Table 3.
25 selected variable names and explanations.
| Name | Description |
|---|---|
| information_chance | Whether respondents were able to use modern information technology to obtain more information |
| Social_Risk | Whether the respondents have commercial insurance |
| Gender | Gender of the respondents |
| present_house_property | The property value of the respondent's current home |
| Water_conservancy_facilities | The number of DAMS per person in the respondent's province |
| medicel_cost | The respondent's household expenditure on medicine |
| police_chance | Whether the respondents received any national policy funding |
| Production_Risk | Weekly working hours of respondents |
| book | The number of books in the respondent's home |
| Education | The number of years the respondent has been in education |
| major_thing | Whether there was a major incident in the household of the respondent in the previous year |
| social_relationship | The amount of money the respondent's household spent on favors in the previous year |
| Ecomicial_Risk | Weekly working hours of respondents |
| family_machine_value | Home mechanical value of respondents |
| migrant_worker | Whether respondents work outside the home |
| education_cost | The respondent's household expenditure on education |
| duriable_good | The value of durable goods in respondents' households |
| loan | The per capita loan amount of the respondents' households |
| food_cost | Respondent's household food expenditure |
| fuel | Respondent's living and cooking fuel |
| money | Total household cash and savings of respondents |
| total_house_property | The property value of the respondent's total house |
| Ecomicial_Chance | Whether respondents received funds from family and friends when they were in difficulty |
| hire_other_land | Whether the respondent's family rents other people's land |
| work_type | Whether the respondent was self-employed or employed |