Assessing risk perception and determinants of branding as a risk mitigation tool among rice producers in Ghana (Published)

Rice is remains an important crop in Africa, which serves as food for a large percentage Africa’s population and has the potential to help reduce poverty and alleviate food insecurity. Educating farmers to increase competitiveness via branding will help mitigate risk and increase farmers income. This study accesses risk perception and analyse branding as a risk mitigation tool among rice producers in the Volta Region of Ghana. The study relied on a structured question to elicit response from 395 rice producers via convenience and purposive sampling. Ordinary least square (OLS) was used to analyse effect of branding on local rice producer’s risk and factor analysis was used to examine perception of risk faced by rice producers. Branding was found to decrease producers risk whiles variety in prices and type of rice produced increases producers risk. Hence the study recommends that effective branding can be used as a risk mitigation tool for rice farmers.

 

Citation: Edinam Fred Degboe, Nicholas Oppong Mensah, Jeffery Kofi Asare,  Tekuni Nakuja,  and  Frank Osei Tutu (2021) Assessing risk perception and determinants of branding as a risk mitigation tool among rice producers in Ghana, Global Journal of Agricultural Research , Vol.9, No4, pp.1-24

Keywords: Branding, Factor analysis, OLS regression, risk mitigation, risk perception

MEASURE THE RELATIONSHIP B BETWEEN THE DISTRIBUTION OF THE AGRICULTURAL LABOR FORCE AND INDICATORS OF ECONOMIC GROWTH IN IRAQ USING THE STYLE FACTOR ANALYSIS (Published)

We discussed in this research the effect of the distribution of the agricultural labor force in Iraq by indicators of economic growth for the period (1986-2010) using (Factor Analysis) and through the use of statistical software SPPS The results of the analysis showed the presence of a strong and significant effect correlation coefficients, which gives a clear picture of the existence of inherent linear (multi-linear) between these independent variables and their impact in the approved variables that represented respectively (contribution of the agricultural gross domestic product to GDP (Y1), simple agricultural GDP growth rate (Y2), average per capita agricultural GDP (Y3), average per capita agricultural output growth rate (Y4), the productivity of agricultural worker (Y5). The research showed results that workers without a certificate had an impact in the high productivity of agricultural worker which was used as one of the indicators of economic growth, because the agricultural process in Iraq was built on the basis of gaining experience through practicing work, in addition to its dependence on the younger age groups as a result of failure of agricultural technologies that do not require from the agricultural worker to be College educated

Keywords: Agricultural Labor, Distribution of Agricultural Labor Force, Factor analysis, Productivity, Public Sector, Ridge Regression