Impact of Financial R&D Resource Allocation Efficiency Based on VR Technology and Machine Learning in Complex Systems on Total Factor Productivity
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-28
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
With the development of the globalization of science and technology, innovation has become an important driving force for regional economic development.
As a core element of regional innovation, financial R&D resources have also become a key element to enhance national innovation capabilities and national economic competitiveness.
National and regional innovation capabilities have a direct impact.
There are also many deep-seated problems behind the world-renowned achievements, such as irrational industrial structure, insufficient independent innovation capabilities, low resource utilization efficiency, and the service quality and efficiency of financial institutions for the transformation of total factor productivity.
These problems extremely restrict the efficiency upgrade and further development of our country’s total factor productivity.
This study uses the DEA-Malmquist index model to measure the efficiency of fiscal R&D resource allocation in 28 provinces and regions in China in the past 10 years and uses Mapinfo12.0 software to analyze regional differences in the efficiency of fiscal R&D resource allocation in China from a spatial perspective.
During the year, the overall R&D resource allocation efficiency of 28 provinces and autonomous regions in China has shown an upward trend.
The efficiency of fiscal R&D resource allocation and the concentration of financial factors have had a positive impact on total factor productivity, transform and upgrade factors, increase total factor productivity, and provide empirical evidence for building a strong country.
American Psychological Association (APA)
Sun, Hui& Zhong, Xiong. 2020. Impact of Financial R&D Resource Allocation Efficiency Based on VR Technology and Machine Learning in Complex Systems on Total Factor Productivity. Complexity،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1143203
Modern Language Association (MLA)
Sun, Hui& Zhong, Xiong. Impact of Financial R&D Resource Allocation Efficiency Based on VR Technology and Machine Learning in Complex Systems on Total Factor Productivity. Complexity No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1143203
American Medical Association (AMA)
Sun, Hui& Zhong, Xiong. Impact of Financial R&D Resource Allocation Efficiency Based on VR Technology and Machine Learning in Complex Systems on Total Factor Productivity. Complexity. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1143203
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143203