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Growing Science » Management Science Letters » A quantitative analysis of housing and its correlates in rural Vietnam

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Management Science Letters
ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print)
Quarterly Publication
Volume 10 Issue 11 pp. 2419-2424, 2020

A quantitative analysis of housing and its correlates in rural Vietnam Pages 2419-2424 PDF Download PDF

Authors: Cuong Hoang Van, Yen Hai Thi Nguyen

📋 Author Affiliations:
C.H. Van ORCID , Y.H.T. Nguyen ORCID
¹ Faculty of Real-Estate and Resources Economics, National Economics University, Hanoi, Viet Nam
doi 10.5267/j.msl.2020.4.009
2 Source: Scopus
Crossref Source: CrossRef

🔑 Keywords: Housing conditions, House type, Multinomial logit, Rural, Vietnamese students

Abstract: Using data from the 2018 Vietnam Household Living Standard Survey, the current study ex-amines factors associated with housing conditions in rural Vietnam. We used both descriptive statistics and regression analyses. Controlling for other factors in the regression models, the study finds that households with better education and occupation were more likely to have larger sizes of housing area per person, higher value of the house and permanent houses. Also, the housing conditions are much better for the Kinh population (the ethnic majority) than that for ethnic minorities. In addition, we find that the opportunities for obtaining better housing outcomes vary largely across regions. Our research findings suggest that improving the access of ethnic minorities to education and better job are expected to improve the housing conditions.

How to cite this paper
APA: Van, C & Nguyen, Y. (2020). A quantitative analysis of housing and its correlates in rural Vietnam. Management Science Letters, 10(11), 2419-2424.
Chicago/Turabian: Van, C & Nguyen, Y. 2020. "A quantitative analysis of housing and its correlates in rural Vietnam." Management Science Letters 10, no. 11 (2020): 2419-2424.
AMA: Van, C & Nguyen, Y. A quantitative analysis of housing and its correlates in rural Vietnam. Management Science Letters. 2020;10(11):2419-2424.

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📚 Journal: Management Science Letters | 📅 Year: 2020 | 📖 Volume: 10 | 📄 Issue: 11 | 👁️ Views: 1778 | 📊 Crossref:

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