Data Analysis on Consumer Pension Plans for Chinese Residents

Data plays an important role in various fields of today's society. Through data analysis, it is possible to discover the underlying operating mechanisms and laws behind the data. Analyzing relevant data can provide decision-making references for policymakers. According to the seventh national census data, the degree of China's population aging has further deepened, and the elderly pension problems have become even more severe. The basic pension security system can no longer meet the pension needs of all residents. This paper adopts the random sampling method, and uses the self-designed questionnaire to study the residents' consumption intention and influencing factors for the consumer pension plan. Although the residents as a whole do not know much about the new consumer pension mode, after they have a certain understanding of the content of consumer pension, more residents are willing to participate in the consumer pension plan. The results show that residents' different characteristics have different impacts on their willingness to participate in the consumer pension plan, and the factors influencing their choice of consumer pension plans are also different. Residents' willingness to participate in consumer pension plans will be affected by the advantages of the consumer pension plans, and the more obvious the advantages of consumer pension plans, the higher the degree of residents' willingness to participate in the consumer pension plans.