摘要
构建旅游经济效率及旅游网络优势度评价模型,并结合csQCA分析方法,对我国31个省市旅游经济效率、旅游网络优势度水平及其关联组合进行分析,对影响旅游效率、旅游网络优势度以及二者组合的内外部因素进行构型阐述。研究发现:我国旅游经济效率呈现东西高低分化、南北高低相间的空间分布格局,旅游网络优势度表现出明显的多组团形态的板块连片化空间分布格局;市场环境水平、政府支持力度、人力资本水平、交通集散水平、网络信息化水平、区域开放程度等因素,组合形成高旅游经济效率、高旅游网络优势度以及二者协同发展的7种构型驱动模式。
Based on the theory of complex system,by using data envelopment analysis and social network analysis,this paper constructs the evaluation model of tourism economic efficiency and tourism network dominance.And then the paper measures and analyzes the tourism economic efficiency,the tourism network dominance and the relevant combination of 31 provinces and cities in China.Later,by using the csQCA method,this research analyzes the internal and external factors that affect tourism efficiency,tourism network dominance and their combination.The main conclusions are as follows:1)The provincial tourism economic efficiency in China presents a spatial distribution pattern of high and low differentiation between the east and the west,and so does the north and the south.2)Factors such as the level of market environment conditions,government support,human capital,transportation distribution,regional openness and network information can generate seven driving modes of high-level tourism economic efficiency,tourism network dominance and their coordinated development through multiple configuration combinations under different circumstances.
作者
韩剑磊
明庆忠
史鹏飞
刘安乐
解长雯
HAN Jian-lei;MING Qing-zhong;SHI Peng-fei;LIU An-le;XIE Chang-wen(School of Tourism and Hotel Management,Yunnan University of Economics and Finance,Kunming 650221,China;Tourism and Cultural Industry Research Institute,Yunnan University of Economics and Finance,Kunming 650221,China;School of Tourism and Historical Culture,Liupanshui Normal University,Liupanshui 553004,China)
出处
《人文地理》
CSSCI
北大核心
2021年第4期168-176,共9页
Human Geography
基金
国家自然科学基金项目(41671147,41961021)
国家社会科学基金青年项目(19CGL029)。
关键词
旅游经济效率
旅游经济网络优势度
关联组合
定性比较分析
构型
tourism economic efficiency
tourism network dominance
the relevant combination
qualitative comparative analysis
configuration