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Research on Influence Factors of Online Financing for Start-ups Based on 'Non-financial Index' Credit Dimension

机译:基于“非金融指数”信用维度的初创企业在线融资影响因素研究

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For the problem of small and micro enterprise credit evaluation and financing difficulties, this article takes the "non-financial index" dimension of corporate credit as the starting point to study the influencing factors of online financing for start-ups. Based on the 13 indicators disclosed by 547 s tart-ups projects in the field of shared economy/artificial intelligence and consumption upgrade in Beijing on the online financing platform, this paper conducted an empirical study on the influencing factors of online financing for start-ups. By means of factor analysis and binary logistic regression predicting models, it is found that the influence factors of corporate credit "non-financial indicators" for online financing of start-ups are the overall quality level of the founding team, the influence of the industry sector in which the entrepreneurial project is located, the disclosure of the basic information and the business model for start-ups. Among them, the overall quality level of the founding team has the greatest impact and each increase of one unit will increase the forecast success rate of financing results by 70.8%. The overall prediction accuracy of the model is 70.9%. These four factors can reflect the company's solvency and willingness to pay debts highlight the credit level of enterprises, thus affect the successful effect of online financing.
机译:对于小企业信用评估和融资困难的问题,本文将公司信用的“非金融指数”维度视为研究初创企业在线融资影响因素的起点。基于在线融资平台的共同经济/人工智能和消费升级领域的547年矫正项目披露的13个指标,本文对初创企业的在线融资影响因素进行了实证研究。通过因素分析和二元逻辑回归预测模型,发现企业信用“非金融指标”对在线融资的影响因素是创始团队的整体素质水平,行业的影响企业家项目所在的部门,披露基本信息和初创企业的商业模式。其中,创始团队的整体质量水平具有最大的影响力,每个单位的增加将增加融资结果的预测成功率为70.8%。该模型的总体预测准确性为70.9%。这四个因素可以反映公司的偿付能力和偿债愿债务突出企业的信贷水平,从而影响在线融资的成功效果。

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