Value chain analysis in sugarcane production in Busanza subcounty, Kisoro sistrict.
Abstract
Recent developments in the sugarcane industry also demonstrate notable drops in water usage,
making sugarcane ethanol one of the solutions with the lowest water footprint. The need to
further improve the environmental advantages of sugarcane ethanol by optimizing the
agricultural production chain is shown by the growing realization of a great potential. The
adoption of best management practices is one of the researchable priorities that can be
established to consolidate the huge potential of sugarcane production towards increased
sustainability as a result of this improved understanding. This article is a comprehensive review
of the state-of-the-knowledge and the main advances made thus far in the sugarcane sector. Here,
we review the major factors of rapidly expanding sugarcane plantation(Kshirsagar, n.d.)
25% of the population in Uganda is directly and indirectly supported by the sugar business. The
sector employs the majority of households in Uganda and contributes 15% of the country's
agricultural GNP. Between 2009 and 2014, Uganda’s sugarcane production fell from a moderate
to low production because there was a low price of raw sugarcane and inadequate processing
machines. Researchers have been drawn to this topic because of the reduction, but most of their
research has mainly concentrated on agricultural factors without taking into account the
socioeconomic factors that affect cane production. Therefore, the goal of this study was to
identify socioeconomic factors that influence sugarcane output among small-scale farmers in the
Busanza-sub county Kisoro district.
A total of 83 cane farmers answered to the questionnaires used to gather the study's primary data,
which was based on the production theory. Records kept by farmers served as secondary data.
The test-retest methodology was used to determine the reliability of the research instruments. To
determine the direction and strength of the study variables' influences on cane output, multiple
regression was performed. The research found that variable education level was 8.69 at p value=0.000, experience =1.39 at p-value=0.000, age =10.51 at p-value=0.000, and income
=288882.1Ugx at p-value=0.000 and credit =0.47 at p-value=0.00 with nland size=1.9 at p value=0.00) significantly increased cane yield. Additionally, it was discovered that gender
significantly affected cane output, with a p-value of 0.050 and a =173003.8 tons. It is advised
that additional investments be made in to boost cane output, on land increasing land size, through
agricultural extension, weeding and weed control, and seed cane and planting and pests control
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and pests management. The study also suggests strategies to boost cane production in homes
with female heads of household.
(nelson n.d)