A multistage model to evaluate the efficiency the bar industry |
| |
| Institution: | 1. Department of Business and Accounting, Faculty of Economics and Business Administration, Universidad Nacional de Educación a Distancia (UNED), Paseo Senda del Rey, 11, 28040 Madrid, Spain;2. Department of Business and Accounting, Faculty of Economics and Business Administration. Universidad Nacional de Educación a Distancia (UNED), Paseo Senda del Rey, 11, 28040 Madrid, Spain;1. Rosen College of Hospitality Management, University of Central Florida, 9907 Universal Blvd., Orlando, FL, 32819, United States;2. Rosen College of Hospitality Management, University of Central Florida, Orlando, FL, United States;1. Department of Apparel, Events, and Hospitality Management, Iowa State University, Room 1084C, LeBaron Hall, 2302 Osborn Drive, Ames, IA 50011-1078, USA;2. School of Hospitality and Tourism Management, Purdue University, Room 245, Marriott Hall, 900 W. State Street, West Lafayette, IN 47907-2115, USA;1. School of Marketing, Ehrenberg-Bass Institute for Marketing Science, University of South Australia, Adelaide, Australia;2. Department of Agricultural Economics, Stellenbosch University, Stellenbosch, South Africa;1. School of Management, Shenzhen Polytechnic College, Xili, Nanshan Dist., Shenzhen, China;2. SHTM, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China;1. Ecole hôtelière de Lausanne, HES-SO//University of Applied Sciences Western Switzerland, Route de Cojonnex 18, 1000, Lausanne 25, Switzerland;2. Columbia University, 701 Uris Hall, New York, NY, 10027, United States;1. Department of Tourism, Hospitality & Events, University of Sunderland, UK;2. Sir Tom Cowie Campus, St. Peter’s Way, SR6 0DD, Sunderland, UK |
| |
| Abstract: | This research examines the efficiency of Spanish bar firms using a panel data of 1071 firms during the period 2005–2014. The analysis begins with the estimation of a dynamic multistage Data Envelopment Analysis (DEA) model to evaluate firm efficiency. Second, the study analyzes regional efficiency across regions and provinces. Third, the study sheds light on the link between efficiency scores, and location, economic conditions, labour skills and training, health, pollution problems and other environmental variables and information and communication technologies. The results offer novel insights into socioeconomic and environmental factors and regional efficiency by focusing on an industry that has yet to be explored. |
| |
| Keywords: | Efficiency Multistage DEA model Regional analysis Hospitality industry Bars Socioeconomic and environmental factors |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
