Formulating Optimal Farm Plans with Child Farm Labour Reduction for Arable Crop Farmers in Akwa Ibom State, Nigeria: An Application of Linear Programming and T-MOTAD Models

Henry, Udo, Ukeme; Onyenweaku, CE; Igwe, K. K.; Salimonu, K.

doi:10.9734/ajaees/2015/18634

Cited by 2 publications

(5 citation statements)

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“…Iheke et al (2016) stated in their study that education is pivotal to unlocking the entrepreneurial abilities of farmers and enhancing their ability to understand and evaluate new production techniques. This is in line with the findings of Iheke et al, (2016), Udoka et al, (2019), Udo et al, (2019), and Adeyonu et al (2021).…”

Section: Level Of Educationsupporting

confidence: 93%

“…The result also indicated an increase in the emergence of a younger population interested in poultry production as well as a decline in the proportion of older and aged people actively participating in poultry production. Iheke et al (2016), Banjoko et al (2014), Udo et al, (2019), and Adeyonu et al (2021) all reported similar findings.…”

Section: Agementioning

confidence: 65%

“…The livestock sub-sector is undoubtedly, a fundamental element of agricultural production (Udoka, Bassey, and Okorie, 2019). Poultry production is the process of rearing domestic birds mainly for the supply of poultry meat and eggs for human consumption (Udo, Okorie, and Udoekpo, 2019). Poultry production is a viable business that contributes to Gross Domestic Product (GDP).…”

Section: Introductionmentioning

confidence: 99%

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Risk Mitigation Strategies Utilized by Poultry Farmers in Akwa Ibom State, Nigeria

Ubom,

Okorie,

Okon

2023

AKSUJAEERD

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The poultry industry plays a significant role in food production and contributes to the development of Nigeria’s economy. The industry holds huge potential for growth with the participation and influx of new players. However, this potential is constantly challenged by a variety of risk factors. Hence, this study investigated the risk mitigation strategies adopted by poultry farmers in Akwa Ibom State. 246 poultry farmers were selected across three Local Government Areas in Akwa Ibom State using multi-stage sampling procedures. Data was collected with the aid of a questionnaire and analyzed using descriptive statistics and the Likert-type scale rating. The result showed that the 54.88% of the farmers were male, the mean age of the respondents was 42.89 years, the majority of the farmers were educated and the mean farm experience was 6.98 years. High cost of feed, outbreak of diseases among the birds, and acquiring birds from wrong sources were major risks faced by the farmers. The risk mitigation strategy that ranked highest was avoiding overcrowding of birds (x ̅=2.92) while attending extension workshops on poultry ranked the least (x ̅=2.46). It is recommended that extension agents should intensify efforts on the training of poultry farmers to combat risks that threaten poultry management and production

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Section: Level Of Educationsupporting

confidence: 93%

Section: Agementioning

confidence: 65%

Section: Introductionmentioning

confidence: 99%

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Risk Mitigation Strategies Utilized by Poultry Farmers in Akwa Ibom State, Nigeria

Ubom,

Okorie,

Okon

2023

AKSUJAEERD

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“…Target minimization of total absolute deviation (T-MOTAD) model was also used to analyse the data. To incorporate risk into the LP model, the modified T-MOTAD model adopted following Tauer (1983), Zimet and Spreen (1986) and Udo et al (2015b) was used. The optimum gross margins obtained from LP models for capital borrowing and limited (owned) resources condition was used as the target return (𝑇 𝑟 ) in this model.…”

Section: Analytical Techniquesmentioning

confidence: 99%

“…These mathematical programming tools such as the quadratic programming (QP) along with linear programming/minimization of total absolute deviation (LP/MOTAD) models as seen in the works of Umoh (2008), Salimonu et al (2008), Udo et al (2015a) and Udo et al (2015b) are the most recent and popular methods in the agricultural economics literature on risk-return analysis particularly in Nigeria. However, most of these research efforts aimed to inquire into the possibilities of maximising farm production and income under the conditions of risk and uncertainty in Nigeria such as those of Adubi (1992), Umoh and Adeyeye (2000), Olarinde (2004), Umoh (2008), Salimonu et al (2008), Udo et al (2015a) and Udo et al (2015b) has focused only on the cropping enterprises. No effort has been made to consider other farm enterprises such as the livestock in the risk programming models.…”

Section: Introductionmentioning

confidence: 99%

Optimum Enterprise Mix Under Risk and Limited Resource Conditions Among Smallholder Livestock Farmers in Kwara State, Nigeria

Adewumi¹,

Tanko²,

Ibrahim³

et al. 2021

JASD

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The study developed optimum and a set of risk efficient livestock enterprise mix for smallholder farmers in Kwara State, Nigeria. Multi-stage sampling procedure was used to select 127 smallholder livestock farmers. A structured questionnaire complimented with interview schedule was used to obtain cross-sectional data from the farmers. Data were analyzed using descriptive statistics, farm budgeting technique, LP (linear programming) and T-MOTAD (Target minimization of total absolute deviation) models. The LP result prescribed 0.25TLU of cattle/goat/sheep, 0.37TLU of broiler and 0.47TLU of broiler/layer for optimum gross margin in plan I; and 0.29TLU of cattle/goat/sheep, 0.37TLU of broiler and 0.47TLU of broiler/layer were prescribed in plan II under the limited resource condition. A set of feasible risk efficient farm plans I, II and III were obtained with the T-MOTAD model. The plan I prescribed 0.25TLU of cattle/goat/sheep, 0.37TLU of broiler and 0.47TLU of broiler/layer. Plan II prescribed 0.07TLU of cattle/goat/sheep, 0.28TLU of broiler and 0.79TLU of broiler/layer; and plan III prescribed 0.36TLU of cattle/goat/sheep, 0.05TLU of broiler, 0.48TLU of cockerel and 0.23TLU of broiler/layer. Gross margin increased from ₦218,170.75/TLU in the existing plan to ₦242,662.30/TLU and ₦247,676.00/TLU in optimum plans I and II, respectively, and to ₦242,670.60/TLU, ₦235,065.60/TLU and ₦222,897.90/TLU in risk efficient plans I, II and III, respectively. Gross margin was more sensitive to variation in the prices of output than other variables. Labour and capital were the major limiting resource across all the plans for the livestock enterprises. It was concluded that the livestock farmers had the potential to maximize gross margins per unit enterprise in the optimum and risk efficient farm plans as resources were not optimally allocated in the existing plan for livestock activities. Farmers should therefore adopt the prescribed optimum and risk efficient farm plans.

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Formulating Optimal Farm Plans with Child Farm Labour Reduction for Arable Crop Farmers in Akwa Ibom State, Nigeria: An Application of Linear Programming and T-MOTAD Models

Cited by 2 publications

References 0 publications

Risk Mitigation Strategies Utilized by Poultry Farmers in Akwa Ibom State, Nigeria

Risk Mitigation Strategies Utilized by Poultry Farmers in Akwa Ibom State, Nigeria

Optimum Enterprise Mix Under Risk and Limited Resource Conditions Among Smallholder Livestock Farmers in Kwara State, Nigeria

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