The Study of Air Cargo Transportation at Hong Kong International Airport
Liu, Siyi (2025)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202505028583
https://urn.fi/URN:NBN:fi:amk-202505028583
Tiivistelmä
This thesis examines the competitiveness and operational strategies of Hong Kong International Airport (HKIA), a leading global air cargo hub, focusing on technological innovation, multi-stakeholder collaboration, and sustainable development. Using a mixed methods approach, including structural equation modeling, data envelopment analysis, and case studies, the research dissects how HKIA maintains its competitive edge amid evolving global logistics challenges.
HKIA’s core strengths lie in its “intelligent processing triangle”—automated sorting systems, blockchain-driven customs clearance, and AI demand forecasting —which together enhance freight processing efficiency by 35% and reduce unit energy consumption by 18%. The airport’s collaborative ecosystem, involving partners like Hong Kong Air Cargo Terminals Limited (HACTL) and Cathay Pacific, optimizes resource utilization and network resilience, with Greater Bay Area cooperation shortening crossborder time by 25% and boosting regional cargo throughput to 65% of total volume.
Despite these advantages, HKIA faces challenges in achieving its 2035 carbon neutrality target, with current unit carbon emissions at 6.2 tons CO₂ /ton (vs. 5.0 tons target). Key obstacles include the high cost of sustainable aviation fuel and policy compliance risks from the EU Carbon Border Tax. The study proposes strategies such as local SAF supply chain development, regional green standardization, and a three-level carbon pricing mechanism to balance efficiency and emission reduction.
The research contributes theoretically by integrating “technological innovation multiplier effect” and “collaborative network density” into the airport competitiveness framework, and practically by offering a “Hong Kong paradigm” for global hubs to adopt “efficient, collaborative, and green” transformations. Findings highlight the critical role of adaptive technology and ecosystem resilience in shaping the future of air cargo logistics.
HKIA’s core strengths lie in its “intelligent processing triangle”—automated sorting systems, blockchain-driven customs clearance, and AI demand forecasting —which together enhance freight processing efficiency by 35% and reduce unit energy consumption by 18%. The airport’s collaborative ecosystem, involving partners like Hong Kong Air Cargo Terminals Limited (HACTL) and Cathay Pacific, optimizes resource utilization and network resilience, with Greater Bay Area cooperation shortening crossborder time by 25% and boosting regional cargo throughput to 65% of total volume.
Despite these advantages, HKIA faces challenges in achieving its 2035 carbon neutrality target, with current unit carbon emissions at 6.2 tons CO₂ /ton (vs. 5.0 tons target). Key obstacles include the high cost of sustainable aviation fuel and policy compliance risks from the EU Carbon Border Tax. The study proposes strategies such as local SAF supply chain development, regional green standardization, and a three-level carbon pricing mechanism to balance efficiency and emission reduction.
The research contributes theoretically by integrating “technological innovation multiplier effect” and “collaborative network density” into the airport competitiveness framework, and practically by offering a “Hong Kong paradigm” for global hubs to adopt “efficient, collaborative, and green” transformations. Findings highlight the critical role of adaptive technology and ecosystem resilience in shaping the future of air cargo logistics.