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区域产业结构转型升级水平与旅游扶贫效率耦合关系——以武陵山片区为例
引用本文:王凯,朱芳书,甘畅,席建超.区域产业结构转型升级水平与旅游扶贫效率耦合关系——以武陵山片区为例[J].自然资源学报,2020,35(7):1617-1632.
作者姓名:王凯  朱芳书  甘畅  席建超
作者单位:1. 湖南师范大学旅游学院,长沙 410081; 2. 中国科学院地理科学与资源研究所,北京 100101
基金项目:国家社会科学基金项目(18BJY191)
摘    要:以武陵山片区42个国家级贫困县(市、区)为案例地,综合运用SBM模型、改进的熵值法与耦合协调模型,揭示产业结构转型升级水平与旅游扶贫效率耦合协调关系的时空演化特征。结果表明:(1)武陵山片区整体及各分片区产业结构转型升级指数均呈波浪式变化,湖北片区、重庆片区以及武陵山片区整体的旅游扶贫效率呈上升态势,而湖南片区和贵州片区略有下降;(2)产业结构转型升级水平与旅游扶贫效率不耦合、不协调的县域单元主要集中在武陵山片区中部,数量逐年减少,实现耦合和协调的县域数量显著增加并向边缘地带形成集聚态势;(3)不耦合失调(类型1)向耦合协调(类型2)转变是核心转变路径,促使类型2的地区数量显著增多,并逐渐在研究区域边缘形成带状分布。研究可为集中连片特困地区产业结构优化升级和跨越贫困陷阱提供参考借鉴。

关 键 词:旅游扶贫效率  耦合协调模型  武陵山片区  SBM模型  产业结构转型升级  
收稿时间:2019-07-03
修稿时间:2020-04-08

The coupling coordination relationship between industrial structure transformation and upgrade level and tourism poverty alleviation efficiency: A case study of Wuling Mountain Area
WANG Kai,ZHU Fang-shu,GAN Chang,XI Jian-chao.The coupling coordination relationship between industrial structure transformation and upgrade level and tourism poverty alleviation efficiency: A case study of Wuling Mountain Area[J].Journal of Natural Resources,2020,35(7):1617-1632.
Authors:WANG Kai  ZHU Fang-shu  GAN Chang  XI Jian-chao
Institution:1. College of Tourism, Hunan Normal University, Changsha 410081, China; 2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Abstract:Eliminating poverty and upgrading the industrial structure are major challenges faced by contiguous poverty-stricken areas in the three-year campaign against poverty. Since the national strategy of targeted poverty alleviation was put forward, the tourism industry has become one of the crucial avenues through which residents increase their income, optimize the industrial structure, promote economic development, and escape the poverty trap. It is therefore urgent to study the coupling coordination relationship between industrial structure transformation and upgrade and tourism poverty alleviation efficiency. Taking the 42 national poverty-stricken counties in the Wuling Mountain Area as examples, the SBM model and improved entropy method are applied to measure the tourism poverty alleviation efficiency and industrial structure transformation and upgrading index, respectively. The coupling coordination model is then employed to describe the spatio-temporal evolution characteristics of the coupling coordination relationship between industrial structure transformation and upgrade and tourism poverty alleviation efficiency in the Wuling Mountain Area. The results are as follows. (1) The industrial structure transformation and upgrading index of the study area as a whole and each sub-area shows irregular changes, and the future development trend is not obvious. Tourism poverty alleviation efficiency declined slightly at the end of the sample period in Hunan and Guizhou subareas, while Hubei and Chongqing subareas showed a significant upward trend. (2) The uncoupled and uncoordinated county units of industrial structure transformation and upgrade and tourism poverty alleviation efficiency are concentrated in the central part of Wuling Mountain Area, and the number of units decreased annually. The number of counties that achieved coupling and coordination increased significantly and presented an agglomeration trend to the edge zone. (3) The transition from uncoupling disorder (type 1) to coupling coordination (type 2) is the core transformation path, which leads to the fact that the number of type 2 regions increased significantly, and gradually formed a band distribution at the edges of the study area. Finally, based on the above research results, it is suggested that the poverty-stricken areas should actively strengthen the integrated development of tourism industry and other industries, and give full play to the two-way radiation effect of industrial structure transformation and upgrade and tourism poverty alleviation efficiency. This would reconstruct and optimize the coupling path and spatial distribution pattern of the two, which enables the coordinated development of industrial structure changes and poverty alleviation through tourism. In turn, this realizes the optimization and adjustment of the industrial structure in poor areas and allows for smooth poverty alleviation.
Keywords:industrial structure transformation and upgrading  SBM model  Wuling Mountain Area  coupling coordination model  tourism poverty alleviation efficiency  
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