What is in a name? A modern interpretation from housing price in Hong Kong

Author/s: Na Li, Rita Yi Man Li, Ruihui Pu

Date Published: 02/01/2021

Published in: Volume 27 - 2021 Issue 1 (pages 55 - 74)

Abstract

Hong Kong is a metropolitan city. Owing to its historical background as a former British colony, it is characterised by a mixture of Chinese and Western cultures. While most housing estates’ names are bilingual in Chinese and English, many recent large scale housing estates have an English name only. Do housing estates with an English name only associate with higher prices than bilingual ones? To the best of our knowledge, none have studied that before. We attempted to fill this research gap. Four large-scale residential projects in Yuen Long District were selected, two are bilingual and two have English names only. 253,605 data points, including macroeconomic variables and housing characteristics, were included in this study. The results of the hedonic price model showed that properties with English names only were associated with a higher price than bilingual ones. We also utilised a long short-term memory (LSTM) housing price prediction model to predict housing price. Our research results show that housing estates with English names only are associated with higher housing price. It provides a new perspective on real estate housing estates’ brand management and provide a reference for real estate buyers in the future.

Download Full Article

Download the Full Article PDF

14445921.2021.1961182.pdf 14445921.2021.1961182.pdf (3MB)

Keywords

Brand Management - Chinese and English Name - Hedonic Regression; Lstm - House Price - Real Estate

References

  • Wen, B., & Yan, Q. (2020) Jiangxi Science. 38(4),. . LSTM stock price forecasting model with multidimensional data processing , 443-449.Jiangxi Science. Geng, B., Bao, H., & Liang, Y. (2015) A study of the effect of a high-speed rail station on spatial variations in housing price based on the hedonic model. Habitat International, 49, 333-339. Bischoff, O. (2012) Explaining regional variation in equilibrium real estate prices and income, Journal of Housing Economics. 21(1), –.p:1-15. Journal of Housing Economics. Céline, G.L., & Arthur, K. (2014) Regional Science & Urban Economics,. Chan, N.Lou, H. (2011) Pacific Rim Property Research Journal. 17(1), p:110-131. Pacific Rim Property Research Journal. Su, C.W., Wang, X.Q., Tao, R., & Chang, H.L. (2019) International Review of Economics and Finance. Does money supply drive housing prices in China? , 60, 85-94.International Review of Economics and Finance. Del Giudice, V.De Paola, P. (2014) The effects of noise pollution produced by road traffic of naples beltway on residential real estate values, Applied Mechanics and Materials. 587-589(587), p:2176-2182. Applied Mechanics and Materials. Del Giudice, V.De Paola, P.Manganelli, B.Forte, F. (2017) The monetary valuation of environmental externalities through the analysis of real estate prices, Sustainability. 9(2), p:229-345. Sustainability. Dietzel, M.A., Braun, N., & Schäfers, W. (2014) Sentiment-based commercial real estate forecasting with Google search volume data, Journal of Property Investment & Finance. 32, (6), 540-569.Journal of Property Investment & Finance. Du,D.Li, A.Zhang, L. (2014) Survey on the applications of big data in Chinese real estate enterprise, Procedia Computer Science. 30(7), p:24-33. Procedia Computer Science. Funke, M.Paetz, M. (2013) Housing prices and the business cycle: An empirical application to Hong Kong, Journal of Housing Economics. 22(1), p:62-76. Journal of Housing Economics. (2010) On the Use of spline smoothing in estimating hedonic housing price models: Empirical evidence using Hong Kong data, Real Estate Economics. 32(3), –.p:487-507. Real Estate Economics. Hendrasto, F.Utama, B.I. (2019) Incongruence in brand names and its effect on consumer preference, Market-Tržište. 31(1), p:83-96. Market-Tržište. Wang, H., & Richman, D. (2019) Housing price and population growthacross China: The roleof housing supply, International Regional Science Review. 2019, –.p:1-26. International Regional Science Review. Hromada, E. (2016) Real estate valuation using data mining software, Procedia Engineering. 164(5), –.p:284-291. Procedia Engineering. Jayantha, W.M.Lam, S.O. (2015) Capitalization of secondary school education into property values: Acase study in Hong Kong, Habitat International. 50, p:12-22. Habitat International. Li, j., & Huang, H. (2020) Effects of transit-oriented development (TOD) on housing prices: Acase study in Wuhan, China. Research in Transportation Economics, 80, 100813. Dai, J., Lv, P., Ma, Z., Bi, J., & Wen, T. (2020) Environmental risk and housing price: An empirical study of Nanjing, China Journal of Cleaner Production,252, 119828. Zhang, J., Li, H., Lin, J., Zheng, W., Li, H., Chen, Z. (2020) Meta-analysis of the relationship between high quality basic education resources and housing prices. Land Use Policy, 99, 104843. Ayuso, J., & Restoy, F. (2006) House prices and rents: An equilibrium asset pricing approach. Journal of Empirical Finance, 13, 371-388. Zhang, K., Chen, Y., & Wu, L. (2019) Hindawi Complexity. . Grey spectrum analysis of air quality index and housing price in Handan., 2019,.p:8710138. Hindawi Complexity. Leuthesser, L., Kohli, C.S., & Harich, K.R. (1995) Brand equity: The halo effect measure, European Journal of Marketing, 29(4), 57-66. Chasco,C. , Le Gallo, J. (2013) Economic Geography. . The impact of objective and subjective measures of air quality and noise on house prices: Amultilevel approach for downtown Madrid., 89(2), -148.p:127. Economic Geography. Li, R.Y.M. & Chau, K.W. (2016) Econometric Analyses of International Housing Markets. NewYork:Routlege. Econometric Analyses of International Housing Markets. Li, R.Y.M.Li, H.C.Y. (2018) Sustainability. 10(2), p:341-360. Sustainability. Li., R.Y.M., Cheng, K.Y., & Shoaib, M. (2018) Walled buildings, sustainability, and housing prices: An artificial neural network approach. Sustainability, 10(1298), 1-17. Zhou, L. (2018) A review of studies on influencing factors of foreign house prices, Technical Economy. 37(12), –.p:111-119. Technical Economy. Zhang, L., Zhou, J., & Hui, E.C. (2020) Which types of shopping malls affect housing prices? From the perspective of spatial accessibility. Habitat International, 96, 102118. Melnyk, V., Klein, K., & Völckner, F. (2012) The double-edged sword of foreign brand names for companies, Journal of Marketing. 76(6), –.p:21-37. Journal of Marketing. Tang, M., & Coulson, N. E. (2016) The impact of China’s housing provident fund on homeowner-ship, housing consumption and housing investment. Regional Science and Urban Economics, 11, 1–41,. Moallemi, M., & Melser, D. (2019) The impact of immigration on housing prices in Australia. Moallemi and Melser, 5, 1-14,. Nicholls, S. (2019) Impacts of environmental disturbances on housing prices: Areview of the hedonic pricing literature, Journal of Environmental Management. 246, –.p:1-10. Journal of Environmental Management. Ossokina, I.V., & Verweij, G. (2015) Urban traf?c externalities: Quasi-experimental evidence from housing prices, Regional Science and Urban Economics. 55, . Urban traffic externalities: Quasi-experimental evidence from housing prices. , –.p:1-13. Regional Science and Urban Economics. Pace, R.K., Barry, R., Gilley, O.W., Sirmans, C.F. (2000) Amethod for spatial-temporal forecasting with an application to real estate prices, International Journal of Forecasting. 16(2), –.p:229-246. International Journal of Forecasting. Xiong, P. (2019) Research on influencing factors of real estate price-based on the analysis of supply and demand framework. Technology Style, 235(26), 263,. Ohno, S. & Shimizu, J. (2015) Journal of Asian Economics. Do exchange rate arrangements and capital controls influence international capital flows and housing prices in Asia. , 39, –.p:1-18. Journal of Asian Economics. Peng, S.X. (2020) National Circulation Economy. . Factor analysis method to study the influencing factors of housing prices in Zhengzhou. , 3, –.p:135-136. National Circulation Economy. Li, S.W., Ye, X.Y., Lee, J., Gong, J.F. & Qin, C.L. (2017) Applied Spatial Analysis and Policy. (3), Spatiotemporal analysis of housing prices in China: A big data perspective. , 10, –433.p:421. Applied Spatial Analysis and Policy. Shi, S., Jou, J.B., & Tripe, D. (2014) Can interest rates really control house prices? Effectiveness and implications for macroprudential policy, Journal of Banking & Finance. 47, –.p:15-28. Journal of Banking & Finance. Yang, T., Li, W., & Zhang, S. (2020) Stock index prediction based on sentiment analysis and SVM_LSTM model, Software Guide. 19(8),14-18.Software Guide. Upadhyaya, K.P., Dhakal, D., & Mixon, F.G.J. (2017) Applied Economics. 49(59), Housing prices, stock prices and the US economy. , –.p:5916-5922. Applied Economics. Wu, H. , Jiao, H. , Yu, Y. , Li, Z. , Peng, Z. , Liu, L. , Zeng, Z. (2018) Sustainability. 10(5), Influence factors and regression model of urban housing prices based on internet open access data. ,1676.Sustainability. Wu, J., & Deng, Y. (2015) The Journal of Real Estate Finance and Economics. 50(3), Intercity information diffusion and price discovery in housing markets: Evidence from google searches. , –.p:289-306. The Journal of Real Estate Finance and Economics. Fu, X., Jia, T., Zhang, X., Li, S., & Zhang, Y. (2019) PLOS ONE. 14(5), Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning. , –.p:1-18. PLOS ONE. Wan, Y., Liu, J., Tang, Y., & Sriboonchitta, S. (2020) Housing risk and its influence on house price: An expected utility approach, Mathematical Problems in Engineering. 39433676,.Mathematical Problems in Engineering. Gao, Y. (2020) Beijing University of Civil Engineering and Architecture. Research on prediction method of building energy consumption based on machine learning. , 6, 39-48.Beijing University of Civil Engineering and Architecture. Yue, X., Hui, E.C.M., & Wen, H. (2019) Habitat International. 87, Effects of floor level and landscape proximity on housing price: A hedonic analysis in Hangzhou, China. , –.p:11-26. Habitat International. Zhang, H., Li, L., Hui, E.C.M., & Li, V. (2016) Comparisons of the relations between housing prices and the macroeconomy in China’s first-, second- and third-tier cities, Habitat International. 57, –.p:24-42. Habitat International. Zhang, K. (2019) Modern Marketing (Information Version). Research on Influencing factors and development trends of real estate prices in China. , 6,.p:63. Modern Marketing (Information Version). Yang, Z. & Pan, Y. (2020) Human capital, housing prices, and regional economic development: Will “vying for talent” through policy succeed?, Cities. p:1-13. Cities. Jayantha, W.M.Oladinrin, O.T. (2019) An analysis of factors affecting homeownership: Asurvey of Hong Kong households, Journal of Housing and the Built Environment. 2019(1), p:1-18. Journal of Housing and the Built Environment.