V.M.  Manyong, J.O.  Akintola, L.O.  Olarinde, 
    Economic Perspectives of the Diversity of Risks among Crop Farmers in the Northern Guinea Savanna of Nigeria,
    The Social Sciences,
    Volume 6,Issue 4,
    2011,
    Pages 262-268,
    ISSN 1818-5800,
    sscience.2011.262.268,
    (https://makhillpublications.co/view-article.php?doi=sscience.2011.262.268)
    Abstract: In this study, we examine the diversity of risks that affect 
  farming in the Northern Guinea Savanna of Nigeria. We also investigate the perspectives 
  of these risks in relation to their economic implications on the farming enterprises. 
  We also show that through reorganization of these risks, some derived factors 
  have the ability to present themselves whether as corresponding to existing 
  categorization of the variables or not and also to enable us know which of the 
  factors is more important than the other. Gross margin and factor analytical 
  methods were used in computing the estimated results on a cross sectional sample 
  of 348 farming households. Results show that farmers who were grouped under 
  natural risk incurred the least mean production cost of <img src="http://docsdrive.com/images/medwelljournals/sscience/2011/img3-2k11-262-268.gif" width="14" height="12" align="absmiddle">11, 
  115.61 while the highest mean production cost of <img src="http://docsdrive.com/images/medwelljournals/sscience/2011/img3-2k11-262-268.gif" width="14" height="12" align="absmiddle">15,998.18 
  was incurred by farmers grouped under production risks. The highest mean revenue 
  of <img src="http://docsdrive.com/images/medwelljournals/sscience/2011/img3-2k11-262-268.gif" width="14" height="12" align="absmiddle">18, 
  998.16 was recorded by farmers under production risk which translated into a 
  mean gross margin of <img src="http://docsdrive.com/images/medwelljournals/sscience/2011/img3-2k11-262-268.gif" width="14" height="12" align="absmiddle">65, 
  999.85. Verifying whether some derived factors would correspond to the existing 
  categorization of 14 risk types (from five sources) which the farmers faced, 
  results from the factor analysis and the consequent F-test from ANOVA show no 
  marked or significant differences among the identified factors and the existing 
  risk sources. Consequently, the individual effect or importance of the original 
  14 risk types that the sampled farmers considered important can be dully represented 
  and effectively regrouped into five sources (factors) as natural, technical, 
  social, ecosocial and biochemical.
    Keywords: farming enterprises;analytical methods;production risk;sectional sample;Nigeria;Savanna