[1]轩 源,周年兴,杨虹霓.耦合协调视角下旅游效率与经济发展水平的时空格局演变——以江苏省为例[J].南京师范大学学报(自然科学版),2020,43(02):70-77.[doi:10.3969/j.issn.1001-4616.2020.02.012]
　Xuan Yuan,Zhou Nianxing,Yang Hongni.The Spatio-Temporal Pattern Evolution of Tourism Efficiency and EconomicDevelopment Level from the Perspective of Coupling Coordination—A Case Study of Jiangsu Province[J].Journal of Nanjing Normal University(Natural Science Edition),2020,43(02):70-77.[doi:10.3969/j.issn.1001-4616.2020.02.012]
点击复制

耦合协调视角下旅游效率与经济发展水平的时空格局演变——以江苏省为例()
分享到：

《南京师范大学学报》（自然科学版）[ISSN:1001-4616/CN:32-1239/N]

卷:
第43卷
期数:
2020年02期
页码:
70-77
栏目:
·地理学·
出版日期:
2020-05-30

文章信息/Info

Title:
The Spatio-Temporal Pattern Evolution of Tourism Efficiency and EconomicDevelopment Level from the Perspective of Coupling Coordination—A Case Study of Jiangsu Province
文章编号:
1001-4616(2020)02-0070-08
作者:
轩 源1; 2; 周年兴1; 2; 杨虹霓1; 2
(1.南京师范大学地理科学学院,江苏 南京 210023)(2.江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023)
Author(s):
Xuan Yuan1; 2; Zhou Nianxing1; 2; Yang Hongni1; 2
(1.School of Geography,Nanjing Normal University,Nanjing 210023,China)(2.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
关键词:
旅游效率; 经济发展水平; 时空耦合; 协调发展; 江苏省
Keywords:
tourism efficiency; economic development level; spatio-temporal coupling; the coordinated development; Jiangsu Province
分类号:
F592.7
DOI:
10.3969/j.issn.1001-4616.2020.02.012
文献标志码:
A
摘要:
基于耦合协调视角,以2005—2017年江苏省13个地级市为研究对象,运用耦合协调模型和探索性空间数据分析等方法,研究旅游效率与经济发展水平两系统间时空耦合协调特征与影响因素. 结果表明:①旅游效率与经济发展水平总体上具有相似的南高北低的空间格局,但在时间路径背后经济发展呈两极分化的态势,旅游效率南部地区存在空间溢出现象,北部地区弹性波动. ②旅游效率与经济发展水平存在耦合协调关系,并通过其耦合协调特征划分出Ⅰ、Ⅱ、Ⅲ、Ⅳ 4级子群类型. ③在影响二者耦合协调发展的因素中,经济因素作用力相对较强,旅游效率因素主要受规模效率影响,而各因素间的交互作用发挥最大影响力,并结合以上分析对4类子群提出对策建议. 通过对旅游效率与经济发展水平的时空耦合研究,以期为提升地区旅游效率与经济协调发展,推进全域旅游进程提供科学理论和实践参考.
Abstract:
Thirteen prefecture-level cites of Jiangsu Province in 2005-2017 were regarded as the research objects based on coupling coordination perspectives,and the coupling coordination model,exploratory spatial data analysis and other methods were used to investigate the space-time coupling coordination characteristics and influence factors between two systems of tourism efficiency and economic development level. The results showed that: ①On the whole,there was a similar spatial pattern of South High and North Low between tourism efficiency and economic development level,however,economic development behind time path presented the trend of polarization. For the tourism efficiency,the spatial spillover phenomenon occurred in the southern region,and elastic fluctuation occurred in the northern region. ②There was a coupling coordination relationship between tourism efficiency and economic development level,and Level Ⅰ,Ⅱ,Ⅲ and Ⅳ subgroups were divided according to the coupling coordination characteristics. ③Economic factor plays a relatively important role among the factors that influenced the coupling and coordinated development between tourism efficiency and economic development level. Tourism efficiency factor was mainly influenced by scale efficiency,especially the interaction between various factors. The countermeasures and suggestions were proposed for four types of subgroup in combination with the above analysis. The research on space-time coupling of tourism efficiency and economic development level is conducted to provide the scientific theory and practical reference for improving the tourism efficiency and achieving the harmonious development between it and economic level,and promoting the tourism process of the whole region.

参考文献/References:

[1] 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.
[2]王坤,黄震方,陶玉国,等. 区域城市旅游效率的空间特征及溢出效应分析:以长三角为例[J]. 经济地理,2013,33(4):161-167.
[3]LESLIE D. Tourism and economic development:Western European experiences[J]. Service industries journal,1992,12(4):587-588.
[4]SOUKIAZIS E,PROEN?A S. Tourism as an alternative source of regional growth in Portugal:a panel data analysis at NUTS Ⅱ and Ⅲ levels[J]. Portuguese economic journal,2008,7(1):43-61.
[5]刘春济,冯学钢,高静. 中国旅游产业结构变迁对旅游经济增长的影响[J]. 旅游学刊,2014,29(8):37-49.
[6]生延超. 旅游产业结构优化对区域旅游经济增长贡献的演变[J]. 旅游学刊,2012,27(10):11-19.
[7]BALAGUER J,CANTAVELLAJORDá M. Tourism as a long-run economic growth factor:the Spanish case.[J]. Applied economics,2002,34(7):877-884.
[8]OH C O. The contribution of tourism development to economic growth in the Korean economy[J]. Tourism management,2005,26(1):39-44.
[9]NARAYAN P K,PRASAD B C. Does tourism granger causes economic growth in Fiji?[J]. Empirical economics letters,2003,2(5):199-208.
[10]BRAU R,LANZA A,PIGLIARU F. How fast are small tourism countries growing? Evidence from the data for 1980—2003[J]. Tourism economics,2007,13(4):603-613.
[11]SEQUEIRA T N,NUNES P M. Does tourism influence economic growth? A dynamic panel data approach[J]. Applied economics,2008,40(18):2431-2441.
[12]陈太政,李锋,乔家君. 旅游产业高级化与旅游经济增长关系研究[J]. 经济地理,2013,33(5):182-187.
[13]HEO C Y. Sharing economy and prospects in tourism research[J]. Annals of tourism research,2016,58(2):166-170.
[14]BATTILANI P,FAURI F. The rise of a service-based economy and its transformation:seaside tourism and the case of Rimini[J]. Journal of tourism history,2009,1(1):27-48.
[15]HUNDT A. Impact of tourism development on the economy and health of third world nations[J]. Journal of travel medicine,2010,3(2):107-112.
[16]赵磊,方成,吴向明. 旅游发展、空间溢出与经济增长:来自中国的经验证据[J]. 旅游学刊,2014,29(5):16-30.
[17]麻学锋. 张家界旅游业发展、区域经济增长及产业结构升级[J]. 旅游学刊,2010,25(11):20-25.
[18]余洁. 山东省旅游产业与区域经济协调度评价与优化[J]. 中国人口·资源与环境,2014,24(4):163-168.
[19]周四军,张墨格. 中国旅游业发展与经济增长的统计分析[J]. 统计与信息论坛,2006,21(4):60-64.
[20]刘雷,张华. 山东省城市化效率与经济发展水平的时空耦合关系[J]. 经济地理,2015,35(8):75-82.
[21]刘建国,刘宇. 2006—2013年杭州城市旅游全要素生产率格局及影响因素[J]. 经济地理,2015,35(7):190-197.
[22]李瑞,吴殿廷,殷红梅,等. 2000年以来中国东部四大沿海城市群城市旅游业发展效率的综合测度与时空特征[J]. 地理研究,2014,33(5):961-977.
[23]刘玉凤,高良谋. 京津冀城市群经济与环境的耦合协调发展及时空演化分析[J]. 统计与决策,2019,35(10):134-137.
[24]曹芳东,黄震方,余凤龙,等. 国家级风景名胜区旅游效率空间格局动态演化及其驱动机制[J]. 地理研究,2014,33(6):1151-1166.
[25]申鹏鹏,周年兴,张允翔,等. 基于DEA-Malmquist指数二次分解模型的江苏省旅游产业效率时空演变及影响因素[J]. 长江流域资源与环境,2018,27(1):53-62.
[26]马晓龙,保继刚. 中国主要城市旅游效率的区域差异与空间格局[J]. 人文地理,2010,25(1):105-110.
[27]杜挺,谢贤健,梁海艳,等. 基于熵权TOPSIS和GIS的重庆市县域经济综合评价及空间分析[J]. 经济地理,2014,34(6):40-47.
[28]高洁芝,郑华伟,刘友兆. 基于熵权TOPSIS模型的土地利用多功能性诊断[J]. 长江流域资源与环境,2018,27(11):2496-2504.
[29]彭程,陈志芬,吴华瑞,等. 基于ESDA的城市可持续发展能力时空分异格局研究[J]. 中国人口·资源与环境,2016,26(2):144-151.
[30]孙黄平,黄震方,徐冬冬,等. 泛长三角城市群城镇化与生态环境耦合的空间特征与驱动机制[J]. 经济地理,2017,37(2):163-170,186.
[31]胡雪瑶,张子龙,陈兴鹏,等. 县域经济发展时空差异和影响因素的地理探测:以甘肃省为例[J]. 地理研究,2019,38(4):772-783.
[32]张子昂,黄震方,曹芳东,等. 浙江省县域入境旅游时空跃迁特征及驱动机制[J]. 地理研究,2016,35(6):1177-1192.
[33]刘丹丽,汪侠,吴小根,等. 全球贫困国家旅游竞争力与经济发展水平的耦合协调度及时空变化[J]. 地理科学进展,2018,37(10):1381-1391.
[34]高楠,马耀峰,张春晖. 中国丝绸之路经济带旅游产业与区域经济的时空耦合分异:基于九省区市1993—2012年面板数据[J]. 经济管理,2015,37(9):111-120.

相似文献/References:

[1]王志民.基于DEA-Ml模型的江苏沿江旅游区旅游效率评价研究[J].南京师范大学学报(自然科学版),2014,37(04):120.
　Wang Zhimin.Tourism Efficiency Research in Six Cities of Jiangsu BorderingYangtze River Based on the DEA and Malmquist Index[J].Journal of Nanjing Normal University(Natural Science Edition),2014,37(02):120.

备注/Memo

备注/Memo:
收稿日期:2019-04-22.
基金项目:国家自然科学基金项目(41671140).
通讯作者:周年兴,博士,教授,研究方向:旅游地理与景观生态规划. E-mail:zhounianxing@263.net
更新日期/Last Update: 2020-05-15