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Luận văn thạc sĩ Quản lý xây dựng: Phân tích các yếu tố ảnh hưởng đến giá trị bất động sản công nghiệp khu vực phía Nam Việt Nam

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Tiêu đề Phân tích các yếu tố ảnh hưởng đến giá trị bất động sản công nghiệp khu vực phía Nam Việt Nam
Trường học Trường Đại học Kinh tế Tp. Hồ Chí Minh
Chuyên ngành Quản lý xây dựng
Thể loại Luận văn thạc sĩ
Năm xuất bản 2021
Thành phố Tp. Hồ Chí Minh
Định dạng
Số trang 100
Dung lượng 0,95 MB

Nội dung

LY$%675$&7 Foreign corporations have once again poured money into industrial real estate in Vietnam, adding to the country's strong industrial development.. However, given the current ro

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Foreign corporations have once again poured money into industrial real estate in Vietnam, adding to the country's strong industrial development However, given the current robust growth, there are numerous possible concerns, therefore lowering the risks for investors and identifying the elements that have the greatest impact on the value of industrial real estate are critical tasks Even though there has been a lot of past research on aspects of residential real estate, there has not been much research on industrial real estate

The research was carried out in two stages: Phase 1 requires twenty-five (25) factors to analyze the effect on the value of the industrial real estate in Vietnam's southern region in five aspects: quality, cost, location, objectivity, and a few others The average value test is used to determine which elements have an impact, and then the scale test is used to determine the scale's applicability The final phase in phase 1 is factor analysis, which is used to narrow down the elements and identify the most important influencing factors as well as the hidden components that lie beneath those primary factors In phase 2, data was collected on sixty- four factories in Ho Chi Minh City and the neighboring southern districts based on the nine criteria discovered in phase one An estimation model based on the OLS regression model has been proposed to estimate the value of real estate from nine identified factors After numerous attempts at model calibration and the testing with a few preliminary assumptions, they were found to be statistically insignificant and were removed from the model The final regression model was statistically significant when all of the assumptions were weighted

Further analysis of the factors in Phase 1 reveals a significant amount of potential within that has an impact on the industrial assets in the South The research also achieved an estimate based on the affecting factors, and the amounts of the estimate are all statistically significant Since then, research has been conducted to determine the value of industrial estate in Vietnam's southern region

The findings of the research will provide investors with a more thorough understanding of the affecting factors the value of industrial real estate in the South of Vietnam

Key words: industrial real estate, factors affecting, factor analysis, OLS regression model

(OLS)



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