The effects of corporate governance on airline performance: Production and marketing efficiency perspectives

This study explores the relationship between operating performance and corporate governance in 30 airline companies operating in the US. First, this study applies a two-stage Data Envelopment Analysis (DEA) to evaluate the production efficiency and marketing efficiency of the airlines. Our findings indicate that, in general, there is not as much dispersion in the relative productive efficiencies of the airlines as there is in their marketing efficiencies. The low-cost airlines, on average, are more efficient carriers than the full-service ones, but less efficient marketers. Secondly, truncated regression is used to explore whether the characteristics of corporate governance affect airline performance. The results demonstrate that corporate governance influences firm performance significantly. Finally, we address the managerial decision-making matrix and make suggestions to help airline managers improve performance.     

Does asset-light strategy contribute to the dynamic efficiency of global airlines?

This study analyses the effect of asset-light strategy on the dynamic efficiency of global airlines from 2008 to 2013. First, a dynamic data envelopment analysis is employed to estimate the dynamic efficiency of global airlines. Second, the degree of asset-lightness is computed by combining the concepts of the DuPont equation and financial ratios. Third, a multivariate analysis is performed to analyze the association between asset-light strategy and dynamic efficiency. The findings show that asset-light strategy significantly enables global airlines to have better corporate performance. Overall, this study suggests that global airlines should efficiently manage and allocate their light resources to sustain challenges in the dynamic global airline industry.     

Evaluating corporate social responsibility of airlines using entropy weight and grey relation analysis

This paper applies entropy weight and grey relation analysis to evaluate corporate social responsibility (CSR) performance of eight Chinese major airlines. This paper intends to achieve two main aims. First, this study uses entropy to find the relative weights of performance measures of CSR. In so doing, we find that on-time performance, accident rate, flight frequency, growth of employees revenue, and employees revenue are relatively most important measures. Second, based on the results of entropy analysis, this study ranks the airlines in terms of CSR performance by grey relation analysis. This result shows that most of the larger state-controlled airlines perform better in performance of CSR. Furthermore, the private airline has made relatively large improvement in its CSR performance. In addition, the listed airlines are better than non-listed airlines in CSR performance.     

Race to the bottom or swimming upstream: Performance analysis of US airlines

Data envelopment analysis is used to examine inter-temporal and peer group airline efficiency. Results for the US for 1985–2006 indicate that airline performance is converging over time. In particular, airlines inter-temporal inefficiency peaked earlier and then converged. Furthermore, using Tobit specifications it is seen that while demand intensity matters less in determining airlines inter-temporal inefficiency, their influence is stronger in determining peer group inefficiency. Block time, a representative of operational factors, tends to negatively impact airlines efficiency by imposing burdens on airline operations. Among the structural cost and revenue factors, fuel cost tends to affect inter-temporal inefficiency more robustly than it does to peer group efficiency. Labor pay tends to reduce inefficiency in case of inter-temporal while increasing peer group inefficiency. The events of September 11th had little or no impact on inter-temporal inefficiency but tended to reduce peer group inefficiency in a significant way. Finally, airlines efficiency tends to be robustly affected by block hours; reducing them increases efficiency.     

A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran

Due to the competition among companies, evaluating the performance is one of the most important issues for managers. Data Envelopment Analysis (DEA) - Range Adjusted Measure model (RAM) is one of the non-radial models to evaluate the performance of companies. This paper presents a fully fuzzy network DEA-RAM model for evaluating airlines and extends the network DEA-RAM model in the fully fuzzy framework. First, a network structure is designed for airlines and then, a DEA-RAM model is presented for calculating efficiency scores. To handle uncertainty in data, fully fuzzy approach is considered and finally, a multi-objective network model is proposed to calculate airlines’ efficiencies. To solve the proposed fully fuzzy DEA-RAM model, the lexicographic approach is used and the efficiency scores are reported as interval numbers. To illustrate the capability of the proposed fully fuzzy DEA-RAM model, the actual data of 14 Iranian airlines are gathered and the interval efficiencies of airlines are evaluated.     

Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis: A comment

This paper provides critical remarks and remedies to a recent article published in [Chiou, Y.-C., Chen, Y.-H., 2006. Route-based performance evaluation of Taiwanese domestic airlines using data envelopment analysis. Transportation Research Part E 42, (2) 116–127]. In their article, the authors adopted data envelopment analysis (DEA) to measure the route-based performance of Taiwanese domestic airlines. The present paper points out the faults or errors found in their article, in terms of variable selection, model selection, scale efficiency and scale economy, slack analysis, Tobit regression, and terminologies used. It is hoped to make more appropriate and much clearer the DEA applications to airline’s performance evaluation.     

Corporate governance,financial management decisions and firm performance: Evidence from the maritime industry

This study investigates the relation between corporate governance with (i) financial management decisions such as earnings management and sub-optimal investment, and (ii) firm performance in maritime firms. The study reveals that important corporate governance measures, such as insider ownership, board size, presence of corporate governance committees, the percentage of directors serving on the boards of other firms and CEO duality, are associated with financial management decisions and firm performance. The associations revealed can potentially assist in mitigating agency problems and improving financial management decisions and performance in maritime firms.     

Performance evaluation for airlines including the consideration of financial ratios

Most previous studies concerning airline performance evaluation focus merely on operational performance. Financial performance, however, which might directly influence the survival of an airline is usually ignored. The absence of financial ratios will directly lead to biased assessment. This paper tries to construct a performance evaluation process for airlines with financial ratios taken into consideration. First, a conceptual framework is redeveloped, based on the one created by Fielding et al. to help form performance indicators involving both transportation and finance aspects. Second, to overcome the problems of small sample size and unknown distribution of samples, the grey relation analysis is used to select the representative indicators and the TOPSIS method is used for the outranking of airlines. Third, the organizational characteristics of an airline are used to divide the total performance into three major departments of an airline: production, marketing, and management. The division of total performance is helpful for operators to recognize the performance of a department of an airline and to identify the responsibility of a department. Finally, a case study is conducted using the example of Taiwan's five major airlines. The empirical result shows that performance evaluation for airlines can be more comprehensive, if financial ratios are considered.     

The evolution of airport ownership and governance

This presentation examines the evolution of airport governance from public utility to modern business. I also briefly look at airport regulation and in this context ask the questions, do airports need to be regulated and if so, why? I consider the new thinking on two-sided platforms and examine whether this may be the new way of thinking about governance. In judging governance structures and regulation, I argue that dynamic efficiency has been underemphasized in the debate over privatization and that airline deregulation has been most important in shifting the balance of power between airlines and airports.     

Measuring airport quality from the airlines’ viewpoint: an application of data envelopment analysis

The main objective of this paper is to develop a model to determine the relative efficiency and quality of airports. This factor seems to have a strong effect on the airlines’ choice of hubs. Previous studies of airport quality have used subjective passenger data whereas in this study airport quality is defined from the airlines’ viewpoint. Accordingly, we have solicited airlines’ evaluations of a number of European and non-European airports by means of a detailed questionnaire. Statistical analysis of the median score has shown that these evaluations vary considerably relative to quality factors and airports. The key methodology used in this study to determine the relative quality level of the airports is Data Envelopment Analysis (DEA), which has been adapted through the use of principle component analysis. Of the set of West-European airports analyzed, Geneva, Milan and Munich received uniformly high, relative efficiency scores. In contrast, Charles de Gaulle, Athens and Manchester consistently appear low in the rankings.     

Productivity efficiency analysis of the airlines in China after deregulation

Using data envelopment analysis and the Malmquist productivity index, this paper studies productivity efficiency of various airlines in China after the Chinese government deregulated the aviation industry in 2005. The results show that the productivity efficiency of non-state-owned airlines improves rapidly and eventually exceeds state-owned airlines after the deregulation policy. Among the state-owned airlines, the productivity of the local airlines and their technical changes are better than those of the central airlines.     

Contract optimization with front-end fare discounts for airline corporate deals

This paper develops a non-linear programming model to design optimal corporate contracts for airlines stipulating front-end discounts for all nets, which are defined by combination of routes, cabin types, and fare classes. The airline’s profit is modeled using a multinomial logit function that captures the client’s choice behavior in a competitive market. Alternative formulations are employed to investigate the impact of price elasticity, demand, and competition on optimal discounting policies. A case study involving a major carrier is presented to demonstrate the model. The results indicate that airlines can increase revenues significantly by optimizing corporate contracts using the suggested model.     

Efficiency evaluation of Brazilian airlines operations considering the Covid-19 outbreak

In this paper we evaluate the operational efficiency of the Brazilian airlines considering the novel coronavirus Covid-19 outbreak. This novel coronavirus was first reported end of 2019 in Wuhan, China, however the powerful contamination spread among people forced the World Health Organization to characterize the Covid-19 as a pandemic in March of 2020. Here we analyze the main Brazilian airlines operations response due to lower demand because Covid-19 outbreak in first quarter of 2020 comparing with first quarter of 2019. The analysis here aims to verify the efficiency of airlines in domestic air transport market in Brazil through Multicriteria Data Envelopment Analysis (MCDEA) model. We used MCDEA to avoid limitations of classical DEA models for the case, especially the numbers of decision units and variable. In this paper we used an improvement of the MCDEA model to seek benchmarks considering a dual model all objective functions of MCDEA. The results highlight the challenges for the airlines, due to flight restriction and demand dropping. And also, the evaluation exposes the different company configuration of aircrafts age and network reconfiguration which was reflected by the efficiency difference on the period. The assessment shows the company with a better mix of aircraft models has a leverage on efficiency response due to unpredictable period as the pandemic Covid-19 outbreak.     

Balanced scorecard based performance measurement of European airlines using a hybrid multicriteria decision making approach under the fuzzy environment

The purpose of this study is to evaluate the performance of the European airlines, using a balanced scorecard perspective. Within this scope, a hybrid multi-criteria approach was used by combining the Fuzzy DEMATEL, Fuzzy ANP, and MOORA methods. The results demonstrate that customer dimensions and profit per customer are the most significant key factors in the balanced scorecard perspective. Additionally, the airline companies with the largest profit (per employee) and highest number of passengers and flights (per employee) had the best scores in the multidimensional performance results. Furthermore, the airline companies with the highest profitability and efficiency are more successful than other companies. Therefore, we recommend European airlines to focus on these aspects in order to improve their performance. This study makes an important contribution to literature by helping to solve a significant problem in the market with the proposed methodology.     

Concentrated ownership and corporate performance revisited: The case of shipping

This paper addresses the issue of ownership structure and corporate performance. It employs a sample of 107 internationally listed shipping firms (about 60% of the total) and examines their financial data and ownership concentration for the year 2009. Ownership is treated as an endogenous variable and GMM estimation is used incorporating the significant advance provided by Lewbel (1997). Empirical results suggest that concentrated ownership is positively and strongly associated with better firm performance in the shipping industry. Furthermore, this paper offers evidence on ownership concentration and shows that despite the different corporate governance settings, ownership structures are quite similar in shipping.     

Drivers of operational efficiency and its impact on market performance in the Indian Airline industry

India is considered to be one of the toughest aviation markets in the world, due to high fuel prices, overcapacity and intense price competition. It is therefore important to identify critical drivers of performance, which enable the airlines to survive and succeed in this emerging market with huge growth potential. In the current empirical study, we investigate the linkages between various performance drivers, operational efficiencies and market performance. An extensive data collection using primary and secondary sources enabled us to gather data on all the airlines operating in India, both private and public, for the period 2005–2012, on a variety of important parameters. We carried out a two-stage empirical analysis, which involved estimation of operational efficiencies during the first stage using Data Envelopment Analysis, and determination of performance drivers during the second stage using a two-way random effects GLS regression and also a Tobit model. Our findings suggest that while some of the structural and regulatory factors have an undesirable impact on airline performance, the low cost carriers in India have managed to achieve significant operational efficiencies. In addition, we find that, while cost efficiency is driven by a variety of factors, it is the technical efficiency which brings in better market performance through pricing power in the Indian airline industry.     

Management emphasis and performance in the airline industry: an exploratory multilevel analysis

Carrying through decisions in organisations is inherently micro-level, while the aggregated performance implication of decisions is a macro-level phenomena. This paper determines through exploratory factor analysis, factors associated with airline performance using a two-level bottom–up hierarchical approach. The determinant factors are used to test, through regression analysis, the relationship across lower and higher level factors and between the higher level factors and performance (distress versus non-distress). The results showed that airlines having higher relative score on productivity and brand image were less likely to be under financial distress, while airlines having higher relative emphasis on market power were more likely to be under financial distress.     

Efficiency of US airlines: A strategic operating model

This paper applies the unoriented DEA network methodology to measure US airlines' performance relative to that of peer airlines and identifies the sources of its inefficiency. The analysis of the results suggests that major US airlines are more efficient than national US airlines in spending operating expenses and gaining operating revenue, but there is no significant difference in their service supply and demand efficiencies.     

Measuring the productivity changes of Chinese airlines: The impact of the entries of non-state-owned carriers

The competitive environment of the Chinese airline industry has experienced rapid change since non-state-owned airlines entered the market in 2004. We focus on measuring the productivity changes in the Chinese airlines, especially state-owned ones after this change. The results show that non-state-owned airlines are performing better than state-owned airlines. The productivity changes of state-owned airlines are mainly driven by technical changes before or after the entries of non-state-owned airlines. They have little efficiency improvement. However, the productivity changes of private airlines are mainly due to efficiency improvement. The changes associated with international joint venture cargo carrier are due to its significant improvement in both the efficiency and technical changes.     

How fleet commonality influences low-cost airline operating performance: Empirical evidence

This paper investigates the effect of fleet commonality on operating performance of low-cost airlines. It examines the role fleet size and route length variations on this relationship. Results of an analysis of 28 airlines show that fleet commonality is positively associated with operating performance. Further, fleet size positively affects this relationship, whereas route length variations do not.