{"title":"确定越南中部城市周边地区的土地估值模型","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":"{\"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}","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}
Determining the land valuation model for peri-urban areas in Central Vietnam
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.