The Effects of Human Capital on Agricultural Productivity and Farmer’s Income in Cameroon

Abstract

This study evaluates how human capital affects agricultural productivity and farmer's income in Cameroon. Precisely, this study adopts methodologies that evaluate agricultural productivity, establish the stochastic frontier model and specify the returns to human capital. The database used to produce the empirical results is the Third Cameroonian Household Survey conducted by the National Institute of Statistics. Results obtained indicate that an additional year of experience and levels of education increases agricultural productivity. However, an additional year of experience squared denotes that the producer reduced his level of inefficiency. While an additional unit of education reduces the level of inefficiency. In addition, an additional year of education and years of experience squared increases farmer's income. To provide a solution to the problem of food insecurity, the government should allow farmers to endow more in human capital.

Assessing the effect of climate change and financial development on agricultural production in ASEAN-4: the role of renewable energy, institutional quality, and human capital as moderators

“…The result shows that 1% increase in human capital is associated with 1.65% and 1.42% increase in agricultural production during the short run and long run respectively. This finding falls in similar line with Djomo and Sikod (2012) for Cameroon and Lanzona (2013) for Philippines. In an analysis of Asian countries, Liu et al (2020) found that agricultural productivity in Southeast Asian countries is determined primarily by human capital and hence investment in human capital is desirable and optimal for these economies.…”

“…The impact of human capital development on agriculture sector productivity and income of farmers in Cameron has been investigated by Djomo and Sikod (2012). They have employed a stochastic frontier model on household-level data that is collected from the National Institute of Statistics.…”

Prediction of Consumption Choices of Low-Income Groups in a Mixed-Income Community Using a Support Vector Machine Method

“…As a kind of reproduction activity, development consumption often can generate more lasting effects than the consumption of durable goods. It is a kind of investment that can stimulate increases in income in the future [23,24]. Policy implementers expect that the cross-strata neighboring behavior in a mixed-income community can change the consumption choices of individuals in a low-income group and shift their propensity for consumption, which will likely increase development consumption and contribute to the spiritual enrichment of low-income group members, and help them to accumulate skills and capabilities to better integrate them into new strata and groups.…”

The Causal Effect оf Education оn Earnings іn Urban аnd Rural South Africa: а Further Update

“…Th e human capital theory expressed the notion that individuals acquire skills and knowledge to in- crease their value in labour market . Th e theory postulated that income from labour is a function of training, education and experience (Djomo & Sikod, 2012). According to this theory, education increases productivity and the higher the productivity, the higher the wages Mincer, 1974).…”