边境地区旅游流空间场效应的时空动态及其影响因素——以云南省边境市州为例
|
摘要
基于地理集中指数、重心模型及旅游经济联系强度对2000—2016年云南省边境地区旅游流空间场效应的时空动态进行综合探究,并结合相关性系数法分析其影响因素.结果表明:(1)云南省边境各市州旅游场强层级区际差异显著,总体呈现以红河州为中心的单核分布模式;(2)旅游流重心总体呈现在波动中向东南方向偏移的态势,偏移速度总体呈现先快后慢的特征,各市州对旅游流吸引力的波动程度渐趋降低,但旅游吸引力空间差异在持续扩大;(3)西双版纳、普洱、红河及文山等市州形成了旅游经济联系高强度集聚区,怒江州与其他市州的旅游经济联系均较弱;各市州旅游经济联系总量表现出明显的"核心—边缘"式空间发展格局;(4)旅游资源禀赋、信息化水平、区域经济发展水平、交通通达性及旅游接待服务能力对旅游流空间场效应演化的影响程度依次递减,对外开放程度的影响程度最低.
Based on the geographic concentration index,the center of gravity model and the intensity of tourism economic linkage,this study comprehensively explores the spatial-temporal dynamics of the spatial effects of tourism flows in the border areas of Yunnan Province from 2000 to 2016,and analyzes the influencing factors by the correlation coefficient method.The study found that:(1)The inter-regional differences in the intensity of tourism in each city and state on the border of Yunnan Province are significant,and the overall distribution pattern of the single core is mainly centered on Honghe Prefecture;(2)The gravity of tourism flow is shifting towards Southeast in general fluctuation,and the speed of migration is first fast and then slow.The fluctuation degree of tourism attraction of each city and state is gradually decreasing,but the spatial difference of tourism attraction continues expanding;(3)Xishuangbanna,Puer,Honghe and Wenshan have formed high-intensity agglomeration areas of tourism economic links,Nujiang prefecture has weak tourism economic links with other prefectures.The total amount of tourism economic links of each prefecture shows an obvious "core-periphery" spatial development pattern;(4)The degree of influence of tourism resource endowment,informationization level,regional economic development level,traffic accessibility and tourism reception service capacity on the evolution of the spatial effect of tourism flow,the degree of opening to the outside world has the lowest impact.
Based on the geographic concentration index,the center of gravity model and the intensity of tourism economic linkage,this study comprehensively explores the spatial-temporal dynamics of the spatial effects of tourism flows in the border areas of Yunnan Province from 2000 to 2016,and analyzes the influencing factors by the correlation coefficient method.The study found that:(1)The inter-regional differences in the intensity of tourism in each city and state on the border of Yunnan Province are significant,and the overall distribution pattern of the single core is mainly centered on Honghe Prefecture;(2)The gravity of tourism flow is shifting towards Southeast in general fluctuation,and the speed of migration is first fast and then slow.The fluctuation degree of tourism attraction of each city and state is gradually decreasing,but the spatial difference of tourism attraction continues expanding;(3)Xishuangbanna,Puer,Honghe and Wenshan have formed high-intensity agglomeration areas of tourism economic links,Nujiang prefecture has weak tourism economic links with other prefectures.The total amount of tourism economic links of each prefecture shows an obvious "core-periphery" spatial development pattern;(4)The degree of influence of tourism resource endowment,informationization level,regional economic development level,traffic accessibility and tourism reception service capacity on the evolution of the spatial effect of tourism flow,the degree of opening to the outside world has the lowest impact.
引文
[1] 董培海,李庆雷,李伟.中国旅游流研究的现状、问题及展望[J].世界地理研究,2015,24(4):152-162.
[2] PRIDEAUX B,KIM S.Bilateral tourism imbalance:is there a cause for concern:the case of Australia and Korea[J].Tourism Management,1999,20(4):523-531.
[3] BALAZ V,MITSUTAKE M.Japanese tourists in transition countries of central Europe:present behavior and future trends[J].Tourism Management,1998,19(5):433-443.
[4] WITT S F,MARTIN C A.Econometric models for forecasting international tourism demand[J].Journal of Travel Research,1987,25(3):3-30.
[5] PRIDEAUX B.Factors affecting bilateral tourism flows[J].Annals of Tourism Research,2005,32(3):780-801.
[6] 陈海波.旅游流的概念界定与理论内涵新论[J].旅游研究,2017,9(1):22-31.
[7] 王公为,乌铁红.内蒙古入境旅游流流量与流质的时空分布研究[J].干旱区资源与环境,2016,30(12):199-203.
[8] 杨曦,王兆峰.基于交通网络的湖南旅游流空间集聚与扩散测度研究[J].地域研究与开发,2014,33(4):96-100.
[9] 徐敏,黄震方,曹芳东,等.基于在线预订数据分析的旅游流网络结构特征与影响因素——以长三角地区为例[J].经济地理,2018,38(6):193-202.
[10] 刘军胜,马耀峰.基于发生学与系统论的旅游流与目的地供需耦合成长演化与驱动机制研究——以西安市为例[J].地理研究,2017,36(8):1 583-1 600.
[11] 刘大均.长江中游城市群旅游流空间格局及发展模式[J].经济地理,2018,38(5):217-223.
[12] 秦静,李郎平,唐鸣镝,等.基于地理标记照片的北京市入境旅游流空间特征[J].地理学报,2018,73(8):1556-1570.
[13] 马莉,刘培学,张建新,等.景区旅游流与网络关注度的区域时空分异研究[J].地理与地理信息科学,2018,34(2):87-93.
[14] 吴良平,张健.中国入境客流区域集散的结构差异与转移规律研究[J].旅游科学,2017,31(6):14-29.
[15] 戢晓峰,李康康,陈方.节假日旅游流时空分异及其形成机制——以云南省为例[J].经济地理,2018,38(3):200-207.
[16] 戴文,丁蕾,刘培学,等.城市旅游流客源地分布及预测研究——以南京市为例[J].资源开发与市场,2018,34(5):676-681.
[17] 章锦河,张捷,刘泽华.基于旅游场理论的区域旅游空间竞争研究[J].地理科学,2005,25(2):248-256.
[18] 董培海,岳洁,李庆雷,等.旅游流空间场效应的演变及其响应机制研究——以云南省保山市为例[J].山西师范大学学报:自然科学版,2018,32(3):108-116.
[19] 张佑印,顾静,马耀峰.旅游流研究的进展、评价与展望[J].旅游学刊,2013,28(6):38-46.
[20] 保继刚,楚义芳.旅游地理学[M].3版.北京:高等教育出版社,2012.
[21] 黄睿,王坤,黄震方,等.绩效视角下区域旅游发展格局的时空动态及耦合关系——以泛长江三角洲为例[J].地理研究,2018,37(5):995-1008.
[22] 倪维秋,廖茂林.高速铁路对中国省会城市旅游经济联系的空间影响[J].中国人口·资源与环境,2018,28(3):160-168.
[23] 李淑娟,陈静.基于生态位理论的山东省区域旅游竞合研究[J].经济地理,2014,34(9):179-185.
[2] PRIDEAUX B,KIM S.Bilateral tourism imbalance:is there a cause for concern:the case of Australia and Korea[J].Tourism Management,1999,20(4):523-531.
[3] BALAZ V,MITSUTAKE M.Japanese tourists in transition countries of central Europe:present behavior and future trends[J].Tourism Management,1998,19(5):433-443.
[4] WITT S F,MARTIN C A.Econometric models for forecasting international tourism demand[J].Journal of Travel Research,1987,25(3):3-30.
[5] PRIDEAUX B.Factors affecting bilateral tourism flows[J].Annals of Tourism Research,2005,32(3):780-801.
[6] 陈海波.旅游流的概念界定与理论内涵新论[J].旅游研究,2017,9(1):22-31.
[7] 王公为,乌铁红.内蒙古入境旅游流流量与流质的时空分布研究[J].干旱区资源与环境,2016,30(12):199-203.
[8] 杨曦,王兆峰.基于交通网络的湖南旅游流空间集聚与扩散测度研究[J].地域研究与开发,2014,33(4):96-100.
[9] 徐敏,黄震方,曹芳东,等.基于在线预订数据分析的旅游流网络结构特征与影响因素——以长三角地区为例[J].经济地理,2018,38(6):193-202.
[10] 刘军胜,马耀峰.基于发生学与系统论的旅游流与目的地供需耦合成长演化与驱动机制研究——以西安市为例[J].地理研究,2017,36(8):1 583-1 600.
[11] 刘大均.长江中游城市群旅游流空间格局及发展模式[J].经济地理,2018,38(5):217-223.
[12] 秦静,李郎平,唐鸣镝,等.基于地理标记照片的北京市入境旅游流空间特征[J].地理学报,2018,73(8):1556-1570.
[13] 马莉,刘培学,张建新,等.景区旅游流与网络关注度的区域时空分异研究[J].地理与地理信息科学,2018,34(2):87-93.
[14] 吴良平,张健.中国入境客流区域集散的结构差异与转移规律研究[J].旅游科学,2017,31(6):14-29.
[15] 戢晓峰,李康康,陈方.节假日旅游流时空分异及其形成机制——以云南省为例[J].经济地理,2018,38(3):200-207.
[16] 戴文,丁蕾,刘培学,等.城市旅游流客源地分布及预测研究——以南京市为例[J].资源开发与市场,2018,34(5):676-681.
[17] 章锦河,张捷,刘泽华.基于旅游场理论的区域旅游空间竞争研究[J].地理科学,2005,25(2):248-256.
[18] 董培海,岳洁,李庆雷,等.旅游流空间场效应的演变及其响应机制研究——以云南省保山市为例[J].山西师范大学学报:自然科学版,2018,32(3):108-116.
[19] 张佑印,顾静,马耀峰.旅游流研究的进展、评价与展望[J].旅游学刊,2013,28(6):38-46.
[20] 保继刚,楚义芳.旅游地理学[M].3版.北京:高等教育出版社,2012.
[21] 黄睿,王坤,黄震方,等.绩效视角下区域旅游发展格局的时空动态及耦合关系——以泛长江三角洲为例[J].地理研究,2018,37(5):995-1008.
[22] 倪维秋,廖茂林.高速铁路对中国省会城市旅游经济联系的空间影响[J].中国人口·资源与环境,2018,28(3):160-168.
[23] 李淑娟,陈静.基于生态位理论的山东省区域旅游竞合研究[J].经济地理,2014,34(9):179-185.