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Examining Spatial Heterogeneity Effects of Landscape and Environment on the Residential Location Choice of the Highly Educated Population in Guangzhou, China

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  • Yang Wang

    (Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China
    Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 510070, China)

  • Kangmin Wu

    (Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China
    Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 510070, China)

  • Jing Qin

    (School of Tourism Sciences, Beijing International Studies University, Beijing 100024, China
    Research Center of Beijing Tourism Development, Beijing 100024, China)

  • Changjian Wang

    (Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China
    Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 510070, China)

  • Hong’ou Zhang

    (Key Lab of Guangdong for Utilization of Remote Sensing and Geographical Information System, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China
    Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 510070, China)

Abstract

The residential location choice of the highly educated population is an important consideration to construct a livable city. While landscape and environment are important factors, few studies have deeply analyzed the spatial heterogeneity effects of landscape and environment on the residential location choices of a highly educated population. Taking Guangzhou as the sample, we built a livability-oriented conceptual framework of landscape and environment, and constructed datasets for highly educated population proportion, landscape, and environment factors, and other influencing factors for Guangzhou’s 1364 communities. Global regression and geographically weighted regression (GWR) models are used for analysis. The GWR model is more effective than the global regression model. We found spatial heterogeneity in the strength and direction of the relationship between the highly educated population proportion and landscape and environment. We find that landscape and environment exert spatial heterogeneity effects on the residential location choice of the highly educated population in Guangzhou. The conclusions will be of reference value to further understand how the spatial limitations of landscape and environment affect residential location choices. This study will help city managers formulate spatially differentiated environment improvement policies, thereby increasing the city’s sustainable development capabilities.

Suggested Citation

  • Yang Wang & Kangmin Wu & Jing Qin & Changjian Wang & Hong’ou Zhang, 2020. "Examining Spatial Heterogeneity Effects of Landscape and Environment on the Residential Location Choice of the Highly Educated Population in Guangzhou, China," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3869-:d:355893
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    as
    1. Raphael, Steven & Winter-Ember, Rudolf, 2001. "Identifying the Effect of Unemployment on Crime," Journal of Law and Economics, University of Chicago Press, vol. 44(1), pages 259-283, April.
    2. Vega, Amaya & Reynolds-Feighan, Aisling, 2009. "A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 401-419, May.
    3. De Vos, Jonas & Alemi, Farzad, 2020. "Are young adults car-loving urbanites? Comparing young and older adults’ residential location choice, travel behavior and attitudes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 986-998.
    4. Silvia Banfi & Massimo Filippini & Andrea Horehájová, 2008. "Valuation of Environmental Goods in Profit and Non-Profit Housing Sectors: Evidence from the Rental Market in the City of Zurich," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(IV), pages 631-654, December.
    5. Goodman, Allen C. & Thibodeau, Thomas G., 2003. "Housing market segmentation and hedonic prediction accuracy," Journal of Housing Economics, Elsevier, vol. 12(3), pages 181-201, September.
    6. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    7. Arthur C. Nelson & John Genereux & Michelle Genereux, 1992. "Price Effects of Landfills on House Values," Land Economics, University of Wisconsin Press, vol. 68(4), pages 359-365.
    8. Stevenson, Simon, 2004. "New empirical evidence on heteroscedasticity in hedonic housing models," Journal of Housing Economics, Elsevier, vol. 13(2), pages 136-153, June.
    9. David M. Brasington & Diane Hite, 2005. "Demand for Environmental Quality: A Spatial Hedonic Approach," Departmental Working Papers 2005-08, Department of Economics, Louisiana State University.
    10. Li, Shaoying & Lyu, Dijiang & Huang, Guanping & Zhang, Xiaohu & Gao, Feng & Chen, Yuting & Liu, Xiaoping, 2020. "Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 82(C).
    11. Epple, Dennis & Filimon, Radu & Romer, Thomas, 1984. "Equilibrium among local jurisdictions: toward an integrated treatment of voting and residential choice," Journal of Public Economics, Elsevier, vol. 24(3), pages 281-308, August.
    12. Geyer, Judy, 2017. "Housing demand and neighborhood choice with housing vouchers," Journal of Urban Economics, Elsevier, vol. 99(C), pages 48-61.
    13. Cho, Eun Joo & Rodriguez, Daniel & Song, Yan, 2008. "The Role of Employment Subcenters in Residential Location Decisions," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(2), pages 121-151.
    14. Okmyung Bin & Jeffrey Czajkowski & Jingyuan Li & Gabriele Villarini, 2017. "Housing Market Fluctuations and the Implicit Price of Water Quality: Empirical Evidence from a South Florida Housing Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 68(2), pages 319-341, October.
    15. Mi Diao & Yu Qin & Tien Foo Sing, 2016. "Negative Externalities of Rail Noise and Housing Values: Evidence from the Cessation of Railway Operations in Singapore," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 44(4), pages 878-917, October.
    16. Felix Haifeng Liao & Steven Farber & Reid Ewing, 2015. "Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 314-337, February.
    17. Been, Vicki & Ellen, Ingrid Gould & Gedal, Michael & Glaeser, Edward & McCabe, Brian J., 2016. "Preserving history or restricting development? The heterogeneous effects of historic districts on local housing markets in New York City," Journal of Urban Economics, Elsevier, vol. 92(C), pages 16-30.
    18. Brasington, David M. & Hite, Diane, 2005. "Demand for environmental quality: a spatial hedonic analysis," Regional Science and Urban Economics, Elsevier, vol. 35(1), pages 57-82, January.
    19. Adam Millsap, 2018. "Location choice in early adulthood: Millennials versus Baby Boomers," Papers in Regional Science, Wiley Blackwell, vol. 97(S1), pages 139-167, March.
    20. Ettema, Dick & Nieuwenhuis, Roy, 2017. "Residential self-selection and travel behaviour: What are the effects of attitudes, reasons for location choice and the built environment?," Journal of Transport Geography, Elsevier, vol. 59(C), pages 146-155.
    21. Yanchuan Mou & Qingsong He & Bo Zhou, 2017. "Detecting the Spatially Non-Stationary Relationships between Housing Price and Its Determinants in China: Guide for Housing Market Sustainability," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
    22. Nicole Gurran & Peter Phibbs, 2017. "When Tourists Move In: How Should Urban Planners Respond to Airbnb?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 80-92, January.
    23. Dean Hanink & Robert Cromley & Avraham Ebenstein, 2012. "Spatial Variation in the Determinants of House Prices and Apartment Rents in China," The Journal of Real Estate Finance and Economics, Springer, vol. 45(2), pages 347-363, August.
    24. Espey, Molly & Owusu-Edusei, Kwame, 2001. "Neighborhood Parks And Residential Property Values In Greenville, South Carolina," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 33(3), pages 1-6, December.
    25. Humphreys, John & Ahern, Aoife, 2019. "Is travel based residential self-selection a significant influence in modal choice and household location decisions?," Transport Policy, Elsevier, vol. 75(C), pages 150-160.
    26. Stenger, Anne & Harou, Patrice & Navrud, Ståle, 2009. "Valuing environmental goods and services derived from the forests," Journal of Forest Economics, Elsevier, vol. 15(1-2), pages 1-14, January.
    27. Kim, Hyun No & Boxall, Peter C. & Adamowicz, W.L.(Vic), 2019. "Analysis of the economic impact of water management policy on residential prices: Modifying choice set formation in a discrete house choice analysis," Journal of choice modelling, Elsevier, vol. 33(C).
    28. Kai Cao & Mi Diao & Bo Wu, 2019. "A Big Data–Based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 109(1), pages 173-186, January.
    29. Qiyan Wu & Tim Edensor & Jianquan Cheng, 2018. "Beyond Space: Spatial (Re)Production and Middle†Class Remaking Driven by Jiaoyufication in Nanjing City, China," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 42(1), pages 1-19, January.
    30. Karim W. F. Youssef, 2018. "The built environment and public health," Community Development, Taylor & Francis Journals, vol. 49(1), pages 121-122, January.
    31. Schirmer, Patrick & van Eggermond, Michael & Axhausen, Kay, 2014. "The role of location in residential location choice models: a review of literature," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 3-21.
    32. Mingche M. Li & H. James Brown, 1980. "Micro-Neighborhood Externalities and Hedonic Housing Prices," Land Economics, University of Wisconsin Press, vol. 56(2), pages 125-141.
    33. Julian Wolpert, 1965. "Behavioral Aspects Of The Decision To Migrate," Papers in Regional Science, Wiley Blackwell, vol. 15(1), pages 159-169, January.
    34. Huwei Wen & Zhao Zhao, 2019. "Talent introduction and housing price: a tale of Xi’an," Applied Economics Letters, Taylor & Francis Journals, vol. 26(11), pages 954-962, June.
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