How China’s Global Trade Expansion Shapes Transport-Sector CO2 Emissions: An Export-Driven Analytical Perspective

China’s export-oriented economic expansion has substantially influenced transport-sector CO2 emissions, raising critical concerns about the environmental impacts of sustained industrial growth and global trade integration. Understanding the interplay between macroeconomic dynamics, trade composition, and industrial structure is essential for aligning economic development with climate mitigation objectives. This study examines transport-related CO2 emissions in China over the period 1990–2023, employing a hybrid methodological framework that combines econometric modeling—including Autoregressive Distributed Lag (ARDL) bounds testing, Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS)—with machine-learning techniques using Extreme Gradient Boosting (XGBoost) interpreted through SHapley Additive exPlanations (SHAP). The analysis confirms a long-run cointegration relationship between transport emissions and the selected macroeconomic variables. Short-run dynamics indicate a strong sensitivity of emissions to GDP growth, while long-run estimates reveal that higher export-to-GDP ratios and industrial value added contribute to reducing transport emissions, reflecting the efficiency gains from industrial upgrading and cleaner trade practices. By contrast, the expansion of medium- and high-technology exports increases emissions due to the energy- and logistics-intensive nature of high-value goods. The XGBoost model achieves high predictive performance, with an out-of-sample R2 of 0.9975 and a Root Mean Square Error (RMSE) of 87.16, confirming the dominant contribution of medium- and high-technology exports to transport-sector emissions. The results underscore the critical role of aligning trade structure, industrial productivity, and low-carbon logistics within China’s policy agenda. Implementing strategies that enhance industrial energy efficiency and develop sustainable transport infrastructure can substantially reduce the environmental impacts associated with export-driven economic expansion.

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Publication Details

Journal
Sustainability
Published
2026-02-25
DOI
https://doi.org/10.3390/su18052192
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

How China’s Global Trade Expansion Shapes Transport-Sector CO2 Emissions: An Export-Driven Analytical Perspective

Dragan Gligorić, Ramil I. Hasanov, Dejan Mikerević, Veljko Dmitrović et al.
Sustainability
Energy, Environment, Economic Growth
article

How China’s Global Trade Expansion Shapes Transport-Sector CO2 Emissions: An Export-Driven Analytical Perspective

Dragan Gligorić, Ramil I. Hasanov, Dejan Mikerević, Veljko Dmitrović, Bangfan Liu, Sadig Gachayev, Sinisa Rajkovic
article en

Abstract

China’s export-oriented economic expansion has substantially influenced transport-sector CO2 emissions, raising critical concerns about the environmental impacts of sustained industrial growth and global trade integration. Understanding the interplay between macroeconomic dynamics, trade composition, and industrial structure is essential for aligning economic development with climate mitigation objectives. This study examines transport-related CO2 emissions in China over the period 1990–2023, employing a hybrid methodological framework that combines econometric modeling—including Autoregressive Distributed Lag (ARDL) bounds testing, Fully Modified Ordinary Least Squares (FMOLS), and Dynamic Ordinary Least Squares (DOLS)—with machine-learning techniques using Extreme Gradient Boosting (XGBoost) interpreted through SHapley Additive exPlanations (SHAP). The analysis confirms a long-run cointegration relationship between transport emissions and the selected macroeconomic variables. Short-run dynamics indicate a strong sensitivity of emissions to GDP growth, while long-run estimates reveal that higher export-to-GDP ratios and industrial value added contribute to reducing transport emissions, reflecting the efficiency gains from industrial upgrading and cleaner trade practices. By contrast, the expansion of medium- and high-technology exports increases emissions due to the energy- and logistics-intensive nature of high-value goods. The XGBoost model achieves high predictive performance, with an out-of-sample R2 of 0.9975 and a Root Mean Square Error (RMSE) of 87.16, confirming the dominant contribution of medium- and high-technology exports to transport-sector emissions. The results underscore the critical role of aligning trade structure, industrial productivity, and low-carbon logistics within China’s policy agenda. Implementing strategies that enhance industrial energy efficiency and develop sustainable transport infrastructure can substantially reduce the environmental impacts associated with export-driven economic expansion.

SustainabilityVol. 18(5)
University of Banja Luka (BA), Azerbaijan State Agricultural University (AZ), Yanshan University (CN), University of Belgrade (RS), Azerbaijan State University of Economics (AZ), Public Health Institute of the Republic of Srpska (BA), Univerzitet Za Poslovne Studije (BA)
Openalex Percentile: Top 47%
Energy, Environment, Economic Growth
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