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Research on the Impact of Debt Structure on Corporate Performance of Listed Real Estate Companies

机译:债务结构对上市房地产公司企业绩效的影响研究

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Real estate companies are one of the most active forces in economic activities and occupy a large market share in China. Data of real estate listed companies from 2016 to 2018 are selected as samples to be listed on the Shanghai and Shenzhen stock exchanges. This paper studies by establishing panel data model, and used Stata15 software to empirically test different debt structures and whether debt levels affect performance. By processing the data, we can know that the higher the level of debt, the lower the company's performance, and performance will also improve as the proportion of short-term liabilities in the debt structure increases. The conclusion of this text shows that under the macro-economic background of deleveraging in China, real estate companies should reduce overall debt levels to reduce financial risks, and actively respond to national policies. In the structure of liabilities, the proportion of current liabilities should be appropriately increased to restrain the agent, reduce the risk investment behavior, and increase the business performance.
机译:房地产公司是经济活动中最活跃的力量之一,并在中国占据大量市场份额。 2016年至2018年的房地产数据数据被选为上海和深圳股票交易所上市的样品。本文通过建立面板数据模型,使用Stata15软件经验测试不同的债务结构以及债务水平是否会影响性能。通过处理数据,我们可以知道债务水平越高,公司的绩效越低,绩效也将随着债务结构中短期负债的比例而提高。本文的结论表明,在中国宏观经济背景下,房地产公司应减少整体债务水平以减少金融风险,并积极应对国家政策。在负债的结构中,应适当增加流动负债的比例以限制代理,降低风险投资行为,并提高业务绩效。

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