency and average flight duration significantly improved carbon emission efficiency, while unit transportation energy consumption was the main constraint. Finally, specific policy recommendations and technical pathways were proposed. State-owned enterprises should optimize the efficiency of existing resource utilization, rationally structure and deploy their fleets, and strengthen the refined management of airline operations. Local enterprises should increase the application of energy-saving and consumption-reducing technologies, such as promoting aircraft weight reduction and upgrading fuel-saving retrofitting technologies. Private enterprises should balance efficiency improvements with technological advancement. The government should progressively refine its policy framework, increase support for energy-saving retrofits and technological upgrades within aviation enterprises, improve the sustainable aviation fuel (SAF) supply chain, and drive the industry's transition towards green and low-carbon operations.

     

/

返回文章
返回