Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3598438.3598444acmotherconferencesArticle/Chapter ViewAbstractPublication PagesisbdaiConference Proceedingsconference-collections
research-article

Efficiency evaluation of cultural tourism industry based on DEA method

Published: 26 June 2023 Publication History

Abstract

In order to study the utilization efficiency of cultural tourism resources in China, this paper takes 31 provinces in mainland China as the research object, selects relevant data in 2019, and makes empirical analysis with DEA model. The research results show that five of the 31 provincial regions have reached DEA efficiency, while the comprehensive efficiency, technical efficiency and scale efficiency of the utilization of cultural tourism resources in the other 26 provinces have not reached the optimal value. So, the conclusion is as follows: it is suggested to continue to promote the supply-side structural reform of the tourism industry, optimize the industrial structure and implement the transformation of digital cultural tourism to promote industrial upgrading. At the same time, we should further promote the deep integration of cultural and tourism to promote the connotative development of cultural and tourism combined with the influence of artificial intelligence on tourism. Implement the strategy of coordinated development of regional tourism and promote the symbiotic development of regional tourism.

References

[1]
Wang Hui. The Influence of effective supply factors of high-quality tourism on the efficiency of Chinese tourism industry and regional differences [J]. Journal of zhejiang industry and commerce university, 2021 (03): 117-128. The / j.carol carroll nki cn33-1337 / c. 2021.03.011.
[2]
Chen Hongling, Zheng Xin, Zhao Zan. Spatio-temporal Dynamic Evolution and Driving Mechanism of Chinese Culture and Tourism Industry Convergence [J]. Resource Development & Market, 2002,38(01):99-106.
[3]
Tian Hong, Zhao Qingpeng. Evaluation and Influencing Factors of Regional Tourism eco-efficiency under high quality development: A case study of Shandong Province [J]. Resources and environment in arid areas, 2022, 4 (12) : 201-208. The / j.carol carroll nki jalre. 2022.320.
[4]
Ding J Y. Study on tourism efficiency of eco-cultural tourism circle in western Hubei based on DEA model [J]. Land and natural resources research, 2018 (01): 73-74. The / j.carol carroll nki TNRS. 2018.01.021.
[5]
Sun Panpan, Xia Jiechang. Efficiency of China's provincial tourism industry: index construction and empirical analysis [J]. Journal of economics and management research, 2014 (12): 70-79. The / j.carol carroll nki issn1000-7636.2014.12.009.
[6]
Zhang Xuan, Duan Zhengliang, Geng Changwei. Study on the Coordination Relationship between Urban tourism Industry efficiency and Economic Development: A Case study of 14 cities and prefectures in Hunan Province [J]. Urban Journal,2017,38(04):75-81.
[7]
Guan Wei, Meng Qingna, Zhang Mengfei, Xu Shuting. Study on urban tourism efficiency of Liaoning Coastal Economic Zone based on DEA model [J]. Resource Development & Market,2018,34(03):439-444.
[8]
Wei Jun, Hu Jing, Zhu Lei, Yu Jie. Hubei and anhui provinces tourism development efficiency of time and space evolution and influence mechanism [J]. Journal of economic geography, 2018, 38 (8): 187-195. The / j.carol carroll nki JJDL. 2018.08.023.
[9]
Wang Zhaofeng, Yang Xian. Study on Efficiency Evaluation of Tourism industry in Central Urban Agglomeration Based on DEA-Malmquist Model [J]. Tourism science, 2018, 32 (3): 27-38. / j.carol carroll nki lykx. 2018.03.004.
[10]
Hu Hanhui, Xie Qinghong. Data Envelopment analysis: Advances and Prospects in China (1993-1997) [J]. Application of systems Engineering theory and Method,1998(04):5-15.
[11]
George Assaf A. Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier [J] Tourism Management,2011,33(5) :1122-1127
[12]
Mika Kortelainen.Dynamic environmental performance analysis: A Malmquist index approach [J]Ecological Economics,2007,64(4) :701-715
[13]
Rui Li Spatial characteristics of development efficiency for urban tourism in eastern China: A case study of six coastal urban agglomerations[J]. Journal of Geographical Sciences, 2014, 24(6): 1175-1197.
[14]
Long Zhao, Jianqiang Gu, Jawad Abbas, Dervis Kirikkaleli & Xiao-Guang Yue (2022): Does quality management system help organizations in achieving environmental innovation and sustainability goals? A structural analysis, Economic Research-Ekonomska Istraživanja.
[15]
B. Guan, X. Yue, Y. Luan and Y. Zheng, "Preparation of Graphene/Manganese Dioxide Supercapacitor Electrode Sheet," 2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA), 2021, pp. 329-332.
[16]
L. Zheng, B. Guan and X. Yue, "Research Progress of Electrochemical Energy Storage Materials," 2021 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA), 2021, pp. 333-336.

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
ISBDAI '22: Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence
December 2022
204 pages
ISBN:9781450396882
DOI:10.1145/3598438
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 June 2023

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Artificial intelligence
  2. Cultural tourism industry
  3. DEA model
  4. Digital cultural tourism
  5. efficiency evaluation

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ISBDAI 2022

Acceptance Rates

Overall Acceptance Rate 70 of 340 submissions, 21%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 15
    Total Downloads
  • Downloads (Last 12 months)7
  • Downloads (Last 6 weeks)0
Reflects downloads up to 13 Nov 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media