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Research on Relationship Between Population Structure and Real Estate Investment with Big Data

Received: 13 January 2023     Accepted: 2 February 2023     Published: 14 February 2023
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Abstract

With the rapid development of "Internet +", the current supply and demand of real estate have changed. The introduction of big data technology to analyze the demographic structure and real estate market-related information improves the scientific nature of real estate investment decisions. Scientifically defining the guiding role of population structure on real estate development investment is helpful to promote the coordinated development of real estate industry. Based on this, we build a theoretical model of the real estate development investment data analysis support system by selecting the panel data of each province from 2002 to 2018 and using the econometric model. The impact of population structure is tested on real estate investment from the national level and sub-regional level. The specific effect of population structure is also analyzed on investment under the urbanization rate. The research result shows that the total dependency ratio of the population and the youth dependency ratio is negatively correlated with real estate development investment at the national level. The elderly dependency ratio is positively correlated with real estate development investment. At the regional level, the elderly dependency ratio is only in the central region. As a positive impact, the juvenile dependency ratio affects real estate development investment, but the degree of influence is different. From the perspective of the urbanization process, the higher the urbanization rate, the less binding the juvenile dependency ratio on real estate development investment. In view of this, from the perspective of population structure, suggestions are put forward on the supply-side structural reform of the real estate industry.

Published in Science Journal of Business and Management (Volume 11, Issue 1)
DOI 10.11648/j.sjbm.20231101.13
Page(s) 12-17
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Population Structure, Real Estate Development Investment, Big Data

References
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[5] Jin Jianfeng, Yang Tuquan, Zhang Yunqiao. Research on the impact of population aging on investment demand in the real estate market [J]. Jiangsu Science and Technology Information, 2013 (13): 7-8. (In Chinese).
[6] Zhang Hong, Yu Bo, Ju Lixin. Research on the spatial aggregation changes and influencing factors of housing development investment in China [J]. Operations Research and Management, 2016, 25 (02): 197-202. (In Chinese).
[7] Yang Yingying, Lin Wenhui, Wei Dongying. Research on urbanization, population structure and housing supply structure transformation [J]. Modern Business, 2019 (28): 29-30. (In Chinese).
[8] Zhu Linlin, Li Xiuting, Dong Jichang. Research on influencing factors of housing demand under the background of population aging: Based on the analysis of population structure, housing price and other factors [J]. Price Theory & Practice, 2019 (06): 95-98. (In Chinese).
[9] Long Teng, Wan Yong. Research on the influence of population structure on housing price index in large and medium-sized cities [J]. Construction Economics, 2022, 43 (06): 83-90. (In Chinese).
[10] Li Zhou, Wei Kai, SONG Yuchen, Zhang Junyu. Research on the influence of household population structure on housing demand in Liuzhou City [J]. Business Watch, 2022 (35): 55-61. (In Chinese).
[11] Deng Hongqian, Zhang Xue. The influence of population structure on housing price: Based on the two dimensions of dependency burden and floating population [J]. Jianghan Forum, 2021 (02): 12-20. (In Chinese).
[12] Yin Luyang, MENG Fanyu. Research on the impact of demographic change on housing demand: A case study of Hunan Province [J]. Shanghai Real Estate, 2022 (01): 29-34. (In Chinese).
[13] Gao Yuan, Tian Guofeng, Guo Yanfang. Research on the influence of demographic factors on urban commodity housing prices: A case study of Cangzhou City [J]. Business Economics, 2021 (04): 34-35+166. (In Chinese).
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Cite This Article
  • APA Style

    Wenjing Xiang, Gang Xia. (2023). Research on Relationship Between Population Structure and Real Estate Investment with Big Data. Science Journal of Business and Management, 11(1), 12-17. https://doi.org/10.11648/j.sjbm.20231101.13

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    ACS Style

    Wenjing Xiang; Gang Xia. Research on Relationship Between Population Structure and Real Estate Investment with Big Data. Sci. J. Bus. Manag. 2023, 11(1), 12-17. doi: 10.11648/j.sjbm.20231101.13

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    AMA Style

    Wenjing Xiang, Gang Xia. Research on Relationship Between Population Structure and Real Estate Investment with Big Data. Sci J Bus Manag. 2023;11(1):12-17. doi: 10.11648/j.sjbm.20231101.13

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  • @article{10.11648/j.sjbm.20231101.13,
      author = {Wenjing Xiang and Gang Xia},
      title = {Research on Relationship Between Population Structure and Real Estate Investment with Big Data},
      journal = {Science Journal of Business and Management},
      volume = {11},
      number = {1},
      pages = {12-17},
      doi = {10.11648/j.sjbm.20231101.13},
      url = {https://doi.org/10.11648/j.sjbm.20231101.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20231101.13},
      abstract = {With the rapid development of "Internet +", the current supply and demand of real estate have changed. The introduction of big data technology to analyze the demographic structure and real estate market-related information improves the scientific nature of real estate investment decisions. Scientifically defining the guiding role of population structure on real estate development investment is helpful to promote the coordinated development of real estate industry. Based on this, we build a theoretical model of the real estate development investment data analysis support system by selecting the panel data of each province from 2002 to 2018 and using the econometric model. The impact of population structure is tested on real estate investment from the national level and sub-regional level. The specific effect of population structure is also analyzed on investment under the urbanization rate. The research result shows that the total dependency ratio of the population and the youth dependency ratio is negatively correlated with real estate development investment at the national level. The elderly dependency ratio is positively correlated with real estate development investment. At the regional level, the elderly dependency ratio is only in the central region. As a positive impact, the juvenile dependency ratio affects real estate development investment, but the degree of influence is different. From the perspective of the urbanization process, the higher the urbanization rate, the less binding the juvenile dependency ratio on real estate development investment. In view of this, from the perspective of population structure, suggestions are put forward on the supply-side structural reform of the real estate industry.},
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - Research on Relationship Between Population Structure and Real Estate Investment with Big Data
    AU  - Wenjing Xiang
    AU  - Gang Xia
    Y1  - 2023/02/14
    PY  - 2023
    N1  - https://doi.org/10.11648/j.sjbm.20231101.13
    DO  - 10.11648/j.sjbm.20231101.13
    T2  - Science Journal of Business and Management
    JF  - Science Journal of Business and Management
    JO  - Science Journal of Business and Management
    SP  - 12
    EP  - 17
    PB  - Science Publishing Group
    SN  - 2331-0634
    UR  - https://doi.org/10.11648/j.sjbm.20231101.13
    AB  - With the rapid development of "Internet +", the current supply and demand of real estate have changed. The introduction of big data technology to analyze the demographic structure and real estate market-related information improves the scientific nature of real estate investment decisions. Scientifically defining the guiding role of population structure on real estate development investment is helpful to promote the coordinated development of real estate industry. Based on this, we build a theoretical model of the real estate development investment data analysis support system by selecting the panel data of each province from 2002 to 2018 and using the econometric model. The impact of population structure is tested on real estate investment from the national level and sub-regional level. The specific effect of population structure is also analyzed on investment under the urbanization rate. The research result shows that the total dependency ratio of the population and the youth dependency ratio is negatively correlated with real estate development investment at the national level. The elderly dependency ratio is positively correlated with real estate development investment. At the regional level, the elderly dependency ratio is only in the central region. As a positive impact, the juvenile dependency ratio affects real estate development investment, but the degree of influence is different. From the perspective of the urbanization process, the higher the urbanization rate, the less binding the juvenile dependency ratio on real estate development investment. In view of this, from the perspective of population structure, suggestions are put forward on the supply-side structural reform of the real estate industry.
    VL  - 11
    IS  - 1
    ER  - 

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Author Information
  • School of Business Administration, Guizhou University of Finance and Economics, Guiyang, China

  • School of Business Administration, Guizhou University of Finance and Economics, Guiyang, China

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