{"title":"Behavior of costs and its relation to operational efficiency measures in airline companies","authors":"I. F. Lopes, I. Beuren","doi":"10.4013/BASE.2017.141.03","DOIUrl":null,"url":null,"abstract":"This study aims at identifying the behavior of costs and its relation to operational efficiency measures in companies in the Brazilian airline industry. Descriptive research was conducted from economic and financial data and operational efficiency measures (number of employees and aircraft acquired), from 2001 to 2013, collected in the Anuario do Transporte Aereo of ANAC. In terms of data analysis, statistical modeling panel data was applied with the test Pooled Ordinary Least Squares (POLS), based on studies by Anderson et al. (2003) and Anderson et al. (2013). The findings show the existence of the asymmetry phenomenon in the behavior of costs of the companies searched in the Brazilian airline industry. Furthermore, it was also found that there is a significant influence from the number of employees and the number of aircraft acquired in the behavior of costs when there is an increase or a decrease of those variables. As conclusion, there is asymmetry in the behavior of costs, and both the number of employees and of aircraft influence the behavior of costs of the companies searched. These results reinforce the assumptions of the Sticky Costs Theory and indicate research gaps that encourage investigations about the behavior of costs in Brazil. Keywords: cost behavior, operational efficiency measures, companies in the Brazilian airline industry.","PeriodicalId":55356,"journal":{"name":"Biotechnologie Agronomie Societe et Environnement","volume":"14 1","pages":"30-46"},"PeriodicalIF":0.9000,"publicationDate":"2017-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnologie Agronomie Societe et Environnement","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.4013/BASE.2017.141.03","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims at identifying the behavior of costs and its relation to operational efficiency measures in companies in the Brazilian airline industry. Descriptive research was conducted from economic and financial data and operational efficiency measures (number of employees and aircraft acquired), from 2001 to 2013, collected in the Anuario do Transporte Aereo of ANAC. In terms of data analysis, statistical modeling panel data was applied with the test Pooled Ordinary Least Squares (POLS), based on studies by Anderson et al. (2003) and Anderson et al. (2013). The findings show the existence of the asymmetry phenomenon in the behavior of costs of the companies searched in the Brazilian airline industry. Furthermore, it was also found that there is a significant influence from the number of employees and the number of aircraft acquired in the behavior of costs when there is an increase or a decrease of those variables. As conclusion, there is asymmetry in the behavior of costs, and both the number of employees and of aircraft influence the behavior of costs of the companies searched. These results reinforce the assumptions of the Sticky Costs Theory and indicate research gaps that encourage investigations about the behavior of costs in Brazil. Keywords: cost behavior, operational efficiency measures, companies in the Brazilian airline industry.
本研究旨在确定巴西航空业公司的成本行为及其与运营效率指标的关系。从2001年到2013年,根据ANAC的Anuario do Transporte Aereo中收集的经济和财务数据以及运营效率指标(获得的员工和飞机数量)进行了描述性研究。在数据分析方面,根据Anderson等人(2003)和Anderson等人的研究,统计建模面板数据采用了汇集普通最小二乘法(POLS)测试。(2013)。研究结果表明,在巴西航空业中,被搜索公司的成本行为存在不对称现象。此外,研究还发现,当这些变量增加或减少时,员工数量和购买的飞机数量对成本行为有显著影响。因此,成本行为存在不对称性,员工数量和飞机数量都会影响被搜索公司的成本行为。这些结果强化了粘性成本理论的假设,并指出了鼓励对巴西成本行为进行调查的研究空白。关键词:成本行为,运营效率措施,巴西航空业公司。
期刊介绍:
BASE publishes original papers in the fields of life sciences: environmental science and technology, forest and natural space management, agronomical science, and chemistry and bio-industries.