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我国航空公司运营效率的影响因素研究——基于动态网络SBM和门槛模型

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"十四五"期间民航业呈现新发展局面,探讨我国航空公司运营效率的影响因素有助于分析民航业的现状与管理成效,推进民航业有序高效地发展.将航空公司运营视为生产子过程和服务子过程两个阶段,选择考虑内生权重的动态网络数据包络分析模型测量我国航空公司的效率,采用面板数据回归模型和门槛模型探究影响效率的因素.研究结果表明:国内航空公司运营效率欠佳,服务子过程整体表现优于生产子过程;航班正常率对生产子过程效率具有显著正向影响,投诉率对生产和服务子过程均具有负向作用;机队组合对服务子过程效率的影响具有门槛效应,在不同水平下对航空公司运营效率有不同影响.因此,建议我国航空公司优化机队组合,降低运营成本;改进管理模式,减少航班延误;推动服务创新,提高服务质量.
Research on Influencing Factors of Operating Efficiency of Chinese Airlines:Based on Dynamic Network SBM and Threshold Model
This paper studies the factors affecting the operational efficiency of Chinese airlines during the 14th Five-Year Plan period,aiming to analyze the current situation and management effectiveness of the civ-il aviation industry and promote efficient industry development.The study divides airline operations into production and service subprocesses,measures efficiency using a dynamic network SBM model,and explores influencing factors using the panel data regression model and threshold model.It finds that the operational ef-ficiency of domestic airlines is generally low,with the service subprocess performing better than the produc-tion subprocess.The flight punctuality rate has a significant positive impact on the efficiency of the produc-tion subprocess,while the complaint rate negatively affects the efficiency of both subprocesses.Fleet compo-sition has a threshold effect on the efficiency of the service subprocess,with different levels affecting opera-tional efficiency differently.Therefore,it is recommended that airlines optimize their fleet composition to re-duce operational costs,improve management models to reduce flight delays,and promote service innovation to enhance service quality.The paper first points out that the civil aviation industry faces the requirement for high-quality transfor-mation during the 14th Five-Year Plan period,and the efficient operation of airlines is crucial for the healthy development of the industry.The complex and ever-changing external environment leads to opera-tional imbalances,making it essential to identify the key factors affecting operational efficiency.It then re-views the literature related to airline operational efficiency,pointing out the limitations of existing research and presenting the research methods and contributions of this paper.In the theoretical analysis and research hypothesis section,the paper selects factors affecting operational effi-ciency based on the operational characteristics of the airlines,including fleet composition,flight punctuality rate,and complaint rate,and proposes the corresponding hypotheses.In the model setting section,it de-scribes in detail the efficiency measurement model and the selection of efficiency evaluation indicators,in-cluding input indicators,intermediate variables,output indicators,and carryover variables.The sample selec-tion and data source section explains the research period and the selection of sample companies,as well as the data sources.The empirical analysis section presents the results of panel data regression,showing that flight punctuality rate and complaint rate have significant impact on the efficiency of the production subprocess,while fleet composition has significant impact on the efficiency of the service subprocess.The existence test of the threshold effect and the construction of the threshold model further explore the impact of significant vari-ables on efficiency at different levels.Finally,the paper proposes some management recommendations,in-cluding optimizing fleet composition,improving management models,and promoting service innovation to enhance the operational efficiency of airlines.In summary,this paper provides theoretical basis and practical guidance for improving the operational effi-ciency of Chinese airlines through the dynamic network SBM model and threshold model,which has refer-ence value for future efficiency improvement efforts by Chinese airlines.

airlinesoperational efficiencydynamic network SBMthreshold model

郑宇婷、孔舒君、刘丹

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福州大学 经济与管理学院,福建 福州 350108

航空公司 运营效率 动态网络SBM 门槛模型

2024

物流技术
中国物流生产力促进中心 中国物资流通学会物流技术经济委员会 全国物资流通科技情报站 湖北物资流通技术研究所

物流技术

影响因子:0.506
ISSN:1005-152X
年,卷(期):2024.43(12)