To analyze the participation of mutual help and pension and influencing factors of the elderly in China, and to provide a reference basis for the long -term development of mutual help.

Based on the China Longitudinal Aging Social Survey (CLASS) data, single -factor deck analysis, non-conditional logistic regression and Shapley decomposition method was used to analyze the influencing factors and differences in the participation of the elderly people in my country.

The participation rate of mutual support for the elderly in China was only 19.72%, the participation level was low, and the awareness of mutual support for the elderly was weak. Multivariate Logistic regression results showed that the participation of the elderly in mutual support for themwas affected by the demographic characteristics, personal physical conditions, family conditions, pension concepts and ways. Shapley decomposition showed that the contribution rate of each factor to the elderly’s participation in mutual support for the elderly was different, and the physical condition of the elderly had the greatest impact on their participation in mutual support for the elderly, the contribution rate was 19.96%. The second was the participation in insurance and the need for help from others, with the contribution rates of 19.27% and 12.33% respectively.

It’s of great importance tocreate a platform for mutual assistance for the elderly, improve the government incentive mechanism, improve the community support network, and create a good atmosphere of mutual assistance, strengthen mutual assistance pension and education, and play a role of family support.