Impact of go global strategy on green growth in bri and non-bri economies: Evidence from a double machine learning approach

As a key stakeholder in global economic and environmental progress, China plays a pivotal role in advancing sustainability. This study examines China's Go Global (GG) strategy impact on green growth (GRG) across BRI and non-BRI economies from 2000 to 2023. The findings from double machine learning (DML) and traditional econometric methods indicate that the GG strategy significantly enhances GRG in BRI and non-BRI economies. These findings are further validated through the absence of endogeneity issues and robustness checks. Meanwhile, green initiatives like BRIGC, BRF, and BRI are instrumental in linking the GG strategy and GRG. Moreover, considering aggregate analysis and excluding global major shocks (i.e., the COVID-19 pandemic, the US-China trade war, and the global financial crisis) confirms that the GG strategy consistently promotes GRG, highlighting its resilience and effectiveness. Policymakers should integrate sustainable practices into infrastructure and transport, enhance biodiversity finance, and prioritize green energy and green innovation through expanded green financing to support green growth (SDG 8) across BRI and non-BRI countries.

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Publication Details

Journal
Journal of Environmental Management
Published
2025-10-09
DOI
https://doi.org/10.1016/j.jenvman.2025.127418
Citations
4
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
12.52
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article

Impact of go global strategy on green growth in bri and non-bri economies: Evidence from a double machine learning approach

Yangjie Wang, Riazullah Shinwari, Irfan Saleem, Zhou Junjun
4 citations
Journal of Environmental Management
Energy, Environment, Economic Growth
12.52
article

Impact of go global strategy on green growth in bri and non-bri economies: Evidence from a double machine learning approach

Yangjie Wang, Riazullah Shinwari, Irfan Saleem, Zhou Junjun
article en
4 citations

Abstract

As a key stakeholder in global economic and environmental progress, China plays a pivotal role in advancing sustainability. This study examines China's Go Global (GG) strategy impact on green growth (GRG) across BRI and non-BRI economies from 2000 to 2023. The findings from double machine learning (DML) and traditional econometric methods indicate that the GG strategy significantly enhances GRG in BRI and non-BRI economies. These findings are further validated through the absence of endogeneity issues and robustness checks. Meanwhile, green initiatives like BRIGC, BRF, and BRI are instrumental in linking the GG strategy and GRG. Moreover, considering aggregate analysis and excluding global major shocks (i.e., the COVID-19 pandemic, the US-China trade war, and the global financial crisis) confirms that the GG strategy consistently promotes GRG, highlighting its resilience and effectiveness. Policymakers should integrate sustainable practices into infrastructure and transport, enhance biodiversity finance, and prioritize green energy and green innovation through expanded green financing to support green growth (SDG 8) across BRI and non-BRI countries.

Journal of Environmental ManagementVol. 394
Central South University (CN), University of Bradford (GB)
Openalex Percentile: Top 2%
Energy, Environment, Economic Growth
12.52
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Impact of go global strategy on green growth in bri and non-bri economies: Evidence from a double machine learning approach — Yangjie Wang, Riazullah Shinwari, et al. · Journal of Environmental Management (2025) | TGRS Research Map | TGRS