Doan Quang Cuong, Tran Quoc Binh

Main Article Content

Abstract

Land price is essential for land transactions, development of land policy,... Therefore, if the determination of land values is accurate and objective, it will greatly contributes to sustainable, economical and effective use of land resources. In this study, for identifying factors affecting land prices, we had interviewed 100 people, including land users, officials, real estate agents, land management experts. Using exploratory factor analysis, we identified five groups of 16 factors affecting land prices in Quoc Oai Town: location, policy, region, individuality, and environment, where location is the most influential factor group in land prices in Quoc Oai Town. Next, analytic hierarchy process is used to determine weight of each factor and calculate their influence index. The research results have proved the usefulness of combining EFA and AHP in identifying and quantifying factors influencing on land prices for land valuation.

Keywords: exploratory factor analysis, analytic hierarchy process, land price, Quoc Oai town.

References

[1] Nzau, Modelling of influecen of urban sub-centres on spatial and temporal urban land value pattern, Case study of Nairobi, Kenya, Enschede, The Netherlands: International Institute for Aerial Survey and Earth Sciences (ITC), 2003.
[2] D.Demetris, The assessment of land valuation in land consolidation schemes: The need for a new land valuation framework, Land Use Policy 54 (2016) 487-498. https://doi.org/10.1016/ j.landusepol. 2016.03.008.
[3] G.Noelia, M.Gámez, E.Alfaro, ANN+ GIS: An automated system for property valuation, Neurocomputing 71 (2008) 733-742. https:// doi.org/10.1016/j.neucom.2007.07.031.
[4] X.Zhao, Q.Li, Integrating the empirical models of benchmark land price and GIS technology for sustainability analysis of urban residential development, Habitat International 44 (2014) 79-92. https://doi.org/10.1016/j.habitatint.2014. 04.012.
[5] L.K. Ninh, Factors affecting the price of peri-urban land in the Mekong Delta, Journal of Asian Business and Economic Studies 254 (2011) 11-17 (in Vietnamese).
[6] N.Q.Hoa, N.H. Duong, Building a model of mass land valuation for Go Vap district, Ho Chi Minh City, Journal of Asian Business and Economic Studies 26(3) (2016) 82-103 (in Vietnamese).
[7] F.L. Paulo, P. Belfiore, Principal Component Factor Analysis, Multivariate Exploratory Data Analysis, Elsevier Inc., 2019, pp.383-438.
[8] J.B. Nichols., S.D. Oliner, M.R. Mulhall, Swings in commercial and residential land prices in the United States, Journal of Urban Economics 73(1) (2013) 57-76, https://doi.org/10.1016/j.jue. 2012. 06.004.
[9] V.Willy, Land value and price of land, Land use, land cover and soil sciences 3, UNESCO-EOLSS, 2005.
[10] G. George, P. Tatian, K. Pettit, Supportive Housing and Neighborhood Property Value Externalities, Land Economics 80 (2004) 33-54. https://doi.org/10.2307/3147143.
[11] K. Nasr, B.A. Portnov, Economic, demographic and environmental factors affecting urban land prices in the Arab sector in Israel, Land Use Policy 50(2016)518-527.https://doi.org/ 10.1016/j.landusepol. 2015. 08.031.
[12] M. Jafar, R. Samadi, A. Hosseini, Evaluating and analysis of socio-economic variables on land and housing prices in Mashhad, Iran, Sustainable Cities and Society 41 (2018) 695-705. https:// doi.org/10.1016/j.scs.2018.06. 022.
[13] N. Hiroki, Relationship among land price, entrepreneurship, the environment, economics, and social factors in the value assessment of Japanese cities, Journal of Cleaner Production 217 (2019) 144-152. https://doi.org/10.1016/j.jclepro. 2019.01.201.
[14] WHO, Burden of Disease From Environmental Noise The World Health Organization, 2011.
[15] B. Nir, D. Lavee, The Benefits and Costs of Noise Reduction, Journal of Environmental Planning and Management 46 (2003) 97-111. https://doi. org/10.1080/713676703.
[16] K.K. Sik, S.J. Park, Y.J. Kweon, Highway traffic noise effects on land price in an urban area, Transportation Research Part D: Transport and Environment 12 (4) (2007) 275-280. https://doi. org/10.1016/j.trd.2007.03.002.
[17] M.D. Carlos, Does noise have a stationary impact on residential values?, Journal of European Real Estate Research 2(3) (2009) 259-279. https://doi. org/10.1108/1753926091099 9992.
[18] D.M. Faris, Estimating land value uplift around light rail transit stations in Greater Kuala Lumpur: An empirical study based on geographically weighted regression (GWR), Research in Transportation Economics 74 (2019) 10-20. https:// doi.org/10.1016/j.retrec. 2019.01. 003.
[19] M. Sathita, A. Fukuda, V. ichiensan, V. Wasuntarasook (2018), Hedonic pricing model of assessed and market land values: A case study in Bangkok metropolitan area, Thailand, Case Studies on Transport Policy, Available online 21 September 2018. https://doi.org/10.1016/j.cstp. 2018.09.008.
[20] H.V. Dung, Identify factors that affect real estate prices, Journal of Finance 11 (2016) 54-57 (in Vietnamese).
[21] H. Shougeng, S. Yang, W. Li, C. Zhang, F. Xu, Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China, Applied Geography 68 (2016) 48-56. https://goi.org/10.1016/j.apgeog. 2016.01. 006.
[22] J. Hair, W.C. Black, B.J. Babin, R.E. Anderson, Multivariate Data Analysis, Pearson, 2009.
[23] B. Shenavr, S.M. Hosseini, Comparison of multi-criteria evaluation (AHP and WLC approaches) for Land capability assesment of Urban development in GIS, International Journal of geomatics and geosciences 4 (2014) 435-446.
[24] P.S. Liem, T.V. Tuan, Building Land Price Zone in Rural Areas: A Case Study of Duong Quang Commune, Gia Lam District, Hanoi City, Vietnam Journal Agriculture Science 16 (2018) 601-612 (in Vietnamese).
[25] C.R. Bollinger, K.R. Ihlanfeldt, D.R. Bowes, Spatial Variation in Office Rents within the Atlanta Region, Urban Studies 35 (1998) 1097-1118. https://doi.org/10.1080/0042098984501.
[26] B. Rabia, A.C. Aydinoglu, Providing land value information from geographic data infrastructure by using fuzzy logic analysis approach, Land Use Policy 78 (2017) 46-60. https://doi.org/10.1016/ j.landusepol.2017.07. 029.
[27] O. Evren, V. Dokmeci, G. Kiroglu, G. Egdemir, Spatial Analysis of Residential Prices in Istanbul, European Planning Studies, 15 (5) (2007) 707-721. https://doi.org/ 10.1080/09654 310701214085.
[28] N.D. Tho, N.T.M. Trang, Researching Marketing Sciences - Applying SEM linear structure model in business administration, Publisher of National University of Ho Chi Minh City, 2007 (in Vietnamese).
[29] J. Nunnally, Psychometric Theory, New York : McGraw-Hill, US, 1994.
[30] H. Trong, C.N.M. Ngoc, Analyze research data with SPSS, Hong Duc Publishing House, 2008 (in Vietnamese).
[31] A.F.M. Alkarkhi, W.A.A. Alqaraghuli, Factor Analysis, Easy Statistics for Food Science with R, 143-159, Elsevier, 2019.
[32] J.B. David, M. Knott, I. Moustaki, Latent Variable Models and Factor Analysis: A Unified Approach, Wiley, UK, 2011.
[33] S. Thomas, The analytic hierarchy process, MCGraw-Hill, New York, 1980.
[34] S. Thomas, The analytic hierarchy process- What it is and how it is used, Mathl Modelling 9 (1987) 161-176. https://doi.org/10.1016/0270-0255(87) 90473-8.
[35] T.Q. Binh, L.P. Thuy, Đ.T.M. Tam, Researching to build grassroots land information system software in urban areas (case study of Nguyen Du ward, Hai Ba Trung district, Hanoi city), Project VNU - QG.08.14, 2010 (in Vietnamese).
[36] L. Binbin, M. Charlton, A.S. Fotheringhama, Geographically Weighted Regression Using a Non-Euclidean Distance Metric with a Study on London House Price Data, Procedia Environmental Sciences 7(2011)92-97. https://doi.org/10.1016/ j.proenv. 2011.07.017.
[37] A.S. Fotheringham, C. Brunsdon, M. Charlton, Geographically Weighted Regression-The Analysis of Spatially Varying Relationships, Wiley, University of Newcastle, UK, 2002.