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Text Analysis of Policies in the Real Estate Market: Comparisons of 21 Chinese Cities

Author

Listed:
  • Dechun Song

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Juntong Zhu

    (Business School, Beijing Information Science and Technology University, Beijing 100192, China)

  • Guohui Hu

    (Business School, Beijing Information Science and Technology University, Beijing 100192, China)

  • Danyang He

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Hong Zhao

    (School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China)

  • Zongshui Wang

    (Business School, Beijing Information Science and Technology University, Beijing 100192, China
    Institute of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China)

Abstract

Real estate plays a pivotal role in fostering national economic growth and ensuring social stability. In China, housing constitutes the largest fixed asset for the majority of households. Given the extensive network of upstream and downstream industries associated with real estate, the government places significant emphasis on its regulation and development, employing a variety of policy instruments to maintain market stability. This study adopts a quantitative approach to conduct a text analysis of China’s real estate policies through the lens of knowledge mapping and LDA topic modeling, while also comparing policy content across 21 different cities. The findings indicate that real estate policy in China transcends mere market regulation. It also encompasses governance within the construction industry as well as provisions for housing security. Furthermore, due to the diverse roles that real estate plays in economic development and urban construction, there is notable regional heterogeneity in policy priorities. By text analysis of real estate policies, this study provides a systematic overview of policy content, thereby laying a foundation for more nuanced and regionally differentiated research within the realm of real estate policy.

Suggested Citation

  • Dechun Song & Juntong Zhu & Guohui Hu & Danyang He & Hong Zhao & Zongshui Wang, 2025. "Text Analysis of Policies in the Real Estate Market: Comparisons of 21 Chinese Cities," Sustainability, MDPI, vol. 17(19), pages 1-33, September.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:19:p:8694-:d:1759411
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    References listed on IDEAS

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    1. Du, Hongyan & Ma, Yongkai & An, Yunbi, 2011. "The impact of land policy on the relation between housing and land prices: Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(1), pages 19-27, February.
    2. Reinhart, Carmen & Rogoff, Kenneth, 2009. "This Time It’s Different: Eight Centuries of Financial Folly-Preface," MPRA Paper 17451, University Library of Munich, Germany.
    3. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    4. Chang Chen & Haoyu Zhai & Zhiruo Wang & Shen Ma & Jie Sun & Chengliang Wu & Yang Zhang & Fabio Tramontana, 2022. "Experimental Research on the Impact of Interest Rate on Real Estate Market Transactions," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-14, March.
    5. Reinhart, Carmen & Rogoff, Kenneth, 2009. "This Time It’s Different: Eight Centuries of Financial Folly-Chapter 1," MPRA Paper 17452, University Library of Munich, Germany.
    6. Mengyang Wang & Lihe Chai, 2018. "Three new bibliometric indicators/approaches derived from keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 721-750, August.
    7. Li, Cheng & Zhang, Ying, 2021. "How does housing wealth affect household consumption? Evidence from macro-data with special implications for China," China Economic Review, Elsevier, vol. 69(C).
    8. Zhang, Hao & Daim, Tugrul & Zhang, Yunqiu (Peggy), 2021. "Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    9. Wu, Guiying Laura & Feng, Qu & Li, Pei, 2015. "Does local governments’ budget deficit push up housing prices in China?," China Economic Review, Elsevier, vol. 35(C), pages 183-196.
    10. Du, Zaichao & Zhang, Lin, 2015. "Home-purchase restriction, property tax and housing price in China: A counterfactual analysis," Journal of Econometrics, Elsevier, vol. 188(2), pages 558-568.
    11. Zhang, Dingsheng & Cheng, Wenli & Ng, Yew-Kwang, 2013. "Increasing returns, land use controls and housing prices in China," Economic Modelling, Elsevier, vol. 31(C), pages 789-795.
    12. Aditya Aladangady, 2017. "Housing Wealth and Consumption: Evidence from Geographically-Linked Microdata," American Economic Review, American Economic Association, vol. 107(11), pages 3415-3446, November.
    13. repec:rnp:ecopol:09111 is not listed on IDEAS
    14. Ying Fan & Abdullah Yavas, 2020. "How Does Mortgage Debt Affect Household Consumption? Micro Evidence from China," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(1), pages 43-88, March.
    15. Shao, Xiaokuai & White, Alexander, 2021. "Outsiders, insiders and interventions in the housing market," Journal of Comparative Economics, Elsevier, vol. 49(1), pages 110-134.
    16. Culasso, Francesca & Gavurova, Beata & Crocco, Edoardo & Giacosa, Elisa, 2023. "Empirical identification of the chief digital officer role: A latent Dirichlet allocation approach," Journal of Business Research, Elsevier, vol. 154(C).
    17. Slemrod, Joel & Weber, Caroline & Shan, Hui, 2017. "The behavioral response to housing transfer taxes: Evidence from a notched change in D.C. policy," Journal of Urban Economics, Elsevier, vol. 100(C), pages 137-153.
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