Drivers of commercialization: A case of indigenous chicken production in northern Uganda

Aryemo, I. P.; Akite, Irine; Kule, Enos; Kugonza, Donald R.; Okot, Marion Wilfred; Mugonola, Basil

doi:10.1080/20421338.2019.1573957

Cited by 8 publications

(6 citation statements)

References 12 publications

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“…The economy of scale will naturally lead to a reduction in the production cost, and hence, enhanced profitability. Our result is supported by the findings of Emaikwu et al (2011), Mishra et al (2012), Etuah et al (2013), Nehring et al (2015), Khan and Afzal (2018), Aryemo et al (2019) who had earlier reported a positive association between flock size and profitability.…”

Section: Discussionsupporting

confidence: 91%

What are the Drivers of Profitability of Broiler Farms in the North-central and South-west Geo-political Zones of Nigeria?

Adeyonu

Odozi

2022

Sage Open

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This study analyzed the drivers of the profitability of broiler farms in the north-central and south-west geo-political zones of Nigeria. A multi-stage sampling technique was employed to choose a representative sample. A pre-tested, structured questionnaire was employed to gather cross-sectional data from 645 respondents between November 2017 and February 2018 for 2017 production year by trained enumerators. The data were analyzed with budgetary model, descriptive and inferential statistics. The results show that feed constitute about 75% of the total variable cost of producing 1 kg of the broiler. The cost implication of producing 1 kg of broiler stood at ₦583.20, while revenue realized from the sales of the same quantity of broiler was ₦734.69. The study further revealed that broiler farming is a profitable enterprise with profitability index of 39.85%. Furthermore, the positive drivers of profitability of broiler farms are years of experience of farmers, flock size, other means of livelihood, process broiler, and membership of the poultry association of Nigeria (PAN). Types of feed used and access to credit had a negative effect on the profitability of broiler farms. There will be a need to motivate farmers to increase their flock sizes by subsidizing high-quality day-old chicks, feed, and feed ingredients as well as other facilities. Research efforts should also focus on the development of efficient locally-made processing facilities to improve on the value addition activities of farmers thereby increasing the profitability of the farms. The enforcement of the policy on credit provision to farmers at a reasonable interest rate by commercial banks becomes crucial. In addition, it is suggested that farmers be encouraged to join PAN to increase the profitability of broiler farms.

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Section: Discussionsupporting

confidence: 91%

What are the Drivers of Profitability of Broiler Farms in the North-central and South-west Geo-political Zones of Nigeria?

Adeyonu

Odozi

2022

Sage Open

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“…In order for the youths to be self-reliant and reduce the high rate of unemployment, the government of Uganda has come up with several interventions such as skilling the youths, Emyooga, poor youth projects, youth empowerment schemes, and lately, youth loans through the YLP. Nonetheless, a good number of interventions have failed due to corruption and mismanagement of the youth projects, a lack of ownership and involvement of the youths in the projects (Aryemo et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the contribution of the Youth Livelihood Program towards enhancing Self-Reliance among the Youths in Lira City, Uganda

Achiro

Mwesigwa

2023

JSHE

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Purpose: This study investigated the contribution of the YLP towards enhancing self-reliance among the youths in the west division of Lira City. Methodology/approach: The study employed a descriptive cross-sectional design. A closed-ended structured questionnaire with a five Likert scale was used to collect data from a sample of 249 respondents based on the program theory postulated by Reynolds (1998); it entails the logic behind how programs are built, with particular emphasis on the program process. Data were analyzed using both descriptive statistics and inferential statistics aided by SPSS (version 20). Results: The findings suggested that the YLP program enhanced self-reliance among the youths by 11.1%. The youths in Lira City West Division moderately benefited from livelihood support (3.10, SD = 1.08) and institutional support (Mean = 2.71, SD = 1.241). A robust regression analysis revealed a positive and significant relationship between the YLP program and self-reliance (R2 = 0.111). Livelihood support (Coef = 0.159, p-value 0.0025) was found to be positively and significantly correlated with self-reliance. However, the statistical analysis revealed that institutional support had a negative relationship with self-reliance (p-value > 0.05, 95% CI). Limitations: During the study, it was difficult to find some respondents since they were scattered looking for activities to earn a living therefore extra efforts were ensured such as using research assistants in order to find the respondents. Inadequate funds to facilitate the study like transport to the field, and printing questionnaires were also a problem. The researcher got a loan from friends and the bank to cover the gap. Contributions: This study contributes to the understanding of local community development initiatives using the empowerment approach.

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“…Africa's agriculture and food sector challenges include the food production-population imbalance, rural unemployment, and low agricultural productivity (Alexander et al, 2017). These problems require a longterm solution by achieving economic development, calling for significantly high public investments in the agricultural sector and rural development, and prioritizing the agriculture sector's commercialization for increased productivity and competitiveness (Aryemo et al, 2019). Zimbabwe has an agricultural sector that needs attention to be improved (Bekele and Alemu, 2015).…”

Section: Introductionmentioning

confidence: 99%

Determinants of agricultural commercialization in smallholder farmers in Zimbabwe: The case of Zhombe North Rural District

Pamela¹,

Faustino²,

J.³

et al. 2022

J. Dev. Agric. Econ.

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Agricultural commercialization raises farm incomes and improves living standards inAfrican farming populations. Despite its importance, it remains low in Africa. Limited studies in agricultural commercialization have explored different tools for analysis given the agricultural commercialization indicators with zeros and fractions. This paper addresses methodological issue and adds literature on factors affecting agricultural commercialization. Agricultural commercialization is explored in Zhombe North Rural District using 2017/2018 cross-sectional data collected from 165 households. The zeroinflated beta regression model was used to find the drivers of agricultural commercialization. Crop output market participation share served as a proxy for agricultural commercialization. Land size, fertilizer use, use of credit, and certified seed proportion had significant positive effects on agricultural commercialization. In contrast, household head age, food cropping land size, and off-farm employment significantly influenced agricultural commercialization. The results for the model are similar to the results in previous studies using the Tobit model. The study recommends policies that promote the availability and usage of inputs to improve agricultural commercialization in the study area.

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Drivers of commercialization: A case of indigenous chicken production in northern Uganda

Cited by 8 publications

References 12 publications

What are the Drivers of Profitability of Broiler Farms in the North-central and South-west Geo-political Zones of Nigeria?

What are the Drivers of Profitability of Broiler Farms in the North-central and South-west Geo-political Zones of Nigeria?

Analysis of the contribution of the Youth Livelihood Program towards enhancing Self-Reliance among the Youths in Lira City, Uganda

Determinants of agricultural commercialization in smallholder farmers in Zimbabwe: The case of Zhombe North Rural District

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