Study on the Prediction of Aging Population in Gansu Based on Metabolic GM(1,1) Model

Since the 21st century, the number of people aged 65 and above in China has been increasing year by year. The aging population has grown faster and faster, and the aging of the population has become increasingly prominent. In order to explore the development trend of the elderly population aged 65 years and over in Gansu Province, this paper uses the gray system metabolism GM (1,1) model to predict the population aged 65 and above in Gansu Province from 2016 to 2022. The results show that the elderly population in Gansu Province will continue to rise in the next few years. In order to effectively alleviate this problem, this paper proposes three suggestions to improve the social pension security system in Gansu Province, establish an industrial base for the elderly, and promote the “two-child” policy.