Data-driven zero-carbon transition analysis in the industrial and manufacturing sectors: A world-regional perspective

Document Type

Journal Article

Publication Title

International Journal of Logistics Research and Applications

Publisher

Taylor & Francis

School

School of Busines and Law

RAS ID

60176

Comments

Bui, T. D., Ardaniah, V., Zhu, Q., Iranmanesh, M., & Tseng, M. L. (2023). Data-driven zero-carbon transition analysis in the industrial and manufacturing sectors: a world-regional perspective. International Journal of Logistics Research and Applications, advance online publication. https://doi.org/10.1080/13675567.2023.2212622

Abstract

This study contributes to concerning data-driven zero-carbon transition in the industrial and manufacturing sectors. Zero-carbon transition ensures that regions meet energy system provisions, are resilient to climate change, and adopt transition assessments toward the goal of low or zero carbon. Prior studies have failed to (1) generate these attributes from databases and confirm the validity of prominent attributes, (2) build a hierarchical model with an interrelationship from the world-regional perspective, and (3) determine the vital attributes representing knowledge gaps for zero-carbon transition. The proposed hybrid method is employed to obtain attributes from a database and is based on the literature. The results indicate that energy system provisions, low-carbon transition assessment and resilience in terms of climate change adaptation are significant in directing zero-carbon transition studies and challenges. This study shows that Asia and Oceania, Latin America and the Caribbean need to improve their zero-carbon transition performance.

DOI

10.1080/13675567.2023.2212622

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