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The pathways and challenges of the green transition in heavy-duty trucks in China

Yang, Xinyi LU (2025) In Master Thesis Series in Environmental Studies and Sustainability Science MESM02 20251
LUCSUS (Lund University Centre for Sustainability Studies)
Abstract
Under the global carbon neutrality agenda, emission reduction in China’s heavy-duty transport sector is becoming urgent, though the transition faces multiple barriers. Despite China’s leading position in new energy heavy-duty trucks, gaps remain at the strategic and policy levels. This thesis, based on the Multi-Level Perspective (MLP) and Policy Challenge theory, uses policy content analysis, hotspot mapping, and interviews to examine central and regional policy, technical bottlenecks, and infrastructure disparities between 2022 and 2025. Findings show that China lacks clear development targets for zero-emission trucks and a coordinated national strategy across regions. While battery- electric and hydrogen fuel cell trucks show promise,... (More)
Under the global carbon neutrality agenda, emission reduction in China’s heavy-duty transport sector is becoming urgent, though the transition faces multiple barriers. Despite China’s leading position in new energy heavy-duty trucks, gaps remain at the strategic and policy levels. This thesis, based on the Multi-Level Perspective (MLP) and Policy Challenge theory, uses policy content analysis, hotspot mapping, and interviews to examine central and regional policy, technical bottlenecks, and infrastructure disparities between 2022 and 2025. Findings show that China lacks clear development targets for zero-emission trucks and a coordinated national strategy across regions. While battery- electric and hydrogen fuel cell trucks show promise, biofuels are still developing. Local transitions are influenced by regional economic conditions. The thesis concludes that clearer strategic pathways, improved green infrastructure, and optimized regional energy structures are crucial, along with stronger industry collaboration and a multi-pathway approach to enhance the resilience and feasibility of the transition. (Less)
Please use this url to cite or link to this publication:
author
Yang, Xinyi LU
supervisor
organization
course
MESM02 20251
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Green transition, Muti-Level perspective, China policy, Transportation, Transition challenges, Sustainability Science
publication/series
Master Thesis Series in Environmental Studies and Sustainability Science
report number
2025:009
language
English
id
9191682
date added to LUP
2025-06-03 10:27:21
date last changed
2025-06-03 10:27:21
@misc{9191682,
  abstract     = {{Under the global carbon neutrality agenda, emission reduction in China’s heavy-duty transport sector is becoming urgent, though the transition faces multiple barriers. Despite China’s leading position in new energy heavy-duty trucks, gaps remain at the strategic and policy levels. This thesis, based on the Multi-Level Perspective (MLP) and Policy Challenge theory, uses policy content analysis, hotspot mapping, and interviews to examine central and regional policy, technical bottlenecks, and infrastructure disparities between 2022 and 2025. Findings show that China lacks clear development targets for zero-emission trucks and a coordinated national strategy across regions. While battery- electric and hydrogen fuel cell trucks show promise, biofuels are still developing. Local transitions are influenced by regional economic conditions. The thesis concludes that clearer strategic pathways, improved green infrastructure, and optimized regional energy structures are crucial, along with stronger industry collaboration and a multi-pathway approach to enhance the resilience and feasibility of the transition.}},
  author       = {{Yang, Xinyi}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Master Thesis Series in Environmental Studies and Sustainability Science}},
  title        = {{The pathways and challenges of the green transition in heavy-duty trucks in China}},
  year         = {{2025}},
}