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Title: Assessing the belt and road initiative’s impact : a multi-regression model based on economic interaction
Authors: Wang, T
Xu, J
Jin, Y 
Wang, S 
Issue Date: Jun-2024
Source: Sustainability, June 2024, v. 16, no. 11, 4694
Abstract: This study examines the impact of joining the Belt and Road Initiative (BRI) on the economies of ASEAN countries, focusing on the shipping industry’s performance. Ten economic interaction indicators were analyzed using data from 2015–2022 and predicting future data for 2015–2030 through GM(1,1) and FOA-SVR models. The principal component regression (PCR) model, combined with the Analytic Hierarchy Process (AHP), assessed the correlation of these indicators with GDP and port container throughput (PCT). The findings reveal a strong correlation between economic interaction scores with China and economic and shipping performance, highlighting Chinese investment’s significant impact on GDP and shipping connectivity’s substantial influence on container throughput. This study provides a framework for quantifying organizational engagement levels and policy effectiveness
Keywords: Belt and Road Initiative
Economic interaction
Economy and shipping performance
Principal component regression
Publisher: MDPI AG
Journal: Sustainability
EISSN: 2071-1050
DOI: 10.3390/su16114694
Rights: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Wang T, Xu J, Jin Y, Wang S. Assessing the Belt and Road Initiative’s Impact: A Multi-Regression Model Based on Economic Interaction. Sustainability. 2024; 16(11):4694 is available at https://doi.org/10.3390/su16114694.
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