Analysis market outlet choice of smallholder chickpea producers in Northwest part of Ethiopia

Figures & data

Figure 1. Map of Este.

Table 1. Characteristics of chickpea producers in relation to choice of market outlet

Characteristics	Item	Frequency and percentage
		Wholesaler	Retailer	Collector	Consumer
Gender	Male	(31)88.6%	(25)86.2%	(20)69.0%	(27)93.1%
	Female	(4)11.4%	(4)13.8%	(9)31.0%	(2)6.9%
Off-farm Income	Yes	(10)28.6%	(7)24.1%	(7)24.1%	(6)20.7%
	No	(25)71.4%	(22)75.9%	(22)75.9%	(23)79.3%
Transport facility	Yes	(11)31.4%	(3)10.3%	(7)24.1%	(10)34.5%
	No	(24)68.6%	(26)89.7%	(22)75.9%	(19)65.5%
Market information	Yes	(26)89.7%	(26)74.3%	(22)75.9%	(25)86.2%
	No	(3)10.3%	(92)5.7%	(7)24.1%	(4)13.8%

Source: Own survey result, 2019/20.

Figure 2. Market channel of chickpea in the study area.

Table 2. Probability, overall fitness and correlation matrix of market outlet in MVP model

Market outlet
Variable	Wholesaler		Retailer			Collector			Consumer
Probability of selecting	0.36		0.305			0.253			0.354
Joint probability (success)									.0001537
Joint probability (failure)									.1340651
Simulation draws									5
Observation									122
Log likelihood									−206.13559
Wald (χ2(60))									113.47
Prob>χ2									0.0000***
Estimated correlation matrix
	ρ1		ρ2			ρ3			ρ4
ρ1	1.0000
ρ2	−.325** (−0.261)		1.0000
ρ3	−.532*** (−0.310)		−.456**(−0.119)			1.0000
ρ4	−.020(−0.005)		−.023(−0.090)			−.202(−0.333)			1.0000
The likelihood ratio test	ρ21= ρ31 = ρ41 = ρ32 = ρ42 = ρ43 = 0:
			χ2(6) = 29.7787
			Prob>χ2 = 0.0000

***, and **are statically significance at 1, and 5 % significance level respectively.

Source: Own survey result, 2019/20.

Table 3. Multivariate probit estimation result for determinant of market channel choice

Variable	Wholesaler		Retailer		Collector		Consumer
	Coef.	Se.	Coef.	Se.	Coef.	Se.	Coef.	Se.
GENDER	.353	.394	.498	.447	−1.084**	.424	.290	.533
EDUHH Read and write
	.199	.290	.084	.302	033	.393	1.315***	.348
Primary	−.166	.502	.358	.534	−.710	.609	1.901***	.584
Secondary	1.657***	.568	−.964	.885	−.600	.605	1.035	.635
FYSIZE	.075	.067	−.097	.067	−.012	.082	−.250***	.092
TLU	.053	.094	−.040	.099	−.039	.123	−.129	.107
FARMSIZE	.317	.229	−.205	.249	.267	.274	.390	.254
CHPPROD	−.038	.065	−.007	.072	−.025	.087	−.027	.074
OFFFARMN	.924 ***	.313	−.042	.321	−1.069 **	.460	1.029 **	.383
EXPCE	−.018	.014	−.007	.012	−.018	.013	.004	.015
EXTCO	−.134	.097	.122	.090	−.137	.103	058	.111
MRKINFO	−.287	.382	.004.	.386	1.074	.521	457	.464
PRICE	.182*	.104	−.340***	.108	−.515***	.136	.225*	.125
DISMKT	.001	.004	.003	.004	−.007	.005	−.008*	.005
CREDIT	039	.307	−.571*	.318	.553	.370	.124	.369
_cons	−4.242**	1.981	5.713***	2.009	9.073***	2.669	−4.392*	2.428

***,**and* are statically significance at 1,5 and 10 % significance level respectively.

Source: Own survey result, 2019/20.

Data availability statement

The author wants to declare that they can submit the data at any time based on publisher’s request. The datasets used and/or analyzed during the current study will be available from the author on reasonable request.