Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
This study examines the effects of e-commerce adoption on household income, using survey data of 1,030 households in China. The combination of propensity score matching and difference-in-difference method is employed to address the sample selection bias associated with e-commerce adoption. The results show that e-commerce adopters obtain significantly higher income than non-adopters, and such a significant and large income gain is mainly contributed by the significant increase in sales income. E-commerce adoption has a significant and negative impact on wage income due to the labor substitution effect, while it affects transfer income insignificantly. Additional analysis reveals that the income effects of e-commerce adoption are heterogeneous across geographic locations and household-level characteristics.