Quantitative Dynamics Effects of Belt and Road Economies Trade Using Structural Gravity and Neural Networks
| Autor: | Williams Ayivi, Li Yao, Edem Koffi Amouzou, Koffi Dumor, Jean-Paul Ainam |
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| Rok vydání: | 2021 |
| Předmět: |
Gravity (chemistry)
Artificial neural network General Arts and Humanities 05 social sciences Social Sciences General Social Sciences International economics 010501 environmental sciences 01 natural sciences Bilateral trade AZ20-999 0502 economics and business Economics History of scholarship and learning. The humanities 050207 economics China 0105 earth and related environmental sciences |
| Zdroj: | SAGE Open, Vol 11 (2021) |
| ISSN: | 2158-2440 |
| DOI: | 10.1177/21582440211032662 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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