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Brazilian airport economics from a geographical perspective

机译:从地域角度看巴西机场经济学

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This paper discusses the revenue and expenditure functions of a sample of Brazil's airports administered by Infraero, the Brazilian State enterprise responsible for administering the country's major airports. It aims to identify what volume of movement at the airports associates with positive net earnings, i.e., the break-even point between revenue and expenditure, in view of aspects of airport movement and geographical factors. It examines airports serving regular airlines and with movement of up to 8 million passengers in 2010. Revenues and expenditures are explained by total passengers embarked and disembarked at each airport and by the potential of the airport's 'anchor city'. Multiple regression analysis achieved a high level of explanation for the dependent variables studied, i.e., revenues and expenditures. The model explains 81% and 91% of the variations in revenues and expenditures, respectively. The analysis shows that, considering the ranking of cities, Brazilian airports with less than 2 million passengers tend to operate at a financial loss, those with between 2 and 3 million passengers are at the transition stage between positive and negative earnings, while airports with more than 3 million passengers tend to make gains. However, the simulation modelling shows that the break-even point between expenditure and revenue functions can vary considerably when different 'city potentials' are considered. In this respect, the modelling offers investors a tool for analyzing passenger demand risk in the light of expectations for Brazilian cities' potential.
机译:本文讨论了巴西Infraero所管理的巴西机场样本的收支功能,Infraero是负责管理该国主要机场的巴西国有企业。它旨在根据机场的移动情况和地理因素,确定机场的移动量与正的净收益(即收支平衡点)有关。它检查的是为常规航空公司服务的机场,2010年旅客流量达到800万人次。收入和支出的解释是每个机场上落的乘客总数和机场“锚点城市”的潜力。多元回归分析对所研究的因变量(即收支)进行了高度解释。该模型分别解释了收入和支出差异的81%和91%。分析表明,考虑到城市的排名,载客量少于200万的巴西机场往往会蒙受经济损失,载客量在2到300万之间的巴西机场正处于正收益与负收益的过渡阶段,而载客量更多的机场超过300万人次的旅客往往会有所收获。但是,仿真模型显示,当考虑不同的“城市潜力”时,支出和收入函数之间的收支平衡点可能会发生很大变化。在这方面,该模型为投资者提供了根据对巴西城市潜力的预期分析乘客需求风险的工具。

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