Correlation and Influencing Factors of Technology Transfer and Independent Innovation Based on the Data Acquisition and Monitoring System

Author:

Wang Lin1ORCID

Affiliation:

1. Haikou University of Economics, Haikou, Hainan 571127, China

Abstract

Since 2007, China’s economic growth has slowed down. China’s economic growth rate is declining. Demand stimulus is ineffective. Therefore, it emphasizes the important role of technology transfer and independent innovation. The main socio-economic incentives for technology transfer and independent innovation today are the development of electronic technology, computer technology, and communication technology. Monitoring systems are more and more widely used in related fields. The processing of data sources is to meet the needs of real-time data collection and monitoring. The following conclusions are drawn through theoretical analysis and empirical research. The spatial technology transfer coefficients in the eastern, central, and western regions are positive, reaching 0.2129, 0.1639, and 0.2829, respectively, passing the 10%, 1%, and 5% significance tests, respectively. This shows that the regional independent innovation potential can also support the improvement of the independent innovation potential of regions with similar economic and social conditions. Industrial transfer can not only improve the independent innovation potential of the region but also increase the independent innovation potential of neighboring regions and regions with similar economic and social conditions due to the spatial effect. The impact of industrial transfer on the capability of independent innovation varies from region to region. The role of industrial spillover effects in the eastern region in enhancing the capability of independent innovation is greater than that in the western region. However, in the central region, the industrial spillover effect has no significant impact on the capability of independent innovation. The data collection and monitoring system has greatly improved the efficiency and accuracy of the research on the correlation between industrial transfer and independent innovation.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

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