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网络视角下航空公司竞争态势及影响因素研究

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为剖析疫情时期中国国内主要客运航空公司竞争格局和竞争优势的影响因素,利用TOP-SIS-熵值法和修正Huff模型量化航空公司在航线上的竞争优势强度,构建基于优势强度的航空公司-航线赋权二分网络,从网络的视角对航空公司竞争优势市场划分及其静态特征进行研究,利用Tobit回归模型剖析竞争优势的影响因素.研究表明:在疫情时期航空公司多市场接触程度较低,三大航空公司竞争优势明显,其优势在城市分布上差异巨大,主要集中在其基地城市.HU、3U等航空公司在市场竞争中优势不明显,更多表现为竞争且主要围绕沿海二线城市展开;航空公司竞争优势受到多因素共同制约,疫情时期收益更多表示成本控制的能力,低成本航空公司9C相较HU、3C等航空公司更具优势.
On the Competitive Situation of Airlines and the Influencing Factors from the Perspective of Network
In order to analyze the competitive pattern and factors influencing the competitive ad-vantage of China's major domestic passenger airlines during the epidemic period,we use the TOPSIS-Entropy method and a modified Huff model to quantify the competitive advantage strength of airlines on routes,construct a weighted bipartite network of airlines-routes empower-ment based on advantage strength,and study the market segmentation of airlines'competitive advantage and its static characteristics from the perspective of network.The Tobit regression model is used to analyze the factors influencing competitive advantage.The study shows that dur-ing the epidemic period,the airlines have a low degree of multi-market exposure,and the three major airlines have obvious competitive advantages,which vary greatly in city distribution and are mainly concentrated in their base cities;HU,3U and other airlines have less obvious advanta-ges in market competition and are more competitive and mainly around the second-tier coastal cit-ies.The competitive advantage of airlines is constrained by a combination of factors,and the rev-enue during the epidemic period is more indicative of the ability to control cost.

competitionairline-airline weighted bipartite networkTOPSIS-Entropy methodmodified Huff modelcommunityTobit model

汪瑜、雷迪、于娇娇、温国兵

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中国民用航空飞行学院经济与管理学院,四川广汉 618307

竞争态势 航空公司-航线赋权二分网络 TOPSIS-熵值法 修正Huff模型 社团 Tobit模型

国家自然科学基金民航联合基金重点项目中国民航飞行学院研究所计划项目

U2033213JG2022-21

2024

复杂系统与复杂性科学
青岛大学

复杂系统与复杂性科学

CSTPCD北大核心
影响因子:0.798
ISSN:1672-3813
年,卷(期):2024.21(1)
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