Enhancing Innovation in the Ugandan Agri-Food Sector: Robusta Coffee Planting Material & Tropical Fruit Processing

Enhancing Innovation in the Ugandan Agri-Food Sector: Robusta Coffee Planting Material & Tropical Fruit Processing PDF

Author: World Intellectual Property Organization

Publisher: WIPO

Published: 2017

Total Pages: 83

ISBN-13:

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Uganda's innovation performance in recent years has consistently outpaced other low-income and Sub-Saharan African countries. Though encouraging, this nascent progress will only benefit the broader Ugandan population if policy makers address specific constraints in the innovation systems of the critical agri-food sector, which is hampered by low productivity and profitability. In this report, we explore these constraints using an agricultural value chains framework with particular focus on the Robusta Coffee Planting Material Pipeline and tropical fruit processing.

FORUM 5

FORUM 5 PDF

Author: Forum for Agricultural Resource Husbandry. Regional Meeting

Publisher:

Published: 2002

Total Pages: 660

ISBN-13:

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Determining Factors and Impacts of Modern Agricultural Technology Adoption in West Wollega

Determining Factors and Impacts of Modern Agricultural Technology Adoption in West Wollega PDF

Author: Merga Challa

Publisher: GRIN Verlag

Published: 2014-09-16

Total Pages: 96

ISBN-13: 3656744033

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Master's Thesis from the year 2013 in the subject Agrarian Studies, Wollega University (School of graduate studies), language: English, abstract: This study analyzed factors affecting modern agricultural technology adoption by farmers and the impact of technology adoption decision on the welfare of households in the study area. The data used for the study were obtained from 145 randomly selected sample households in the study area. Binary logit model was employed to analyze the determinants of farmers’ decisions to adopt modern technologies. Moreover, the average effect of adoption on household incomes and expenditure were estimated by using propensity score matching method. The result of the logistic regression showed that household heads’ education level, farm size, credit accessibility, perception of farmers about cost of the inputs and off-farm income positively and significantly affected the farm households’ adoption decision; while family size affected their decision negatively and significantly. The result of the propensity score matching estimation showed that the average income and consumption expenditure of adopters are greater than that of non-adopters. Based on these findings it is recommended that the zonal and the woreda leaders extension agents farm and education experts, policy makers and other development oriented organizations have to plan in such a way that the farm households in the study area will obtain sufficient education, credit accessibilities and also have to train farmers to make them understand the benefits obtained from adopting the new technologies. These bodies have also to arrange policy issues that improve farm labour participation of household members and also to arrange the ways in which farmers obtain means of income outside farming activities.