Please use this identifier to cite or link to this item: https://doi.org/10.1177/21582440211032662
Title: Quantitative Dynamics Effects of Belt and Road Economies Trade Using Structural Gravity and Neural Networks
Authors: Dumor, Koffi
Yao, Li 
Ainam, Jean-Paul
Amouzou, Edem Koffi
Ayivi, Williams
Keywords: Belt and Road Initiative
international trade
neural networks
panel structural gravity estimation
Poisson pseudo maximum likelihood estimation
Issue Date: 1-Jul-2021
Publisher: SAGE Publications Inc.
Citation: Dumor, Koffi, Yao, Li, Ainam, Jean-Paul, Amouzou, Edem Koffi, Ayivi, Williams (2021-07-01). Quantitative Dynamics Effects of Belt and Road Economies Trade Using Structural Gravity and Neural Networks. SAGE Open 11 (3). ScholarBank@NUS Repository. https://doi.org/10.1177/21582440211032662
Rights: Attribution 4.0 International
Abstract: Recent research suggests that China’s Belt and Road Initiative (BRI) would improve the bilateral trade between China and its partners. This article uses detailed bilateral export data from 1990 to 2017 to investigate the impact of China’s BRI on its trade partners using neural network analysis techniques and structural gravity model estimations. Our main findings suggest that the BRI countries would raise exports by a modest 5.053%. This indicates that export and network upgrades should be considered from economic and policy perspectives. The results also show that neural networks is more robust compared with structural gravity framework. © The Author(s) 2021.
Source Title: SAGE Open
URI: https://scholarbank.nus.edu.sg/handle/10635/232858
ISSN: 2158-2440
DOI: 10.1177/21582440211032662
Rights: Attribution 4.0 International
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