Rural Households’ Demand Status for Mitigation of Prosopis juliflora (Sw.) DC Invasion and Its Determinant Factors in Ethiopia: Empirical Evidence from Afar National Regional State

Table 4

Determinants of rural households’ WTP in P. juliflora management.

Variables	WTP1		WTP2		Joint marginal effect
	Coefficient	Robust std. err	Coefficient	Robust std. err
Initial bid (Bid1)	−0.00753	0.0357			0.0000
Follow-up bid (Bid2)			−0.0443	0.0188	−0.0024
Age of the HH	−0.0422	0.0326	−0.0763	0.0158	−0.0041
Sex of the HH	0.8303	0.4327	−0.1471	0.3502	−0.0071
Education level of the HH	0.2226	0.0817	0.0958	0.0937	0.0052
Annual farm income (ln)	−0.3878	0.5964	0.4152	0.3431	0.0225
Non/off-farm income	−0.0000	0.0000	−0.0000	0.0000
Security of tenure	4.9436	1.0941	1.9497	0.5150	0.0705
Past awareness	0.2544	0.4870	0.2199	0.3386	0.0130
Freq. of extension contact	0.3802	0.1557	0.0732	0.0383	0.0040
Distance from the market	0.0011	0.0045	0.0029	0.0019	0.0001
Farming experience	0.0160	0.1793	−0.0023	0.0161	−0.0001
Years lived in the area	0.0080	0.0149	0.0380	0.0145	0.0021
Size of own land	−0.4137	0.2963	−0.1543	0.1717	−0.0083
Family size in AE	0.1200	0.1760	0.7786	0.1238	0.0421
Dependency ratio	−0.0803	0.2345	−0.1665	0.1496	−0.0090
Livestock holding (TLU)	0.0844	0.0267	0.0262	0.0100	0.0014
Cons	4.8324	6.1592	−3.7726	3.4970
Number of observation = 313; Log-pseudo-likelihood = −79.33; Wald chi^2 (32) = 664.97; Prob > chi^2 = 0.0000		Rho = 0.729; Wald’s test of rho = 0: chi^2 (1) = 0.8004; Prob > chi^2 = 0.0371; y = Pr (WTP1 = 1, WTP2 = 1) (predict, p11) = 0.977

, , and show significant variables at 1%, 5%, and 10% probability levels, respectively. Source: own survey results, 2021.