How to build a collaborative mechanism of scientific and technological innovation and development in Guangdong-Hong Kong-Macao Greater Bay Area (abbreviation: the Greater Bay Area (GBA)) is undoubtedly an important link in building a world-class scientific and technological innovation center. Based on the panel data of 11 cities in GBA from 2012 to 2020, this paper empirically tests the influence of GBA financial agglomeration on the technological innovation efficiency of high-tech enterprises by using SDM (Spatial Dubin Model) model, starting from the innovative effect of financial agglomeration and considering two weight matrices of geographical distance and economic distance. The research results show that the regression results of GBA's SDM model show that the autocorrelation coefficients under zero to one adjacency weight matrix and geo-economic distance weight matrix both exceed the significance levels of 1% and 10%, which shows that there is obvious correlation between the technical development efficiency of GBA's high-tech industries, but they are not independent of each other. The level of economic development in different regions and stages is quite different. The results show that, at the significant level of 1%, financial agglomeration has a greater role in promoting the efficiency of technological innovation.
Assessment of innovation ability is an important basis for higher vocational education and teaching decision-making, and effective assessment of innovation ability depends on comprehensive and reliable assessment data. Multi-assessment system of instructional level refers to a series of methods to assess teachers' teaching process and effect in unstructured teaching situation by using various effective technical means and assessment methods. With modern quality management theory, the contents and methods of multi-assessment are arranged and implemented by multi-assessment subjects. Based on the background of tertiary education and the comprehensive assessment of teachers' innovation ability in vocational schools, this article applies data mining technology to explore and discover the practical knowledge of teaching assessment in vocational schools. The results show that the consistency between the proposed algorithm and the manual processing method can reach more than 95%, that is, the accuracy of the algorithm is more than 95%, which shows that the assessment algorithm of teachers' innovation ability in this article has good performance. This algorithm reduces the influence of subjective factors in assessment, and makes the assessment results more objective and accurate, so it has strong application value.
Many investors have begun to pay attention to the business environment, and the business environment has also become a key factor in attracting foreign investment. After improving human resources and optimizing the ecological environment, the inflow of foreign direct investment has been accelerated. Therefore, the reform of the business environment needs to be promoted at different levels to attract more foreign investment.
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