Land Price Regression Model and Land Value Region Map to Support Residential Land Price Management: A Study in Nghe an Province, Vietnam

Ha Pham Thi (), Tuan Nguyen Tran (), Nguyen Van Quan () and Nguyen Van Trung ()
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Ha Pham Thi: School of Agriculture and Resources, Vinh university in Vinh, Nghe An, Vietnam
Tuan Nguyen Tran: School of Agriculture and Resources, Vinh university in Vinh, Nghe An, Vietnam
Nguyen Van Quan: Faculty of Land Management, Vietnam National University of Agriculture, in Hanoi, Vietnam
Nguyen Van Trung: Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, in Hanoi, Vietnam

Real Estate Management and Valuation, 2022, vol. 30, issue 1, 71-83

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.

Keywords: land price regression model; market price; map of the value of residential land; Vietnam (search for similar items in EconPapers)
JEL-codes: R00 R39 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:remava:v:30:y:2022:i:1:p:71-83:n:6

DOI: 10.2478/remav-2022-0007

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