TY - JOUR
T1 - Data-driven zero-carbon transition analysis in the industrial and manufacturing sectors
T2 - a world-regional perspective
AU - Bui, Tat Dat
AU - Ardaniah, Viqi
AU - Zhu, Qinghua
AU - Iranmanesh, Mohammad
AU - Tseng, Ming Lang
N1 - Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Zero-carbon transition
KW - data-driven analysis
KW - entropy weight method
KW - fuzzy Delphi method
KW - fuzzy decision-making trial and evaluation laboratory
KW - industrial and manufacturing sectors
UR - http://www.scopus.com/inward/record.url?scp=85159258108&partnerID=8YFLogxK
U2 - 10.1080/13675567.2023.2212622
DO - 10.1080/13675567.2023.2212622
M3 - Article
AN - SCOPUS:85159258108
SN - 1367-5567
VL - 27
SP - 2426
EP - 2465
JO - International Journal of Logistics Research and Applications
JF - International Journal of Logistics Research and Applications
IS - 12
ER -