The Model Analysis on Spatial Mismatch of Tourism Development in Anhui Province

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  • Department of Resources, Environment and Tourism, Chizhou College, Chizhou 247000, China

Received date: 2014-10-31

  Revised date: 2014-11-30

  Online published: 2015-05-10

Abstract

The existence of regional differences between tourism resources and tourism locations makes it necessary to analyze the spatial mismatch about regional tourism development and its causes, therefore to provide a scientific basis for promoting balanced development to regional tourism. With the assistance of gravity model and two-dimensional portfolio matrix,this article chooses tourism income, resource abundance and tourism location as the evaluation indices. Based on the research on 16 cities of Anhui province, we make a quantitative analysis of the spatial mismatch of tourism development and visualize the result using ArcGIS. The study shows that the spatial mismatch exists in tourism income, resource abundance and tourism location on different levels. The center of tourism income locates at 117.63°E and 31.18°N, the center of resource abundance locates at 117.51°E and 31.12°N, and the center of tourism location locates at 117.20°E and 32.00°N. In longitudinal direction, the largest spatial mismatch is 0.43°, and the minimum is 0.12°. In latitudinal direction, the largest spatial mismatch is 0.88°, and the minimum is 0.06°. Compared with the regional geometric center, the largest spatial mismatch in longitude and latitude direction appears in the center of tourism income and resource abundance, and both are relatively favoring southward. According to the combination matrix between tourism income and resource abundance, and that between tourism income and tourism location, 8 cities indicate mismatched development and the other 8 indicate synchronous development. Generally, tourism spatial mismatch in Anhui is mainly caused by the uneven allocation of tourism locations and tourism resources. To be specific, the main causes are: the resource distribution, that little of which distributed in the northern region, medium in the central region and lots in the southern region; and the traffic condition, that is mild in the northern region, heavy in the central region, and light in the southern region. According to the various characteristics of these cities, each city should make full use of regional advantages and exploit its own potentialities. The international tourism and cultural demonstration areas in the south of Anhui, in Wan-jiang urban belt, in Hefei economic circle, and in the tourism region of north Anhui should take different spatial correction strategies to promote the development of regional tourism collaboratively.

Cite this article

CHENG Xiaoli, HU Wenhai . The Model Analysis on Spatial Mismatch of Tourism Development in Anhui Province[J]. Journal of Geo-information Science, 2015 , 17(5) : 607 -613 . DOI: 10.3724/SP.J.1047.2015.00607

References

[1] Kain J. Housing segregation, Negro unemployment and metropolitan segregation[J]. Quarterly Journal of Economics, 1968,82:175-197.
[2] Kasarda J. Urban change and minority opportunities[A]. in Peterson P(eds.). The new urban Reality[C]. Washington, DC: Brookings Institution, 1985:33-67.
[3] Wilson J. The truly disadvantaged: The inner city, the underclass, and public policy[M]. Chicago: University of Chicago Press, 1987:3-10.
[4] Ihlanfeldt K R, Sjoquist D L. The spatial mismatch hypothesis: A re-view of recent studies and their implications for welfare reform[J]. Housing Policy Debate, 1998,9(4):849-892.
[5] Masters S. Black-white income differentials: Empirical studies and policy implications[M]. New York: Academic Press, 1975:74-87.
[6] Galster G. Residential segregation and interracial economic disparities: A simultaneous equation's approach[J]. Journal of Urban Economics, 1987,21:22-44.
[7] Simpson, W. Urban structure and the labor market: Worker mobility, commuting and unemployment in cities[M]. Oxford: Clarendon Press, 1992:50-68.
[8] Thompson M A. The impact of spatial mismatch on female labor force participation[J]. Economic Development Quarterly, 1997,11(2):138-145.
[9] Immergluck D. Job proximity and the urban employment problem: Do suitable nearby jobs improve neighborhood employment rates?[J]. Urban Studies, 1998,35(1):7-23.
[10] 刘志林,王茂军,柴彦威.空间错位理论研究进展与方法论评述[J].人文地理,2010,25(1):1-6.
[11] 李连璞.区域旅游发展"同步-错位"诊断及差异分析——基于中国31省(区、直辖市)国内旅游统计数据[J].人文地理,2008,23(2):87-90.
[12] 王美红,孙根年,康国栋.中国旅游LR-NS-FA空间错位的组合矩阵分析[J].人文地理,2009,24(4):115-119.
[13] 方叶林,黄震方,张宏,等.省域旅游发展的错位现象及旅游资源相对效率评价——以中国大陆31省市区2000-2009年面板数据为例[J].自然资源学报,2013,28(10):1754-1764.
[14] 陈林娜.空间错位视角下区域旅游经济差异研究[D].秦皇岛:燕山大学,2013.
[15] 翁钢民,陈林娜.区域旅行服务、交通区位与旅游经济的空间错位研究[J].地理与地理信息科学,2014,30(4):90-94.
[16] 李创新,马耀峰,张佑印,等.中国旅游热点城市入境客流与收入时空动态演化与错位——重力模型的实证[J].经济地理,2010,30(8):1372-1377.
[17] 邓祖涛,尹贻梅.我国旅游资源、区位和入境旅游收入的空间错位分析[J].旅游科学,2009,23(3):6-10.
[18] 李振亭,张晓芳.中国入境旅游流流量与流质的空间错位分析[J].资源开发与市场,2013,29(7):758-761.
[19] 丁旭生,李永文,吕可文.基于空间错位理论的河南省旅游发展区域差异研究[J].地理与地理信息科学,2011,27(2):106-108.
[20] 李航飞.广东省旅游资源与旅游经济空间错位发展研究[J].韶关学院学报,2011,32(10):82-84.
[21] 陈乔.广西旅游景区、交通、旅游收入的空间错位研究[D].南宁:广西师范学院,2013.
[22] 闫静静,张满林.辽宁省旅游资源与旅游经济发展的空间错位分析[J].经济研究参考,2013(23):58-62.
[23] 裴星星,谢双玉,肖婉霜.山西省旅游业发展的空间错位分析[J].地理与地理信息科学,2014,30(2):102-106.
[24] 孙根年,刘璐.大西安旅游圈空间错位及边沿区战略[J].陕西师范大学学报(自然科学版),2012,40(5):81-87.
[25] 梁雪松,王河江,邱虹.旅游空间区位优势转换发展机遇的再探讨——基于"武广高铁"与"郑西高铁"视阈[J].西安财经学院学报,2010,23(3):26-31.
[26] 安徽省统计局.安徽统计年鉴(2013)[M].北京:中国统计出版社,2013.
[27] 李琦,孙根年.中国省际入境旅游资源吸引力与区位可达性的二维组合矩阵分析[J].干旱区资源与环境,2008,22(5):101-106.
[28] 郭永昌.上海社会阶层空间错位研究[D].上海:华东师范大学,2007.
[29] 宋金平,王恩儒.北京住宅郊区化与就业空间错位[J].地理学报,2007,62(4):387-396.

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