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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
  1. Notes: (.) indicates standard error; significant at the 1% (***), 5% (**), and 10% (*) levels. Each regression result be showed with 2002 and 2008 data by using both types of definitions of treatment. Source: The following data sources, if not specifically stated, are from CHIP