自然资源学报 ›› 2020, Vol. 35 ›› Issue (10): 2473-2483.doi: 10.31497/zrzyxb.20201013

• 其他研究论文 • 上一篇    下一篇

民宿价格的空间分异特征及影响因素——以湖北省恩施州为例

胡小芳, 李小雅, 赵红敏, 邓磊, 王天宇, 杨铄, 李景旺   

  1. 华中农业大学公共管理学院,武汉 430070
  • 收稿日期:2019-05-17 修回日期:2020-01-15 出版日期:2020-10-28 发布日期:2020-12-28
  • 作者简介:胡小芳(1976- ),女,湖北仙桃人,博士,副教授,研究方向为土地资源管理。E-mail: xf307@126.com
  • 基金资助:
    北京大学林肯城市发展与土地政策研究中心研究基金项目(2016001); 中央高校基本科研业务费专项(2662016PY131); 中央高校基本科研业务费专项(2662016PY056); 国家级大学新创新创业训练计划(201910504135)

Spatial variation characteristics and influencing factors of homestay inn price: A case study of Enshi, Hubei

HU Xiao-fang, LI Xiao-ya, ZHAO Hong-min, DENG Lei, WANG Tian-yu, YANG Shuo, LI Jing-wang   

  1. School of Public Administration, Huazhong Agricultural University, Wuhan 430070, China
  • Received:2019-05-17 Revised:2020-01-15 Online:2020-10-28 Published:2020-12-28

摘要: 民宿区别于传统的酒店,其价格具有独特的空间分布特征和影响因素。以湖北省恩施土家族苗族自治州民宿价格为研究对象,基于克里金法和特征价格模型,使用网络抓取的途家网民宿数据,运用ArcGIS 10.5进行插值分析,总结恩施州民宿价格的空间分布特征,并运用SPSS 24进行多元回归分析,构建特征价格模型,分析影响恩施民宿价格的影响因素。研究表明:(1)恩施民宿价格集聚效应明显,呈现“一大两小”的三个价格高值区;(2)民宿内部环境对民宿价格影响最为显著,民宿消费者更加注重其体验感和融入感;(3)省道和景点对民宿价格影响显著,而国道影响较小;(4)不同经营主体对民宿定价有所不同,其中个人房东经营民宿,其定价水平较高。研究结果为民宿选址、定价、空间布局以及旅游体验服务等方面提供参考。

关键词: 民宿, 价格, 空间分异, 影响因素, 恩施州

Abstract: Compared to traditional hotels, the price of homestay inn has unique spatial distribution characteristics and influencing factors. This research, taking the homestay inn price of Enshi Tujia & Miao Autonomous Prefecture in Hubei province as an example, used data crawling to abtain the homestay inn data from tujia.com to make an interpolation analysis with the aid of ArcGIS 10.5. Then it summarized the spatial distribution characteristics of the homestay inn prices in the study area. Meanwhile, Hedonic price model is built by using SPSS to analyze the influencing factors of homestay inn price in Enshi. Research results indicated that: (1) The cluster effect of the homestay inn price is obvious. It forms three relatively high price areas featured by "one high and two low values". (2) Consumers focus on experience and integration when they choose homestay inn. The internal environment of homestay inn has the most striking influence on the homestay inn price. (3) Provincial highways and scenic spots have significant influence on the homestay inn price, while national highways have a small impact. (4) Pricing of homestay inn varies between different operators. The individual landlords who manage homestay inn ask for higher price. The results provide reference for the location, pricing, accommodation space layout and tourism experience services of homestay inn.

Key words: homestay inn, price, spatial variation, influencing factor, Enshi