Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
Series Vol. 46 , 01 December 2023
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Analysis of Real Estate Risk Analysis & Countermeasures Based on the Chinese Market
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Abstract
Chinese real estate is an important pillar of the economy, and the risk of it has shown a greater risk potential in recent years due to the impact of COVID-19. This study investigates the risks of Chinese real estate market and analyzes the corresponding risk-solving countermeasures in combination with government policies to achieve the smooth operation of the real estate market. Firstly, the study summarizes and investigates the risks of the real estate market in recent years, and comes up with four risk factors of the real estate market in China. Secondly, the study searches government policies in Chinese real estate industry through qualitative analysis and then analyzes the effects of their implementation. On this basis, the paper proposes a series of targeted countermeasure suggestions. According to the analysis, it is expected to put forward feasible proposals and preventive measures for the risks in Chinese real estate market, in order to promote the sound development of real estate enterprises.
Keywords
real estate, risk prevention, local strategy
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
- ISBN (Print)
- 978-1-83558-139-1
- ISBN (Online)
- 978-1-83558-140-7
- Published Date
- 01 December 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/46/20230319
- Copyright
- 01 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited