Carbon tax incentive policy towards air passenger transport carbon emissions reduction
Carbon tax incentive policy towards air passenger transport carbon emissions reduction
复制标题
航空客运碳减排碳税激励政策
DOI：
10.1016/j.trd.2020.102441
复制
发表时间：
2020-08-01
影响因子：
7.6
通讯作者：
Lv, Chengwei
中科院分区：
文献类型：
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作者：
Qiu, Rui;Xu, Jiuping;Lv, Chengwei
随着航空业的快速发展，航空客运的化石燃料消耗和碳排放越来越受到人们的关注。为了减少化石燃料的消耗和碳排放，本文研究了航空客运碳税激励政策的制定问题，其中碳税激励政策包括碳税和竞争性退税。然后提出了一种双层规划模型来解决这一问题。基于ICAO和航空公司的相关数据，提出了一种结合遗传算法和模糊逻辑控制器的交互式求解方法。结果表明，在适当的条件下，该激励政策能够激励航空公司提高燃油消耗和排放绩效。此外，政府应根据应用效果和财政支持有效控制碳税激励水平，航空公司可以在激励政策下选择适当的改进策略和碳税转移比例。
With the rapid expansion of the aviation industry, air passenger transport fossil fuel consumption and carbon emissions have attracted increasing attention. To reduce fossil fuel consumption and carbon emissions, this paper investigates an air passenger transport carbon tax incentive policy setting problem, in which the carbon tax incentive policy includes a carbon tax and competitive tax rebates. Then a bi-level programming model is proposed to solve this problem. An interactive solution approach combining a genetic algorithm with fuzzy logic controllers is developed to find solutions based on the ICAO and airlines related data. The results indicate that the incentive policy could encourage airlines to improve fuel consumption and emission performance under proper conditions. Besides, the government should effectively control the carbon tax incentive level based on application effect and financial support, and airlines could select proper improvement strategies and carbon tax transfer ratios under the incentive policy.