2020
DOI: 10.3390/su12187433
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The United States’ Clothing Imports from Asian Countries along the Belt and Road: An Extended Gravity Trade Model with Application of Artificial Neural Network

Abstract: In 2013, China announced the Belt and Road Initiative (BRI), which aims to promote the connectivity of Asia, Europe, and Africa and deepen mutually beneficial economic cooperation among member countries. Past studies have reported a positive impact of the BRI on trade between China and its partner countries along the Belt and Road (B&R). However, less is known about its effect on the sectoral trade between the B&R countries and countries that show little support of the BRI. To address that gap, this st… Show more

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Cited by 11 publications
(13 citation statements)
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“…Our preliminary results show the main findings below: The neural network (NN) has a high degree of accuracy in prediction compared with the SGM in terms of root mean square error (RMSE), which is in line with Wohl and Kennedy (2018) and Ho et al (2020). China’s trade growth effects slightly increase over time under the BRI pointing to the importance of using panel data for trade policy evaluation.…”
Section: Introductionsupporting
confidence: 80%
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“…Our preliminary results show the main findings below: The neural network (NN) has a high degree of accuracy in prediction compared with the SGM in terms of root mean square error (RMSE), which is in line with Wohl and Kennedy (2018) and Ho et al (2020). China’s trade growth effects slightly increase over time under the BRI pointing to the importance of using panel data for trade policy evaluation.…”
Section: Introductionsupporting
confidence: 80%
“…The BRI was officially launched in 2013; however, projects started years earlier are often considered (Hillman, 2018; Ho et al, 2020; Huang & Li, 2020). The analysis covers a panel data set of 163 countries over the years 1990 to 2017.…”
Section: Methodsmentioning
confidence: 99%
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