FACTORS AFFECTING RESIDENTIAL LAND PRICE IN DIEN BIEN PHU CITY, DIEN BIEN PROVINCE

Ngày nhận bài: 18-01-2017

Ngày duyệt đăng: 25-09-2017

Ngày xuất bản: 06-08-2025

DOI: https://doi.org/10.31817/tckhnnvn.2017.15.9.

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Số: Tập 15 Số 9 (2017)

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Cách trích dẫn:

Huyen, P., Hong, L., & Tra, H. (2025). FACTORS AFFECTING RESIDENTIAL LAND PRICE IN DIEN BIEN PHU CITY, DIEN BIEN PROVINCE . Tạp Chí Khoa học Nông nghiệp Việt Nam, 15(9), 1186–1195. https://doi.org/10.31817/tckhnnvn.2017.15.9.

FACTORS AFFECTING RESIDENTIAL LAND PRICE IN DIEN BIEN PHU CITY, DIEN BIEN PROVINCE

Phan Thi Thanh Huyen (*) 1, 2 , Lo Thi Hong 1, 2 , Ho Thi Lam Tra 1, 2

  • Tác giả liên hệ: [email protected]
  • 1 VietNam National University of Agriculture
  • 2 Master Student VietNam National University of Agriculture

    • Từ khóa

    Affect, Dien Bien Phu city, factor, residential land prices

    Tóm tắt


    The purpose of this study was to apply multivariate linear regression model to determine the factors that affect residential land price in Dien Bien Phu city, Dien Bien province. The obtained results showed that there were four groups of factors affecting the residential land price in Dien Bien Phu city, including: social factors, economic factors, regional factors and  individual factors. Collected data were processed using the statistical software SPSS; the consistency coefficient was measured with Cronbach's Alpha for scaling test and Exploring Factor Analysis (EFA) was used. The analysis of Multivariate Linear Regression Model indicated that 61.1% of the variation of residential land price could be explained by the variation of the 4 groups of independent variables, while the rest (38.9%) was explained by other factors outside the model. The model that showed factors affecting the residential land price of Dien Bien Phu city as follow: Y = 0.644 + 0.185X1 + 0.261X2 + 0.493X3 + 0.327X4. The regional factor had the highest effect on residential land price with 23.9%  contribution, followd by individual factor with contribution of 15.78%,  economic factor with contribution of 12.6%, and  social factor with contribution of 8.93%.

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