Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022)

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Two-Stage Double Bootstrap Data Envelopment Analysis for Evaluating Efficiencies of Indonesia’s Hotel Sector

Authors
Rio Benecto Bire1, *, Asbi Nasar1, Yohana Mau1
1Politeknik Negeri Kupang, Kupang, Indonesia
*Corresponding author. Email: rio.bire@pnk.ac.id
Corresponding Author
Rio Benecto Bire
Available Online 30 December 2022.
DOI
10.2991/978-2-494069-83-1_2How to use a DOI?
Keywords
Hotel efficiency; tourism competitiveness; data envelopment analysis; two-stage double bootstrap
Abstract

Surprisingly, empirical research that endeavor on efficiency of hotels and its determinants are less studied, given the rapid growth and sudden turmoil surrounding the tourism industry of late. Such study is critical in terms of providing insights into mapping future plans for development. Accordingly, this research aims to analyze efficiencies of hotels concerning 34 provinces in Indonesia and the factors that influence the efficiency levels. From a time-frame of 2016 to 2020 data, we employed the innovative two-stage double bootstrap data envelopment analysis (DEA) to provide a blueprint of the accommodation sector’s competitiveness. Results show that the average hotel efficiency of Indonesian provinces is low, with the most efficient provinces are DKI Jakarta, Bali, Sulawesi Utara, Gorontalo, Papua Barat, and Papua. Moreover, testing the influence of 8 external variables towards hotel efficiency revealed negative relationships from population size, human development index (HDI), climate, formal workforce, crime rate, and micro and small enterprises. Positive influences were pointed towards unemployment rate and transportation. This research offers practical benefits as it provides general insights concerning hotel competitiveness which can be used as a basis for allocating adequate resources to enhance hotel performances.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
30 December 2022
ISBN
10.2991/978-2-494069-83-1_2
ISSN
2352-5398
DOI
10.2991/978-2-494069-83-1_2How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rio Benecto Bire
AU  - Asbi Nasar
AU  - Yohana Mau
PY  - 2022
DA  - 2022/12/30
TI  - Two-Stage Double Bootstrap Data Envelopment Analysis for Evaluating Efficiencies of Indonesia’s Hotel Sector
BT  - Proceedings of the International Conference on Applied Science and Technology on Social Science 2022 (iCAST-SS 2022)
PB  - Atlantis Press
SP  - 3
EP  - 9
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-83-1_2
DO  - 10.2991/978-2-494069-83-1_2
ID  - Bire2022
ER  -