摘要
测算2011—2021年中国省级层面数字技术发展与旅游产业竞争力水平,并综合运用面板向量自回归模型探讨数字技术与旅游产业竞争力之间的关系。研究发现两者存在双向影响:一方面,数字技术对旅游产业竞争力具有长期促进作用。另一方面,在短期内旅游产业竞争力先抑制后促进数字技术发展;在长期内则表现出抑制作用,说明旅游产业可能存在创新溢出功能欠缺和知识创新能力不足问题。此外,通过建立动态面板模型探讨短期动态效应,发现数字技术正向调节旅游产业效率和旅游产业结构,进而提升旅游产业竞争力。因此,在推进旅游产业高质量发展过程中,应充分发挥数字技术对旅游产业竞争力的促进作用,注重短期效果与长期效果之间的相互协调。
To measure the level of digital technology development and the competitiveness of tourism industry at the provincial level in China from 2011 to 2021,the relationship is to be explored between digital technology and the competitiveness of tourism industry by comprehensively using panel vector auto regressive model.Research has found that there is a bidirectional impact between the two:on the one hand,digital technology has a long-term promoting effect on the competitiveness of the tourism industry.On the other hand,in the short term,the competitiveness of the tourism industry is first suppressed and then promoted by the development of digital technology;in the long run,it shows a inhibitory effect,indicating that the tourism industry has problems with insufficient innovation spillover function and insufficient knowledge innovation ability.In addition,by establishing a dynamic panel model to explore short-term dynamic effects,it was found that digital technology positively regulates the efficiency and structure of the tourism industry,thereby enhancing the competitiveness of the tourism industry.Therefore,in the process of promoting the high-quality development of the tourism industry,digital technology should be fully utilized to promote the competitiveness of the tourism industry,and attention should be paid to the mutual coordination between short-term and long-term effects.
作者
冀雁龙
JI Yanlong(School of Yungangology,Shanxi Datong University,Datong,Shanxi 037009;School of Economics and Management,Xinjiang University,Urumqi,Xinjiang 830046)
出处
《贵州商学院学报》
2023年第4期49-59,共11页
Journal of Guizhou University Of Commerce
基金
山西省哲学社会科学规划课题“晋陕豫旅游合作空间结构与发展模式优化研究”(2020YY190)。
关键词
数字技术
旅游产业竞争力
面板向量自回归模型
动态面板模型
digital technology
competitiveness of the tourism industry
panel vector auto regressive model
dynamic panel model
