长江流域资源与环境 >> 2019, Vol. 28 >> Issue (04): 863-871.doi: 10.11870/cjlyzyyhj201904012

• 自然资源 • 上一篇    下一篇

湖北省旅游扶贫效率时空格局及其影响因素

王凯1,甘畅1,王梦晗1,朱芳书1,邓楚雄2*   

  1. (1.湖南师范大学旅游学院,湖南 长沙 410081;2.湖南师范大学资源与环境科学学院,湖南 长沙 410081)
  • 出版日期:2019-04-20 发布日期:2019-05-09

Spatio-temporal Pattern and the Influencing Factors of Tourism Poverty Alleviation Efficiency in Hubei Province

WANG Kai1, GAN Chang1, WANG Meng-han1, ZHU Fang-shu1,DENG Chu-xiong2   

  1. (1.Tourism College of Hunan Normal University, Changsha 410081,China;

    2.Resources and Environmental Science College of Hunan Normal University, Changsha 410081,China)
  • Online:2019-04-20 Published:2019-05-09

摘要:  采用Super-SBM模型、均方差分解法以及LS回归模型,探讨2006~2016年湖北省3大片区24个国家级贫困县旅游扶贫效率的时空异质性及其影响因素。研究表明:(1)2006~2016年湖北省旅游扶贫效率呈稳步提升态势,但整体水平仍相对较低,大致呈现出“秦巴山片区>武陵山片区>大别山片区”的空间分异格局,高效率县域位于秦巴山片区与武陵山片区。(2)湖北省旅游扶贫效率总体差异与片区内差异呈敛缩态势,但片区间差异处于离散状态;大别山、武陵山、秦巴山3片区内部差异是造成湖北省旅游扶贫效率差异的主因。(3)从省域整体来看,结构化动力与经济动力对旅游扶贫效率的正向驱动作用表现最为明显;从片区层面来看,秦巴山片区主导因素为经济动力与交通动力,武陵山片区主要受经济动力和结构化动力驱动,而影响大别山片区旅游扶贫效率的主要因素为交通动力与信息化动力。因而不同片区应采取不同的旅游扶贫政策,以扩大旅游发展的益贫与减贫效应,提高旅游扶贫效率。


Abstract: This paper analyzes the spatial-temporal heterogeneity of tourism poverty alleviation efficiency and the influencing factors in 24 national-level poverty counties in three contiguous destitute areas of Hubei Province from 2006 to 2016, using Super-SBM model, mean square deviation decomposition method and LS regression model.The results show that:(1) The efficiency of tourism poverty alleviation in Hubei Province had achieved a steady and rapid growth from 2006 to 2016, but the overall level was still relatively low, which basically presented the spatial differentiation pattern of “Qinba Mountain Area > Wuling Mountain Area > Dabie Mountain Area” and high-effciency counties located in the Qinba Mountain Area and Wuling Mountain Area.(2) The overall difference between the efficiency of tourism poverty alleviation in Hubei Province and the internal differences in the study area tended to be narrow, but the regional difference was in a discrete state. And the internal differences among Dabie Mountain, Wuling Mountain and Qinba Mountain were the main reasons for the differences in the efficiency of tourism poverty alleviation in Hubei Province.(3) From the perspective of Hubei Province as a whole, the positive driving effect of structural and economic dynamics on tourism poverty alleviation efficiency was the most obvious. From the regional perspective, the dominant factors in Qinba Mountain Area are economic power and traffic power, as for the Wuling Mountain Area, the efficiency of tourism poverty alleviation was mainly driven by economic power and structural power, and the leading ingredients that affected the efficiency of tourism poverty alleviation in Dabie Mountain Area are traffic dynamics and information power. Therefore, it is suggested that different tourism poverty alleviation policies should be adopted to expand the benefit of poverty alleviation industry in profiting and reducing povertyin different regions, and the efficiency of tourism poverty alleviation should be promoted.

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