Table 16 The effect of RLCL on employment outcomes of men
From: Land tenure policy and off-farm employment in rural China
Dependent variable | Employment | Farm | Off-farm | Wage employment | Self-employment |
|---|---|---|---|---|---|
Land security × year08 | 0.028* (0.015) | − 0.062** (0.026) | 0.09*** (0.027) | 0.054** (0.027) | 0.025 (0.019) |
Land security × year95 | 0.011 (0.011) | 0.003(0.016) | 0.007 (0.015) | − 0.006 (0.015) | 0.015* (0.008) |
Land security | − 0.011 (0.007) | − 0.006 (0.012) | − 0.006 (0.012) | 0.005 (0.012) | − 0.005 (0.006) |
Year08 | 0.233** (0.111) | − 0.243 (0.175) | 0.476*** (0.156) | 0.504*** (0.154) | − 0.042 (0.075) |
Year95 | − 0.033*** (0.010) | 0.222*** (0.015) | − 0.254*** (0.014) | − 0.190*** (0.014) | − 0.033*** (0.007) |
Age | 0.049*** (0.001) | 0.014*** (0.001) | 0.035*** (0.001) | 0.030*** (0.001) | 0.008*** (0.001) |
Age squared | − 0.001*** (0.000) | 0.000** (0.000) | − 0.001*** (0.000) | 0.000*** (0.000) | 0.000*** (0.000) |
Education level | − 0.007*** (0.001) | −.0130*** (0.001) | 0.006*** (0.001) | 0.005*** (0.001) | 0.000 (0.001) |
Married | 0.021*** (0.006) | − 0.013 (0.008) | 0.034*** (0.008) | 0.006 (0.008) | 0.026*** (0.004) |
Log land | 0.006* (0.003) | 0.054*** (0.004) | − 0.049*** (0.004) | − 0.028*** (0.005) | − 0.025*** (0.003) |
Log asset | − 0.004*** (0.002) | 0.004* (0.002) | − 0.008*** (0.002) | − 0.029*** (0.002) | 0.027*** (0.002) |
Girls aged 6 or younger | 0.021*** (0.005) | 0.009 (0.008) | 0.012* (0.007) | 0.014* (0.007) | − 0.002 (0.004) |
Boys aged 6 or younger | 0.011** (0.005) | − 0.006 (0.007) | 0.017** (0.007) | 0.017** (0.007) | − 0.004 (0.004) |
Boys aged 7–14 | − 0.012*** (0.004) | − 0.022*** (0.006) | 0.010** (0.005) | 0.008 (0.005) | 0.007** (0.003) |
Girls aged 7–14 | − 0.016*** (0.004) | − 0.015*** (0.006) | − 0.001 (0.005) | − 0.004 (0.005) | 0.004 (0.003) |
Women aged 15–25 | − 0.005* (0.003) | − 0.002 (0.004) | − 0.003 (0.004) | − 0.004 (0.004) | − 0.001 (0.002) |
Men aged 15–25 | 0.008*** (0.003) | − 0.003 (0.004) | 0.011*** (0.004) | 0.006 (0.004) | 0.002 (0.002) |
Women aged 26–39 | − 0.024*** (0.005) | − 0.028*** (0.007) | 0.004 (0.007) | 0.002 (0.007) | 0.013*** (0.004) |
Men aged 26–39 | − 0.019*** (0.004) | − 0.013** (0.006) | − 0.006 (0.006) | − 0.003 (0.006) | − 0.008** (0.003) |
Women aged 40–50 | − 0.005 (0.006) | − 0.025*** (0.009) | 0.02** (0.008) | 0.019** (0.008) | 0.006 (0.005) |
Men aged 40–50 | − 0.063*** (0.006) | − 0.063*** (0.009) | 0.000 (0.008) | 0.012 (0.008) | − 0.014*** (0.005) |
Women aged 51–69 | 0.022*** (0.006) | − 0.027*** (0.009) | 0.049*** (0.008) | 0.049*** (0.008) | 0.010** (0.005) |
Men aged 51–69 | − 0.013** (0.006) | − 0.068*** (0.009) | 0.055*** (0.008) | 0.065*** (0.008) | − 0.009** (0.005) |
Women aged 70 over | 0.008 (0.006) | − 0.009 (0.009) | 0.017* (0.009) | 0.014 (0.009) | 0.000 (0.005) |
Men aged 70 over | − 0.013* (0.008) | − 0.014 (0.012) | 0.002 (0.011) | − 0.004 (0.011) | 0.008 (0.007) |
Ln per capita income | − 0.016*** (0.006) | − 0.025*** (0.008) | 0.009 (0.008) | 0.002 (0.008) | 0.011** (0.005) |
Log consumption_level | − 0.322 (0.202) | 0.441 (0.317) | − 0.763*** (0.281) | − 0.691** (0.278) | 0.027 (0.129) |
R 2 | 0.20 | 0.27 | 0.28 | 0.23 | 0.13 |
No. of obs. | 31,580 | ||||