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EN
This paper examined determinants of income diversification among households in support zones communities of national parks in Nigeria. This involved the use household data collected through questionnaires administered randomly among 1009 household heads in the study area. The data obtained were analyzed using probability and non-probability statistical analysis such as regression and analysis of variance to test for mean difference between parks. The result obtained indicates that majority of the household heads were male (92.57%0, between the age class of 21 – 40 years (44.90%), had non-formal education (38.16%), were farmers (65.21%), owned land (95.44%), with a household size of 1 – 5 (36.67%) and an annual income range of ₦401,000 - ₦600,000 (24.58%). Mean Simpson index of diversity showed a general low (0.375) level of income diversification among the households. Income, age, off-farm dependence, education, household size and occupation where significant (p<0.01) factors that affected households’ income diversification. The study recommends improvement in the existing infrastructures and social capital in the communities as avenues to improve the livelihood and ensure positive conservation behaviors in the study area.
EN
The livelihood approach aims at the analysis, understanding and restrictions that the poorest people have to face in order to recover from difficult situations. The Department for International Development model is applied to an urban zone with the purpose of making an assessment of the livelihood of the district ’la Comuna 1’ in Medellin, Colombia, which has been recognised as the poorest and one of the most dangerous districts of the city. The case study presents both a quantitative analysis (macro) and qualitative (micro) analysis, as a mixed method that allows a more complete analysis and understanding of livelihood, and providing a deeper understanding of the district from the livelihood approach. The results indicate a stable growth of livelihood during the period of analysis.
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