Analysis of the Influencing Factors of Power Demand in Beijing Based on the LMDI Model

Since the reform and opening-up, under new economic situation policy, rapid growth of power demand in Beijing is threatening sustainable development China’s economy environment. To recognize driving factors electricity consumption offer policy implications, based on data consumption, Gross Domestic Product (GDP) resident population from 1990 to 2021, this research used Kaya-equation logarithmic mean divisia index (LMDI) model decompose into quantitative contribution each factor perspective industrial residential consumption. The results decomposition analysis show that, as far concerned, rates growth, intensity output value structure are 234.26%, −109.01% −25.25%, respectively, which shows that primary force promoting demand. Power main reason for restraining demand, rate sliding relatively small; per capita size 68.13% 31.87%, indicates followed by total population. study electric would increase if Beijing’s urbanization keep developing, optimizing industry structure, improving efficiency energy utilization adopting clean approaches making decrease.