地球信息科学学报 ›› 2017, Vol. 19 ›› Issue (5): 613-624.doi: 10.3724/SP.J.1047.2017.00613

• 地理空间分析综合应用 • 上一篇    下一篇

中国旅游产业科技创新能力的时空动态和驱动因素分析

王毅(), 陈娱*(), 陆玉麒, 丁正山, 车冰清   

  1. 1. 南京师范大学地理科学学院,南京 210023;
    2. 江苏省地理信息资源开发与利用协同创新中心,南京 210023
  • 收稿日期:2016-07-29 修回日期:2016-12-20 出版日期:2017-05-20 发布日期:2017-05-27
  • 通讯作者: 陈娱 E-mail:wangyearn@163.com;chenyu@lreis.ac.cn
  • 作者简介:

    作者简介:王 毅(1989- ),男,博士生,研究方向为空间结构与区域发展。E-mail:wangyearn@163.com

  • 基金资助:
    国家自然科学基金重点项目(41430635);国家自然科学基金项目(41501122)

Analysis of the Space-time Dynamics and Influencing Factors of Scientific and Technological Innovation Ability of Tourism Industry in China

WANG Yi(), CHEN Yu*(), LU Yuqi, DING Zhengshan, CHE Bingqing   

  1. 1. College of Geography Science, Nanjing Normal University, Nanjing 210023, China;
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
  • Received:2016-07-29 Revised:2016-12-20 Online:2017-05-20 Published:2017-05-27
  • Contact: CHEN Yu E-mail:wangyearn@163.com;chenyu@lreis.ac.cn

摘要:

从科技创新的基础、投入、产出和潜力4方面构建了旅游产业科技创新能力结构模型和综合评价指标体系,利用熵值法、线性加权法以及ArcGIS空间分析工具分析评价了2004、2008、2014年中国旅游产业科技创新能力的总体水平、时空动态演化及驱动因素。结果表明:① 2004-2014年,中国旅游产业科技创新能力总体上呈不断提高态势,但空间分布极不均衡,存在明显的地区差异,在趋势上基本表现出东西方向递增,南北方向倒“U”型分布态势;② 中国旅游产业科技创新能力在地理空间上存在着显著而稳定的集聚特征和一定的极化特征,毗邻的区域在旅游科技创新方面存在一定的空间外溢效应;③ 中国旅游产业科技创新能力热点区主要分布在北京、天津和少数东部沿海省份和中部省份,冷点区主要集中在中西部内陆地区的省份;④ 空间残差回归和地理加权回归研究表明,旅游产业基础、空间外溢效应、政策制度因素是驱动中国旅游产业科技创新能力时空变化3个核心因素。

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