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论文编号：	10117
作者编号：	2120162737
上传时间：	2018/6/8 21:12:11
中文题目：	创投平台的同边与跨边网络效应研究——基于VAR模型的分析
英文题目：	The Same-side and Cross-side Network Effects of Venture Capital Platforms: Based on the Analysis of VAR Model
指导老师：	任星耀
中文关键字：	同边网络效应，跨边网络效应，创投平台
英文关键字：	the same-side network effect, the cross-side network effect, the venture capital platform
中文摘要：	近年来，随着互联网经济蓬勃发展，很多企业利用信息和网络技术整合各类信息资源，通过便捷快速的互联网搭建交易平台，把产品或服务的供应方与最终需求方连接起来，为供需双方的交易提供支持性服务。这些企业是独立于产品或服务提供者（供应商）和需求者（用户）的第三方中介（如阿里巴巴），被统称为平台企业。由于这样的经营模式极大地降低了供需双方的沟通成本和交易费用，促进了双方需求的满足，因而大受供需双方的欢迎。平台企业现在已经成为了一个普遍存在的现象，影响了现如今几乎所有的行业。创投平台作为一个连接投资者和产品（创业项目）的平台，其主要任务就是吸引更多的投资者和产品，并保持双方的参与质量。本文基于平台企业和网络效应的相关研究，将投资者群体划分为高活跃度投资者和低活跃度投资者，将产品区分为平台自营产品和第三方产品，分别研究了它们对投资者增长和第三方产品增长的影响。 本文利用VAR模型对来自创投平台的数据进行了建模分析，得出的结论有：从同边网络效应的角度，第一，相比于低活跃度投资者，高活跃度投资者的规模对新投资者的增长影响更大；第二，相比于平台自营产品，第三方产品的规模对第三方产品的增长影响更大。从跨边网络效应的角度，低活跃度投资者（比高活跃度投资者）的规模对第三方产品的增长影响更大；第三方产品的规模（比平台自营产品规模）对新投资者的增长影响更大。 本文的研究成果具有重要的理论意义与管理启示：在理论意义方面，一是研究解释了创投平台的同边网络效应和跨边网络效应，弥补了目前平台企业的研究不足；二是按照活跃程度对投资者群体进行了分类，拓宽了网络效应的相关研究；三是关注了自营型平台的网络效应，弥补了现有平台网络效应在该方面的研究空白。在管理启示方面，本文的结论对创投类平台企业和自营型平台企业都有重要的指导价值。
英文摘要：	In recent years, with the rapid development of the Internet economy, many enterprises make use of information and network technology to integrate all kinds of information resources to build a trading platform through convenient and fast Internet. The platforms provide support services for the transaction of both supply and demand by connecting the supply side of products or services with end consumers. These enterprises are third party intermediaries (such as Alibaba) independent from product or service providers and consumers, and are collectively referred to as platform enterprises. Because such a business model greatly reduces the communication cost and transaction cost of both sides of users, and promotes user satisfaction. This kind of model has been greatly welcomed by users of both sides. Platform enterprises have become a ubiquitous phenomenon, affecting almost all industries nowadays. As a platform to connect investors and products (start-ups), the main task of the venture platform is to attract more investors and products and to maintain the quality of matching. Based on the literature on network effects, this paper divides the investor group into active and non-active investors, and divides the product into platform self-operated and third-party products, and studies their impact on the growth of investors and the growth of third party products respectively. Through the analysis of the VAR model from the data of the venture capital platform, the conclusions are as follows: from the perspective of the same-network effect, first, compared to the non-active investors, the scale of active investors has a greater impact on the growth of the new investors; second, compared to the platform self-operated products, the scale of the third-party products has a greater impact on the growth of the third-party products. From the perspective of the cross-side network effect, the scale of non-active investors (compared to active investors) has greater impact on the growth of third-party products; the scale of third-party products (compared to the platform self-operated products) has a greater impact on the growth of new investors. The results of this paper have important theoretical and managerial implications: first, the research explains the same-side network effect and the cross-side network effect of the venture capital platform which is void in the existing platform research. Second, the author classifies the investor groups according to the activity level, broadening the related research on network effects; Third, this paper pays attention to the network effects of self-operated platforms, which fills in the gap of the existing research. In terms of management implications, it has important guiding value venture capital platforms and self-operated platforms.
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