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THE                      JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.81, # 2, 2024, pp. 30-59

                    With regards to agricultural training, the finding reveals that an increase in agricultural
                    training will increase agricultural yield by 0.3%, statistically significant at 1% level
                    of significance. There is general agreement that training increases productivity, and a
                    number of literature exist documenting the positive effects of the training on human
                    capital  development.  This  therefore  explains  the  positive  effect  of  training.
                    Furthermore, the results show that households who primary activity is  agriculture
                    leads  to  an  increase  in  crop  yield  by  6%,  statistically  significant  at  10%  level  of
                    significance.  The  results  may  therefore  mean  farmers  with  agriculture  as  primary
                    activity tend to devote their resources to ensure maximum productivity as it is their
                    main source of livelihood.

                    Furthermore, the results show that a unit increase in the use of modern agricultural
                    equipment  will  increase  agricultural  production  by  7%  and  8%  in  the  2SLS  and
                    control  function  models  respectively.  However,  the  results  are  statistically
                    insignificant.  The  place  of  residence,  access  to  credit,  use  of  modern  agricultural
                    equipment, cost of fertilizers, use of specialised seeds and household size also presents
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                    statistically insignificant results. The control function without interaction R reveals
                    that  only  19%  of  variation  in  agricultural  production  is  being  explained  by  the
                    independent variables specified in our model. This may be due to the absence of data
                    on  some  observable  characteristics  of  agricultural  production  that  have  not  been
                    controlled  for  in  the  regression  due  to  unavailability  of  data,  other  unobservable
                    characteristics unknown to the researcher that influence agricultural production such
                    as soil quality as well as measurement errors both random and systematic.

                    Women Empowerment Effect on Agricultural Production by Marital Status
                    Agriculture is one of the most stable jobs one may have though time consuming and
                    stressful job in Cameroon, hence those involved may always want to marry as their
                    spouse act as a complement in executing their duties.















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