VNUHCM Journal of Science and Technology Development

An official journal of Viet Nam National University Ho Chi Minh City, Viet Nam since 1998

Skip to main content Skip to main navigation menu Skip to site footer

 Section: ECONOMICS, LAW AND MANAGEMENT

HTML

333

Total

70

Share

Predicting intention to buy real estate for investment in Da Lat city, Vietnam, with an extended theory of planned behavior






 Open Access

Downloads

Download data is not yet available.

Abstract

This study aimed to predict the intention to buy real estate for investment. It was guided by the Theory of planned behavior (TPB) and Financial Management Behavior View (FMBV). Apart from 6 in-depth interviews, a total of 253 questionnaires were completed by respondents in Da Lat City, Lam Dong Province. By mixing both quantitative and qualitative research and data, the breadth and depth of understanding about real estate buying behavior were gained, and hypotheses were tested. The results show that the extended TPB, which includes customers’ attitudes, subjective norms, perceived behavior control, and financial satisfaction, is a good model for predicting the willingness to buy real estate for investment. As a result, planned behavior and financial satisfaction played a role in the intention to buy real estate for investment in Da Lat city, Vietnam. Managerial implications were also grasped: real estate companies might pay attention to the attitude of their customers, finding out who could influence the customers’ decision-making in a real estate context, helping their customers have better understanding while buying real estate; customers’ financial satisfaction is also considerable while dealing with real estate customers.

Introduction

The drive for this research is threefold-fold. First, Vietnam is now becoming one of the luxury property market hotspots. The World Bank in Vietnam 1 reveals that Vietnam has a booming economy with economic growth of 7.1% in 2018, after expansions of 6.8% in 2017 and 6.2% in 2016, and is considered one of the most dynamic emerging countries in East Asia. Foreigners easily own real-estate property in Vietnam with new laws, e.g., the Housing Law and Law on Real Estate Business (effective July 1, 2015), the law on Sell and Transfer of Real Properties, which was subsequently fleshed out by Decree No 99 (effective on December 10, 2015) and by Circular 19 (effective August 2016). The Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) effective on January 14, 2019, is expected to attract more wealthy international investors, who are looking for real estate investment opportunities in Vietnam 2 . In addition, Vietnam’s urbanization rate reached 38% in 2018, an increase of 0.9% compared to 2017. The increase in urbanization in 2018 caused the real estate and construction materials markets to achieve considerable growth. According to Deputy Minister of Construction Le Quang Hung, approximately 50% of Vietnam's population will live in urban areas by the 1940s. Mr. Hung also added that the Ministry of Construction will focus on interconnection with other regional markets in 2019 3 .

Second, real estate purchasing could be investigated from a behavioral perspective rather than from a utilitarian perspective. Real estate purchasers were said to make rational purchasing decisions from available information. Theoretically, real estate evaluation is said to depend on the physical characteristics of real estate, such as location 4 and public services 5 . However, the inclusion of consumer behavior concepts would benefit the study of real estate 6 . In fact, behavioral research could help to understand housing purchases 7 . As a result, the real estate market must be explored as a behavioral science 8 . This study applies the Theory of Planned Behavior, explaining the real estate buying intention for investment.

Third, integrating buyer’s financial satisfaction would improve understanding of individual decision-making behavior in the context of real estate. Income positively influences financial satisfaction 9 , 10 , financial decision making 11 and preparation for financial emergencies 10 . There is a relationship between financial satisfaction and the ability to make investment decisions 12 . This study investigates the effect of financial satisfaction on real estate buying intention for investment, extending the Theory of Planned Behavior.

This study can provide crucial insight for real estate investors because there are very few research papers investigating the behaviors of real estate investors in Vietnam. Earlier studies in Vietnam (e.g., 13 , 14 , 15 ) explored real estate purchasing from a utilitarian perspective, while behaviors were impacted by preceding mental information processing 6 . This paper, therefore, explains real estate purchasing behaviors by investigating the behaviors influencing buyers’ intentions.

Literature review and hypothesis development

Combining the Theory of Planned Behavior (TPB) and the Financial Management View (FMV), this study considers four factors that influence real estate buying intention for investment. The first three factors include attitude, perceived norm and perceived control from the perspective of TPB. The fourth factor is financial satisfaction with FMV.

The TPB holds that intention to perform the behavior is the most important determinant of behavior in the integrated behavioral model, along with the four factors that directly affect behavior, i.e., environmental constraint preventing performance, salience of the behavior, knowledge and skills to perform the behavior, and habit 16 .

The literature on TPB indicates that attitude, perceived norm and perceived control positively affect customers’ intention to purchase 17 . This theory has been applied in a number of contexts, e.g., online grocery shopping 18 , halal food purchasing 19 , and organic product purchasing 20 . Attitude toward consumers’ behavior is defined as the overall favorableness or unfavorableness toward their purchasing behavior. Perceived norm is regarded as social pressure on the performance of a particular behavior. Perceived control is consumers’ perceived degree of control over behavioral performance. Consumers’ buying intention would likely be determined by these three factors. Three hypotheses are proposed as follows:

H1: The more positive the attitude toward real estate investment is, the greater consumers’ purchase intention toward real estate investment.

H2: The more positive the perceived norm of real estate investment, the greater the consumers’ purchase intention of real estate for investment.

H3: The more positive the perceived control of real estate investment is, the greater consumers’ purchase intention of real estate for investment.

Figure 1 . Behavioral Model of Real estate Buying Intention for Investment

In addition to the three determinants, from a financial management perspective, those who are more satisfied with their finances will be more likely to make investment decisions. Real estate prices continue to increase, which is attractive to those who can afford to buy real estate for investment. Based on neoclassical economics, previous studies on real estate showed that consumers are expected to maximize their wealth 6 . However, families could face financial difficulties because of personal risks such as illness, property losses, and death 10 . One, therefore, tends to invest more money in real estate when he feels confident about his financial status, apart from support from his family members. Therefore, it is rational to consider financial satisfaction as one of the determinants of real estate buying intention.

Figure 1 shows the behavioral model of real estate buying intention. The proposed hypothesis will be

H4: The more customers feel satisfied with their financial status, the greater their purchase intention of real estate for investment.

Methodology

This is a two-stage study. First, 6 in-depth interviews were conducted. The interviews were conducted to seek initial support for the research model, especially financial satisfaction as a newly added factor in comparison with previous studies about real estate buying intention (e.g. 21 , 22 ). These qualitative data were also used to modify the research instrument and to enrich the quantitative results.

The main quantitative research was performed with more than 300 questionnaires distributed to respondents, and 253 completed questionnaires were used for analysis. Selected randomly, the sample of this study included people living in Da Lat City, Lam Dong Province, aged between 18 and 55 years. The questionnaire was adapted from various studies 17 , 21 , 23 . The Statistical Package for Social Science (SPSS) version 21 was applied to analyze the data profile and to test the hypotheses.

The goodness of the measures was confirmed by factor analysis and reliability 24 . Explanatory factor analysis (EFA) was conducted based on the suggestion of Hair, Black 24 using the varimax rotation method, the Kaiser–Meyer–Olkin (KMO) test in Bartlett’s test, and Cronbach’s alpha value.

The demographic information of respondents was analyzed with descriptive statistics (see Table 1 ). The goodness of measure and hypothesis were tested with regression to investigate the effect of the independent variable on buying intention. By mixing both quantitative and qualitative research and data, the breadth and depth of understanding about real estate buying behavior were gained.

Result

Initial support of the research model in Figure 1 was found in the qualitative research. Interviewees showed that their attitude toward real estate investment is associated with their purchase intention. Family members have a considerable effect on customers’ intention to buy real estate for investment. Those who received more support from the family would invest more in real estate. Additionally, there is a positive relationship between the perceived control of real estate investment and customers’ buying intention. Importantly, qualitative data indicated that customers who are more satisfied with their family finances feel more confident and have more intention to buy real estate to obtain higher income. These qualitative results support the use of the research model in the next quantitative study.

Table 1 Survey respondents’ profile

The goodness of the measures and sampling adequacy were ensured, as presented in Table 2 . Factor loadings and cross-factor loadings for independent variables were extracted from the rotated component matrix. The eigenvalues of 4 factors of 19 observed variables are greater than 1. The four factors include financial satisfaction, perceived control, and perceived norms with family’s influence. The Cronbach’s alpha values for all factors are greater than 0.5. KMO is 0.89 for Bartlett’s test of sphericity to be significant.

Table 2 Reliability and Exploratory factor analysis
Table 3 Results of the regression

Regression analyses were performed to confirm the relationship between the independent variables and dependent variables. The results show that R square = 66,4%; this means that approximately 66,4% of the variation of the dependent variable was explained by the independent variables jointly. F value =122.576, and p = 0.000 confirm the adequation of the model. All four hypotheses were confirmed. Table 3 presents detailed results of the regression analyses.

Discussion & Conclusion

This study explains real estate purchases by investigating the behavior influencing buyers’ intentions. The combination of the Theory of Planned Behaviors and Financial Management Behavior View enriches the literature on buying behavior and decision making for personal/family investment. The variation of the dependent variable can be explained more by the four factors jointly in comparison with previous studies that used three factors of the Theory of Planned Behaviors, e.g ., those of Al-Nahdi, Ghazzawi 22 , and Al-Nahdi, Habib 21 . As suggested by Gibler and Nelson 6 , the use of consumer behavior concepts in traditional real estate studies could improve the understanding of individual decision-making, leading to better explanations and predictions in real estate markets and, as a result, greater success in the marketplace.

The TPB was extended in various contexts, and this study included financial satisfaction in the standard model in the context of real estate purchases for investment. Hansen 18 found that personal values influenced consumers’ attitudes toward online grocery buying and that this relation may be moderated by consumers’ online purchases in the past. Group norms and self-esteem were added to the standard TPB variables to predict intentions to use social networking sites frequently 25 . The inclusion of perceived value in an extended TPB model is fruitful, increasing the variance in continuance participation intention and participation behavior over the standard TPB constructs 26 . Risk perceptions, anticipated regret, benefits and habits were included in the standard TPB for further analysis of the personal protective equipment use of UK riders 27 . Maloney, Lee 20 found that perceived expensiveness indirectly influences intention to buy through attitude. In line with the above-cited studies, the extended TPB, which includes peoples' attitudes, perceived norms, perceived control, and financial satisfaction, turned out to be a good model to predict consumers’ willingness to purchase real estate for investment.

Several managerial implications were also grasped. Based on neoclassical economics and the utilitarian perspective, previous studies on real estate buying have investigated available information for investors, and this study confirms the role of planned behavior and financial satisfaction. As a result, real estate companies might pay attention to the attitude of their customers, finding out who could influence the customers’ decision-making in a real estate context, helping their customers have better understanding while buying real estate. This is because this could improve customers’ buying intention. In addition, customers’ financial satisfaction is considerable when dealing with real estate customers.

This study has several limitations. Given that the study was conducted in Da Lat city, a generalization to all real estate customers in Vietnam might not be reached. In other words, the result may not accurately reflect the actual customers’ intention to purchase real estate all over Vietnam. To generalize the findings, further research in many different geographical areas in the country should be conducted.

Competing Interests

The authors declare that they have no competing interests.

Authors' Contributions

Authors significantly contributed to this work, read and approved the final manuscript.

Appendix A

Could you indicate below to what degree you agree or disagree with the statements?

(1 = Strongly Disagree; 5 = Strongly Agree)

Attitude

Buying real estate for investment is

TD1 Lubricant

TD2 Good idea

TD3 Clever

TD4 Admirable

Subjective Norm. RE (Real Estate)

CCQ1 Think I should invest in RE

CCQ2 Want me to invest in RE

CCQ3 Let me invest in RE

CCQ4 Think it is my wise decision

Perceived behavioral control

You have the following items for making decisions on buying real estate for investment.

NTKS1 Opportunities

NTKS2 Enough time

NTKS3 Enough money

NTKS4 Information

NTKS5 Skills and knowledge

NTKS6 Controllability

Financial satisfaction

TMTC1 Ability to meet needs

TMTC2 No need to purchase assets

TMTC3 Regular savings

TMTC4 Controllable debts

TMTC5 Ability to meet long-term financial goals

TMTC6 Ability to meet financial emergencies

TMTC7 Ability to manage family's finance

Buying intention

YD1 Invest in RE in future

YD2 Plan for investment in RE

YD3 Try to invest in RE

YD4 Want to invest in RE

References

  1. The World Bank in Vietnam. Vietnam's shift from a centrally planned to a market economy has transformed the country from one of the poorest in the world into a lower middle-income country: The World Bank in Vietnam; 2019 [updated Oct 18, 201921 February, 2020]. . ;:. Google Scholar
  2. Delmendo Lc. Vietnam's thriving property market: Global Property Guide; 2019 [updated June 20, 2019February 21, 2020]. . ;:. Google Scholar
  3. Hanoitimes. Vietnam's urbanization rate in 2019 to reach 40%. . ;:. Google Scholar
  4. Al-Nahdi TS. Factors Influencing the Intention to Purchase Real Estate in Saudi Arabia Role of Location. J Appl Sci & Agric. 2014;9(18):32-42. . ;:. Google Scholar
  5. Al-Nahdi TS. Factors influencing the intention to purchase real estate in Saudi Arabia. Role of public service. J Appl Sci & Agric. 2015;10(2):1-11. . ;:. Google Scholar
  6. Gibler K, Nelson S. Consumer behavior applications to real estate education. Journal of Real Estate Practice and Education. 2003;6(1):63-83. . ;:. Google Scholar
  7. Graaskamp JA, Jarchow SP. Graaskamp on real estate: ULI-the Urban Land Institute; 1991. . ;:. Google Scholar
  8. DeLisle JR. Lessons (To Be) Learned. The Appraisal Journal. 2012. . ;:. Google Scholar
  9. Davis EP, Helmick SA. Family financial satisfaction: The impact of reference points. Home Economics Research Journal. 1985;14(1):123-31. . ;:. Google Scholar
  10. Sumarwan U, Hira TK. Credit, saving, and insurance practices influencing satisfaction with preparation for financial emergencies among rural households. Home Economics Research Journal. 1992;21(2):206-27. . ;:. Google Scholar
  11. Rettig KD, Schulz CL. Cognitive style preferences and financial management decision styles. Financial Counseling and Planning. 1991;2:25-54. . ;:. Google Scholar
  12. Loibl C, Hira TK. Self-directed financial learning and financial satisfaction. Journal of Financial Counseling and Planning. 2005;16(1):11. . ;:. Google Scholar
  13. Doan HTT. Analysing determinants of real estate investment in Ben Tre province (Vietnam): Hochiminh Economics University; 2013. . ;:. Google Scholar
  14. Nguyen L. Developing investment in Vietnam real estate market: Hochiminh Economics University; 2006. . ;:. Google Scholar
  15. Tran KC. Vietnam real estate market: literature review, background and solutions. Journal of Economic Management. 2007(12):30-6. . ;:. Google Scholar
  16. Montano DE, Kasprzyk D. Theory of reasoned action, theory of planned behavior, and the integrated behavioral model. Health behavior: Theory, research and practice. 2015;70(4):231. . ;:. Google Scholar
  17. Ajzen I. The theory of planned behavior: Academic Press, Inc.; 1991. 179-211 p. . ;:. Google Scholar
  18. Hansen T. Consumer values, the theory of planned behaviour and online grocery shopping. International Journal of Consumer Studies. 2008;32(2):128-37. . ;:. Google Scholar
  19. Alam SS, Sayuti NM. Applying the Theory of Planned Behavior (TPB) in halal food purchasing. International Journal of Commerce and Management. 2011. . ;:. Google Scholar
  20. Maloney J, Lee M-Y, Jackson V, Miller-Spillman KA. Consumer willingness to purchase organic products: Application of the theory of planned behavior. Journal of global fashion marketing. 2014;5(4):308-21. . ;:. Google Scholar
  21. Al-Nahdi TS, Habib SA, Bakar AHA, Bahklah MS, Ghazzawi OH, Al-Attas HA. The effect of attitude, dimensions of subjective norm, and perceived behavior control, on the intention to purchase real estate in saudi arabia. International Journal of Marketing Studies. 2015;7(5):120. . ;:. Google Scholar
  22. Al-Nahdi TS, Ghazzawi OH, Bakar AHA. Could Behavioral Factors Affect Purchaser's Behavior of Real Estate in Jeddah. International Journal of Business and Management. 2015;10(10):87. . ;:. Google Scholar
  23. Gunay G, Boylu AA, Oğuz A. Determinants of financial management behaviors of families. Handbook of Research on Behavioral Finance and Investment Strategies: Decision Making in the Financial Industry: IGI Global; 2015. p. 236-54. . ;:. Google Scholar
  24. Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL. Multivariate Data Analysis. Sixth ed. Upper Sadle River: Pearson Prentice Hall; 2006. . ;:. Google Scholar
  25. Baker RK, White KM. Predicting adolescents' use of social networking sites from an extended theory of planned behaviour perspective. Computers in Human Behavior. 2010;26(6):1591-7. . ;:. Google Scholar
  26. Al-Debei MM, Al-Lozi E, Papazafeiropoulou A. Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decision support systems. 2013;55(1):43-54. . ;:. Google Scholar
  27. Norris E, Myers L. Determinants of Personal Protective Equipment (PPE) use in UK motorcyclists: Exploratory research applying an extended theory of planned behaviour. Accident Analysis & Prevention. 2013;60:219-30. . ;:. PubMed Google Scholar


Author's Affiliation
Article Details

Issue: Vol 25 No 2 (2022)
Page No.: 2418-2423
Published: Jun 30, 2022
Section: Section: ECONOMICS, LAW AND MANAGEMENT
DOI: https://doi.org/10.32508/stdj.v25i2.3296

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Dang, V., & Bui, H. (2022). Predicting intention to buy real estate for investment in Da Lat city, Vietnam, with an extended theory of planned behavior. VNUHCM Journal of Science and Technology Development, 25(2), 2418-2423. https://doi.org/https://doi.org/10.32508/stdj.v25i2.3296

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 333 times
PDF   = 55 times
XML   = 15 times
Total   = 70 times