Determinants of wheat value chain in case of North Shewa Zone of Amhara region, Ethiopia

Figures & data

Table 1. Variable discerption

Variables	Variable discretion	Measurement	Expected sign
Sex	Sex of household	1 = male 0 = female	−
Participation Off farm income	Participation of respondents on off farm income	1 = participant 0 = non participant	−
Market information	Availability of market information	1 = available 0 = non available	+
Market outlet	Alternative market outlet	1 = Trader 2 = cooperative 3 = proposer	+
credit access	Availability of credit service to farmers	1 = access 2 = did not access	+
EXS	Access to extension services	1 = access 2 = Did not access	+
DFMR	Distance from main road	Measured in km	−
Age	Age of respondents	Life span (year)	−
HFS	Household family size	Number	+
AGRIEX	Agricultural experience of respondents	Number of year	+
Landw	Land available for wheat crop cultivation	hectare	+
Soldw	Amount of wheat produced for sale	kg	+
Pricew	Average price of wheat	Birr	+
DFM	Distance from market	km
TLU	Number of livestock	Tropical livestock unit
EDUC	Education level of respondents	Schooling year

Table 2. Result of descriptive statistics

Discrete variable				Continuous variable
Variable	Categories	Freq.	Present	Variable	Observation	Mean	Standard dv.
Sex	Female	31	7.85	DFMR	95	2.40841	4.22109
	Male	364	92.15	Age	95	43.6683	11.5863
	Total	395	100	HFS	95	4.86075	2.12749
Participation Off farm income	Yes	168	42.53	particofff~m	95	.574683
	No	227	57.47	AGRIEX	94	.495017	24.4543
	Total	395	100	Landw	95	.913670	2.49162
Market information	No	31	7.85	Produced wheat	95	29.3272	25.7317
	Yes	364	92.15	Soldw	94	13.9961	14.4422
	Total	395	100	Pricew	95	14.9974	5.23508
Market outlet	Coop	112	28.35
	Whole	273	69.11
	Retail	10	2.35
	Total	395	100
redit access	Yes	351	88.86
	No	44	11.14
	Total -+	0395	100
EXS	No	35	8.86
	Yes	360	91.14
		395	100

Source: Own data analysis, 2020

Table 3. Determinants of market supply of wheat

Variables	Coefficients	Standard error
DFMR	−0.29376**	0.142454
SX	0.449722	1.888435
Age	−0.07082	0.077082
HFS	0.429083	0.276618
AGRIEX	0.069457	0.069558
Land for wheat	−0.03063	0.226257
Product of wheat	0.350983***	0.019943
Price of wheat	0.21077***	0.067981
Accessing market info	0.939843	1.92538
DFM	−0.30711***	0.094306
ACCRE	1.64847	1.659654
EXS	−0.74665	1.805834
TLU	−0.07604	0.141955
EDUC_02	1.725156	1.208475
EDUC_03	3.168131*	1.772271

N = 395, R² = 0.52, ***,** and * refers significant level at 1%, 5% and 10%, respectively.

Source own data analysis result, 2020.

Table 4. Binomial logit regression result for factors influencing value addition of wheat

Variable	dy/dx	Std. Err.
SX	.0490207	.09961
Age	.0001763	.00405
HFS	0271429*	.01462
AGRIEX -.	0028252	.00369
LandW.	0403435	.05576
ProdW	.0012014	.00136
PriceW	.0024106	.00545
mktinfo	.175591*	.0932
DFM	−.0181777***	.00579
ACCRE	−.0974712	.09231
EXS	−.0075576	.09387
TLU	−.0154798**	.00753
EDUC_02	.0845881	.05775
EDUC_03	−.0253786	.0649

Number of observations = 395, Pseudo R² = 0.35, LR chi² (13) = 28.85, Log likelihood = −257.31083

*** ** and * are statistically significant at 1%, 5% and 10%, respectively.

Source: Survey analysis result, 2020.

Table 5. Results of Multinomial Logit for choice of wheat market outlets

Market outlet	dx/dy	Coef.	Std. Err.
Wholesalers
SX	−.0474233	−.4956214	.486781
Age	.0049541	.0288059	.019647
HFS	.0119551	.0109221	.0688222
AGRIEX	−.0042715	−.0172167	.017498
COPMEMB	−.0047976	.0236454	.5116688
OFFINC	.0585525*	.4985277	.2621156
PriceW	.0045813	.030555	.0265342
Mktinfo	.1550616*	. 9,922,196	.5458552
DFM	−.0115599**	−.0572538	.0259902
ACCRE	.1212397	. 5,720,494	.4311735
EXS	−.1445579	−.2913975	.4071306
TLU	−.0130578**	−.0825446	.035925
EDUC_02	.0037868	−.2690458	.2742255
EDUC_03	.022622	.017299	.2846985
Processor			(Base outcome)
Cooperatives
SX	−.0474233	−.6702398	.4934875
Age	.0049541	.0178779	.0214925
HFS	.0119551	−.1194398	.0765254
AGRIEX	−.0042715	.0057301	.0195555
COPMEMB	−.0047976	.125707	.5348288
OFFINC	.0585525**	.6595433	.2888774
Price	.0045813	.0274017	.0284192
Market info	.1550616	.5975288	.5545469
DFM	−.0115599	−.0140744	.0218402
ACCRE	.1212397	.0687342	.4716596
EXS	.1445579*	1.25212	.6643136
TLU	−.0130578*	−.0654903	.0383619
EDUC_02	.0037868**	−.7503227	.2996477
EDUC_03	.022622	−.2353566	.3697329

Source own data analysis 2020.