热带地理 ›› 2017, Vol. 37 ›› Issue (4): 591-600.doi: 10.13284/j.cnki.rddl.002964

• 论文 • 上一篇    下一篇

山岳型风景区零售网点租金测算 ——以黄山风景区为例

祁黄雄1,2,邹晓萌3,蒋长春4,马 娜3,林 燊5,林俞先6,费伟成7   

  1. (1.五邑大学 经管学院,广东 江门 529020;2.清华珠三角研究院智慧旅游中心,广州 510530;3.浙江财经大学 经济学院,杭州 310018; 4.莆田学院 旅游系,福建 莆田 351100;5.黄山风景区管委会,安徽 黄山 242700;6.住建部城乡规划管理中心,北京 100835; 7.北京大学 城市与环境学院,北京 100871)
  • 出版日期:2017-07-05 发布日期:2017-07-05
  • 通讯作者: 邹晓萌(1994―),女,河南人,硕士研究生,研究方向为人口、资源与环境经济,(E-mail)825972970@qq.com。
  • 作者简介:祁黄雄(1974―),男,福建人,教授,硕士生导师,研究方向为城市规划,(E-mail)1939386158@qq.com
  • 基金资助:

    教育部人文社会科学研究规划基金项目;环杭州湾农户行为对土地利用的影响机理及其调控机(11YJAZH071)

Retail Store Rent Calculation for Mountain Scenic Spot: A Case Study of Huangshan Scenic Area

QI Huangxiong1,2,ZOU Xiaomeng3,JIANG Changchun4,MA Na3,LIN Shen5,LIN Yuxian6,FEI Weicheng7   

  1. (1.School of economics and management,Wuyi University,Jiangmen 529020,China;2.Tsinghua Pearl River Delta Institute of Wisdom Tourism Center,Guangzhou 510530,China;3.School of economics,Zhejiang University of Finance and Economics,Hangzhou 310018,China;4.Department of Tourism,Putian University,Putian 351100,China;5.Huangshan Management Committee,Huangshan 242700,China;6.The Administration Center of Urban-Rural Planning,Ministry of Housing & Urban-Rural Development of P. R. China,Beijing 100835,China; 7.College of Urban and Environment Science,Peking University,Beijing 100871,China)
  • Online:2017-07-05 Published:2017-07-05

摘要:

以黄山风景区为例,探索了适用于景区零售网点的租金测算方法。通过文献查阅、实地勘探及访谈等方式,梳理了黄山风景区内零售网点的分布、现状条件等基本情况,在此基础上借助级差地租的理论基础和环比价格指数的思路,以专家评估法、市场比较法等,总结了测算租金的方法,选取山上山下零售网点所售典型商品价格,并根据修正系数,测算出景区零售网点合理的租金。根据测算结果发现:零售网点的面积在一定程度上影响其租金,一般认为面积大的零售网点的租金高于面积小的,而地理位置也对零售网点的租金有较大的影响,地理位置便利而且人流量大的零售网点的租金高于一般低端的零售网点的租金。景区在制定租金定价时可根据零售店的地理位置以及占地面积作合理的取量。在设计上对零售网点的布局进行合理地规划,主要采取保留、改造、合并、取消、新建5种方式。

关键词: 零售网点, 租金测算, 黄山风景区

Abstract:

Retail stores are relatively closed in Mountain Scenic Area. They are generally distributed along the step road, where market competition is insufficient. It is difficult to fully measure the store rent to standardize management and improve the service level. Taking Mount Huangshan scenic area as an example, this paper attempts to establish a relatively perfect rent calculation method for the retail outlets in the scenic area. The calculation method is called a comprehensive correction method. Firstly, according to the local actual situation the rent per unit area (square meter) is estimated, then the corresponding measurement of the chain price index and correction coefficient in various retail outlets is conducted, and finally, the business accounting is adjusted with the general calculation formula, and the per unit area rent for every retail outlet is estimated. Through literature review, field survey and interviews, the basic situation of the Mount Huangshan scenic area, and the distribution of retail stores in current conditions are studied. Selecting the prices of typical commodities which the retail outlets in different locations sell, according to the correcting coefficient, this paper calculates the reasonable rent per unit area for those stores on the basis of using land tax theory and chain price index method, expert evaluation method and market comparison. The survey results show that in the rental area to a certain extent, the rent for large retail store is higher than that for the small one, and the geographical location of the retail store also has impact on the rent. The rent for those at the locations with better communications and large people flow would be higher than that for the low-end retail outlets. These two factors, namely, the geographical location and the space area, also affect the income of the retail stores to some extent. The results of the rent calculation analysis in this paper can be used to make rational rent pricing and planning of the distribution of retail outlets. For reallocation of the retail outlets five ways can be comprehensively taken: preservation, cancellation, merging, transformation, and new construction.

Key words: retail store, rent calculation, Huangshan scenic area