EconPapers    
Economics at your fingertips  
 

An intertemporal efficiency and technology measurement for tourist hotel

Hsiao-Yin Chen, Chin-wei Huang and Yung-Ho Chiu
Additional contact information
Hsiao-Yin Chen: Kainan University
Chin-wei Huang: Kainan University

Journal of Productivity Analysis, 2017, vol. 48, issue 1, No 8, 85-96

Abstract: Abstract This study develops an intertemporal efficiency model designed to accommodate unbalanced panel data. In an intertemporal efficiency evaluation, there is no guarantee that sample sets of panel data over continuous periods will be balanced, especially in a competitive industry. Therefore, the proposed model is offering a more flexible approach to intertemporal efficiency assessment. The other main contribution is the establishment of indicators, TPR and IPR, which are used to identify the influences of frontier shift and individual change on efficiency. The proposed model is used to evaluate a dataset of tourist hotels from 2007 through 2011, and the empirical results provide several findings for tourist hotel management.

Keywords: Data envelopment analysis; Intertemporal efficiency; Technological change; Hotel; Unbalanced penal data (search for similar items in EconPapers)
JEL-codes: C61 D70 L83 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11123-017-0504-8 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:jproda:v:48:y:2017:i:1:d:10.1007_s11123-017-0504-8

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2

DOI: 10.1007/s11123-017-0504-8

Access Statistics for this article

Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski

More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-22
Handle: RePEc:kap:jproda:v:48:y:2017:i:1:d:10.1007_s11123-017-0504-8