Is radio an effective method for delivering actionable information for responding to emerging pest threats? A case study of fall armyworm campaign in Zambia

Table 5 Factors affecting FAW awareness, monitoring and management

Variable	Identification		Monitoring		Management
Independent variables	Coef	Std. Err	Coef	Std. Err	Coef	Std. Err
Land planted with Maize (ha)	0.05	0.047	0.02	0.041	0.03	0.050
Radio listening frequency	0.02	0.053	− 0.07	0.046	− 0.03	0.056
Respondent gender (male = 1)	0.13	0.125	0.02	0.109	0.11	0.132
Total number of HH members	0.03*	0.021	− 0.01	0.019	0.05**	0.023
Listened to radio (1 = Yes)	0.41*	0.15	0.20*	0.130	0.74***	0.159
Education of HH head Primary (1 = Yes)	− 0.4	0.289	− 0.08	0.251	− 0.07	0.306
Education of HH head Secondary (1 = Yes)	− 0.27	0.298	− 0.16	0.259	0.10	0.315
Education of HH head university (1 = yes)	− 0.18	0.568	0.10	0.493	0.11	0.600
Belong to farmers group (1 = yes)	0.13	0.186	0.23	0.162	0.03	0.197
Own mobile phone (1 = Yes)	− 0.06	0.172	− 0.07	0.150	− 0.02	0.182
Number of HH members working off-farm	0.09	0.074	0.06	0.064	− 0.20***	0.078
Aged: Under 35 years	0.3	0.212	− 0.43**	0.184	− 0.27	0.224
Aged between 36 and 60 years	0.31**	0.146	0.00	0.127	0.02	0.155
Province: Eastern	− 0.81***	0.266	− 0.63***	0.231	− 0.78***	0.281
Province: Luapula	− 0.27	0.283	− 1.76***	0.246	− 0.97***	0.299
Province: Copperbelt	0.13	0.273	− 0.29	0.237	− 0.38	0.289
Constant	− 0.41	0.429	0.76**	0.372	− 0.29	0.453

*** Significant at 1% level, ** significant at 5% level, *Significant at 10% level
Southern province was set as the base, Age above 60 set as base and Vocational education as base

ISSN: 2662-4044