Based On “Long Tail” Theory to Solve Finance Difficulties of SMEs with Internet Finance

Mengqi Yang, Gangzhen Wang
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Abstract

Base on the “long tail” theory put forward by Anderson, this paper analyzes the availability of Internet finance to solve the financing difficulties of small and micro enterprises (SMEs). The SMEs mentioned above is the “long tail” demanded by finance. On the one hand, the application technology of big data in the Internet can be used to identify the financing needs of “long tail” SMEs. On the other hand, with the effects of external economy, the effects of scale economy and those of scope economy exerted on the markets of the financing of SMEs, the fund supply to SMEs will increase. In traditional financial markets, the SMEs, due to the “hyper-normal” credit rationing, were often rationed out of standard financial system. As a result, the financial supply curve bent backward. However, with the rapid development of Internet finance, the rationing degree of financial credit is relieved, the financing gaps in SMEs is offset to some extent, and the allocation of financial resources is optimized, providing a new idea to solve the financing difficulties in SMEs. Finally, this paper puts forward relevant proposals about Internet finance to solve the financing difficulties of SMEs.
基于“长尾”理论的互联网金融解决中小企业融资难问题
本文以安德森的“长尾”理论为基础,分析了互联网金融解决小微企业融资难的可行性。上述中小企业就是金融所要求的“长尾”。一方面,互联网大数据的应用技术可以用来识别“长尾”中小企业的融资需求。另一方面,随着外部经济效应、规模经济效应和范围经济效应对中小企业融资市场的作用,中小企业的资金供给将会增加。在传统的金融市场中,中小企业由于“超常规”的信贷配给,往往被配给出标准的金融体系。因此,金融供给曲线向后弯曲。但随着互联网金融的快速发展,缓解了金融信贷的配给程度,在一定程度上抵消了中小企业的融资缺口,优化了金融资源的配置,为解决中小企业融资难提供了新的思路。最后,本文提出了解决中小企业融资难的互联网金融相关建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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