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Analysis on regional difference of meteorological S&T innovation capability in China
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| Zeitschriftentitel: | IOP Conference Series: Materials Science and Engineering |
|---|---|
| Personen und Körperschaften: | , |
| In: | IOP Conference Series: Materials Science and Engineering, 715, 2020, 1, S. 012041 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
IOP Publishing
|
| author_facet |
Shen, Danna Li, Yan Shen, Danna Li, Yan |
|---|---|
| author |
Shen, Danna Li, Yan |
| spellingShingle |
Shen, Danna Li, Yan IOP Conference Series: Materials Science and Engineering Analysis on regional difference of meteorological S&T innovation capability in China |
| author_sort |
shen, danna |
| spelling |
Shen, Danna Li, Yan 1757-8981 1757-899X IOP Publishing http://dx.doi.org/10.1088/1757-899x/715/1/012041 <jats:title>Abstract</jats:title> <jats:p>This paper selects the relevant meteorological data in 2014-2017 of the seven regions of Chinese mainland divided in accordance with the administrative area to construct the index system of meteorological S&T innovation capability, and then by means of Entropy TOPSIS method to get the values of C<jats:sub>i</jats:sub> of the seven regions, and finally calculates the coefficient of variation of those C<jats:sub>i</jats:sub> values based on the analysis of the meteorological S&T innovation capability, the innovation environment, the innovation input and output to analyze the developmental differences across regions. The results of this research prove that from 2014 to 2017, the meteorological S&T innovation ability of South China, North China and East China was relatively strong, while that of other regions was relatively weak. Besides, the meteorological S&T innovation ability of each region fluctuated in different years, but by 2017, the differences in innovation ability of meteorological S&T among regions were narrowing.</jats:p> Analysis on regional difference of meteorological S&T innovation capability in China IOP Conference Series: Materials Science and Engineering |
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IOP Publishing, 2020 |
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IOP Publishing, 2020 |
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| title |
Analysis on regional difference of meteorological S&T innovation capability in China |
| title_unstemmed |
Analysis on regional difference of meteorological S&T innovation capability in China |
| title_full |
Analysis on regional difference of meteorological S&T innovation capability in China |
| title_fullStr |
Analysis on regional difference of meteorological S&T innovation capability in China |
| title_full_unstemmed |
Analysis on regional difference of meteorological S&T innovation capability in China |
| title_short |
Analysis on regional difference of meteorological S&T innovation capability in China |
| title_sort |
analysis on regional difference of meteorological s&t innovation capability in china |
| url |
http://dx.doi.org/10.1088/1757-899x/715/1/012041 |
| publishDate |
2020 |
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012041 |
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<jats:title>Abstract</jats:title>
<jats:p>This paper selects the relevant meteorological data in 2014-2017 of the seven regions of Chinese mainland divided in accordance with the administrative area to construct the index system of meteorological S&T innovation capability, and then by means of Entropy TOPSIS method to get the values of C<jats:sub>i</jats:sub> of the seven regions, and finally calculates the coefficient of variation of those C<jats:sub>i</jats:sub> values based on the analysis of the meteorological S&T innovation capability, the innovation environment, the innovation input and output to analyze the developmental differences across regions. The results of this research prove that from 2014 to 2017, the meteorological S&T innovation ability of South China, North China and East China was relatively strong, while that of other regions was relatively weak. Besides, the meteorological S&T innovation ability of each region fluctuated in different years, but by 2017, the differences in innovation ability of meteorological S&T among regions were narrowing.</jats:p> |
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| _version_ | 1792322615679909892 |
| author | Shen, Danna, Li, Yan |
| author_facet | Shen, Danna, Li, Yan, Shen, Danna, Li, Yan |
| author_sort | shen, danna |
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| container_start_page | 0 |
| container_title | IOP Conference Series: Materials Science and Engineering |
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| description | <jats:title>Abstract</jats:title> <jats:p>This paper selects the relevant meteorological data in 2014-2017 of the seven regions of Chinese mainland divided in accordance with the administrative area to construct the index system of meteorological S&T innovation capability, and then by means of Entropy TOPSIS method to get the values of C<jats:sub>i</jats:sub> of the seven regions, and finally calculates the coefficient of variation of those C<jats:sub>i</jats:sub> values based on the analysis of the meteorological S&T innovation capability, the innovation environment, the innovation input and output to analyze the developmental differences across regions. The results of this research prove that from 2014 to 2017, the meteorological S&T innovation ability of South China, North China and East China was relatively strong, while that of other regions was relatively weak. Besides, the meteorological S&T innovation ability of each region fluctuated in different years, but by 2017, the differences in innovation ability of meteorological S&T among regions were narrowing.</jats:p> |
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| imprint | IOP Publishing, 2020 |
| imprint_str_mv | IOP Publishing, 2020 |
| institution | DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161 |
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| publisher | IOP Publishing |
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| recordtype | ai |
| series | IOP Conference Series: Materials Science and Engineering |
| source_id | 49 |
| spelling | Shen, Danna Li, Yan 1757-8981 1757-899X IOP Publishing http://dx.doi.org/10.1088/1757-899x/715/1/012041 <jats:title>Abstract</jats:title> <jats:p>This paper selects the relevant meteorological data in 2014-2017 of the seven regions of Chinese mainland divided in accordance with the administrative area to construct the index system of meteorological S&T innovation capability, and then by means of Entropy TOPSIS method to get the values of C<jats:sub>i</jats:sub> of the seven regions, and finally calculates the coefficient of variation of those C<jats:sub>i</jats:sub> values based on the analysis of the meteorological S&T innovation capability, the innovation environment, the innovation input and output to analyze the developmental differences across regions. The results of this research prove that from 2014 to 2017, the meteorological S&T innovation ability of South China, North China and East China was relatively strong, while that of other regions was relatively weak. Besides, the meteorological S&T innovation ability of each region fluctuated in different years, but by 2017, the differences in innovation ability of meteorological S&T among regions were narrowing.</jats:p> Analysis on regional difference of meteorological S&T innovation capability in China IOP Conference Series: Materials Science and Engineering |
| spellingShingle | Shen, Danna, Li, Yan, IOP Conference Series: Materials Science and Engineering, Analysis on regional difference of meteorological S&T innovation capability in China |
| title | Analysis on regional difference of meteorological S&T innovation capability in China |
| title_full | Analysis on regional difference of meteorological S&T innovation capability in China |
| title_fullStr | Analysis on regional difference of meteorological S&T innovation capability in China |
| title_full_unstemmed | Analysis on regional difference of meteorological S&T innovation capability in China |
| title_short | Analysis on regional difference of meteorological S&T innovation capability in China |
| title_sort | analysis on regional difference of meteorological s&t innovation capability in china |
| title_unstemmed | Analysis on regional difference of meteorological S&T innovation capability in China |
| url | http://dx.doi.org/10.1088/1757-899x/715/1/012041 |