Locale-varying relationships between tourism development and retail property prices in a shopping destination
Abstract
Existing literature has inadequately examined the nexus between tourism and property prices. Additionally, it mainly focuses on hotels and housing, thereby overlooking other property categories (e.g., retail properties). The relationship between tourism development and retail property prices in shopping destinations (e.g., Hong Kong and Singapore) may hinge on the locale. More specifically, the relationship may be different in the tourist precinct or popular tourism shopping area (PTSA) and the unpopular tourism shopping area (UTSA). This study examines locale-varying relationships between tourism development (measured by tourist volume and tourism expenditure) and retail property prices from 2002Q1 to 2014Q4 in Hong Kong using standard and error-correction-model-based (ECM-based) Granger causality tests. Results of standard Granger causality tests indicate that tourism development Granger causes the increase in retail property prices in the PTSA but not in the UTSA. Moreover, results of ECM-based Granger causality tests further verify the robustness and plausibility of the tourism-led growth (in retail property prices) hypothesis in the PTSA. In other words, we find that tourism development measures can be used to better predict changes in retail property prices in the PTSA than simply referring to the price history.
Keyword : tourism development, retail property price, tourism shopping, tourist shopper, Granger causality test, Hong Kong
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Bailey, M. J., Muth, R. F., & Nourse, H. O. (1963). A regression method for real estate price index construction. Journal of the American Statistical Association, 58(304), 933−942.
https://doi.org/10.1080/01621459.1963.10480679
Biagi, B., Brandano, M. G., & Lambiri, D. (2015). Does tourism affect house prices? Evidence from Italy. Growth and Change, 46(3), 501−528. https://doi.org/10.1111/grow.12094
Biagi, B., Brandano, M. G., & Caudill, S. B. (2016). Tourism and house prices in Italy: a latent class approach. Tourism Economics, 22(5), 964−978. https://doi.org/10.5367/te.2015.0470
Biagi, B., & Faggian, A. (2004). The effect of tourism on the house market: the case of Sardinia. Paper presented at the 44th Congress of the European Regional Science Association: “Regions and Fiscal Federalism”.
Biagi, B., Lambiri, D., & Faggian, A. (2012). The effect of tourism on the housing market. In M. Uysal, R. Perdue, & M. J. Sirgy (Eds.), Handbook of tourism and quality-of-life research: enhancing the lives of tourists and residents of host communities (pp. 635−652). Springer Science & Business Media.
https://doi.org/10.1007/978-94-007-2288-0_36
Bokhari, S., & Geltner, D. (2012). Estimating real estate price movements for high frequency tradable indexes in a scarce data environment. The Journal of Real Estate Finance and Economics, 45(2), 522−543. https://doi.org/10.1007/s11146-010-9261-4
Bourassa, S. C., Hoesli, M., & Sun, J. (2006). A simple alternative house price index method. Journal of Housing Economics, 15(1), 80−97. https://doi.org/10.1016/j.jhe.2006.03.001
Bourassa, S. C., Cantoni, E., & Hoesli, M. (2013). Robust repeat sales indexes. Real Estate Economics, 41(3), 517–541. https://doi.org/10.1111/reec.12013
Case, B., & Quigley, J. M. (1991). The dynamics of real estate prices. The Review of Economics and Statistics, 73(1), 50−58. https://doi.org/10.2307/2109686
Case, K. E., & Shiller, R. J. (1987). Prices of single family homes since 1970: new indexes for four cities (Working paper No. 2393). National Bureau of Economic Research, Cambridge, Mass., USA. https://doi.org/10.3386/w2393
Case, K. E., & Shiller, R. J. (1989). The efficiency of the market for single-family homes. The American Economic Review, 79(1), 125−137.
Chau, K. W., Wong, S. K., Liang, J., McCluskey, W., & Cunningham, C. (2018). Transaction-based indices. In B. D. MacGregor, R. Schulz, & R. K. Green (Eds.), Routledge companion to real estate investment. Routledge. https://doi.org/10.1201/9781315775579-10
Chau, K. W., Leung, A. Y. T., Yiu, C. Y., & Wong, S. K. (2003). Estimating the value enhancement effects of refurbishment. Facilities, 21(1/2), 13−19. https://doi.org/10.1108/02632770310460504
Chau, K. W., Wong, S. K., & Yiu, C. Y. (2004). The value of the provision of a balcony in apartments in Hong Kong. Property Management, 22(3), 250−264.
https://doi.org/10.1108/02637470410545020
Chau, K. W., Wong, S. K., Yiu, C. Y., & Leung, H. F. (2005a). Real estate price indices in Hong Kong. Journal of Real Estate Literature, 13(3), 337−356.
Chau, K. W., Wong, S. K., & Yiu, C. Y. (2005b). Adjusting for non-linear age effects in the repeat sales index. The Journal of Real Estate Finance and Economics, 31(2), 137−153.
https://doi.org/10.1007/s11146-005-1369-6
Chen, C. F., & Rothschild, R. (2010). An application of hedonic pricing analysis to the case of hotel rooms in Taipei. Tourism Economics, 16(3), 685−694. https://doi.org/10.5367/000000010792278310
Choi, M., Law, R., & Heo, C. Y. (2016). Shopping destinations and trust–tourist attitudes: scale development and validation. Tourism Management, 54, 490−501.
https://doi.org/10.1016/j.tourman.2016.01.005
Cocola-Gant, A. (2018). Tourism gentrification. In L. Lees, & M. Phillips (Eds.), Handbook of gentrification studies. Edward Elgar Publishing. https://doi.org/10.4337/9781785361746.00028
Engle, R. F., & Granger, C. W. (1987). Co-integration and error correction: representation, estimation, and testing. Econometrica: Journal of the Econometric Society, 55(2), 251−276. https://doi.org/10.2307/1913236
Englund, P., Quigley, J. M., & Redfearn, C. L. (1998). Improved price indexes for real estate: measuring the course of Swedish housing prices. Journal of Urban Economics, 44(2), 171−196. https://doi.org/10.1006/juec.1997.2062
Espinet, J. M., Saez, M., Coenders, G., & Fluvià, M. (2003). Effect on prices of the attributes of holiday hotels: a hedonic prices approach. Tourism Economics, 9(2), 165−177. https://doi.org/10.5367/000000003101298330
Fereidouni, H. G. (2013). Determinants of foreign investments in residential properties: evidence from Malaysian states. International Journal of Strategic Property Management, 17(3), 317−322. https://doi.org/10.3846/1648715X.2013.822436
Gant, A. C. (2015). Tourism and commercial gentrification. In Proceedings of the RC21 International Conference on “The Ideal City: Between Myth and Reality, Representations, Policies, Contradictions and Challenges for Tomorrow’s Urban Life”, Urbino, Italy (pp. 27−29).
Geltner, D., & Pollakowski, H. (2007). A set of indexes for trading commercial real estate based on the real capital analytics transaction prices database. MIT Center for Real Estate.
Goetzmann, W. N. (1992). The accuracy of real estate indices: repeat sale estimators. The Journal of Real Estate Finance and Economics, 5(1), 5−53. https://doi.org/10.1007/BF00153997
Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424−438.
https://doi.org/10.2307/1912791
Gu, X., Li, G., Chang, X., & Guo, H. (2017). Casino tourism, economic inequality, and housing bubbles. Tourism Management, 62, 253−263. https://doi.org/10.1016/j.tourman.2017.04.006
Guo, X., Zheng, S., Geltner, D., & Liu, H. (2014). A new approach for constructing home price indices: the pseudo repeat sales model and its application in China. Journal of Housing Economics, 25, 20−38. https://doi.org/10.1016/j.jhe.2014.01.005
Gupta, P., & Singh, A. (2016). Causal nexus between foreign direct investment and economic growth: a study of BRICS nations using VECM and Granger causality test. Journal of Advances in Management Research, 13(2), 179−202. https://doi.org/10.1108/JAMR-04-2015-0028
Hong Kong Tourism Board (various issues). (n.d.). A statistical review of Hong Kong tourism.
Hui, E. C. M., Zhong, J. W., & Yu, K. H. (2012). The impact of landscape views and storey levels on property prices. Landscape and Urban Planning, 105(1−2), 86−93.
https://doi.org/10.1016/j.landurbplan.2011.12.002
Jiang, B., Liang, S., & Yuan, W. (2015a). Observational evidence for impacts of vegetation change on local surface climate over northern China using the Granger causality test. Journal of Geophysical Research: Biogeosciences, 120(1), 1−12. https://doi.org/10.1002/2014JG002741
Jiang, L., Phillips, P. C., & Yu, J. (2015b). New methodology for constructing real estate price indices applied to the Singapore residential market. Journal of Banking & Finance, 61, S121− S131. https://doi.org/10.1016/j.jbankfin.2015.08.026
Kattiyapornpong, U., & Miller, K. E. (2012). Propensity to shop: identifying who shops til they drop. Journal of Travel & Tourism Marketing, 29(6), 552−565. https://doi.org/10.1080/10548408.2012.703027
Kavetsos, G. (2012). The impact of the London Olympics announcement on property prices. Urban Studies, 49(7), 1453−1470. https://doi.org/10.1177/0042098011415436
Kemperman, A. D., Borgers, A. W., & Timmermans, H. J. (2009). Tourist shopping behavior in a historic downtown area. Tourism Management, 30(2), 208−218. https://doi.org/10.1016/j.tourman.2008.06.002
Kim, H. J., & Chen, M. H. (2006). Tourism expansion and economic development: the case of Taiwan. Tourism Management, 27(5), 925−933. https://doi.org/10.1016/j.tourman.2005.05.011
Kontokosta, C. (2012). The price of victory: the impact of the Olympic Games on residential real estate markets. Urban Studies, 49(5), 961−978. https://doi.org/10.1177/0042098011411952
Law, R., & Au, N. (2000). Relationship modeling in tourism shopping: a decision rules induction approach. Tourism Management, 21(3), 241−249. https://doi.org/10.1016/S0261-5177(99)00056-4
Lee, S. K., & Jang, S. (2012). Premium or discount in hotel room rates? The dual effects of a central downtown location. Cornell Hospitality Quarterly, 53(2), 165−173. https://doi.org/10.1177/1938965512441056
Li, Y., Yang, L., Shen, H., & Wu, Z. (2019). Modeling intra-destination travel behavior of tourists through spatio-temporal analysis. Journal of Destination Marketing & Management, 11, 260−269. https://doi.org/10.1016/j.jdmm.2018.05.002
Liu, Y. (2014). The impact of tourist shoppers on the pricing of street level retail shops. HKU Theses Online (HKUTO).
Liu, Y., Yang, L., & Chau, K. W. (2020). Impacts of tourism demand on retail property prices in a shopping destination. Sustainability, 12(4), 1361. https://doi.org/10.3390/su12041361
Lu, Q., & Yang, Y. (2015). A longitudinal study of the impact of the Sydney Olympics on real estate markets. International Journal of Event and Festival Management, 6(1), 4−17. https://doi.org/10.1108/IJEFM-02-2014-0007
McMillen, D. P. (2012). Repeat sales as a matching estimator. Real Estate Economics, 40(4), 745−773.
https://doi.org/10.1111/j.1540-6229.2012.00343.x
Meng, F., & Xu, Y. (2012). Tourism shopping behavior: planned, impulsive, or experiential? International Journal of Culture, Tourism and Hospitality Research, 6(3), 250−265.
https://doi.org/10.1108/17506181211246401
Moscardo, G. (2004). Shopping as a destination attraction: an empirical examination of the role of shopping in tourists’ destination choice and experience. Journal of Vacation Marketing, 10(4), 294−307.
https://doi.org/10.1177/135676670401000402
Murphy, L., Moscardo, G., Benckendorff, P., & Pearce, P. (2011). Evaluating tourist satisfaction with the retail experience in a typical tourist shopping village. Journal of Retailing and Consumer Services, 18(4), 302−310. https://doi.org/10.1016/j.jretconser.2011.02.004
Muzindutsi, P. F., & Surujlal, J. (2018). Housing property market and tourism accommodation in South Africa: time series analysis. International Journal of Economic Policy in Emerging Economies, 11(3), 270−281. https://doi.org/10.1504/IJEPEE.2018.093953
Nicholls, S., & Crompton, J. L. (2007). The impact of a golf course on residential property values. Journal of Sport Management, 21(4), 555−570. https://doi.org/10.1123/jsm.21.4.555
Oh, C. O. (2005). The contribution of tourism development to economic growth in the Korean economy. Tourism Management, 26(1), 39−44. https://doi.org/10.1016/j.tourman.2003.09.014
Pacheco, R. R., & Fernandes, E. (2017). International air passenger traffic, trade openness and exchange rate in Brazil: a Granger causality test. Transportation Research Part A: Policy and Practice, 101, 22−29.
https://doi.org/10.1016/j.tra.2017.04.026
Pantano, E., & Dennis, C. (2019). Store buildings as tourist attractions: mining retail meaning of store building pictures through a machine learning approach. Journal of Retailing and Consumer Services, 51, 304−310.
https://doi.org/10.1016/j.jretconser.2019.06.018
Roudi, S., Arasli, H., & Akadiri, S. S. (2019). New insights into an old issue–examining the influence of tourism on economic growth: evidence from selected small island developing states. Current Issues in Tourism, 22(11), 1280−1300. https://doi.org/10.1080/13683500.2018.1431207
Quigley, J. M. (1995). A simple hybrid model for estimating real estate price indexes. Journal of Housing Economics, 4(1), 1−12. https://doi.org/10.1006/jhec.1995.1001
Rosen, S. (1974). Hedonic prices and implicit markets: product differentiation in pure competition. Journal of Political Economy, 82(1), 34−55. https://doi.org/10.1086/260169
Schäfer, P., & Hirsch, J. (2017). Do urban tourism hotspots affect Berlin housing rents? International Journal of Housing Markets and Analysis, 10(2), 231−255.
https://doi.org/10.1108/IJHMA-05-2016-0031
Schamel, G. (2012). Weekend vs. midweek stays: modelling hotel room rates in a small market. International Journal of Hospitality Management, 31(4), 1113−1118. https://doi.org/10.1016/j.ijhm.2012.01.008
Song, H., Li, G., Witt, S. F., & Fei, B. (2010). Tourism demand modelling and forecasting: how should demand be measured? Tourism Economics, 16(1), 63−81.
https://doi.org/10.5367/000000010790872213
Transport Department. (2014). Travel Characteristics Survey 2011 Final Report. Hong Kong SAR Government, Hong Kong.
Turner, L. W., & Reisinger, Y. (2001). Shopping satisfaction for domestic tourists. Journal of Retailing and Consumer Services, 8(1), 15−27. https://doi.org/10.1016/S0969-6989(00)00005-9
UNWTO. (2018). UNWTO tourism highlights: 2018 edition.
https://www.e-unwto.org/doi/pdf/10.18111/9789284419876
Wang, D., & Nicolau, J. L. (2017). Price determinants of sharing economy based accommodation rental: a study of listings from 33 cities on Airbnb.com. International Journal of Hospitality Management, 62, 120−131.
https://doi.org/10.1016/j.ijhm.2016.12.007
White, P. J., & Mulligan, G. F. (2002). Hedonic estimates of lodging rates in the four corners region. The Professional Geographer, 54(4), 533−543. https://doi.org/10.1111/0033-0124.00348
Wu, T. P., & Wu, H. C. (2019). The link between tourism activities and economic growth: evidence from China’s provinces. Tourism and Hospitality Research, 19(1), 3−14. https://doi.org/10.1177/1467358416683769
Yang, L., Zhou, J., Shyr, O. F., & Huo, D. (2019a). Does bus accessibility affect property prices? Cities, 84, 56−65.
https://doi.org/10.1016/j.cities.2018.07.005
Yang, L., Chau, K. W., & Wang, X. (2019b). Are low-end housing purchasers more willing to pay for access to public services? Evidence from China. Research in Transportation Economics, 76, 100734. https://doi.org/10.1016/j.retrec.2019.06.001
Yang, L., Chau, K. W., Szeto, W. Y., Cui, X., & Wang, X. (2020a). Accessibility to transit, by transit, and property prices: spatially varying relationships. Transportation Research Part D: Transport and Environment, 85, 102387.
https://doi.org/10.1016/j.trd.2020.102387
Yang, L., Chu, X., Gou, Z., Yang, H., Lu, Y., & Huang, W. (2020b). Accessibility and proximity effects of bus rapid transit on housing prices: heterogeneity across price quantiles and space. Journal of Transport Geography, 88, 102850.
https://doi.org/10.1016/j.jtrangeo.2020.102850
Zaidan, E. A. (2016). Tourism shopping and new urban entertainment: a case study of Dubai. Journal of Vacation Marketing, 22(1), 29−41. https://doi.org/10.1177/1356766715589426
Zhang, H., Zhang, J., Lu, S., Cheng, S., & Zhang, J. (2011). Modeling hotel room price with geographically weighted regression. International Journal of Hospitality Management, 30(4), 1036−1043. https://doi.org/10.1016/j.ijhm.2011.03.010