四川省旅游区域核心-边缘空间格局演变

核心-边缘理论模型是解释区域发展水平空间差异和区域经济空间结构演变模式的一种理论。已有的研究主要是探讨区域内部核心-边缘区旅游经济发展关系的不平等, 而对旅游区域核心-边缘空间结构的形成机理与演变过程鲜有涉及。以旅游资源大省-四川为例, 研究旅游区域核心-边缘空间结构的动态过程、阶段与空间结构形态的演变。实证研究结果显示, 首位分布和规模-位序分布理论能够很好地揭示旅游区域核心-边缘空间结构的演变过程; 目前四川省旅游城市核心-边缘空间结构发育典型, 核心城市-成都首位分布显著, 空间格局的演变以聚集形、非均衡的极化作用为主, 但扩散作用正逐步加强, 核心与边缘城市发展差距悬殊, 次级核心城市尚处于成长过程中; 经相关分析, 交通因素、经济发展水平、资源禀赋、城市规模、职能与城市化水平、区位因素是形成这种核心-边缘空间结构的主要因素。本文探索一种核心-边缘空间结构演化过程和阶段的定量研究方法, 并尝试解释其核心-边缘空间结构形成的原因, 不仅拓展了该理论在旅游地理学上的应用, 也丰富了该理论本身的内涵、应用及研究方法。

Core-per iphery Spatial Structur e and Its Evolution of Tourism Region in Sichuan Province

Core-periphery model is generally used as a theory to interpret the spatial discrepancy of regional development and evolvement pattern of regional economic structure. Core-periphery theory has been rarely put into the tourism research both at home and abroad. Previous work of empirical researches undertaken in tourism field has mainly focused on the economic inequality and developmental relationships between the core and the periphery tourism regions. However, the form and its evolvement of the spatial core-periphery structure are still relatively rare up to now. Therefore combined with the analytical framework of tourism geography, the dynamic process, development stages and the evolvement of the spatial structure are explored in this paper by using analytical methods of urban geography based on a case study of Sichuan province, which is rich in tourism resources in Southwest China. Findings of prirnary city distribution and rank-size distribution suggest that the spatial pattern of tourism cities in Sichuan province takes on a typical core-periphery structure. Chengdu, capital of Sichuan province and the biggest tourism city, is the primary tourism city and is therefore being the core city while others are peripheries of the tourism industry. Moreover, the dynamic evolvement of the spatial pattern in Sichuan belongs to the spatial polarization stage. Transportation, resource endowment, economic development, location and spatial position, urban size, function and urbanization are the important factors related to this core-periphery structure by correlation analysis. Finally, sub-core tourism cities, i.e. the second core cities such as Leshan, Aba and Mianyang can be discovered by cluster analysis. Nevertheless, these sub-core tourism cities have a long way to go in terms of the tourism industry.