Carbon cost analysis in the export value chain of Vietnam’s textile and footwear industry
0
Online Published:
03/08/2026
Section:
Economics and Economic Management
Main Article Content
Abstract
The research is motivated by the escalating influence of global green barriers, such as the EU’s CBAM, on Vietnam’s main exports. More particularly, this study offers an empirical analysis of how carbon costs on the export performance of Vietnam’s textile and footwear industries from 2010 to 2025. To accomplish this, the analysis utilizes a dual-model methodology, integrating Panel Random Forest and Lasso regression for dataset examination. This approach effectively identifies complex, non-linear relationships and the direct influence that CO2 emissions and carbon pricing have on one another. Our data shows that emissions are the principal determinant of export value, although the interplay between emissions and carbon prices creates a significant downward pressure (-949.400). Based on these results, we suggest that Vietnamese firms should fast-track green technology investments to stay competitive in high – standard markets. However, a significant constraint is the dependence on generalized industry data owing to accessibility challenges. Overall, this paper establishes a useful framework to measure environmental barriers, a topic that has not been widely explored in domestic literature.
Keywords
CO2 emissions; textile and footwear; green transition; CBAM
Article Details
Field of Economic (JEL Codes)
B52 - Historical • Institutional • Evolutionary • Modern Monetary Theory - Current Heterodox Approaches, F18 - Trade and Environment - Trade, L67 - Other Consumer Nondurables: Clothing, Textiles, Shoes, and Leather Goods; Household Goods; Sports Equipment - Industry Studies: Manufacturing
References
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How to Cite
Hang, A. P. L. T. T., Nguyen, T. D., Dien, K. B. T., Bui, T. B. N., Nguyen, T. T. T., & Nguyen, T. H. N. (2026). Carbon cost analysis in the export value chain of Vietnam’s textile and footwear industry. Journal of Finance - Marketing Research, 4(5). https://doi.org/10.52932/jfmr.v4i5.1341