| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 02030 | |
| Number of page(s) | 5 | |
| Section | Machine Learning and Energy Industry Structure Forecast Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202021402030 | |
| Published online | 07 December 2020 | |
Driving Mechanism of China’s Tourism Foreign Direct Investment in the United States
1 School of Geography and Tourism, Shaanxi Normal University, SNNU, Xi’an, P.R. China
2 School of Geography and Tourism, Shaanxi Normal University, SNNU, Xi’an, P.R. China
a yyyheart@126.com
b chenying@snnu.edu.cn
Based on the 2000-2018 data of China’s direct investment in U.S. tourism industry, this paper used the random effect models to quantitatively measure the driving mechanism of Chinese direct investment in U.S. tourism industry. The results showed that: China’s direct investment in U.S. tourism is mainly influenced by the four driving forces of economic development, tourism development, cultural affinity, investment environment and system. “Cultural affinity” is the characteristic of the U. S. which is different from the FDI of Chinese tourism in the global perspective.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.