#sector-component

Agricultural products export is considered as a development engine for Rwanda's overall economy, but despite these efforts, the sector is nevertheless characterised by poor yields, low input levels, and limited cultivation areas due to the government's reliance on mono-cultural economy. This research attempts to investigate the significance of agricultural exports to Rwanda's economic growth. The panel of data used came from the Central Bank of Rwanda's statistical bulletin and the National Agricultural Development Board (NAEB). Multiple regression was used to analyse the data, and the results showed a positive relationship between agricultural export and GDP (domestic saving, government expenditure on agriculture, and foreign direct investment) over the time period studied 2013-2016. Domestic Savings, Government Expenditure, and Foreign Direct Investment accounted 81 percent, 62 percent, and 41 percent of the difference in GDP for tea, coffee, and flowers, respectively, according to the research. To improve the agricultural sector, it is recommended that the government provide more funding to Rwandan agricultural universities so that they can conduct research on all aspects of agricultural production. This will result in more exports and a boost in Rwandan agriculture's competitiveness in international markets. The Rwandan Central Bank should also develop a consistent strategy for disbursing loans to farmers at a reasonable interest rate. Please see the link :- https://www.ikprress.org/index.php/JET/article/view/99

Using data from the 1996 and 2001 household surveys, this study examines the division of poverty and inequality into sector components in Cameroon. The research goals are to: 1) examine the evolution of poverty and inequality between 1996 and 2001, 2) evaluate the relative contributions of within and between sector effects to changes in aggregate poverty, 3) evaluate the relative contributions of within and between sector effects to levels and changes in inequality, and 4) derive policy implications from the analysis. The empirical estimates were calculated using a non-parametrically determined money-metric in the DAD 4.4 programme. The results of the poverty study demonstrate that Within-zones effects account for a greater proportion of monetary poverty changes than Between-zones impacts. In terms of inequality, income emphasises the importance of within-group components in explaining developments in inequality. In terms of policy, we support measures that promote labor-intensive growth. Please see the link :- https://www.ikprress.org/index.php/JET/article/view/99