旅游经济与交通系统耦合协调演化研究——以中国31个省区为例
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摘要
论文以中国31个省区为例,构建测度旅游经济与交通两大系统耦合协调性的评价指标体系,运用耦合协调度模型,计算2007-2017年中国31个省区旅游经济综合发展指数与交通系统综合发展指数,探究其旅游经济系统与交通系统耦合协调度的演化规律。研究发现:(1)2007-2017年,全国整体与东、中部呈现出"耦合协调趋同"的态势,稳中有降,但2017年有所回升,西部地区大体上微幅上升;(2)省区耦合协调等级空间分异明显,其耦合协调等级变动分为三个层次:保持不变、等级上升与等级下降;(3)依据旅游经济与交通系统的综合发展指数,将旅游经济与交通系统协调发展类型划分为低协调型、重交通型、高协调型、重旅游型四种,并根据各省区旅游经济与交通协调发展类型的演变轨迹,将其旅游经济与交通系统的耦合协调演化模式分为稳定式与波动式。
Based on the mechanism of Coupling-Coordinated Degree Model, by establishing the evaluation system of the coupling coordinated development about tourism economy and transportation, and taking Mainland Chinese(31 provinces) as an example to measure its orderliness from 2007 to 2017 for coupling coordinated development degree about tourism economy and transportation. The result shows that :(1) From 2007to2017, the whole region the East region and the Midwest region showed "coupling coordinated convergence" trend about a decrease slightly,but rebounded in 2017, while it rose slightly in the western region.;(2)The spatial distribution of every region for coupling coordinated level is distinct greatly, moreover, the level changes of coupling and coordination of these regions can be divided into three levels: keeping unchanged, rising and declining;(3)According to the comprehensive development index of tourism economy and transportation system, the coordination level of tourism economy and transportation system is divided into four categories: Low Coordination、Heavy Traffic、High Coordination and Heavy Tourism,and based on the evolution track of tourism economy and traffic coordination for different regions, the coupling coordinated evolution models of tourism economy and transportation system can be divided into stable model and fluctuant model.
Based on the mechanism of Coupling-Coordinated Degree Model, by establishing the evaluation system of the coupling coordinated development about tourism economy and transportation, and taking Mainland Chinese(31 provinces) as an example to measure its orderliness from 2007 to 2017 for coupling coordinated development degree about tourism economy and transportation. The result shows that :(1) From 2007to2017, the whole region the East region and the Midwest region showed "coupling coordinated convergence" trend about a decrease slightly,but rebounded in 2017, while it rose slightly in the western region.;(2)The spatial distribution of every region for coupling coordinated level is distinct greatly, moreover, the level changes of coupling and coordination of these regions can be divided into three levels: keeping unchanged, rising and declining;(3)According to the comprehensive development index of tourism economy and transportation system, the coordination level of tourism economy and transportation system is divided into four categories: Low Coordination、Heavy Traffic、High Coordination and Heavy Tourism,and based on the evolution track of tourism economy and traffic coordination for different regions, the coupling coordinated evolution models of tourism economy and transportation system can be divided into stable model and fluctuant model.
引文
[1]程晓丽,黄国萍.安徽省旅游空间结构演变及优化[J].人文地理,2012,27(6):145-150.
[2]杨仲元,卢松.交通发展对区域旅游空间结构的影响研究-以皖南旅游区为例[J].地理科学,2013,33(7):806-814.
[3]Crouch G I.Demand elasticities for short-haul versus long-haul tourism[J].Journal of Travel Research,1994,33,(2):56-69.
[4]Martin C A,Witt S F.Substitute Prices in Models of Tourism Demand[J].Annals of Tourism Research,1988,15:255-268.
[5]Bruce Prideaux.The role of the transport system in destination development[J].Tourism Management,2000,21(1):53-63.
[6]Gutierrez J,Gonzalez R,Gomez G.The European high speed train network:predicted effects on accessibility patterns[J].Journal of Transport Geography,1996,4(4):227-238.
[7]卢松.旅游交通研究进展及启示[J].热带地理,2009,29(4):394-398.
[8]汪德根.京沪高铁对主要站点旅游流时空分布影响[J].旅游学刊,2014,29(1):75-82.
[9]戢晓峰,张玲,陈方.旅游运输通道演化对区域旅游空间模式的影响机理-以云南省为例[J].经济地理,2015,35(2):202-208.
[10]刘军林,尹影.高铁交通体验对中小城市旅游空间结构的影响-以涪陵为例[J].经济地理,2016,36(5):190-194.
[11]孙晋坤,章锦河,刘泽华,李曼,杨璐.区域旅游交通碳排放测度模型及实证分析[J].生态学报,2015,35(21):7161-7171.
[12]包战雄,袁书琪,陈光水.不同游客吸引半径景区国内旅游交通碳排放特征比较[J].地理科学,2012,32(10):1168-1175.
[13]何昭丽.乌鲁木齐市交通与旅游协调发展定量评价研究[J].特区经济,2013(2):93-95.
[14]陈蓉,马耀峰,罗赟敏.二十年来青藏高原交通与旅游经济协调发展研究[J].青海社会科学,2016(2):109-114.
[15]余菲菲,胡文海,荣慧芳.中小城市旅游经济与交通耦合协调发展研究-以池州市为例[J].地理科学,2015,35(9):1116-1122.
[16]郭向阳,穆学青,明庆忠.云南省旅游经济与交通系统耦合空间态势分析[J].经济地理,2017,37(9):200-206.
[17]曾繁清,叶德珠.金融体系与产业结构的耦合协调度分析-基于新结构经济学视角[J].经济评论,2017(3):134-147.
[18]龚艳,郭峥嵘.旅游业与金融业耦合协调发展实证分析-以江苏省为例[J].旅游学刊,2017,32(3):74-84.
[19]曹利军,王华东.可持续发展评价指标体系建立原理与方法研究[J].环境科学学报,1998,18(5):526-532.
[20]欧向军,甄峰,秦永东,等.区域城市化水平综合测度及其理想动力分析-以江苏省为例[J].地理研究,2008,27(5):993-1002.
[21]张洪,司家慧,时浩楠.皖江城市带旅游经济与生态环境的耦合协调发展研究[J].上海经济,2017(4):58-67.
[22]刘安乐,杨承玥,鲁芬,明庆忠.滇中城市群交通网络与旅游业耦合发展研究[J].世界地理研究,2017,26(1):65-76.
(1).按照国家发展和改革委员会的划分原则,目前,我国地理区位从经济发展角度的划分为:东部(北京、天津、河北、辽宁、上海、江苏、浙江、福建、山东、广东、海南等11个省区),中部(山西、吉林、安徽、黑龙江、江西、河南、湖北、湖南等8个省区),西部(内蒙古、四川、贵州、云南、西藏、重庆、广西、宁夏、甘肃、青海、陕西、新疆等12个省区)
(3).演化模式划分:平稳式(11年间,省区保持同一发展类型或出现两种发展类型且同一发展类型保持连续八年及以上);波动式(省区出现两种发展类型且同一发展类型连续保持连续八年以下或省区出现三种或四种发展类)
[2]杨仲元,卢松.交通发展对区域旅游空间结构的影响研究-以皖南旅游区为例[J].地理科学,2013,33(7):806-814.
[3]Crouch G I.Demand elasticities for short-haul versus long-haul tourism[J].Journal of Travel Research,1994,33,(2):56-69.
[4]Martin C A,Witt S F.Substitute Prices in Models of Tourism Demand[J].Annals of Tourism Research,1988,15:255-268.
[5]Bruce Prideaux.The role of the transport system in destination development[J].Tourism Management,2000,21(1):53-63.
[6]Gutierrez J,Gonzalez R,Gomez G.The European high speed train network:predicted effects on accessibility patterns[J].Journal of Transport Geography,1996,4(4):227-238.
[7]卢松.旅游交通研究进展及启示[J].热带地理,2009,29(4):394-398.
[8]汪德根.京沪高铁对主要站点旅游流时空分布影响[J].旅游学刊,2014,29(1):75-82.
[9]戢晓峰,张玲,陈方.旅游运输通道演化对区域旅游空间模式的影响机理-以云南省为例[J].经济地理,2015,35(2):202-208.
[10]刘军林,尹影.高铁交通体验对中小城市旅游空间结构的影响-以涪陵为例[J].经济地理,2016,36(5):190-194.
[11]孙晋坤,章锦河,刘泽华,李曼,杨璐.区域旅游交通碳排放测度模型及实证分析[J].生态学报,2015,35(21):7161-7171.
[12]包战雄,袁书琪,陈光水.不同游客吸引半径景区国内旅游交通碳排放特征比较[J].地理科学,2012,32(10):1168-1175.
[13]何昭丽.乌鲁木齐市交通与旅游协调发展定量评价研究[J].特区经济,2013(2):93-95.
[14]陈蓉,马耀峰,罗赟敏.二十年来青藏高原交通与旅游经济协调发展研究[J].青海社会科学,2016(2):109-114.
[15]余菲菲,胡文海,荣慧芳.中小城市旅游经济与交通耦合协调发展研究-以池州市为例[J].地理科学,2015,35(9):1116-1122.
[16]郭向阳,穆学青,明庆忠.云南省旅游经济与交通系统耦合空间态势分析[J].经济地理,2017,37(9):200-206.
[17]曾繁清,叶德珠.金融体系与产业结构的耦合协调度分析-基于新结构经济学视角[J].经济评论,2017(3):134-147.
[18]龚艳,郭峥嵘.旅游业与金融业耦合协调发展实证分析-以江苏省为例[J].旅游学刊,2017,32(3):74-84.
[19]曹利军,王华东.可持续发展评价指标体系建立原理与方法研究[J].环境科学学报,1998,18(5):526-532.
[20]欧向军,甄峰,秦永东,等.区域城市化水平综合测度及其理想动力分析-以江苏省为例[J].地理研究,2008,27(5):993-1002.
[21]张洪,司家慧,时浩楠.皖江城市带旅游经济与生态环境的耦合协调发展研究[J].上海经济,2017(4):58-67.
[22]刘安乐,杨承玥,鲁芬,明庆忠.滇中城市群交通网络与旅游业耦合发展研究[J].世界地理研究,2017,26(1):65-76.
(1).按照国家发展和改革委员会的划分原则,目前,我国地理区位从经济发展角度的划分为:东部(北京、天津、河北、辽宁、上海、江苏、浙江、福建、山东、广东、海南等11个省区),中部(山西、吉林、安徽、黑龙江、江西、河南、湖北、湖南等8个省区),西部(内蒙古、四川、贵州、云南、西藏、重庆、广西、宁夏、甘肃、青海、陕西、新疆等12个省区)
(3).演化模式划分:平稳式(11年间,省区保持同一发展类型或出现两种发展类型且同一发展类型保持连续八年及以上);波动式(省区出现两种发展类型且同一发展类型连续保持连续八年以下或省区出现三种或四种发展类)