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RESEARCH ON FACTORS AFFECTING LAND PRICES IN THANH MIEN DISTRICT, HAI DUONG PROVINCE
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The study was conducted based on the application of exploratory factor analysis (EFA) and multi-linear regression models to analyze factors affecting land prices in Thanh Mien district, Hai Duong province. The authors used a 5-level Likert scale to design a questionnaire to assess the level of influence of factors on land prices in Thanh Mien district. Surveying 150 households with land use rights transfer transactions and officials related to land valuation with the questionnaire. SPSS software is used to process data, and the results after testing the scale with Cronbach's Alpha coefficient and EFA exploratory factor analysis identified 20 factors belonging to 5 groups of factors affecting land prices in the district. The results of the linear regression model analysis show that 74.283 % of the fluctuations in residential land prices are explained by factors affecting land prices, of which the group of factors with the greatest influence is the group of location factors (27.6 %), followed by the group of economic factors (26.93 %), followed by the group of social factors (20.76 %), the group of other factors (14.88 %) and finally the group of factors with the least influence is the group of policy factors (9.81 %).
Hanoi University of Natural Resources and Environment
Title: RESEARCH ON FACTORS AFFECTING LAND PRICES IN THANH MIEN DISTRICT, HAI DUONG PROVINCE
Description:
The study was conducted based on the application of exploratory factor analysis (EFA) and multi-linear regression models to analyze factors affecting land prices in Thanh Mien district, Hai Duong province.
The authors used a 5-level Likert scale to design a questionnaire to assess the level of influence of factors on land prices in Thanh Mien district.
Surveying 150 households with land use rights transfer transactions and officials related to land valuation with the questionnaire.
SPSS software is used to process data, and the results after testing the scale with Cronbach's Alpha coefficient and EFA exploratory factor analysis identified 20 factors belonging to 5 groups of factors affecting land prices in the district.
The results of the linear regression model analysis show that 74.
283 % of the fluctuations in residential land prices are explained by factors affecting land prices, of which the group of factors with the greatest influence is the group of location factors (27.
6 %), followed by the group of economic factors (26.
93 %), followed by the group of social factors (20.
76 %), the group of other factors (14.
88 %) and finally the group of factors with the least influence is the group of policy factors (9.
81 %).
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