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Urban agglomeration, housing price, and space–time spillover effect—Empirical evidences based on data from hundreds of cities in China

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  • Feng Lan
  • Chengcai Jiao
  • Guoying Deng
  • Huili Da

Abstract

Taking 100 cities in China, this paper adopts gravity model, time–space model, and generalized impulse response function to probe into the spillover effect of housing price against the backdrop of spatial agglomeration. This study found that the degree of spillover effect between cities is correlated to economic foundations and grade of cities in general. When economic foundations and grade of a city are basically the same, the spillover effect presents a law of weakening with the increase of distance. In urban agglomerations with higher degree of networked structure, the features are the all‐around spillover effect of central city.

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  • Feng Lan & Chengcai Jiao & Guoying Deng & Huili Da, 2021. "Urban agglomeration, housing price, and space–time spillover effect—Empirical evidences based on data from hundreds of cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(4), pages 898-919, June.
    • Handle: RePEc:wly:mgtdec:v:42:y:2021:i:4:p:898-919
    DOI: 10.1002/mde.3281
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    5. Zhou, Yulin & Lan, Feng & Zhou, Tao, 2021. "An experience-based mining approach to supporting urban renewal mode decisions under a multi-stakeholder environment in China," Land Use Policy, Elsevier, vol. 106(C).
    6. Chen, Ming & Chen, Chen, 2023. "Financial constraints alleviation: Why does state-owned share reduction in China promote firm performance?," Finance Research Letters, Elsevier, vol. 55(PA).

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