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Spatial interrelations of Chinese housing markets: Spatial causality, convergence and diffusion

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Cited by:

  1. Cipollini, Andrea & Parla, Fabio, 2020. "Housing market shocks in italy: A GVAR approach," Journal of Housing Economics, Elsevier, vol. 50(C).
  2. 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.
  3. Yang, Jian & Tong, Meng & Yu, Ziliang, 2021. "Housing market spillovers through the lens of transaction volume: A new spillover index approach," Journal of Empirical Finance, Elsevier, vol. 64(C), pages 351-378.
  4. Xintong Yang & Yu Zhang & Qi Li, 2021. "The role of price spillovers: what is different in China," Empirical Economics, Springer, vol. 60(1), pages 459-485, January.
  5. Lu, Yunzhi & Li, Jie & Yang, Haisheng, 2021. "Time-varying inter-urban housing price spillovers in China: Causes and consequences," Journal of Asian Economics, Elsevier, vol. 77(C).
  6. Enwei Zhu & Jing Wu & Hongyu Liu & Xindian Li, 2022. "Within‐City Spatial Distribution, Heterogeneity and Diffusion of House Price: Evidence from a Spatiotemporal Index for Beijing," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(3), pages 621-655, September.
  7. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.
  8. Junjie Li & Li Zheng & Chunlu Liu & Zhifeng Shen, 2021. "Information Spillover Effects of Real Estate Markets: Evidence from Ten Metropolitan Cities in China," JRFM, MDPI, vol. 14(6), pages 1-19, May.
  9. Xiandeng Jiang & Le Chang & Yanlin Shi, 2023. "Housing price diffusions in mainland China: evidence from a spatially penalized graphical VAR model," Empirical Economics, Springer, vol. 64(2), pages 765-795, February.
  10. Zheng, Xian & Chen, Xingtao & Yuan, Ziqing, 2021. "Exploring the spatial spillover effect of home purchase restrictions on residential land prices based on the difference-in-differences approach: Evidence from 195 Chinese cities," Land Use Policy, Elsevier, vol. 102(C).
  11. Xiao Dai & Jian Wu & Liang Yan, 2018. "A Spatial Evolutionary Study of Technological Innovation Talents’ Sticky Wages and Technological Innovation Efficiency Based on the Perspective of Sustainable Development," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
  12. Zhao, Renjie & Zhang, Jiakai, 2022. "Rent-tax substitution and its impact on firms: Evidence from housing purchase limits policy in China," Regional Science and Urban Economics, Elsevier, vol. 96(C).
  13. Chien-Fu Chen & Shu-hen Chiang, 2020. "Time-varying spillovers among first-tier housing markets in China," Urban Studies, Urban Studies Journal Limited, vol. 57(4), pages 844-864, March.
  14. Chunping Liu & Zhirong Ou, 2022. "Revisiting the determinants of house prices in China’s megacities: Cross‐sectional heterogeneity, interdependencies and spillovers," Manchester School, University of Manchester, vol. 90(3), pages 255-277, June.
  15. Omar H. M. N. Bashar, 2021. "An Intra-City Analysis of House Price Convergence and Spatial Dependence," The Journal of Real Estate Finance and Economics, Springer, vol. 63(4), pages 525-546, November.
  16. Lu Liu & Linda Qiu & Yuanyuan Yang, 2022. "Urban housing prices within a core urban agglomeration in China," SN Business & Economics, Springer, vol. 2(11), pages 1-38, November.
  17. Xiaojie Xu & Yun Zhang, 2022. "Contemporaneous causality among one hundred Chinese cities," Empirical Economics, Springer, vol. 63(4), pages 2315-2329, October.
  18. Yuanyuan Cai & Yingming Zhu & Marco Helbich, 2022. "Club convergence of regional housing prices in China: evidence from 70 major Cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 33-55, August.
  19. Alfred Larm Teye & Daniel Felix Ahelegbey, 2017. "Spatial and Temporal House Price Diffusion in the Netherlands: A Bayesian Network Approach," ERES eres2017_337, European Real Estate Society (ERES).
  20. Jian Yang & Meng Tong & Ziliang Yu, 2023. "Can volume be more informative than prices? Evidence from Chinese housing markets," Review of Quantitative Finance and Accounting, Springer, vol. 61(2), pages 633-672, August.
  21. Cheng-Wen Lee & Shu-Hen Chiang & Zhong-Qin Wen, 2023. "Pursuing the Sustainability of Real Estate Market: The Case of Chinese Land Resources Diversification," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
  22. Sihan Zhang & Ming‐ang Zhang & Weizeng Sun, 2022. "Administrative Division Adjustment and Housing Price Comovement: Evidence from City‐County Mergers in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(4), pages 149-173, July.
  23. Tomal Mateusz, 2020. "Spillovers across House Price Convergence Clubs: Evidence from the Polish Housing Market," Real Estate Management and Valuation, Sciendo, vol. 28(2), pages 13-20, June.
  24. Ryan R. Brady, 2021. "Direct Forecasting for Applied Regional Analysis," Departmental Working Papers 67, United States Naval Academy Department of Economics.
  25. 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.
  26. I-Chun Tsai, 2022. "The connectedness between Hong Kong and China real estate markets: spillover effect and information transmission," Empirical Economics, Springer, vol. 63(1), pages 287-311, July.
  27. Williams, Joseph, 2018. "Housing markets with endogenous search: Theory and implications," Journal of Urban Economics, Elsevier, vol. 105(C), pages 107-120.
  28. Teye, Alfred Larm & Ahelegbey, Daniel Felix, 2017. "Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 56-64.
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