Page 50 - Azerbaijan State University of Economics
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THE                      JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.81, # 2, 2024, pp. 30-59

                    This implies women play a critical role in agricultural production in Cameroon. This
                    is  consistent  with  the  findings  of  Tambi  et  al  (2017)  who  revealed  that  rural
                    households headed by women with physical capital and farm financial management
                    skills empowerment were more likely to be more productive and food secure. This is
                    also in line with the Nyako (2013) who revealed that the gains against hunger in
                    developing  countries  within  1970–1995  years  were  due  to  the  improvement  of
                    women’s situation within the society during that period.  Sharaunga et al (2016) also
                    ascertains that, to achieve agricultural development, empowerment which enhances
                    human  capital  should  be  added  to  the  investment  in  production  techniques  and
                    technology because information and knowledge are prerequisites for farmers to adopt
                    technology, access input, change ways of doing things and market their produce. The
                    effect of agricultural financing which is positive and insignificant in the 2SLS, has a
                    positive and significant effect on agricultural production at 10% level of significance
                    in the control function model. A unit increase in agricultural financing will lead to a
                    45% increase in crop yield. This finding corroborates with Agnes et al (1995). This is
                    also in line with expectation as agricultural finance from the both governmental and
                    nongovernmental organisations is expected to boost the resources required as inputs
                    to improve on crop yield and also reduce the working capital constraints to adopting
                    new inputs for the farm.

                    In the relation to socioeconomic status, it is observed that households that are non-
                    poor have a negative effect on agricultural production. This is insignificant with the
                    2SLS and significant at 10% with the control function model which demonstrates that
                    non poor households will decrease agricultural production by 56%. The finding is
                    similar to Budlender (2010). This also confirms with a priori expectations since the
                    socio economic status shows the relative standards of living of various household and
                    as such reveal that the poor who have less access to basic necessities will be mostly
                    involved in agriculture rather than the wealthy with better living standards and access
                    to the basic necessities of life. In relation to formal agricultural training, the results of
                    both models reveal that training which may be agricultural workshops; on the field
                    training; and training by agricultural organisations, have a significant and positive
                    effect on agricultural production in Cameroon. This is in line with a priori expectations
                    as this training includes skills to improve productivity, increase adaptability to deal
                    with change and crisis, and facilitate the diversification of livelihoods to manage risks.
                    The training in new sets of skills which can be applied to farming is therefore an
                    important source of support to agricultural development.






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