Total factor productivity and regional difference of tourism industry of listed companies
Abstract Tourism industry has become a breakthrough point for China’s economic growth. As of 2019, the tourism economy has been maintaining a faster growth than the GDP growth rate, the entry and exit market has been developing steadily, the structural reform on the supply side has been effective, a...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-08-01
|
| Series: | Management System Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44176-023-00016-5 |
| _version_ | 1827708199250165760 |
|---|---|
| author | Hongyi Xu Yaqi Shen Yixi Wu Peng Xu |
| author_facet | Hongyi Xu Yaqi Shen Yixi Wu Peng Xu |
| author_sort | Hongyi Xu |
| collection | DOAJ |
| description | Abstract Tourism industry has become a breakthrough point for China’s economic growth. As of 2019, the tourism economy has been maintaining a faster growth than the GDP growth rate, the entry and exit market has been developing steadily, the structural reform on the supply side has been effective, and the per capita income of China’s residents has grown significantly. In this context, this paper selects fifteen listed tourism companies in China as samples, uses the Malmquist index method in DEA to measure the total factor productivity of these fifteen companies in China as samples, analyzes their resource allocation efficiency, and tests the robustness of the empirical results. Three conclusions are obtained: from the overall perspective, the total factor productivity of fifteen listed companies as a whole shows an upward trend during the 5-year period, mainly due to the technological progress; from the year perspective, the Malmquist productivity index of China’s tourism industry shows a turnaround change during the 5-year period, and the operational efficiency shows regional differences; the fluctuations of various listed tourism companies in China are influenced by the environment and policies. |
| first_indexed | 2024-03-10T17:01:22Z |
| format | Article |
| id | doaj.art-d9785d3c1e374997874d56c25ba5e657 |
| institution | Directory Open Access Journal |
| issn | 2731-5843 |
| language | English |
| last_indexed | 2024-03-10T17:01:22Z |
| publishDate | 2023-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Management System Engineering |
| spelling | doaj.art-d9785d3c1e374997874d56c25ba5e6572023-11-20T10:59:07ZengSpringerManagement System Engineering2731-58432023-08-012111010.1007/s44176-023-00016-5Total factor productivity and regional difference of tourism industry of listed companiesHongyi Xu0Yaqi Shen1Yixi Wu2Peng Xu3School of Management, Wuhan University of TechnologySchool of Management, Wuhan University of TechnologySchool of Management, Wuhan University of TechnologyUniversity of Science and Technology BeijingAbstract Tourism industry has become a breakthrough point for China’s economic growth. As of 2019, the tourism economy has been maintaining a faster growth than the GDP growth rate, the entry and exit market has been developing steadily, the structural reform on the supply side has been effective, and the per capita income of China’s residents has grown significantly. In this context, this paper selects fifteen listed tourism companies in China as samples, uses the Malmquist index method in DEA to measure the total factor productivity of these fifteen companies in China as samples, analyzes their resource allocation efficiency, and tests the robustness of the empirical results. Three conclusions are obtained: from the overall perspective, the total factor productivity of fifteen listed companies as a whole shows an upward trend during the 5-year period, mainly due to the technological progress; from the year perspective, the Malmquist productivity index of China’s tourism industry shows a turnaround change during the 5-year period, and the operational efficiency shows regional differences; the fluctuations of various listed tourism companies in China are influenced by the environment and policies.https://doi.org/10.1007/s44176-023-00016-5Listed tourismTotal factor productivityDEA-Malmquist index |
| spellingShingle | Hongyi Xu Yaqi Shen Yixi Wu Peng Xu Total factor productivity and regional difference of tourism industry of listed companies Management System Engineering Listed tourism Total factor productivity DEA-Malmquist index |
| title | Total factor productivity and regional difference of tourism industry of listed companies |
| title_full | Total factor productivity and regional difference of tourism industry of listed companies |
| title_fullStr | Total factor productivity and regional difference of tourism industry of listed companies |
| title_full_unstemmed | Total factor productivity and regional difference of tourism industry of listed companies |
| title_short | Total factor productivity and regional difference of tourism industry of listed companies |
| title_sort | total factor productivity and regional difference of tourism industry of listed companies |
| topic | Listed tourism Total factor productivity DEA-Malmquist index |
| url | https://doi.org/10.1007/s44176-023-00016-5 |
| work_keys_str_mv | AT hongyixu totalfactorproductivityandregionaldifferenceoftourismindustryoflistedcompanies AT yaqishen totalfactorproductivityandregionaldifferenceoftourismindustryoflistedcompanies AT yixiwu totalfactorproductivityandregionaldifferenceoftourismindustryoflistedcompanies AT pengxu totalfactorproductivityandregionaldifferenceoftourismindustryoflistedcompanies |