关键词: 旅游产业, 科技创新能力, 时空动态, 驱动因素, 中国

Abstract:

Science and technology innovation is not only the core driving force of the development of the tourism industry but also an important part of tourism innovation system. It affects the quality and speed of economic development of the tourism. Science and technology innovation can improve the tourism industrial structure and change the development mode of the tourism industry. This paper builds the structural model and evaluation index system of scientific and technological innovation ability of tourism industry from four respects including base, input, output and potential. Then, we analyzed and evaluated the overall level, space-time dynamics and influencing factors of scientific and technological innovation ability of China in 2004, 2008 and 2014. The results are as follows: from 2004 to 2014, the overall level of scientific and technological innovation ability of China had been growing. But there were obvious regional differences. All the three time sections presented the distributional pattern, namely East-West direction increasing and South-North direction having the inverted“U-shaped”pattern. The spatial autocorrelation analysis showed that there were significant and stable agglomeration features and some polarization features in the scientific and technological innovation ability of China. The type of spatial correlation mainly appeared to “HH” type and “LL” type. Specifically, they were the eastern coastal areas HH cluster and the western inland areas LL cluster. Simultaneously, its spatial structure presented characteristic of lock-in and road dependence. The spatial hot spots of scientific and technological innovation ability of China mainly concentrated in Beijing, Tianjin and a few eastern coastal provinces. And in 2014, Henan, Anhui, Fujian and Guangdong became the spatial hot spots. The spatial cold spots were mainly concentrated in the Midwest hinterland. There were spatial spillover effect of scientific and technological innovation activity among adjacent areas. The spatial error regression model and the geographically weighted regression analyses indicated that the tourism industry base, spatial spillover effect and policy system were three core driving forces of the change of time and space pattern of the scientific and technological innovation ability in China.

Key words: tourism industry, scientific and technological innovation ability, space-time dynamics, driving factors, China