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Analysis of spatial variation of credit risk of China listed companies based on spatially varying coefficient logistic models

机译：基于空间不同系数逻辑模型的中国上市公司信用风险空间变化分析

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Nowadays, since the booming economy of china, the development of financing behaviors, represented by the financial took it such as stocks and bonds, is increasing continuously in our country, meanwhile, it is more and more prominent that the credit risks problems brought by the frequent defaults in credit transactions. Analysis of credit risk characteristics become a very important study topic. Whether A-share listed companies in some provinces in the central and eastern regions of my country being special treatment (ST) are used as a sample to study credit risk. Based on the spatially varying coefficient logistic models, this paper analyzes the spatial variation characteristics of industry type and ownership nature affecting the probability of listed companies being ST. The results show that there is a large spatial variation in the intensity of the influence of these factors on the risk of listed companies being ST.
机译：如今，中国蓬勃发展的经济，财务所代表的融资行为的发展，我国的股票和债券正在不断增加，同时，信贷风险所带来的信用风险越来越突出 频繁的信用交易默认值。 信用风险特征分析成为一个非常重要的研究主题。 无论我国中部和东部地区的某些省份的A股上市公司是否被特别待遇（ST）被用作研究信用风险的样本。 基于空间不同的系数物流模型，本文分析了影响所列公司概率的行业类型和所有权自然的空间变化特征。 结果表明，这些因素对所上市公司的风险的影响力有很大的空间变化。

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