{"title":"Determining the land valuation model for peri-urban areas in Central Vietnam","authors":"Le Huu Ngoc Thanh, N. Ngự","doi":"10.31893/multiscience.2024139","DOIUrl":null,"url":null,"abstract":"The research objective is to build a land valuation model for peri-urban areas in central Vietnam. This was achieved by conducting 200 surveys that examined other factors that influence land prices using a 5-level Likert scale. Then, the Hedonic regression provide novelty in research model was built using SPSS 26.0 software. The research results have given a land pricing model that explains 72.8% of land price fluctuations. This model identifies the main factor causing these fluctuations. These factors include distance to the main road (30.92%), ability to generate cash flow (23.13%), area of the land (16.14%), feng shui (8.14%), location of the land plot (8.00%), width of road attached to the land plot (7.25%), and education level in the area around the land plot (6.44%). This study will illuminate the suitability of the regression model for land valuation in peri-urban regions of Central Vietnam, providing valuable guidance for policymakers, real estate professionals, researchers and the local residents in this field.","PeriodicalId":218411,"journal":{"name":"Multidisciplinary Science Journal","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multidisciplinary Science Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31893/multiscience.2024139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The research objective is to build a land valuation model for peri-urban areas in central Vietnam. This was achieved by conducting 200 surveys that examined other factors that influence land prices using a 5-level Likert scale. Then, the Hedonic regression provide novelty in research model was built using SPSS 26.0 software. The research results have given a land pricing model that explains 72.8% of land price fluctuations. This model identifies the main factor causing these fluctuations. These factors include distance to the main road (30.92%), ability to generate cash flow (23.13%), area of the land (16.14%), feng shui (8.14%), location of the land plot (8.00%), width of road attached to the land plot (7.25%), and education level in the area around the land plot (6.44%). This study will illuminate the suitability of the regression model for land valuation in peri-urban regions of Central Vietnam, providing valuable guidance for policymakers, real estate professionals, researchers and the local residents in this field.