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GENERAL & APPLIED ECONOMICS

Determinants of access to trainings on post – harvest loss management among maize farmers in Uganda: a binary logistic regression approach

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Article: 2148359 | Received 16 Apr 2022, Accepted 13 Nov 2022, Published online: 22 Nov 2022

Figures & data

Figure 1. Conceptual framework.

Figure 1. Conceptual framework.

Figure 2. Geographic location of the study area.

Figure 2. Geographic location of the study area.

Table 1. Explained and explanatory variables

Figure 3. Frequency of farmers with access to PHL management trainings.

Sources of PHL management trainings
Figure 3. Frequency of farmers with access to PHL management trainings.

Table 2. Sources of PHL trainings

Table 3. Comparison of access to PHL trainings across farmers’ socio-demographics

Table 4. PHL management practices adopted by the farmers

Figure 4. Barriers impeding access to PHL management trainings.

Figure 4. Barriers impeding access to PHL management trainings.

Table 5. Binary logit estimates of the determinants of access to PHL trainings