Green innovation has become an essential pathway to quality manufacturing development. This paper takes green innovation as a starting point to explore the impact of green innovation on enterprise performance and the regulatory effect of government grants, including fiscal subsidies and preferential taxation. An empirical study based on panel data of manufacturing firms listed in Shanghai and Shenzhen A-shares from 2011 to 2019 shows that green innovation contributes to improved enterprise performance. This paper studies the moderating impacts of financial subsidies and tax incentives using the Ordinary Least Squares (OLS) Model with consideration for the two-way fixed effects. The model adopts Tobin’s Q value as the explained variable and focuses on analyzing the influence mechanism of green innovation, financial subsidies, and tax incentives. Both fiscal subsidies and preferential taxation can strengthen the relationship between green innovation and enterprise performance, with the incentive effect of preferential tax being more pronounced when the two policies are pursued in parallel. In general, the regulatory impact of preferential taxation is more pronounced in high-tech manufacturing, while that of fiscal subsidies is in traditional manufacturing. Therefore, this study aims to provide reference suggestions for enterprises and governments to focus on green innovation and rationalize the use of government grants to improve enterprise performance.

The economies of all the countries are growing with the passage of time. In order to promote the businesses in the global markets, technology managers/technical brokers play a key role such as in the optimal allocation of scientific and technological resources. The industrialization of scientific and technological achievements is also possible due to optimal utilization of resources and a balance between exports and imports. The technology managers should be competent enough to bridge the gaps between the resource requirements and the availability of the resources required to run the businesses smoothly. This paper is using multi-criteria methods for analyzing the qualities in the technical managers which can assist the managers to run the businesses in an efficient manner to compete in the global markets. The interviews and questionnaire are used to collect the primary data. The opinion of experts is also considered. Then, SPSS 22.0 statistical analysis software is used to analyze the reliability and validity of the factors considered in the questionnaire. Then by using statistical techniques, a quantifiable competency model of technology managers is constructed. The multi-criteria AHP (analytical hierarchical process) method is used to compare the competency characteristic indexes of each level in pairs and quantitatively describe their importance of the criteria. It also assigns weights to judge the importance of each competency characteristic index. Since the evaluation of technical managers’ competency will be affected by various factors as mentioned in the paper, the fuzzy comprehensive evaluation method is also used to transform the evaluation dimension to accurately evaluate the competency of the technical manager which assists to judge the effectiveness of model evaluation. The proposed method provides theoretical and practical basis for the selection, evaluation, and cultivation of technical managers. It provides accuracy in results by 94% by adopting the statistical techniques.

The rapid development of Internet technology in recent years has laid a good foundation for the application of financial services in rural areas. However, due to the lack of supply and poor cognitive environment, the application of Internet based financial services has encountered difficulties in rural areas. This paper puts forward countermeasures to optimize the development of Internet finance, hoping to promote agricultural production, improve not only farmers’ lives but also rural development.

Website influence is of great value to the brand promotion of private colleges and universities. This study collects the link index and traffic index data of private university websites in China, conducts relevant analysis, sorts out the relationship between link indicators and traffic indicators, and interprets the strategies of these indicators for brand promotion of private colleges and universities combined with case analysis.