DOI: 10.57760/sciencedb.23618
title: Research on the Factors Influencing the Decision-Making for Commercial Pension Insurance in China Based on the Andersen Model(Based on CGSS2021 Data)
title: 基于安德森模型的我国商业养老保险投保决策影响因素数据（基于CGSS2021数据）

description: 1. The data is based on the 2021 Chinese General Social Survey (CGSS) database, and relevant issues such as personal physical and mental health, as well as family and regional economic development levels were selected for data screening. It should be noted that the China General Social Survey Database (CGSS) is the first nationwide, comprehensive, and continuous large-scale social survey project in China. Its data has been desensitized and ethically reviewed, in compliance with the requirements of the Personal Information Protection Law. 2. Some regional data come from the government's public websites, including the statistical report on China's Internet development and the data collation of the national statistical yearbook. The three key indicators, namely, regional economic level, Internet penetration rate and aging level, are quantified according to the provinces to which the samples belong. At the same time, spatial fuzzification is carried out to aggregate provincial data into regional averages. 3. Select individuals as research subjects, and the data has been anonymized for all personal information. 4. Exclude samples with missing key variables and retain a total of 1099 pieces of data information. 5. Variable description Column 1- Province where the sample is located; Column 2-y_tz Commercial Pension Insurance Investment Decision (CGSS Questionnaire A41); Column 3-intel_1 scenario interaction level (Internet use frequency; questionnaire A28); Column 4- Sex Gender (Questionnaire A2); List 5-edu education level (questionnaire A7, fuzzy classification according to junior high school, high school, undergraduate and above); List 6- Work status (questionnaire A59a); List 7-hukou household registration (urban distribution status; questionnaire A18); Column 8-happy subjective well-being (questionnaire A36); List 9-jyb Basic Pension Insurance (Questionnaire A61; Pay attention to whether you are insured); List 10 age age (questionnaire A3; add random error ± 2 years); List 11 ethnic groups (questionnaire A4; divided into two categories: Han and minority); Column 12-jw_0 endogenous interaction (social activity frequency; questionnaire A31b); 13 Mary's marital status (questionnaire A69; divided into married and unmarried categories); Column 14- Trust Social Trust (Questionnaire A33); Column 15- ln_GDP regional economic level (logarithmized regional GDP in yuan units); Column 16-ln_pjl Internet penetration rate (log the regional Internet penetration rate); List 17- Physical Health Level (Questionnaire A16; only for self-assessment of health index 1-5 points); List 18 mental health level (questionnaire A17; only for self-assessment of health index 1-5 points); List the aging level of the region (the proportion of elderly people aged 60 and above in each province in the current year); List 20 YLGN elderly care concepts (questionnaire A41); Column 21- Household Economic Status (Perception of Household Economy at Regional Level: Divided into Above Average, Equal to Average, and Below Average; Questionnaire A64) 
description: 1. The data is based on the 2021 Chinese General Social Survey (CGSS) database, and relevant issues such as personal physical and mental health, as well as family and regional economic development levels were selected for data screening. It should be noted that the China General Social Survey Database (CGSS) is the first nationwide, comprehensive, and continuous large-scale social survey project in China. Its data has been desensitized and ethically reviewed, in compliance with the requirements of the Personal Information Protection Law. 2. Some regional data come from the government's public websites, including the statistical report on China's Internet development and the data collation of the national statistical yearbook. The three key indicators, namely, regional economic level, Internet penetration rate and aging level, are quantified according to the provinces to which the samples belong. At the same time, spatial fuzzification is carried out to aggregate provincial data into regional averages. 3. Select individuals as research subjects, and the data has been anonymized for all personal information. 4. Exclude samples with missing key variables and retain a total of 1099 pieces of data information. 5. Variable description Column 1- Province where the sample is located; Column 2-y_tz Commercial Pension Insurance Investment Decision (CGSS Questionnaire A41); Column 3-intel_1 scenario interaction level (Internet use frequency; questionnaire A28); Column 4- Sex Gender (Questionnaire A2); List 5-edu education level (questionnaire A7, fuzzy classification according to junior high school, high school, undergraduate and above); List 6- Work status (questionnaire A59a); List 7-hukou household registration (urban distribution status; questionnaire A18); Column 8-happy subjective well-being (questionnaire A36); List 9-jyb Basic Pension Insurance (Questionnaire A61; Pay attention to whether you are insured); List 10 age age (questionnaire A3; add random error ± 2 years); List 11 ethnic groups (questionnaire A4; divided into two categories: Han and minority); Column 12-jw_0 endogenous interaction (social activity frequency; questionnaire A31b); 13 Mary's marital status (questionnaire A69; divided into married and unmarried categories); Column 14- Trust Social Trust (Questionnaire A33); Column 15- ln_GDP regional economic level (logarithmized regional GDP in yuan units); Column 16-ln_pjl Internet penetration rate (log the regional Internet penetration rate); List 17- Physical Health Level (Questionnaire A16; only for self-assessment of health index 1-5 points); List 18 mental health level (questionnaire A17; only for self-assessment of health index 1-5 points); List the aging level of the region (the proportion of elderly people aged 60 and above in each province in the current year); List 20 YLGN elderly care concepts (questionnaire A41); Column 21- Household Economic Status (Perception of Household Economy at Regional Level: Divided into Above Average, Equal to Average, and Below Average; Questionnaire A64)