Industrial Demand and Innovation: An Application of Binomial Regression Model to Project Statistics of NSFC of China

Yan Tu, Jian Chu, Mohd Asif Shah and Amandeep Kaur

Mathematical Problems in Engineering, 2022, vol. 2022, 1-6

Abstract: The carbon emission reduction potential of photothermal utilization of solar energy is outstanding, but the breakthrough of technology is closely related to the management of innovation and research in higher educational institutions. What factors affect such relationship is discussed in this paper. Based on the photothermal technology project data released by the National Natural Science Foundation of China (NSFC) and China education yearbook, this paper analyzes the variable relationship between the output of solar thermal technology innovation and industrial demand. Specifically, the negative binomial regression was constructed based on the technological project approval data. The results show that the input of scientific research resources has a key influence on the development of solar thermal technology, the establishment of technological projects or the subsequent patent application derived from technological projects. The results also show that the demand for photothermal technology and green innovation complement each other.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:3222601

DOI: 10.1155/2022/3222601

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