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Table 15 The effect of RLCL on employment outcomes of women

From: Land tenure policy and off-farm employment in rural China

Dependent variable Employment Farm Off-farm Wage employment Self-employment
Land security × year08 0.052*** (0.019) − 0.019 (0.026) 0.071*** (0.025) 0.048** (0.024) 0.010 (0.014)
Land security × year95 0.001 (0.012) 0.005 (0.014) − 0.004 (0.012) − 0.005 (0.011) − 0.003 (0.006)
Land security − 0.007 (0.008) − 0.009 (0.01) 0.002 (0.009) 0.005 (0.009) 0.000 (0.005)
Year08 − 0.108 (0.118) − 0.073 (0.153) − 0.035 (0.122) − 0.027 (0.114) 0.013 (0.054)
Year95 − 0.014 (0.011) 0.058*** (0.013) − 0.072*** (0.011) − 0.044*** (0.01) − 0.008 (0.005)
Age 0.059*** (0.001) 0.052*** (0.002) 0.006*** (0.001) 0.004*** (0.001) 0.004*** (0.000)
Age squared − 0.001*** (0.000) − 0.001*** (0.000) 0.000*** (0.000) 0.000*** (0.000) 0.000*** (0.000)
Education level − 0.006*** (0.001) − 0.010*** (0.001) 0.004*** (0.001) 0.004*** (0.001) 0.001* (0.000)
Married − 0.019** (0.008) 0.084*** (0.009) − 0.103*** (0.008) − 0.118*** (0.008) 0.009*** (0.004)
Log land 0.014*** (0.003) 0.048*** (0.004) − 0.033*** (0.004) − 0.019*** (0.004) − 0.017*** (0.002)
Log asset − 0.001 (0.002) 0.000 (0.002) − 0.002 (0.002) − 0.012*** (0.002) 0.013*** (0.001)
Girls aged 6 or younger 0.023*** (0.005) 0.041*** (0.007) − 0.017*** (0.006) − 0.015** (0.006) − 0.006* (0.003)
Boys aged 6 or younger 0.012** (0.005) 0.032*** (0.007) − 0.020 (0.006) − 0.020*** (0.005) − 0.005* (0.003)
Boys aged 7–14 − 0.011*** (0.004) − 0.011** (0.005) 0.000 (0.004) − 0.003 (0.004) 0.004* (0.002)
Girls aged 7–14 − 0.011*** (0.004) − 0.012** (0.005) 0.001 (0.004) 0.001 (0.004) − 0.001 (0.002)
Women aged 15–25 −0 .001 (0.003) − 0.010*** (0.004) 0.009*** (0.003) 0.006** (0.003) 0.004** (0.002)
Men aged 15–25 0.004 (0.003) − 0.003 (0.004) 0.007* (0.004) 0.005 (0.003) 0.003 (0.002)
Women aged 26–39 − 0.056*** (0.006) − 0.084*** (0.008) 0.028*** (0.006) 0.027*** (0.006) 0.007** (0.003)
Men aged 26–39 − 0.007 (0.005) − 0.004 (0.007) − 0.003 (0.006) − 0.002 (0.005) 0.005* (0.003)
Women aged 40–50 − 0.061*** (0.007) − 0.126*** (0.009) 0.065*** (0.008) 0.066*** (0.007) 0.002 (0.004)
Men aged 40–50 − 0.021*** (0.006) − 0.013 (0.009) − 0.008 (0.007) − 0.002 (0.007) − 0.002 (0.004)
Women aged 51–69 − 0.031*** (0.006) − 0.123*** (0.009) 0.092*** (0.008) 0.090*** (0.007) 0.011*** (0.004)
Men aged 51–69 0.030*** (0.006) 0.018** (0.009) 0.012* (0.007) 0.017** (0.007) − 0.001 (0.003)
Women aged 70 over − 0.004 (0.007) − 0.013 (0.009) 0.009 (0.008) 0.006 (0.008) 0.001 (0.004)
Men aged 70 over − 0.014* (0.009) − 0.014 (0.011) 0.000 (0.009) 0.000 (0.009) 0.001 (0.005)
Log per capita income − 0.013* (0.006) − 0.016** (0.008) 0.003 (0.007) − 0.002 (0.006) 0.003 (0.003)
Log consumption_level 0.185 (0.215) 0.005 (0.275) 0.179 (0.218) 0.227 (0.205) − 0.034 (0.095)
R 2 0.19 0.31 0.27 0.26 0.09
No. of obs. 28,813
  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