Table 2. Results for the RBP model...

Table 2.

Results for the RBP model

	Dependent variable: AII		Dependent variable: CR_variety
Variables	Coefficient	Robust S.E.	Coefficient	Robust S.E.
AII	–	–	1.159***	0.297
Temperature	–	–	0.942***	0.197
Precipitation	–	–	−0.213***	0.079
Male	0.090	0.099	−0.089	0.118
Age	0.030	0.037	0.087*	0.050
Age*Age	−0.001*	0.000	−0.001	0.000
Education	0.054***	0.017	−0.020	0.017
Health1	−0.309	0.220	0.192	0.169
Health2	0.027	0.155	−0.054	0.150
Non_farm	0.138	0.105	0.049	0.126
Perception_temp	0.067	0.124	0.041	0.120
Perception_pre	0.133	0.134	0.066	0.116
Income	0.017**	0.007	−0.022	0.014
Area_paddy	0.001**	0.001	0.006***	0.002
Area_dry	−0.008	0.013	0.024	0.016
Labor	−0.040	0.057	−0.040	0.038
Machine	0.158**	0.072	0.001	0.164
County	–	–	Fixed	Fixed
AII_village	0.012***	0.003	–	–
Constant	−0.640	0.876	−15.765***	2.513
ρ	−0.596*	0.235
Log pseudolikelihood	−958.315

	Dependentvariable: AII		Dependent variable:CR_variety
Variables	Coefficient	Robust S.E.	Coefficient	Robust S.E.
AII	–	–	1.159***	0.297
Temperature	–	–	0.942***	0.197
Precipitation	–	–	−0.213***	0.079
Male	0.090	0.099	−0.089	0.118
Age	0.030	0.037	0.087*	0.050
Age*Age	−0.001*	0.000	−0.001	0.000
Education	0.054***	0.017	−0.020	0.017
Health1	−0.309	0.220	0.192	0.169
Health2	0.027	0.155	−0.054	0.150
Non_farm	0.138	0.105	0.049	0.126
Perception_temp	0.067	0.124	0.041	0.120
Perception_pre	0.133	0.134	0.066	0.116
Income	0.017**	0.007	−0.022	0.014
Area_paddy	0.001**	0.001	0.006***	0.002
Area_dry	−0.008	0.013	0.024	0.016
Labor	−0.040	0.057	−0.040	0.038
Machine	0.158**	0.072	0.001	0.164
County	–	–	Fixed	Fixed
AII_village	0.012***	0.003	–	–
Constant	−0.640	0.876	−15.765***	2.513
ρ	−0.596*	0.235
Log pseudolikelihood	−958.315

Notes:

*, ** and *** denote significance at 10%, 5% and 1% levels, respectively. Cluster-robust standard errors at the county level are presented

Source: Model results based on authors’ work

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