As creative deviance can improve organizational innovation ability and competitiveness effectively, scholars have recently paid much attention to this innovative manner. This paper examines the mechanism between career calling and creative deviance based on 304 surveyed samples via a cross-temporal questionnaire. The results show that employees’ career calling exerts a significant positive impact on their creative deviance, and employee creativity plays a mediating role in this relationship. Furthermore, ethical leadership positively moderates the relationship between career calling and employee creativity as well as the relationship between career calling and creative deviance.

The quality of personnel training in the local applied undergraduate institute does not deserve guarantee because of all sorts of constraint factors such as the students' quality, teachers' quality and development orientation etc. It's a difficulty and chance for local applied undergraduate institute that they train the necessity personnel fit for society development in the shifting condition of economy and society. Accordingly, the collaborative innovation mechanisms of government, industries(or firms) and colleges(research institutes) are researched through the important aspects including interest relation and driving, knowledge increment, demand driving, achievements attracting and the government promoting firstly. Secondly, the collaborative innovation patterns of government, industries (or firms) and universities (research institutes) are analyzed from design platform of the combination of collaborative innovation, industrial clusterdiscipline construction and technical alliance. The governmentindustries-universities-research collaborative innovation mechanism can clear personnel training objectives and model and form an unique professional orientation and training model for the needs of the community. The Innovation of this paper is to blend into the combination of the role of government common in collaborative innovation, government plays a greater role in industries-universities-research. It's a developing tendency and a kind of progress for the local applied undergraduate institute from the perspective of talent cultivation. The local applied undergraduate institute can help to solve the local economy and science and technology problems, he is the important person of the realization of technology transfer and the transformation of achievements.

This paper adopts a random matrix approach to model spatial panel data and applies the model to the analysis of regional economic disparity. A panel data clustering method based on variable influence and response structural relationship clustering is proposed to define the structural relationship distance, cluster the panel data from the structural relationship so that the data within the class have the same structural relationship, and give the specific algorithm for determining the classification number in the clustering process based on the structural relationship. The methods of clustering panel data with the presence of linear, nonlinear, and functional relationships are considered separately to aggregate and classify the panel data in terms of the structural relationships of parameters. Using the classification modeling approach proposed in this paper, the empirical analysis is better than the estimation effect in the case of no classification; the empirical test data also show that there is a strong cross-sectional correlation between the economic and financial development data of different regions, and the estimation effect of the model with the correlation treatment is better than the estimation effect of the model without the correlation treatment. The study finds that there is a significant imbalance between financial and economic development, the phenomenon of financial exclusion is serious, and the dynamic influence relationship between financial and economic development in relatively less developed regions is different from that between financial development and economic development in relatively developed regions. In addition to the influencing factors, we should improve the efficiency of investment utilization, give better play to the geographical advantages, keep the industrial structure rationalized, develop the special economy according to the local conditions, and give full play to the spatial effect as well as improve the economic development.