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Table 3 Robustness check results with OLS and probit model employed

From: The impacts of observational learning and word-of-mouth learning on farmers’ use of biogas in rural Hubei, China: does interpersonal trust play a role?

Variables

OLS

Probit

OB_r

0.04 (0.05)

0.14 (0.18)

OB_n

0.02 (0.06)

0.39 (0.33)

OB_c

− 0.04 (0.06)

− 0.20 (0.25)

OB_o

0.02 (0.07)

− 0.03 (0.24)

OB_t

0.15**(0.06)

0.55**(0.23)

WOM_rp

0.05 (0.06)

0.04 (0.20)

WOM_np

− 0.00 (0.10)

0.02 (0.35)

WOM_cp

0.18**(0.07)

0.71**(0.28)

WOM_op

− 0.17 (0.21)

− 0.69 (0.74)

WOM_tp

− 0.28***(0.09)

− 1.16***(0.43)

WOM_rn

− 0.01 (0.06)

0.09 (0.22)

WOM_nn

− 0.04 (0.10)

− 0.19 (0.41)

WOM_cn

− 0.11 (0.08)

− 0.38 (0.30)

WOM_on

0.41**(0.19)

1.79***(0.60)

WOM_tn

0.02 (0.06)

0.11 (0.26)

OB_r × Tr

0.09 (0.05)

0.61**(0.24)

OB_n × Tn

0.08 (0.05)

0.12 (0.32)

OB_c × Tc

0.02(0.06)

0.04(0.25)

OB_o × To

− 0.08(0.07)

− 0.17(0.24)

OB_t × Tt

− 0.00(0.06)

0.04(0.23)

WOM_rp × Tr

0.00(0.10)

0.20 (0.34)

WOM_np × Tn

0.24**(0.11)

0.94**(0.38)

WOM_cp × Tc

− 0.12(0.10)

− 0.24 (0.39)

WOM_op × To

0.51**(0.23)

1.98**(0.84)

WOM_tp × Tt

0.42***(0.13)

1.85***(0.62)

WOM_rn × Tr

− 0.04 (0.10)

− 0.24 (0.36)

WOM_nn × Tn

− 0.14 (0.11)

− 0.61 (0.43)

WOM_cn × Tc

− 0.07 (0.09)

− 0.91**(0.45)

WOM_on × To

− 0.41*(0.21)

− 1.96***(0.72)

WOM_tn × Tt

− 0.07 (0.09)

− 0.54 (0.48)

Interpersonal trust variables

Yes

Yes

Control variables

Yes

Yes

Constant

0.17 (0.11)

− 1.46**(0.58)

Prob > F/ Prob > chi2

0.00

0.00

  1. N = 913; ***p < 0.01, **p < 0.05, *p < 0.1; standard errors are in parentheses; landform dummies are included in OLS and Probit estimates with plains as the reference