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Divorce And Housing Price In 31 Provinces Of China

Author

Listed:
  • Mingbo Zheng

    (Xi’an Jiaotong University)

  • Yin E Chen

    (Changsha University of Science & Technology)

  • Gen-Fu Feng

    (Xi’an Jiaotong University)

  • Jun Wen

    (Xi’an Jiaotong University)

  • Chun-Ping Chang

    (Shih Chien University)

Abstract

This paper investigates the long-run cointegration relationship between housing price and divorce in China using panel data for 31 provinces over the period 1997-2015. We find that housing price and divorce have the long-run cointegrated relationship in the full samples, in the short run, housing price has a positive effect on divorce in the whole country, particularly the Eastern region. For the long run, the reverse effect is discovered in the full sample and Eastern region. These results are robust once we use the residential housing price as an alternative variable. Our finding suggests that the government should take the short-run housing price regulation to slowdown the divorce rate.

Suggested Citation

  • Mingbo Zheng & Yin E Chen & Gen-Fu Feng & Jun Wen & Chun-Ping Chang, 2018. "Divorce And Housing Price In 31 Provinces Of China," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(2), pages 1-16, October.
  • Handle: RePEc:idn:journl:v:21:y:2018:i:2:p:1-16
    DOI: https://doi.org/10.21098/bemp.v21i1.942
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    Citations

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    Cited by:

    1. Hu, Haiqing & Wei, Wei & Chang, Chun-Ping, 2022. "Examining the impact of extreme temperature on green innovation in China: Evidence from city-level data," Energy Economics, Elsevier, vol. 114(C).
    2. Chen, Yin E. & Fu, Qiang & Zhao, Xinxin & Yuan, Xuemei & Chang, Chun-Ping, 2019. "International sanctions’ impact on energy efficiency in target states," Economic Modelling, Elsevier, vol. 82(C), pages 21-34.
    3. Phoumin, Han & Kimura, Fukunari, 2019. "The impacts of energy insecurity on household welfare in Cambodia: Empirical evidence and policy implications," Economic Modelling, Elsevier, vol. 82(C), pages 35-41.
    4. Feng, Suling & Sui, Bo & Liu, Huimin & Li, Guoxiang, 2020. "Environmental decentralization and innovation in China," Economic Modelling, Elsevier, vol. 93(C), pages 660-674.
    5. Zheng, Mingbo & Feng, Gen-Fu & Feng, Suling & Yuan, Xuemei, 2019. "The road to innovation vs. the role of globalization: A dynamic quantile investigation," Economic Modelling, Elsevier, vol. 83(C), pages 65-83.
    6. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.
    7. Wei, Wei & Zhang, Wan-Li & Wen, Jun & Wang, Jun-Sheng, 2020. "TFP growth in Chinese cities: The role of factor-intensity and industrial agglomeration," Economic Modelling, Elsevier, vol. 91(C), pages 534-549.

    More about this item

    Keywords

    Divorce; Housing Price; Panel Cointegration Test; FMOLS;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

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