An Empirical Study on the Influence of Informatization Level on Regional Innovation Capability based on VAR model: Take Guangxi Zhuang Autonomous Region of China as an example.
Y. Chen, and F. Yao. ICCIR, page 470-474. ACM, (2021)
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%0 Conference Paper
%1 conf/iccir/ChenY21
%A Chen, Yongqing
%A Yao, Fang
%B ICCIR
%D 2021
%I ACM
%K dblp
%P 470-474
%T An Empirical Study on the Influence of Informatization Level on Regional Innovation Capability based on VAR model: Take Guangxi Zhuang Autonomous Region of China as an example.
%U http://dblp.uni-trier.de/db/conf/iccir/iccir2021.html#ChenY21
%@ 978-1-4503-9023-1
@inproceedings{conf/iccir/ChenY21,
added-at = {2021-08-17T00:00:00.000+0200},
author = {Chen, Yongqing and Yao, Fang},
biburl = {https://www.bibsonomy.org/bibtex/23b6c80aaf2731e6ab6f4d4ba547a70ab/dblp},
booktitle = {ICCIR},
crossref = {conf/iccir/2021},
ee = {https://doi.org/10.1145/3473714.3473795},
interhash = {c88916283339d91e411fecc49f771124},
intrahash = {3b6c80aaf2731e6ab6f4d4ba547a70ab},
isbn = {978-1-4503-9023-1},
keywords = {dblp},
pages = {470-474},
publisher = {ACM},
timestamp = {2024-04-09T23:47:04.000+0200},
title = {An Empirical Study on the Influence of Informatization Level on Regional Innovation Capability based on VAR model: Take Guangxi Zhuang Autonomous Region of China as an example.},
url = {http://dblp.uni-trier.de/db/conf/iccir/iccir2021.html#ChenY21},
year = 2021
}
