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中国农学通报 ›› 2020, Vol. 36 ›› Issue (32): 158-164.doi: 10.11924/j.issn.1000-6850.casb20190900684

• 三农研究 • 上一篇    

基于2种回归方法的北方农区村庄宅基地价格影响因素研究

李欣诺(), 钟天颖, 王瑷玲(), 郭璨, 于欢, 刘健   

  1. 山东农业大学资源与环境学院,山东泰安 271018
  • 收稿日期:2019-09-25 修回日期:2019-12-01 出版日期:2020-11-15 发布日期:2020-11-19
  • 通讯作者: 王瑷玲
  • 作者简介:李欣诺,女,1995年出生,山东临沂人,在读硕士,研究方向:土地利用与评价。通信地址:271018 山东省泰安市泰山区岱宗大街61号 山东农业大学资源与环境学院,Tel:0538-8243919,E-mail: lixinnuohh@qq.com
  • 基金资助:
    山东省自然科学基金“城乡融合发展中农村宅基地价值影响机制与评估方法研究”(ZR2019MD014)

Influencing Factors of Village Homestead Price in Northern Agricultural Area Based on Two Kinds of Regression Methods

Li Xinnuo(), Zhong Tianying, Wang Ailing(), Guo Can, Yu Huan, Liu Jian   

  1. College of Resources & Environment, Shandong Agricultural University, Taian Shandong 271018
  • Received:2019-09-25 Revised:2019-12-01 Online:2020-11-15 Published:2020-11-19
  • Contact: Wang Ailing

摘要:

为明确影响北方农区宅基地价格的因素,科学推进相关制度改革,从村庄规模、经济水平等5方面共初选16个因素,采用多元线性、有序Logistic回归分别构建影响因素计量模型,筛选显著影响因素。结果表明:(1)距镇驻地距离、农用地面积、村庄道路硬化率、对外交通便利度等在2个模型中均表现显著,购物便利度仅在Logistic模型中表现显著;(2)距镇驻地距离为负向影响,其余显著因素为正向影响,提高村内道路硬化水平,增设公交线路、便民商超,增加农用地面积,能够提高宅基地价格。研究结果说明:2种模型回归结果基本一致,提高研究结果可靠性;交通区位、基本设施因素影响较大,村庄规模次之,经济水平、生态环境等未表现显著影响。

关键词: 北方农区, 宅基地价格, 影响因素, 多元线性, 有序Logistic

Abstract:

To clarify the influencing factors of village homestead price in northern agricultural area, and to promote the reform of relevant system, initially a total of 16 factors were selected from five aspects of village size, economic level and so on. Then multiple linear regression and ordinal logistic regression were used to construct influencing factor measurement models to screen the significant influencing factors. The results show that (1) some factors have significant effect in both models, including the distance from the town, the area of agricultural land, the hardening rate of village’s road and the convenience of external transportation, while the shopping convenience is only significantly demonstrated in the ordinal logistic model; (2) the distance from the town is a negative impact, the others show positive effects, higher level of road hardening in the village, more public transportation lines and market, and adding the area of agricultural land could escalate homestead price. The study indicate that the regression results of the two models are generally the same, and the application of multiple methods could improve the reliability of the research results; the factors of transportation location and basic facilities have greater influence, followed by village scale, but economic level and ecological environment have no significant impact.

Key words: northern agricultural area, homestead price, influencing factors, multiple linear regression, ordinal logistic regression

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