Table 3. Regression results of binary... | Emerald Publishing

Table 3.

Regression results of binary probit models

Variables	Terrace	Water-saving irrigation	Plastic film	Afforestation	Ridge-furrow tillage
Degree of participation in collective action	0.808*** (0.252)	2.588*** (0.567)	0.123 (0.164)	0.969*** (0.211)	0.166 (0.164)
Householder’s age	0.095** (0.048)	−0.011 (0.094)	0.091*** (0.035)	−0.026 (0.042)	0.089** (0.035)
Square of householder’s age	−0.001** (0.001)	−0.001 (0.001)	−0.001*** (3.000E-04)	2.000E-04 (4.000E-04)	−9.000E-04*** (3.000E-04)
Years of householder’s education	0.050** (0.023)	0.172*** (0.057)	0.046*** (0.016)	0.055*** (0.019)	0.045*** (0.016)
Female is the decision-maker	0.032 (0.198)	0.422 (0.429)	0.219 (0.144)	−0.457*** (0.170)	0.232 (0.144)
Village cadre	0.677 (0.540)	0.488 (0.488)	−0.855*** (0.211)	0.942*** (0.218)	−0.882*** (0.211)
Number of close friends and relatives	−0.002 (0.001)	−0.003 (0.003)	3.000E-04 (8.000E-04)	−7.000E-04 (9.000E-04)	2.000E-04 (8.000E-04)
Number of family members	0.015 (0.037)	−0.093 (0.087)	−0.001 (0.025)	−0.007 (0.028)	−0.006 (0.025)
Planting area	−0.002 (0.006)	0.001 (0.013)	0.013*** (0.004)	−0.004 (0.005)	0.013*** (0.004)
House value	0.001 (0.011)	0.004 (0.022)	−0.019** (0.007)	0.009 (0.008)	−0.019** (0.007)
Government subsidies	0.972*** (0.256)	1.715*** (0.499)	−0.196 (0.128)	0.540*** (0.166)	−0.186 (0.128)
Technology promotion	1.289*** (0.152)	2.649*** (0.369)	1.168*** (0.136)	−0.112 (0.132)	1.157*** (0.136)
Shaanxi	−2.177*** (0.189)	−1.820** (0.833)	−0.213 (0.132)	1.415*** (0.165)	−0.202 (0.132)
Gansu	−1.140*** (0.171)	4.422*** (0.514)	−0.266** (0.126)	0.057 (0.154)	−0.257** (0.126)
Constant	−1.385 (1.175)	−3.862* (2.061)	−2.214** (0.861)	−0.516 (1.034)	−2.147** (0.861)
Observations	849	849	849	849	849
Pseudo R2	0.614	0.895	0.168	0.374	0.167
LR chi2(14)	722.32***	883.90***	191.24***	416.81***	189.25***

Variables	Terrace	Water-saving irrigation	Plastic film	Afforestation	Ridge-furrow tillage
Degree of participation in collective action	0.808*** (0.252)	2.588*** (0.567)	0.123 (0.164)	0.969*** (0.211)	0.166 (0.164)
Householder’s age	0.095** (0.048)	−0.011 (0.094)	0.091*** (0.035)	−0.026 (0.042)	0.089** (0.035)
Square of householder’s age	−0.001** (0.001)	−0.001 (0.001)	−0.001*** (3.000E-04)	2.000E-04 (4.000E-04)	−9.000E-04*** (3.000E-04)
Years of householder’s education	0.050** (0.023)	0.172*** (0.057)	0.046*** (0.016)	0.055*** (0.019)	0.045*** (0.016)
Female is the decision-maker	0.032 (0.198)	0.422 (0.429)	0.219 (0.144)	−0.457*** (0.170)	0.232 (0.144)
Village cadre	0.677 (0.540)	0.488 (0.488)	−0.855*** (0.211)	0.942*** (0.218)	−0.882*** (0.211)
Number of close friends and relatives	−0.002 (0.001)	−0.003 (0.003)	3.000E-04 (8.000E-04)	−7.000E-04 (9.000E-04)	2.000E-04 (8.000E-04)
Number of family members	0.015 (0.037)	−0.093 (0.087)	−0.001 (0.025)	−0.007 (0.028)	−0.006 (0.025)
Planting area	−0.002 (0.006)	0.001 (0.013)	0.013*** (0.004)	−0.004 (0.005)	0.013*** (0.004)
House value	0.001 (0.011)	0.004 (0.022)	−0.019** (0.007)	0.009 (0.008)	−0.019** (0.007)
Government subsidies	0.972*** (0.256)	1.715*** (0.499)	−0.196 (0.128)	0.540*** (0.166)	−0.186 (0.128)
Technology promotion	1.289*** (0.152)	2.649*** (0.369)	1.168*** (0.136)	−0.112 (0.132)	1.157*** (0.136)
Shaanxi	−2.177*** (0.189)	−1.820** (0.833)	−0.213 (0.132)	1.415*** (0.165)	−0.202 (0.132)
Gansu	−1.140*** (0.171)	4.422*** (0.514)	−0.266** (0.126)	0.057 (0.154)	−0.257** (0.126)
Constant	−1.385 (1.175)	−3.862* (2.061)	−2.214** (0.861)	−0.516 (1.034)	−2.147** (0.861)
Observations	849	849	849	849	849
Pseudo R2	0.614	0.895	0.168	0.374	0.167
LR chi2(14)	722.32***	883.90***	191.24***	416.81***	189.25***

Notes:

***, **, and * indicate significance at the levels of 1, 5 and 10%, respectively

data in parentheses are standard deviation

Source: Authors’ own creation