中国省域旅游产业与人居环境耦合关系及其障碍因子研究
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摘要
运用耦合协调度和障碍度模型,厘清2016年中国省域旅游产业与人居环境耦合关系及障碍因子。结果显示:(1)旅游产业发展呈现空间非均衡性,由东部沿海向西部内陆递减,旅游资源要素是主要动力,人居环境水平整体较高且空间差异不大,北京人居环境水平最高,西藏最低,居住环境是主要动力。(2)旅游产业与人居环境大多处于拮抗耦合阶段,非同步性特征明显,山东耦合度最高,宁夏耦合度最低,两者协调度整体不高,以濒临失调类型为主,广东协调度最高,西藏协调度最低。(3)影响旅游产业与人居环境协调发展的单项指标障碍因子方面,人居环境指标的障碍度高于旅游产业指标的障碍度,子系统障碍因子方面,障碍度大小排序依次为基础设施环境>生态环境>社会经济环境>居住环境>旅游资源要素>旅游人力资源>旅游市场规模。
In this article, the coupling coordination degree model and obstacle degree model are used to calculate the coupling relationship and its obstacle factors between tourism industry and human settlement of 31 provincial units in China in 2016. The results show that:(1) The development of tourism industry presents spatial disequilibrium, decreasing from the east coast to the inland of the west. The Tourism resource element is the main motive force. The level of human settlement is higher and the spatial difference is not large, the level of living environment in Beijing is the highest, and Tibet, the lowest. The living environment is the main motive force.(2) The tourism industry and the human settlement are mostly in the phase of antagonistic coupling, the characteristics of non-synchronization are obvious. The coupling degree in Shandong is the highest, and the coupling degree in Ningxia is the lowest. The coordination degree is not high, and the coordination degree in Guangdong is the most, the coordination degree in Tibet is the lowest.(3) In terms of the obstacle factors affecting the coordinated development between tourism industry and human settlement, the obstacle degree of the human settlement index is higher than the obstacle of the tourism industry index. In the aspect of sub-system obstacle factors, the order of the size of obstacle degree is infrastructure environment > ecological environment > social economic environment > living environment > elements of tourism resources > tourism human resources > tourism market scale.
In this article, the coupling coordination degree model and obstacle degree model are used to calculate the coupling relationship and its obstacle factors between tourism industry and human settlement of 31 provincial units in China in 2016. The results show that:(1) The development of tourism industry presents spatial disequilibrium, decreasing from the east coast to the inland of the west. The Tourism resource element is the main motive force. The level of human settlement is higher and the spatial difference is not large, the level of living environment in Beijing is the highest, and Tibet, the lowest. The living environment is the main motive force.(2) The tourism industry and the human settlement are mostly in the phase of antagonistic coupling, the characteristics of non-synchronization are obvious. The coupling degree in Shandong is the highest, and the coupling degree in Ningxia is the lowest. The coordination degree is not high, and the coordination degree in Guangdong is the most, the coordination degree in Tibet is the lowest.(3) In terms of the obstacle factors affecting the coordinated development between tourism industry and human settlement, the obstacle degree of the human settlement index is higher than the obstacle of the tourism industry index. In the aspect of sub-system obstacle factors, the order of the size of obstacle degree is infrastructure environment > ecological environment > social economic environment > living environment > elements of tourism resources > tourism human resources > tourism market scale.
引文
[1]黄茂兴,叶琪.马克思主义绿色发展观与当代中国的绿色发展--兼评环境与发展不相容论[J].经济研究,2017(6):17-30.
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[14]唐鸿,刘雨婧,麻学锋.旅游业与新型城镇化协调发展效应评价--以张家界为例[J].经济地理,2017(2):216-223.
[15]周成,冯学钢,唐睿.区域经济-生态环境-旅游产业耦合协调发展分析与预测--以长江经济带沿线各省市为例[J].经济地理,2016(3):186-193.
[16]李雪铭,倪玉娟.近十年来我国优秀宜居城市城市化与城市人居环境协调发展评价[J].干旱区资源与环境,2009(3):8-14.
[17]杜婷,李雪铭,张峰.长三角优秀旅游城市人居环境与旅游业协调性分析[J].旅游研究,2013(3):8-14.
[18]向丽,胡珑瑛.长江经济带旅游产业与城市人居环境耦合协调研究[J].经济问题探索,2018(4):80-89.
[19]赵传松,任建兰,陈延斌,等.全域旅游背景下中国省域旅游产业与区域发展时空耦合及驱动力[J].中国人口·资源与环境,2018(3):149-159.
[20]Wang Y,Jin C,Lu M Q,et al.Assessing the suitability of regional human settlements environment from a different preferences perspective:A case study of Zhejiang Province,China[J].Habitat International,2017,70:1-12.
[21]尹鹏,李诚固,陈才,等.新型城镇化情境下人口城镇化与基本公共服务关系研究--以吉林省为例[J].经济地理,2015(1):61-67.
[22]尹鹏,刘曙光,陈才.中国沿海城市群城镇化效率测度及其障碍因子诊断[J].华东经济管理,2017(7):68-74.
[2]胡鞍钢,周绍杰.绿色发展:功能界定、机制分析与发展战略[J].中国人口·资源与环境,2014(1):14-20.
[3]郑芳,陈田,侯迎,等.旅游与环境资源关系研究进展[J].地理科学进展,2010(6):663-669.
[4]龙瀛,李苗裔,李晶.基于新数据的中国人居环境质量监测:指标体系与典型案例[J].城市发展研究,2018(4):86-96.
[5]Olya H,Al-Ansi A.Risk assessment of halal products and services:Implication for tourism industry[J].Tourism Management,2018,65:279-291.
[6]董锁成,张佩佩,李飞,等.山东半岛城市群人居环境质量综合评价[J].中国人口·资源与环境,2017(3):155-162.
[7]刘佳,陆菊,刘宁.基于DEA-Malmquist模型的中国沿海地区旅游产业效率时空演化、影响因素与形成机理[J].资源科学,2015(12):2381-2393.
[8]丁建军,朱群惠.我国区域旅游产业发展潜力的时空差异研究[J].旅游学刊,2012(2):52-61.
[9]李锋,万年庆,史本林,等.基于“环境-结构”集成视角的旅游产业脆弱性测度--以中国大陆31个省区市为例[J].地理研究,2014(3):569-581.
[10]陈呈奕,张文忠,湛东升,等.环渤海地区城市人居环境质量评估及影响因素[J].地理科学进展,2017(12):1562-1570.
[11]毕硕本,凌德泉,计晗,等.郑洛地区史前聚落遗址人居环境宜居度指数模糊综合评价[J].地理科学,2017(6):904-911.
[12]曾菊新,杨晴青,刘亚晶,等.国家重点生态功能区乡村人居环境演变及影响机制--以湖北省利川市为例[J].人文地理,2016(1):81-88.
[13]赵磊,王佳.中国旅游发展与经济增长--基于省际面板数据的协整分析[J].旅游科学,2015(1):40-57.
[14]唐鸿,刘雨婧,麻学锋.旅游业与新型城镇化协调发展效应评价--以张家界为例[J].经济地理,2017(2):216-223.
[15]周成,冯学钢,唐睿.区域经济-生态环境-旅游产业耦合协调发展分析与预测--以长江经济带沿线各省市为例[J].经济地理,2016(3):186-193.
[16]李雪铭,倪玉娟.近十年来我国优秀宜居城市城市化与城市人居环境协调发展评价[J].干旱区资源与环境,2009(3):8-14.
[17]杜婷,李雪铭,张峰.长三角优秀旅游城市人居环境与旅游业协调性分析[J].旅游研究,2013(3):8-14.
[18]向丽,胡珑瑛.长江经济带旅游产业与城市人居环境耦合协调研究[J].经济问题探索,2018(4):80-89.
[19]赵传松,任建兰,陈延斌,等.全域旅游背景下中国省域旅游产业与区域发展时空耦合及驱动力[J].中国人口·资源与环境,2018(3):149-159.
[20]Wang Y,Jin C,Lu M Q,et al.Assessing the suitability of regional human settlements environment from a different preferences perspective:A case study of Zhejiang Province,China[J].Habitat International,2017,70:1-12.
[21]尹鹏,李诚固,陈才,等.新型城镇化情境下人口城镇化与基本公共服务关系研究--以吉林省为例[J].经济地理,2015(1):61-67.
[22]尹鹏,刘曙光,陈才.中国沿海城市群城镇化效率测度及其障碍因子诊断[J].华东经济管理,2017(7):68-74.