TY - GEN
T1 - Efficiency evaluation of cultural tourism industry based on DEA method
AU - Xiuli, Wang
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/12/9
Y1 - 2022/12/9
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Cultural tourism industry
KW - DEA model
KW - Digital cultural tourism
KW - efficiency evaluation
UR - https://www.scopus.com/pages/publications/85166295216
U2 - 10.1145/3598438.3598444
DO - 10.1145/3598438.3598444
M3 - 会议稿件
AN - SCOPUS:85166295216
T3 - ACM International Conference Proceeding Series
SP - 38
EP - 44
BT - Proceedings of the 2022 3rd International Symposium on Big Data and Artificial Intelligence, ISBDAI 2022
PB - Association for Computing Machinery
T2 - 3rd International Symposium on Big Data and Artificial Intelligence, ISBDAI 2022
Y2 - 9 December 2022 through 10 December 2022
ER -