Table 13 Entropy balancing estimation results for group regression by gender, age and education.
From: Big data products and income inequality of e-commerce farmers: evidence from China
Dependent variables | Gender | Age | Education level | ||||
|---|---|---|---|---|---|---|---|
Male | Female | Under 30 | 30–50 | Low | Medium | High | |
Whether or not to use big data products | −0.069*** (0.021) | −0.036 (0.025) | −0.080*** (0.030) | −0.071*** (0.020) | −0.033 (0.030) | −0.090*** (0.023) | 0.053 (0.033) |
Total attributes of big data products | −0.038*** (0.004) | −0.044*** (0.006) | −0.038*** (0.006) | −0.047*** (0.004) | −0.014** (0.007) | −0.058*** (0.004) | −0.024*** (0.007) |
Usefulness of big data products | −0.070*** (0.010) | −0.082*** (0.014) | −0.057*** (0.015) | −0.092*** (0.010) | −0.018 (0.016) | −0.118*** (0.011) | −0.045** (0.019) |
Ease of use of big data products | −0.089*** (0.009) | −0.105*** (0.015) | −0.104*** (0.014) | −0.100*** (0.009) | −0.034* (0.018) | −0.137*** (0.010) | −0.050*** (0.015) |
Experience of big data products | −0.146*** (0.013) | −0.157*** (0.019) | −0.140*** (0.018) | −0.174*** (0.014) | −0.067** (0.026) | −0.199*** (0.013) | −0.115*** (0.024) |
