Table 4 Descriptive statistical characterization of variables.
Variables | Variable Description | Observed value | Standard deviation | Mean | Max | Min |
|---|---|---|---|---|---|---|
Entre | Participation in E-commerce entrepreneurship = 1; if not = 0 | 15,284 | 0.243 | 0.0631 | 1 | 0 |
EC | E-commerce development index | 15,284 | 0.418 | 1.010 | 1.630 | 0.471 |
Cooper | Participation in rural cooperatives = 1; if not = 0 | 15,284 | 0.429 | 0.243 | 1 | 0 |
Borrow | Borrowing for production = 1; if not = 0 | 15,284 | 0.402 | 0.202 | 1 | 0 |
Bussi_insur | Purchase of commercial insurance = 1; if not = 0 | 15,284 | 0.372 | 0.166 | 1 | 0 |
To_city | Experienced in urban labor = 1; if not = 0 | 15,284 | 0.500 | 0.520 | 1 | 0 |
Inprofit | Logarithm of net farm income | 15,284 | 4.510 | 7.080 | 15.10 | 0 |
lngov_cost | Government spending on ICT, postal transportation, and logarithm of primary sector expenditures | 15,284 | 0.540 | 16.50 | 17.10 | 15 |
lngdp1 | Logarithm of gross primary sectoral output | 15,284 | 0.788 | 17.50 | 18.40 | 15.60 |
Gender | women = 1; if not = 0 | 15,284 | 0.500 | 0.481 | 1 | 0 |
Nation | national minority = 1; if not = 0 | 15,284 | 0.340 | 0.134 | 1 | 0 |
Edu | Unschooled = 1; Elementary school = 2; Junior high school = 3; High school = 4; Secondary school = 5; Vocational high school and technical school = 6; University college = 7; Undergraduate college = 8; Graduate school = 9; Other = 10 | 15,284 | 1.860 | 3.080 | 10 | 1 |
Age | Age of farmers | 15,284 | 21.30 | 43.30 | 106 | 3 |
Poor | Poor households = 1; if not = 0 | 15,284 | 0.500 | 0.520 | 1 | 0 |
Illness | Serious chronic illness or disability = 1; if not = 0 | 15,284 | 0.487 | 0.387 | 1 | 0 |
