Abstract:In this study, the Logarithmic Mean Divisia Index (LMDI) model based on the Kaya identity was adopted to analyze the influencing factors of energy-related carbon emissions in Hong Kong from 1983 to 2018. The results show that: (1) Coal and Oil dominated Hong Kong’s energy consumption structure. Under the influence of energy prices, energy consumption structure at different stages is different. Imports of electricity from China mainland optimized Hong Kong’s energy consumption structure. (2) Economic growth and population size were two dominant contributors influencing the growth of carbon emissions. (4) Energy consumption intensity, energy consumption structure and energy substitution effect played significant effects to mitigate carbon emissions. Energy consumption intensity was the most important factor to curb carbon emissions. More attention should be paid to the potential impact of energy price fluctuations in the future. More efforts should be made to maintain cross-border energy cooperation, namely, electricity imports with the Pearl River Delta. In addition, supply channels based on international and domestic markets should also be expanded.