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Housing price, talent movement, and innovation output: Evidence from Chinese cities

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  • Xiongbin Lin
  • Ting Ren
  • Hao Wu
  • Youzhi Xiao

Abstract

How housing costs would influence the job‐housing choice of talent and associated city‐level innovation performance is a question of interest for urban development policies. Recently, considerable attention has been paid to the influence of rising housing prices on the attraction of talent and the associated innovation output in major Chinese cities. In this paper, we use the housing price data of 51 cities from the China Real Estate Index System database and the corresponding macro data of China City Statistical Yearbooks from 2005 to 2014 to analyze this focal research question. The empirical analysis shows that the increase in city housing prices generally correlates positively with city innovation outcome and talent attraction, suggesting no crowding‐out effect on the innovative performance of the city. However, the positive association between housing prices and innovation outcome and talent attraction has started to disappear in first‐tier cities in recent years, suggesting potential crowding‐out effect if the increasing housing prices transform to bubbles. This research thus provides considerable policy implications concerning the impacts of housing prices on talent movement and innovation output.

Suggested Citation

  • Xiongbin Lin & Ting Ren & Hao Wu & Youzhi Xiao, 2021. "Housing price, talent movement, and innovation output: Evidence from Chinese cities," Review of Development Economics, Wiley Blackwell, vol. 25(1), pages 76-103, February.
  • Handle: RePEc:bla:rdevec:v:25:y:2021:i:1:p:76-103
    DOI: 10.1111/rode.12705
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    as
    1. Tabuchi, Takatoshi & Thisse, Jacques-Francois, 2002. "Taste heterogeneity, labor mobility and economic geography," Journal of Development Economics, Elsevier, vol. 69(1), pages 155-177, October.
    2. Orazio Attanasio & Andrew Leicester & Matthew Wakefield, 2011. "Do House Prices Drive Consumption Growth? The Coincident Cycles Of House Prices And Consumption In The Uk," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 399-435, June.
    3. H. Hanson, Gordon, 2005. "Market potential, increasing returns and geographic concentration," Journal of International Economics, Elsevier, vol. 67(1), pages 1-24, September.
    4. He, Qing & Liu, Fangge & Qian, Zongxin & Tai Leung Chong, Terence, 2017. "Housing prices and business cycle in China: A DSGE analysis," International Review of Economics & Finance, Elsevier, vol. 52(C), pages 246-256.
    5. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    6. Oehmke, James F. & Tsukamoto, Satoshi & Post, Lori A., 2007. "Can Health Care Services Attract Retirees And Contribute to the Economic Sustainability of Rural Places?," Agricultural and Resource Economics Review, Cambridge University Press, vol. 36(1), pages 95-106, April.
    7. Henderson, Vernon & Kuncoro, Ari & Turner, Matt, 1995. "Industrial Development in Cities," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 1067-1090, October.
    8. Oehmke, James F. & Tsukamoto, Satoshi & Post, Lori A., 2007. "Can Health Care Services Attract Retirees And Contribute to the Economic Sustainability of Rural Places?," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(1), pages 1-12, April.
    9. Pines,David & Sadka,Efraim & Zilcha,Itzhak (ed.), 1998. "Topics in Public Economics," Cambridge Books, Cambridge University Press, number 9780521561365.
    10. Nelson C. Mark & Donggyu Sul, 2003. "Cointegration Vector Estimation by Panel DOLS and Long‐run Money Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 655-680, December.
    11. Office of Health Economics, 2007. "The Economics of Health Care," For School 001490, Office of Health Economics.
    12. Rong, Zhao & Wang, Wenchun & Gong, Qiang, 2016. "Housing price appreciation, investment opportunity, and firm innovation: Evidence from China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 34-58.
    13. Wu, Jing & Gyourko, Joseph & Deng, Yongheng, 2012. "Evaluating conditions in major Chinese housing markets," Regional Science and Urban Economics, Elsevier, vol. 42(3), pages 531-543.
    14. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    15. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 653-670, November.
    16. Fan, Ying & Yang, Zan & Yavas, Abdullah, 2019. "Understanding real estate price dynamics: The case of housing prices in five major cities of China✰," Journal of Housing Economics, Elsevier, vol. 43(C), pages 37-55.
    17. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
    18. Arne Isaksen & Heidi Wiig Aslesen, 2001. "Oslo: In What Way an Innovative City?," European Planning Studies, Taylor & Francis Journals, vol. 9(7), pages 871-887, October.
    19. Joakim Westerlund, 2005. "New Simple Tests for Panel Cointegration," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 297-316.
    20. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    21. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
    22. Gordon H. Hanson & Matthew J. Slaughter, 1999. "The Rybczynski Theorem, Factor-Price Equalization, and Immigration: Evidence from U.S. States," NBER Working Papers 7074, National Bureau of Economic Research, Inc.
    23. Zheng, Siqi & Kahn, Matthew E., 2008. "Land and residential property markets in a booming economy: New evidence from Beijing," Journal of Urban Economics, Elsevier, vol. 63(2), pages 743-757, March.
    24. Pedroni, Peter, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-670, Special I.
    25. Zhou, Qian & Shao, Qinglong & Zhang, Xiaoling & Chen, Jie, 2020. "Do housing prices promote total factor productivity? Evidence from spatial panel data models in explaining the mediating role of population density," Land Use Policy, Elsevier, vol. 91(C).
    26. Tsai, Diana H.A., 2018. "The effects of dynamic industrial transition on sustainable development," Structural Change and Economic Dynamics, Elsevier, vol. 44(C), pages 46-54.
    27. Hu, Mingzhi & Su, Yinxin & Ye, Wenping, 2019. "Promoting or inhibiting: The role of housing price in entrepreneurship," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
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    4. Jina Kim & Seungmin Jee & Seunghan Ro, 2023. "Do Public-Led Housing Site Development Projects Affect Local Housing Prices: A Proposal for a Comprehensive Policy Evaluation Methodology," Sustainability, MDPI, vol. 15(23), pages 1-27, December.
    5. Xiaoli Hao & Xinhui Wang & Haitao Wu & Yu Hao, 2023. "Path to sustainable development: Does digital economy matter in manufacturing green total factor productivity?," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 360-378, February.
    6. Runyuan Wang & Weiguang Cai & Hong Ren & Xianrui Ma, 2023. "Heterogeneous Effects of the Talent Competition on Urban Innovation in China: Evidence from Prefecture-Level Cities," Land, MDPI, vol. 12(3), pages 1-15, March.

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