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Cross‐city spillovers in Chinese housing markets: From a city network perspective

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  • Yunlong Gong
  • Jan de Haan
  • Peter Boelhouwer

Abstract

Cross‐city spillovers among housing markets are usually modelled by the classical spatial autoregressive models, which usually suffer from identification problems in practice. This paper investigates the cross‐city house price spillovers arising from city network externalities wherein a city's connections with other cities in the urban network create the external house price premium through productivity and amenity gains. Using a cross‐sectional data set for an urban system in eastern China, we present significant evidence for positive network spillovers by the application of spatial lag of X model and spatial Durbin error model. Besides, common shocks are also proved to be responsible for cross‐city dependence of house prices. Los spillovers entre ciudades para los mercados de la vivienda se suelen modelizar mediante los modelos clásicos de autorregresión espacial, que en la práctica suelen sufrir problemas de identificación. Este artículo investiga los spillovers del precio de la vivienda entre las ciudades que se derivan de las externalidades de la red de ciudades, en las que las conexiones de una ciudad con otras ciudades de la red urbana crean la prima externa del precio de la vivienda mediante el aumento de la productividad y servicios. Utilizando un conjunto de datos transversales para un sistema urbano en el este de China, se presentan pruebas significativas de los spillovers positivos de la red mediante la aplicación del desfase espacial del modelo X y el modelo espacial de error de Durbin. Además, se demuestra que las perturbaciones comunes son también responsables de la dependencia entre ciudades de los precios de la vivienda. 住宅市場間の都市間のスピルオーバーは、通例、古典的な空間的自己回帰モデルでモデル化されるが、大抵は実用すると同定問題が発生する。都市ネットワークにおける都市と都市のつながりは生産性とアメニティの利益を介して外部住宅価格プレミアム生み出すが、本稿では、その都市ネットワークの外部性から生じる都市間の住宅価格スピルオーバーを検討する。中国東部の都市システムから得られた横断的データセットを使用し、Xモデルの空間ラグモデルおよび空間ダービン誤差モデルを用いてネットワークの正のスピルオーバー有意に示すエビデンスを提示する。さらに、都市間の住宅価格依存性がショックの原因であることが判明した。

Suggested Citation

  • Yunlong Gong & Jan de Haan & Peter Boelhouwer, 2020. "Cross‐city spillovers in Chinese housing markets: From a city network perspective," Papers in Regional Science, Wiley Blackwell, vol. 99(4), pages 1065-1085, August.
  • Handle: RePEc:bla:presci:v:99:y:2020:i:4:p:1065-1085
    DOI: 10.1111/pirs.12512
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    as
    1. Karolien De Bruyne & Jan Van Hove, 2013. "Explaining the spatial variation in housing prices: an economic geography approach," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1673-1689, May.
    2. Edward L. Glaeser & Joseph Gyourko & Raven E. Saks, 2006. "Urban growth and housing supply," Journal of Economic Geography, Oxford University Press, vol. 6(1), pages 71-89, January.
    3. Stephen Gibbons & Henry G. Overman, 2012. "Mostly Pointless Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 172-191, May.
    4. H. Hanson, Gordon, 2005. "Market potential, increasing returns and geographic concentration," Journal of International Economics, Elsevier, vol. 67(1), pages 1-24, September.
    5. Siqi Zheng & Jing Cao & Matthew Kahn & Cong Sun, 2014. "Real Estate Valuation and Cross-Boundary Air Pollution Externalities: Evidence from Chinese Cities," The Journal of Real Estate Finance and Economics, Springer, vol. 48(3), pages 398-414, April.
    6. Michael J. Potepan, 1996. "Explaining Intermetropolitan Variation in Housing Prices, Rents and Land Prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 24(2), pages 219-245.
    7. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2014. "Spatial lag models with nested random effects: An instrumental variable procedure with an application to English house prices," Journal of Urban Economics, Elsevier, vol. 80(C), pages 76-86.
    8. Roberta Capello, 2000. "The City Network Paradigm: Measuring Urban Network Externalities," Urban Studies, Urban Studies Journal Limited, vol. 37(11), pages 1925-1945, October.
    9. Cohen, Jeffrey P. & Ioannides, Yannis M. & (Wirathip) Thanapisitikul, Win, 2016. "Spatial effects and house price dynamics in the USA," Journal of Housing Economics, Elsevier, vol. 31(C), pages 1-13.
    10. Ozanne, Larry & Thibodeau, Thomas, 1983. "Explaining metropolitan housing price differences," Journal of Urban Economics, Elsevier, vol. 13(1), pages 51-66, January.
    11. Holly, Sean & Hashem Pesaran, M. & Yamagata, Takashi, 2011. "The spatial and temporal diffusion of house prices in the UK," Journal of Urban Economics, Elsevier, vol. 69(1), pages 2-23, January.
    12. Brady, Ryan R., 2014. "The spatial diffusion of regional housing prices across U.S. states," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 150-166.
    13. Roback, Jennifer, 1982. "Wages, Rents, and the Quality of Life," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1257-1278, December.
    14. Evert Meijers & Martijn Burger & Roberto Camagni & Roberta Capello & Andrea Caragliu, 2016. "Static vs. dynamic agglomeration economies. Spatial context and structural evolution behind urban growth," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 133-158, March.
    15. Luisa Corrado & Bernard Fingleton, 2012. "Where Is The Economics In Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 210-239, May.
    16. Bernard Fingleton & Julie Le Gallo, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances: Finite sample properties," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 319-339, August.
    17. Börje Johansson & John M. Quigley, 2004. "Agglomeration and networks in spatial economies," Advances in Spatial Science, in: Raymond J. G. M. Florax & David A. Plane (ed.), Fifty Years of Regional Science, pages 165-176, Springer.
    18. Partridge, Mark D. & Rickman, Dan S. & Ali, Kamar & Olfert, M. Rose, 2009. "Agglomeration spillovers and wage and housing cost gradients across the urban hierarchy," Journal of International Economics, Elsevier, vol. 78(1), pages 126-140, June.
    19. N. A. Phelps & R. J. Fallon & C. L. Williams, 2001. "Small Firms, Borrowed Size and the Urban-Rural Shift," Regional Studies, Taylor & Francis Journals, vol. 35(7), pages 613-624.
    20. Rafael Boix & Joan Trullén, 2007. "Knowledge, networks of cities and growth in regional urban systems," Papers in Regional Science, Wiley Blackwell, vol. 86(4), pages 551-574, November.
    21. Yang, Jian & Yu, Ziliang & Deng, Yongheng, 2018. "Housing price spillovers in China: A high-dimensional generalized VAR approach," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 98-114.
    22. Luc Anselin & Nancy Lozano-Gracia & Uwe Deichmann & Somik Lall, 2010. "Valuing Access to Water—A Spatial Hedonic Approach, with an Application to Bangalore, India," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 161-179.
    23. Can, Ayse, 1992. "Specification and estimation of hedonic housing price models," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 453-474, September.
    24. 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.
    25. Julie Le Gallo & Bernard Fingleton, 2008. "Estimating spatial models with endogenous variables, a spatial lag and spatially dependent disturbances : finite sample properties," Post-Print hal-00485035, HAL.
    26. Evert J Meijers & Martijn J Burger, 2017. "Stretching the concept of ‘borrowed size’," Urban Studies, Urban Studies Journal Limited, vol. 54(1), pages 269-291, January.
    27. Liv Osland, 2010. "An Application of Spatial Econometrics in Relation to Hedonic House Price Modelling," Journal of Real Estate Research, American Real Estate Society, vol. 32(3), pages 289-320.
    28. Steven Brakman & Harry Garretsen & Marc Schramm, 2004. "The Spatial Distribution of Wages: Estimating the Helpman‐Hanson Model for Germany," Journal of Regional Science, Wiley Blackwell, vol. 44(3), pages 437-466, August.
    29. J. Elhorst, 2010. "Applied Spatial Econometrics: Raising the Bar," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(1), pages 9-28.
    30. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
    31. Glaeser, Edward L. & Gyourko, Joseph & Morales, Eduardo & Nathanson, Charles G., 2014. "Housing dynamics: An urban approach," Journal of Urban Economics, Elsevier, vol. 81(C), pages 45-56.
    32. Solmaria Halleck Vega & J. Paul Elhorst, 2015. "The Slx Model," Journal of Regional Science, Wiley Blackwell, vol. 55(3), pages 339-363, June.
    33. Guo, Juncong & Qu, Xi, 2019. "Spatial interactive effects on housing prices in Shanghai and Beijing," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 147-160.
    34. Evert Meijers & Martijn Burger & Evert J. Meijers & Martijn J. Burger & Marloes M. Hoogerbrugge, 2016. "Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 181-198, March.
    35. Bernard Fingleton, 2008. "Housing Supply, Housing Demand, and Affordability," Urban Studies, Urban Studies Journal Limited, vol. 45(8), pages 1545-1563, July.
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    4. Hongming Zhang & Tieshan Sun & Yuanxi Li, 2022. "Network capital and economic growth of major urban agglomeration regions in China," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 60-75, November.

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