Entrepreneurial Business Incubator Network’s Risk Measurement And Evaluation Based On SVR

We are now in the economic restructuring period. As a new social and economicorganization which plays an important role in high tech industrial development, scientific andtechnological achievements transformation, medium or small business and regional economydevelopment, incubator is receiving increasing widespread attention in the community.Business incubator has developed well in China, showing a networking trend. Although thereis little systematic research about risk identification, evaluation and control from theperspective of incubator network. But because the incubated enterprises in the incubatorshave traits of large scale investment, involving many disciplines, high tech with intensive,uncertainty, innovation ect, they have a high risk characteristic. At the same time, the riskgets relativity. The same risk may have different effects on different topics or themes ofdifferent stages. Because of this, it is hard for people to get relatively complete and accurateinformation on this process, that is to say, the information is incomplete. Thus, acomprehensive risk management on incubator network system is an urgent event. For onething, incubator network can lower the risk of technology start ups and incubators throughresourse sharing and scale effect. For another, the networking of incubators will create morerisks according to the risk conduction theory. Because parts of incubated enterprises fail tohatch, this may lead to the risk of failure of the entire incubator network one after another, andthen prompt the collapse of the whole network system. Therefore the study of incubatornetwork risk management has got some theoretical and practical value.On the basis of systematic analysis of entrepreneurial enterprise incubator network andanalysing relevant theory, we combine the field surveys, and make a systematic study on theentrepreneurial business incubator network structure and their membership. What’s more,take the development of venture business incubator network case of the Development Zone inGuangzhou as an example, we carry an empirical study of entrepreneurial business incubatornetwork structure properties, risk measurement, risk evaluation. The main work andinnovation are as follows.First of all, through the study of complex network theory, this essayfirstly proposes using the complex network theory to build the entrepreneurial businessincubator network, and define the concept. Secondly, we make the definition of systematicrisk of entrepreneurial business incubator network basing on equity investment model, usingthe Semi Variance method to study the risk of network system for quantitative measurement.Furthermore, after the measurement on the risk of the network system, we identify risk for thekey node in the network, aiming at establishing the appropriate risk assessment system, and use the Support Vector Regression to predict their risk. All of these play a key role inpreventing the risk of network system. Finally, through field research on the incubatornetwork of Development Zone in Guangzhou, we finish the empirical research of the riskmeasurement and evaluation.