{"title":"互联网房地产中介平台对房地产市场的影响","authors":"Wenzhan Zhang, Shaofei Chen, Dongmei Guo, Bing Li","doi":"10.1145/3371238.3371259","DOIUrl":null,"url":null,"abstract":"The real estate industry not only plays an important role in the economy development of China, but also receives widespread attention from public as it involves the vital interests of every family. High housing prices and violent fluctuations are often criticized as obstacles to the further economic development. In many product markets, it is found that e-commerce platforms have significant advantages in information symmetry and transparency. This helps to stabilize prices and reduce volatility. However, there is no research specifically on the impact of e-commerce platforms on the real estate market. This paper explores the impact of the emerging Internet real estate intermediary platform on the real estate market based on difference-in-difference model(DID). This paper analyzes the real estate transactions data in Beijing from 2015 to 2016 and the interest rate cut policy of People's Bank of China in Octorber 2015. The results show that compared with the traditional intermediary, the Internet trading platform has significantly reduced the housing price increase and transaction fluctuations after the policy shock. Taken into account the characteristic differences in the property of the two trading methods, we use the PSM-DID method to reanalyze the data. And We did not found any difference about the results.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"89 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The Impact of Internet Real Estate Intermediary Platform on the Real Estate Market\",\"authors\":\"Wenzhan Zhang, Shaofei Chen, Dongmei Guo, Bing Li\",\"doi\":\"10.1145/3371238.3371259\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The real estate industry not only plays an important role in the economy development of China, but also receives widespread attention from public as it involves the vital interests of every family. High housing prices and violent fluctuations are often criticized as obstacles to the further economic development. In many product markets, it is found that e-commerce platforms have significant advantages in information symmetry and transparency. This helps to stabilize prices and reduce volatility. However, there is no research specifically on the impact of e-commerce platforms on the real estate market. This paper explores the impact of the emerging Internet real estate intermediary platform on the real estate market based on difference-in-difference model(DID). This paper analyzes the real estate transactions data in Beijing from 2015 to 2016 and the interest rate cut policy of People's Bank of China in Octorber 2015. The results show that compared with the traditional intermediary, the Internet trading platform has significantly reduced the housing price increase and transaction fluctuations after the policy shock. Taken into account the characteristic differences in the property of the two trading methods, we use the PSM-DID method to reanalyze the data. And We did not found any difference about the results.\",\"PeriodicalId\":241191,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Crowd Science and Engineering\",\"volume\":\"89 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Crowd Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3371238.3371259\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Crowd Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3371238.3371259","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
房地产行业不仅在中国的经济发展中扮演着重要的角色,而且由于涉及到每个家庭的切身利益而受到公众的广泛关注。高房价和剧烈波动经常被批评为阻碍经济进一步发展的障碍。在许多产品市场中,我们发现电子商务平台在信息对称和透明度方面具有显著的优势。这有助于稳定价格,减少波动性。然而,目前还没有专门研究电子商务平台对房地产市场的影响。本文基于差分差分模型(difference of difference model, DID)探讨了新兴的互联网房地产中介平台对房地产市场的影响。本文分析了2015 - 2016年北京房地产交易数据和2015年10月中国人民银行的降息政策。结果表明,与传统中介相比,互联网交易平台显著降低了政策冲击后的房价涨幅和交易波动。考虑到两种交易方法在属性上的特征差异,我们使用PSM-DID方法对数据进行重新分析。我们没有发现结果有什么不同。
The Impact of Internet Real Estate Intermediary Platform on the Real Estate Market
The real estate industry not only plays an important role in the economy development of China, but also receives widespread attention from public as it involves the vital interests of every family. High housing prices and violent fluctuations are often criticized as obstacles to the further economic development. In many product markets, it is found that e-commerce platforms have significant advantages in information symmetry and transparency. This helps to stabilize prices and reduce volatility. However, there is no research specifically on the impact of e-commerce platforms on the real estate market. This paper explores the impact of the emerging Internet real estate intermediary platform on the real estate market based on difference-in-difference model(DID). This paper analyzes the real estate transactions data in Beijing from 2015 to 2016 and the interest rate cut policy of People's Bank of China in Octorber 2015. The results show that compared with the traditional intermediary, the Internet trading platform has significantly reduced the housing price increase and transaction fluctuations after the policy shock. Taken into account the characteristic differences in the property of the two trading methods, we use the PSM-DID method to reanalyze the data. And We did not found any difference about the results.