Based on the energy consumption data of power industry in the Beijing-Tianjin-Hebei region from 1995 to 2014, our paper first estimated CO₂ emissions using the IPCC carbon accounting methods. Then, starting from the perspective of the power industry chain – including power generation, transmission, and final consumption – we established the hierarchical LMDI decomposition model; decomposed driving factors of CO₂ emissions into effects of fuel mix; the coal consumption rate; power generation structure; the ratio of power generation to consumption, transmission, and distribution losses; production sectors’ electricity intensity; industrial structure; household electricity intensity; economic scale; and population size. Results show that: 1. During 1995-2014, CO₂ emissions of power industry in the Beijing-Tianjin-Hebei region developed in fluctuation and showed a rising trend in general, with annual average growth rate of 5.93%. 2. The factors that drive the growth of CO₂ emissions from the power industry in the Beijing-Tianjin-Hebei region are, in order, economic scale, population size, transmission and distribution losses, and industrial structure, with a contribution rate of 150.70%, 20.80%, 8.86%, and 8.83%. The factors that drive CO₂ emissions reduction are production sectors’ electricity intensity, the coal consumption rate, the ratio of electricity generation and consumption, household electricity intensity, power generation structure, and fuel mix, with a contribution rate of -45.97%, -22.38%, -19.41%, -0.62%, -0.49%, and -0.32%, respectively
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