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https://doi.org/10.62836/emi.v4i6.548
Sun, Y. (2025). Research on Dynamic Monitoring of Real Estate Market Health Based on Multi-Source Data—Taking Liaocheng City as an Example. Economics & Management Information, 1–7. https://doi.org/10.62836/emi.v4i6.548
Volume 4, Issue 6, December 2025
Copyright (c) 2025 Yamin Sun
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This work is licensed under a Creative Commons Attribution 4.0 International License.

Research on Dynamic Monitoring of Real Estate Market Health Based on Multi-Source Data—Taking Liaocheng City as an Example

To improve the accuracy of real estate market monitoring, this paper addresses the significant regional differentiation and outdated traditional monitoring methods in the Liaocheng real estate market. Based on the digital twin theoretical framework, it integrates multi-source data such as online sales contracts for commercial housing, land auctions, and water and electricity consumption to construct a dynamic monitoring model for the health of the real estate market. The study establishes a three-dimensional evaluation index system of supply and demand balance, price fluctuations, and market vitality, uses the entropy weight method to determine objective weights, and achieves regional health classification through K-means clustering. Empirical results show that the Liaocheng real estate market exhibits a significant spatial differentiation pattern of “healthy and active core areas and pressured peripheral counties and cities”. Dongchangfu District and Linqing City are considered healthy areas, Yanggu County and Gaotang County are considered relatively cold areas, while Shen County, Dong’e County, Chiping District, and Guan County are considered excessively cold areas. Cross-validation using online sales contracts and water and electricity data reveals a phenomenon of “high online sales contracts and low electricity consumption” in peripheral counties and cities, indicating a high vacancy rate risk. The study proposes a zoned and classified control strategy and constructs an integrated governance system of “monitoring-early warning-control”, providing methodological support for the refined management of the city and county-level real estate markets.

real estate health multi-source data fusion dynamic monitoring

References

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Supporting Agencies

  1. Funding: This research received no external funding.