Table 2.
Variables | Full Sample | Western China Rural Communities | Resettlement Communities | Central China Rural Communities | Migrant Communities | Difference: (2)−(3) | Difference: (2)–(4) | Difference: (2)–(5) |
---|---|---|---|---|---|---|---|---|
Mean | Mean | Mean | Mean | Mean | p-value | p-value | p-value | |
(SD) | (SD) | (SD) | (SD) | (SD) | ||||
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | |
Child characteristics | ||||||||
Age | 16.04 | 14.57 | 16.50 | 17.42 | 15.90 | <0.01 | <0.01 | <0.01 |
(in months) | (6.53) | (5.09) | (6.85) | (7.32) | (6.64) | |||
Male | 0.53 | 0.51 | 0.55 | 0.57 | 0.47 | 0.37 | 0.17 | 0.35 |
(1 = yes) | (0.50) | (0.50) | (0.50) | (0.50) | (0.50) | |||
Premature | 0.06 | 0.05 | 0.03 | 0.06 | 0.10 | 0.40 | 0.38 | <0.01 |
(1 = yes) | (0.24) | (0.21) | (0.17) | (0.25) | (0.29) | |||
Household characteristics | ||||||||
Primary caregiver | 0.68 | 0.74 | 0.58 | 0.60 | 0.73 | <0.01 | <0.01 | 0.93 |
(1 = mother) | (0.47) | (0.44) | (0.50) | (0.49) | (0.44) | |||
Maternal age | 0.69 | 0.65 | 0.71 | 0.69 | 0.74 | 0.23 | 0.36 | <0.01 |
(1 = above 25 years) | (0.46) | (0.48) | (0.46) | (0.46) | (0.44) | |||
Maternal education level | 0.34 | 0.22 | 0.36 | 0.32 | 0.61 | <0.01 | <0.01 | <0.01 |
(1 = 9 years or higher) | (0.47) | (0.41) | (0.48) | (0.47) | (0.49) | |||
Father education level | 0.34 | 0.25 | 0.37 | 0.32 | 0.54 | <0.01 | 0.09 | <0.01 |
(1 = 9 years or higher) | (0.47) | (0.44) | (0.49) | (0.47) | (0.50) | |||
Mother stays at home | 0.80 | 0.80 | 0.74 | 0.76 | 0.92 | 0.09 | 0.28 | <0.01 |
(1 = yes) | (0.40) | (0.40) | (0.44) | (0.43) | (0.27) | |||
Father stays at home | 0.49 | 0.48 | 0.30 | 0.40 | 0.70 | <0.01 | 0.10 | <0.01 |
(1 = yes) | (0.50) | (0.50) | (0.46) | (0.49) | (0.46) | |||
Family asset index | 0.32 | −0.15 | 0.27 | 0.37 | 1.14 | <0.01 | <0.01 | <0.01 |
(1.19) | (1.20) | (1.22) | (1.08) | (0.88) | ||||
Household receives socialsecurity support (1 = yes) | 0.11 | 0.11 | 0.10 | 0.12 | 0.09 | 0.79 | 0.66 | 0.43 |
(0.31) | (0.31) | (0.30) | (0.33) | (0.29) | ||||
Observations | 2514 | 2061 | 129 | 124 | 200 |
Notes: We used sampling weights to calculate the summary statistics for each observation. We used the following formula to calculate the sampling weights: sampling weight = proportion of subpopulation in total population/proportion of subpopulation in sample. The subpopulation proportions in rural China’s total population are 37.7% for western China rural communities, 1.4% for resettlement migration communities, 42.0% for central China rural communities, and 18.8% for migrant communities. Next, in our sample, the subpopulation proportions are 82% for western rural communities, 5% for resettlement migration communities, 5% for central rural communities, and 8% for migrant communities. Therefore, the final sampling weights for each subpopulation are 0.46 for western China rural communities (equal to 37.7%/82%), 0.28 for resettlement migration villages (equal to 1.4%/5%), 8.4 for central China rural communities (equal to 42%/5%), and 2.35 for migrant communities (equal to 18.8%/8%). For the child and household characteristics, the first column shows the mean and standard deviation of each characteristic for the full sample; column 2 shows statistics for children and households in western China rural communities; column 3 shows statistics for children and households in resettlement communities; column 4 shows statistics for children and households in central China rural communities; column 5 shows statistics for children and households in migration communities. Column 6 shows the p-value of the difference between column 2 and column 3; column 7 shows the p-value of the difference between column 2 and column 4; column 8 shows the p-value of the difference between column 2 and column 5. We asked caregivers whether or not their households had the following items in order to construct polychoric principal components and develop the family asset index: tap water, toilet, water heater, washing machine, computer, internet, refrigerator, air conditioner, motor or electronic bicycle, and car.