Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors

Shen Danna; Li Yan

doi:doi:10.11648/j.ajmse.20190402.13

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Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors

Shen Danna, Li Yan

Published in American Journal of Management Science and Engineering (Volume 4, Issue 2)

Received: 12 April 2019 Accepted: 5 June 2019 Published: 24 June 2019

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Abstract

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.

Published in	American Journal of Management Science and Engineering (Volume 4, Issue 2)
DOI	10.11648/j.ajmse.20190402.13
Page(s)	32-38
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Innovation Efficiency, Meteorological S&T, Influencing Factors

References

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Shen Danna, Li Yan. (2019). Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors. American Journal of Management Science and Engineering, 4(2), 32-38. https://doi.org/10.11648/j.ajmse.20190402.13

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ACS Style

Shen Danna; Li Yan. Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors. Am. J. Manag. Sci. Eng. 2019, 4(2), 32-38. doi: 10.11648/j.ajmse.20190402.13

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AMA Style

Shen Danna, Li Yan. Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors. Am J Manag Sci Eng. 2019;4(2):32-38. doi: 10.11648/j.ajmse.20190402.13

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@article{10.11648/j.ajmse.20190402.13,
  author = {Shen Danna and Li Yan},
  title = {Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors},
  journal = {American Journal of Management Science and Engineering},
  volume = {4},
  number = {2},
  pages = {32-38},
  doi = {10.11648/j.ajmse.20190402.13},
  url = {https://doi.org/10.11648/j.ajmse.20190402.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20190402.13},
  abstract = {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.},
 year = {2019}
}

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TY  - JOUR
T1  - Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors
AU  - Shen Danna
AU  - Li Yan
Y1  - 2019/06/24
PY  - 2019
N1  - https://doi.org/10.11648/j.ajmse.20190402.13
DO  - 10.11648/j.ajmse.20190402.13
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 32
EP  - 38
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20190402.13
AB  - 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.
VL  - 4
IS  - 2
ER  -

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Author Information

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

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APA Style

Shen Danna, Li Yan. (2019). Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors. American Journal of Management Science and Engineering, 4(2), 32-38. https://doi.org/10.11648/j.ajmse.20190402.13

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ACS Style

Shen Danna; Li Yan. Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors. Am. J. Manag. Sci. Eng. 2019, 4(2), 32-38. doi: 10.11648/j.ajmse.20190402.13

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AMA Style

Shen Danna, Li Yan. Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors. Am J Manag Sci Eng. 2019;4(2):32-38. doi: 10.11648/j.ajmse.20190402.13

Copy | Download

@article{10.11648/j.ajmse.20190402.13,
  author = {Shen Danna and Li Yan},
  title = {Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors},
  journal = {American Journal of Management Science and Engineering},
  volume = {4},
  number = {2},
  pages = {32-38},
  doi = {10.11648/j.ajmse.20190402.13},
  url = {https://doi.org/10.11648/j.ajmse.20190402.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20190402.13},
  abstract = {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.},
 year = {2019}
}

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TY  - JOUR
T1  - Analysis on Innovation Efficiency of China Meteorological Science and Technology and Its Influencing Factors
AU  - Shen Danna
AU  - Li Yan
Y1  - 2019/06/24
PY  - 2019
N1  - https://doi.org/10.11648/j.ajmse.20190402.13
DO  - 10.11648/j.ajmse.20190402.13
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 32
EP  - 38
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20190402.13
AB  - 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.
VL  - 4
IS  - 2
ER  -

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