A REVIEW OF SPATIAL ECONOMETRICS IN EXPLICIT LOCATION MODELLING OF COMMERCIAL PROPERTY MARKET
DOI:
https://doi.org/10.21837/pm.v19i17.1020Keywords:
Location, Spatial Econometrics, Commercial Property Market, Hedonic Pricing Modelling, Spatial dependenceAbstract
‘Location, location, location’ is a real property parlance mostly used to describe the influence of location in the property market. Location is mainly considered as the most significant influencer of commercial property prices. Location is modelled traditionally using hedonic pricing model by either proxy location dummies or distances relative to other neighbourhood features. This was shown to be inadequate due to spatial autocorrelation and heterogeneity inherent in spatial data, which jeopardises the estimates' consistency. Consequently, spatial econometrics is used to explicitly model location into property pricing by controlling spatial effects of autocorrelation and heterogeneity. Housing studies dominate the use of this approach with limited application in the commercial property market. This paper reviewed spatial econometrics and found that the commercial property market exhibits significant spatial dependence and heterogeneity. Accounting for such effects improves model accuracy significantly. It, therefore, recommends increase use of spatial econometrics in commercial property market modelling.Downloads
References
Abdullahi, A., Usman, H., & Ibrahim, I. (2018). Determining house price for mass appraisal using multiple regression analysis modeling in Kaduna North, Nigeria. ATBU Journal of Environmental Technology, 11(1), 26-40.
Aliyu, B. A., Sani, H., Usman, H., & Muhammad, H. (2018). Ranking the Causative Factors of Mortgage Valuation Inaccuracy in Kaduna Metroplois. Real Estate Management and Valuation, 26(3). https://doi.org/10.2478/remav-2018-0026
Alonso, W. (1964). Location and Land Use. Toward a General Theory of Land Rent. Cambridge: Harward University Press.https://doi.org/http://dx.doi.org/10.4159/harvard.9780674730854
Anselin, L. (2010). Thirty years of spatial econometrics. Papers in Regional Science, 89(1). https://doi.org/10.1111/j.1435-5957.2010.00279.x
Bawuro, F. A., Shamsuddin, A., Wahab, E., & Usman, H. (2019). Mediating role of meaningful work in the relationship between intrinsic motivation and innovative work behaviour. International Journal of Scientific and Technology Research, 8(9), 2076-2084.
Beracha, E., Hardin III, W. G., & Skiba, H. M. (2018). Real Estate Market Segmentation: Hotels as Exemplar. Real Estate Finance Economics, 56, 252-273. https://doi.org/10.1007/s11146-017-9598-z
Bhattacharya, N., Lamond, J., Proverbs, D., & Hammond, F. (2013). Development of conceptual framework for understanding vulnerability of commercial property values towards flooding. International Journal of Disaster Resilience in the Built Environment, 4(3), 334-351.
Bujanda, A., & Fullerton Jr., T. M. (2018). Infrastructure Impacts on Commercial Property Values Across El Paso in 2013. Border Region Modeling Project, 55.
Can, A. (1992). Specification and estimation of hedonic housing price models. Regional Science and Urban Economics, 22, 453-474.
Chegut, A. M., Eichholtz, P. M. A., & Rodrigues, P. J. M. (2015). Spatial Dependence in International Office Markets. Journal of Real Estate Finance and Economics, 51(2), 317-350. https://doi.org/10.1007/s11146-014-9484-x
Chegut, A. M., Eichholtz, P., & Rodrigues, P. (2013). Transaction Based London Commercial Property Indices. The Journal of Real Estate Finance and Economics, 47(4), 588-616, 47(4), 588-616.
Chiang, S. H. (2016). Interaction among real estate properties in China using three submarket panels. Habitat International, 53, 243-253.
https://doi.org/10.1016/j.habitatint.2015.11.038 Chiarazzo, V., dell’Olio, L., Ibeas, A., & Ottomanelli, M. (2014). Modeling the Effects of Environmental Impacts and Accessibility on Real Estate Prices in Industrial Cities. Procedia - Social and Behavioral Sciences, 111(February), 460-469. https://doi.org/10.1016/j.sbspro.2014.01.079
Corgel, J. B., Liu, C. H., & White, R. M. (2015). Determinants of Hotel Property Prices. Retrieved May 17, 2019, from http://scholarship.sha.cornell.edu/articles/1012
Droj, L., & Droj, G. (2015). Usage of location analysis software in the evaluation of commercial real estate properties. In Procedia Economics and Finance 32, 826-832. https://doi.org/10.1016/S2212-5671(15)01525-7
Dziauddin, M. F., Powe, N. A., & Alvanides, S. (2014). Estimating the Effects of Light Rail Transit (LRT) System on Residential Property Values Using Geographically Weighted Regression ( GWR ). Applied Spatial Analysis. https://doi.org/10.1007/s12061-014-9117-z
Hardin III, W. G., Jiang, X., & Wu, Z. (2017). Inflation Illusion, Expertise and Commercial Real Estate. Journal of Real Estate Finance and Economics, 55(3), 345-369.
Hayunga, D. K., & Pace, R. K. (2010). Spatial statistics applied to commercial real estate. Journal of Real Estate Finance and Economics, 41(2), 103-125. https://doi.org/10.1007/s11146-009-9190-2
Ibeas, A., Cordera, R., Dell’Olio, L., Coppola, P., & Dominguez, A. (2012). Modelling transport and real-estate values interactions in urban systems. Journal of Transport Geography, 24, 370-382. https://doi.org/10.1016/jjtrangeo.2012.04.012
Jeong, S., & Kim, J. (2011). A Study of Retail Property Prices in Seoul. In ERES Conference 2011.
Ke, Q., Sieracki, K., & White, M. (2017). A Spatial Analysis of the Central London Office Market. In 24th Annual European Real Estate Society Conference. (pp. 1 -16). Netherlands.
Kim, C. W., Phipps, T. T., & Anselin, L. (2003). Measuring the benefits of air quality improvement: a spatial hedonic approach. Journal of Environmental Economics and Management 45, 45, 24-39.
Kim, J., & Zhang, M. (2005). Determining transit’s impact on Seoul commercial land values: an application of spatial econometrics. International Real Estate Review, 8(1), 1-26.
Li, W., Joh, K., Lee, C., Kim, J., Park, H., & Woo, A. (2015). Assessing Benefits of Neighborhood Walkability to Single-Family Property Values : A Spatial Hedonic Study in Austin , Texas. Journal of Planning Education and Research. https://doi.org/10.1177/0739456X15591055
Li, Y., He, L., Xu, W., Wang, H., & He, Z. (2013). Using GIS and hedonic in the modelling of spatial variation of housing price in Xiamen city. International Review for Spatial Planning and Sustainable Development, 1(4), 29-42. https://doi.org/10.14246/irspsd. 1.4_29
Liang, J., Reed, R., & Crabb, T. (2017). The contribution of spatial dependency to office building price index: A melbourne case study. Journal of Property Investment & Finance.
Meen, G. (2016). Spatial housing economics: A survey. Urban Studies, 53(10), 1987-2003. https://doi.org/10.1177/0042098016642962
Montero-Lorenzo, J.-M., Larraz-Iribas, B., & Paez, A. (2009). Estimating commercial property prices: an application of cokriging with housing prices as ancillary information. J Geogr Syst, 11, 407-425. https://doi.org/10.1007/s10109-009-0095-7
Muth, R. F. (1969). Cities and Housing: The Spatial Pattern of Urban Residential Land Use. Chicago & London: The University of Chicago Press.
Nappi-Choulet, I., & Maury, T.-P. (2009). A Spatiotemporal Autoregressive Price Index for the Paris Office Property Market. Real Estate Economics, 37(2), 305-340.
Noh, Y. (2019). Landscape and Urban Planning Does converting abandoned railways to greenways impact neighboring housing prices ? Landscape and Urban Planning, 183(September 2017), 157-166. https://doi.org/10.1016/j.landurbplan.2018.11.002
Orford, S. (2017). Valuing the Built Environment: GIS and House Price Analysis. New York: Routledge Taylor & Francis group.
Osland, L. (2010). An Application of Spatial Econometrics in Relation to Hedonic House Price. JRER, 32(3).
Ozyurt, S. (2013). Does the spatially augmented transaction-based commercial property price indicator perform better than the standard one ? Evidence from micro data (Graduate Programme Research Paper 2012-2013 No. Graduate Programme Research Paper 2012-2013).
Ozyurt, S. (2014). Spatial dependence in commercial property prices: micro evidence from the Netherlands (ECB Working Paper No. 1627). Frankfurt.
Pace, R. K., Barry, R., Gilley, O. W., & Sirmans, C. F. (2000). A method for spatial -temporal forecasting with an application to real estate prices. International Journal of Forecasting, 16(2), 229-246.
Pace, R. K., Barry, R., & Sirmans, C. F. (1998). Spatial Statistics and Real Estate. Journal of Real Estate Finance and Economics, 17(1), 5-13.
Raposo, I. G., & Evangelista, R. (2017). A transactions-based commercial property price index for Portugal. Financial Stability Papers, 3(March), 1-25.
Seo, K., Salon, D., Kuby, M., & Golub, A. (2018). Hedonic modeling of commercial property values: distance decay from the links and nodes of rail and highway infrastructure Hedonic modeling of commercial property values : distance decay from the links and nodes of rail. Transportation, (March). https://doi.org/10.1007/s11116-018-9861-z
Seo, K., Salon, D., Kuby, M., & Golub, A. (2019). Hedonic modeling of commercial property values: distance decay from the links and nodes of rail and highway infrastructure. Transportation, 46(3), 859-882. https://doi.org/10.1007/s11116-018-9861-z
Tobler, W. R. (1970). A Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography, 46(sup1), 234-240. https://doi.org/10.1126/science.ns-13.332.462
Tu, Y., Yu, S., & Sun, H. (2004a). Transaction-Based Office Price Indexes: A Spatiotemporal Modeling Approach. Real Estate Economics, 32(2), 297-328.
Tu, Y., Yu, S., & Sun, H. (2004b). Transaction-based office price indexes: a spatiotemporal modeling approach. Real Estate Economics, 32(2), 297-328.
Usman, H., & Lizam, M. (2020). Empirical Modelling of Commercial Property Market Location Submarket using Hedonic Price Model in Malaysia. In Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management. Detroit, Michigan, USA, August 10 - 14, 2020.
Usman, H., Lizam, M., & Adekunle, M. U. (2020). Property price modelling, market segmentation and submarket classifications: A review. Real Estate Management and Valuation, 28(3), 24-35.
Usman, H., Lizam, M., & Burhan, B. (2020a). A Review of Property Attributes Influence in Hedonic Pricing Model. In Proceedings of the 2nd African International Conference on Industrial Engineering and Operations Management (pp. 27952805). Harare.
Usman, H., Lizam, M., & Burhan, B. (2020b). Review of Issues in the Conventional Hedonic Property Pricing Model. In Proceedings of the 2nd African International Conference on Industrial Engineering and Operations Management (pp. 28062816). Harare.
Usman, H., Lizam, M., & Burhan, B. (2021). A priori spatial segmentation of commercial property market using hedonic price modelling. Real Estate Management and Valuation, 29(2), 16-28.
Wiley, J. A. (2017). Leverage, liquidity and information in commercial property prices. Journal of Property Research, 34(2), 77-107. https://doi.org/10.1080/09599916.2017.1320683
Wyatt, P. J. (2010). The development of a GIS- based property information system for real estate valuation. International Journal of Geographical Information Science, 11(5), 37-41. https://doi.org/10.1080/136588197242248
Xu, T., Zhang, M., & Aditjandra, P. T. (2016). The impact of urban rail transit on commercial property value: New evidence from Wuhan , China. Trasportation Research Part A, 91, 223-235.
Yang, L., Wang, B., Zhou, J., & Wang, X. (2018). Transportation Research Part D Walking accessibility and property prices. Transportation Research Part D, 62, 551-562. https://doi.org/10.1016Zj.trd.2018.04.001
Yu, H., Pang, H., & Zhang, M. (2017). Value-added effects of transit-oriented development: The impact of urban rail on commercial property values with consideration of spatial heterogeneity : Rail transit and commercial ... Value-added effects of transit-oriented development: The impact of. Papers in Regional Science, 1-23. https://doi.org/10.1111/pirs. 12304
Yu, H., Zhang, M., & Pang, H. (2017). Evaluation of transit proximity effects on residential land prices: an empirical study in Austin , Texas. Transportation Planning and Technology, (8), 1-14. https://doi.org/10.1080/03081060.2017.1355880
Zhang, R., Du, Q., Geng, J., Liu, B., & Huang, Y. (2015a). An improved spatial error model for the mass appraisal of commercial real estate based on spatial analysis : Shenzhen as a case study. Habitat International, 46, 196-205. https://doi.org/10.1016/j.habitatint.2014.12.001
Zhang, R., Du, Q., Geng, J., Liu, B., & Huang, Y. (2015b). An improved spatial error model for the mass appraisal of commercial real estate based on spatial analysis : Shenzhen as a case study, 46, 196-205.
Zhang, X., Zheng, Y., Sun, L., & Dai, Q. (2019). Urban Structure , Subway Systemand Housing Price: Evidence from Beijing and Hangzhou , China, 11-13. https://doi.org/10.3390/su11030669.
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