Land Price Regression Model and Land Value Region Map to Support Residential Land Price Management: A Study in Nghe an Province, Vietnam
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1
Vinh University, School of Agriculture and Resources
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Vietnam National University of Agriculture, Faculty of Land Management Vietnam National
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Hanoi University of Mining and Geology, Faculty of Geomatics and Land Administration
Submission date: 2021-08-11
Final revision date: 2021-09-28
Acceptance date: 2021-11-07
Publication date: 2022-03-17
REMV; 2022;30(1):71-83
HIGHLIGHTS
- determining the factors affecting land prices is important to develop standards for residential land pricing
- establishing a valuable land value area map helps authorities as well as people understand changes in the development of the real estate market
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ABSTRACT
The real estate market in areas with many socio-economic activities needs to be strictly managed due to the difference between the market price of urban land and the price of land set by the state. This study identifies and analyzes the influence of some factors on land prices in peri-urban areas to develop land pricing standards consistent with the price level in Nghe An province. The study surveyed 362 land users and 200 samples of successfully transferred properties in the study area. Based on the multivariate regression method, the study builds a residential land price model and calculates the market price of residential land. The authors also established a map of land value areas to help State agencies manage land prices effectively. The research serves as a basis for State agencies to study the formation and development of the real estate market to develop appropriate land price management measures.