Productivity And Efficiency Measurement Of Airlines: Data Envelopment Analysis Using R

In today's competitive environment, airlines are doing everything they can to increase efficiencies while improving productivity. Productivity and Efficiency Analysis of Airlines: A Data Envelopment Analysis Approach helps achieve these goals through identifying and explaining the best strategies for measuring airline performance. Each chapter measures airline performance through the model of data envelopment analysis (DEA), as well as other models, such as stochastic frontier analysis (SFA), where applicable. The book thoroughly discusses topics such as financial performance, greenhouse gas management, and complex airline data analysis, employing appropriate models for each. Model methodologies are also discussed. The in-depth coverage is useful for all audiences, including students with a basic understanding of models, researchers, and airline operators and management. Productivity and Efficiency Analysis of Airlines: A Data Envelopment Analysis Approach provides codes for various data software, helping readers generate results and quantify efficient practices. These results provide airline decision makers with the essential information they need to create better policies and avoid underperforming practices. Comprehensive overview of the key strategies for measuring productivity and efficiency of airlines Guides users in generating airline performance results, with a focus on the data envelopment analysis (DEA) model Features software codes useful for generating empirical results, and best practices, promoting quality policy and management decisions

• | Author: Boon L. Lee
• | Publisher: Elsevier
• | Publication Date: Mar 02, 2023
• | Number of Pages: 274 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0128126965
• | ISBN-13: 9780128126967