Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors
American Journal of Management Science and Engineering
Volume 4, Issue 2, March 2019, Pages: 32-38
Received: Apr. 12, 2019;
Accepted: Jun. 5, 2019;
Published: Jun. 24, 2019
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Shen Danna, Development and Research Center, China Meteorological Administration, Beijing, China
Li Yan, School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, China
Based on the meteorological statistics from 2014 to 2017, this paper adopts the DEA-Tobit Two Step method to estimate the innovation efficiency of China meteorological science and technology and then analyses its influencing factors. It is found that during 2014-2017, Beijing has been at the forefront in innovation efficiency of meteorological S&T, followed by Tianjin. Some other provinces and cities have a decline in technology efficiency. Therefore, pure technology inefficiency still remains a major problem faced by most provinces and cities. Meanwhile, it also reveals that innovation efficiency of meteorological S&T is significantly and positively impacted by scientific research input and academic structure, but without any significant linear interrelationship with economic development and government influence.
Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors, American Journal of Management Science and Engineering.
Vol. 4, No. 2,
2019, pp. 32-38.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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