Do Agricultural stakeholder panels enhance post-harvest loss reduction? Evidence from Malawi

Amadu, Festus O.; McNamara, Paul E.

doi:10.1186/s40066-024-00481-5

Agriculture & Food Security

Table 3 Main estimates of the effects of ASPs and covariates on post-harvest loss reduction in Malawi

From: Do Agricultural stakeholder panels enhance post-harvest loss reduction? Evidence from Malawi

Variable	Coef	SE	P value	ME	Std. Err	P value
Interaction with ASPs	− 1.654**	0.750	0.027	− 0.525**	0.249	0.035
Age	0.004	0.003	0.199	0.001	0.001	0.196
Male-headed household	0.103	0.162	0.523	0.033	0.051	0.521
High school plus	0.072	0.130	0.579	0.023	0.041	0.579
Married	− 0.076	0.109	0.485	− 0.024	0.035	0.485
Household size	− 0.027	0.026	0.304	− 0.009	0.008	0.308
Number of adults per household	0.074	0.056	0.189	0.024	0.018	0.190
Farmer field day	− 0.267***	0.099	0.007	− 0.085***	0.031	0.006
Multiple EAS sources	0.238	0.456	0.602	0.075	0.145	0.602
Credit constraint	0.124	0.090	0.170	0.039	0.029	0.171
Livestock ownership	0.070	0.145	0.627	0.022	0.046	0.627
Market constraints	0.580***	0.105	0.000	0.184***	0.031	0.000
Fertilizer constraint	0.407***	0.114	0.000	0.129***	0.034	0.000
Off-farm income	0.141	0.276	0.610	0.045	0.087	0.607
Distance to markets	0.000	0.000	0.128	0.000	0.000	0.126
Transportation constraint	0.310***	0.099	0.002	0.098***	0.031	0.001
Storage constraint	0.156*	0.091	0.088	0.049*	0.029	0.086
Balaka	− 0.512*	0.286	0.074	− 0.162*	0.091	0.073
Blantyre	− 0.215**	0.120	0.038	− 0.068***	0.006	0.001
Chikwawa	− 0.393***	0.116	0.002	− 0.125**	0.062	0.037
Dedza	− 0.404	0.260	0.120	− 0.128	0.082	0.118
Lilongwe	− 0.482**	0.246	0.050	− 0.153**	0.078	0.050
Machinga	− 0.286**	0.142	0.041	− 0.091***	0.017	0.004
Mangochi	0.461	0.281	0.101	0.146	0.089	0.100
Mchinji	− 0.191***	0.038	0.006	− 0.061***	0.021	0.009
Nsanje	− 0.420**	0.205	0.032	− 0.133**	0.064	0.032
Ntcheu	− 0.078**	0.043	0.049	− 0.025*	0.013	0.071
Dowa	− 1.337*	0.739	0.070	− 0.424**	0.215	0.041
Karonga	− 1.374***	0.760	0.000	− 0.388***	0.220	0.000
Kasungu	− 0.056	1.191	0.962	− 0.018	0.379	0.962
Mwanza	0.319	0.579	0.582	0.101	0.183	0.580
Nkhatabay	− 0.874*	0.497	0.079	− 0.278*	0.160	0.082
Nkhotakota	− 0.519	0.644	0.420	− 0.165	0.204	0.420
Phalombe	− 0.200	0.392	0.611	− 0.063	0.125	0.613
Rumphi	− 0.550**	2.239	0.042	− 0.444**	0.680	0.034
Thyolo	− 0.389	0.772	0.615	− 0.123	0.248	0.618
Constant	1.093	0.971	0.260
Wald Chi-Square	549.76***		0.000
Log Pseudoliklihood	− 989.58***		0.000
rho	0.438**	0.151	0.021
Wald test of rho = 0	6.318***		0.012

Zomba is the base category district; SE, Standard Error; Asterisks ***, **, *, significance at the 1%, 5%, and 10% levels, respectively

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ISSN: 2048-7010

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