IDEAS home Printed from https://ideas.repec.org/r/eee/touman/v33y2012i5p1122-1127.html
   My bibliography  Save this item

Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Zhang, Linjia & Botti, Laurent & Petit, Sylvain, 2016. "Destination performance: Introducing the utility function in the mean-variance space," Tourism Management, Elsevier, vol. 52(C), pages 123-132.
  2. Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
  3. Deng, Yaguo & Lopes Moreira da Veiga, María Helena & Wiper, Michael Peter, 2016. "Efficiency evaluation of Spanish hotel chains," DES - Working Papers. Statistics and Econometrics. WS 23897, Universidad Carlos III de Madrid. Departamento de Estadística.
  4. A. George Assaf & Alexander Josiassen & Haemoon Oh, 2016. "Internationalization and hotel performance," Tourism Economics, , vol. 22(3), pages 572-592, June.
  5. Huang, Chin-wei, 2018. "Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model," Tourism Management, Elsevier, vol. 65(C), pages 303-316.
  6. Jordi Moreno-Gené & Laura Sánchez-Pulido & Eduard Cristobal-Fransi & Natalia Daries, 2018. "The Economic Sustainability of Snow Tourism: The Case of Ski Resorts in Austria, France, and Italy," Sustainability, MDPI, vol. 10(9), pages 1-20, August.
  7. Song, Malin & Li, Hui, 2019. "Estimating the efficiency of a sustainable Chinese tourism industry using bootstrap technology rectification," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 45-54.
  8. Prysmakova, Palina, 2020. "Generation learning framework: Applying Margaret Mead's typology to agenda-setting stage of policy diffusion," Studia z Polityki Publicznej / Public Policy Studies, Warsaw School of Economics, vol. 7(2), pages 1-25, July.
  9. Laurent Botti & Sylvain Petit & Linjia Zhang, 2020. "Strategic decision concerning tourist origins portfolio: A decision process based on the ELECTRE method and applied to French Polynesia," Tourism Economics, , vol. 26(5), pages 830-843, August.
  10. Christian Hernández-Guedes & Jorge V Pérez-Rodríguez & Casiano Manrique-de-Lara-Peñate, 2024. "Input inefficiencies in the hotel industry. A non-radial directional performance measurement," Tourism Economics, , vol. 30(7), pages 1753-1779, November.
  11. Zha, Jianping & He, Lamei & Liu, Yang & Shao, Yuhong, 2019. "Evaluation on development efficiency of low-carbon tourism economy: A case study of Hubei Province, China," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 47-57.
  12. Hongwei Liu & Henry Tsai, 2018. "Total factor productivity growth and regional competitive analysis of China’s star-rated hotels," Tourism Economics, , vol. 24(6), pages 625-644, September.
  13. Apostolos Ampountolas, 2022. "Postcrisis REIT performance using financial ratios: A DEA approach," Tourism Economics, , vol. 28(2), pages 371-393, March.
  14. Ming-Chung Chang & Chiang-Ping Chen & Kuo-Wei Chou, 2025. "The Decomposition of Hotel Productivity Change in Taiwan from Overall and Disaggregate Perspectives," Tourism and Hospitality, MDPI, vol. 6(2), pages 1-22, April.
  15. Boris Radovanov & Branislav Dudic & Michal Gregus & Aleksandra Marcikic Horvat & Vincent Karovic, 2020. "Using a Two-Stage DEA Model to Measure Tourism Potentials of EU Countries and Western Balkan Countries: An Approach to Sustainable Development," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
  16. Goncalves, Olga, 2013. "Efficiency and productivity of French ski resorts," Tourism Management, Elsevier, vol. 36(C), pages 650-657.
  17. Chris van Heerden & Melville Saayman, 2018. "Sustainability of a national arts festival," Tourism Economics, , vol. 24(5), pages 576-592, August.
  18. Yin, Pengzhen & Chu, Junfei & Wu, Jie & Ding, Jingjing & Yang, Min & Wang, Yuhong, 2020. "A DEA-based two-stage network approach for hotel performance analysis: An internal cooperation perspective," Omega, Elsevier, vol. 93(C).
  19. Sheng-Hsiung Chiu & Tzu-Yu Lin & Wei-Ching Wang, 2024. "Investigating the spatial effect of operational performance in China’s regional tourism system," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
  20. Lado-Sestayo, Rubén & Fernández-Castro, Ángel Santiago, 2019. "The impact of tourist destination on hotel efficiency: A data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 272(2), pages 674-686.
  21. Yiyang Sun & Guolin Hou & Zhenfang Huang & Yi Zhong, 2020. "Spatial-Temporal Differences and Influencing Factors of Tourism Eco-Efficiency in China’s Three Major Urban Agglomerations Based on the Super-EBM Model," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
  22. Huang-Ping Yen & Po-Chi Chen & Kung-Cheng Ho, 2021. "Analyzing Destination Accessibility From the Perspective of Efficiency Among Tourism Origin Countries," SAGE Open, , vol. 11(2), pages 21582440211, April.
  23. Jianping Zha & Zhiyong Li, 2017. "Drivers of tourism growth," Tourism Economics, , vol. 23(5), pages 941-962, August.
  24. Bing Xia & Suocheng Dong & Duoxun Ba & Yu Li & Fujia Li & Haimeng Liu & Zehong Li & Minyan Zhao, 2018. "Research on the Spatial Differentiation and Driving Factors of Tourism Enterprises’ Efficiency: Chinese Scenic Spots, Travel Agencies, and Hotels," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
  25. Peng, Hongsong & Zhang, Jinhe & Lu, Lin & Tang, Guorong & Yan, Bingjin & Xiao, Xiao & Han, Ya, 2017. "Eco-efficiency and its determinants at a tourism destination: A case study of Huangshan National Park, China," Tourism Management, Elsevier, vol. 60(C), pages 201-211.
  26. Nickolaos G Tzeremes, 2019. "Hotel productivity: A robust Luenberger productivity indicator," Tourism Economics, , vol. 25(6), pages 987-996, September.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.