Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis

10.3390/su11051449

Saved in:

Bibliographic Details
Main Authors:	Dumor, K., Yao, L.
Other Authors:	EAST ASIAN INSTITUTE
Format:	Article
Published:	MDPI AG 2021
Subjects:	Belt and road initiative Gravity model Neural network analysis Trade
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/209993
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-209993
record_format	dspace
spelling	sg-nus-scholar.10635-2099932023-10-31T09:04:39Z Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis Dumor, K. Yao, L. EAST ASIAN INSTITUTE Belt and road initiative Gravity model Neural network analysis Trade 10.3390/su11051449 Sustainability (Switzerland) 11 5 1449 2021-12-09T03:05:45Z 2021-12-09T03:05:45Z 2019 Article Dumor, K., Yao, L. (2019). Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis. Sustainability (Switzerland) 11 (5) : 1449. ScholarBank@NUS Repository. https://doi.org/10.3390/su11051449 2071-1050 https://scholarbank.nus.edu.sg/handle/10635/209993 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ MDPI AG Scopus OA2019
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Belt and road initiative Gravity model Neural network analysis Trade
spellingShingle	Belt and road initiative Gravity model Neural network analysis Trade Dumor, K. Yao, L. Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis
description	10.3390/su11051449
author2	EAST ASIAN INSTITUTE
author_facet	EAST ASIAN INSTITUTE Dumor, K. Yao, L.
format	Article
author	Dumor, K. Yao, L.
author_sort	Dumor, K.
title	Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis
title_short	Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis
title_full	Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis
title_fullStr	Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis
title_full_unstemmed	Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis
title_sort	estimating china's trade with its partner countries within the belt and road initiative using neural network analysis
publisher	MDPI AG
publishDate	2021
url	https://scholarbank.nus.edu.sg/handle/10635/209993
_version_	1781792886481747968

Estimating China's trade with its partner countries within the belt and road initiative using neural network analysis

Similar Items