Determining the optimal land valuation model: A case study of Hanoi, Vietnam

Quang Cuong Doan

Land Use Policy, 2023, vol. 127, issue C

Abstract: In Vietnam, the central Government issues land price brackets, and people's committees promulgate land price tables for five years. The published land prices are always lower than transaction prices in the market, resulting in many problems such as loss of state budget, inequality in charge of compensation, and land clearance for citizens. The study aims to uncover factors that influence land prices to build optimal land valuation models for land valuation. Using the Bayesian Model Average, the findings show that several factors strongly influence urban residential land prices in Hanoi's outskirts (Quoc Oai district), such as road type, hospitals, and industrial areas. Other factors as green space and schools, are insignificant in land purchases. The finding also indicated that the optimal model in this study showed a slight difference in valuation prices from the actual market prices. The study also determined that the mass land valuation model would be promising in Vietnam and dual-price countries.

Keywords: Optimal land valuation; Bayesian model average; Mass land valuation; Land price; Dual-pricing system; Hanoi; Vietnam (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:127:y:2023:i:c:s0264837723000443

DOI: 10.1016/j.landusepol.2023.106578

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