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 |
Population Structure, Real Estate Development Investment, Big Data
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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
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
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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Download@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}
}
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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