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Table 7 Mixed multinomial logit estimates on determinants of training source access

From: Production, consumption, and market supply of edible crickets: insights from East Africa

 

NGOs

Public University

Gender head (1 = Male)

− 0.209 (0.727)

0.256 (0.577)

Age

− 0.017 (0.029)

− 0.058** (0.028)

Education

− 0.033 (0.127)

− 0.085 (0.107)

Household size

0.130 (0.165)

0.042 (0.142)

Annual income (log)

− 0.072 (0.216)

− 0.144 (0.232)

Distance to market (log)

− 0.449 (0.318)

− 0.083 (0.277)

Access credit

− 0.276 (0.630)

0.663 (0.578)

Consume crickets

0.188 (0.824)

− 2.104*** (0.711)

Rural group membership

2.379 (1.612)

0.426 (0.961)

Location

4.261*** (1.160)

1.902*** (0.685)

_cons

− 2.148 (3.807)

4.928 (3.096)

  1. The baseline is cricket farmers that received training from other farmers; n = 301; Robust standard errors in parentheses; Level of significance: *10%, **5%, ***1%
  2. We use a dummy for location as a proxy for proximity to training source as an instrument in training access equation. We presume that farmers close within Kisumu and Siaya are closer to training source since the one of the public university that offered training and the NGO are located in these two counties