Post-Harvest Losses along the Rice Value Chain in Kwara State, Nigeria: An Assessment of Magnitude and Determinants

Babatunde, R. O.; Omoniwa, Adeyemi Esther; Aliyu, J.

doi:10.2478/cerce-2019-0014

Cited by 6 publications

(6 citation statements)

References 2 publications

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“…Majority (57.5%) of the respondents had no formal education. This is in line with Babatunde (2019) result that stated that majority of the processors in the study area have no formal education. This is an indication that most of the processors are uneducated.…”

Section: Socio-economics Characteristics Of Local Rice Processors In ...supporting

confidence: 91%

Análisis de eficiencia técnica y rentabilidad del procesamiento local de arroz en el estado de Kwara, Nigeria

AKANBI,

OLANIYI,

ADEKUNLE

et al. 2023

Perspectivas Rurales

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El estudio busca evaluar la eficiencia técnica y la rentabilidad del procesamiento local de arroz en el estado de Kwara, Nigeria. Los objetivos específicos son: (a) estimar el costo y la rentabilidad del procesamiento local del arroz; (b) estimar la eficiencia técnica de los métodos de procesamiento de arroz empleados; (c) analizar los factores que inciden en la eficiencia técnica del procesamiento local del arroz; y (d) identificar las limitaciones para el procesamiento local de arroz en el área de estudio. Se empleó una técnica de muestreo de dos etapas para seleccionar 120 procesadores que fueron seleccionados al azar de una lista de procesadores registrados en las áreas de gobierno local de Edu y Pategi. Los datos fueron analizados mediante estadística descriptiva, margen bruto, análisis envolvente de datos y regresión Tobit. La mayoría de los encuestados eran mujeres (77,5 %) y todos los procesadores (100 %) utilizan métodos tradicionales para todos los sistemas de procesamiento excepto para la etapa de molienda y despedrado. El margen bruto y la rotación de capital se estimaron en 142 490 y 1,49 respectivamente. Los procesadores lograron una eficiencia técnica general relativamente baja, una eficiencia técnica pura y una puntuación de eficiencia de escala (0,4965 y 0,820 y 0,5566), respectivamente. El nivel educativo, los años de experiencia en el procesamiento, el uso de equipos modernos y la capacitación en el uso del procesamiento tuvieron un efecto positivo en la eficiencia de este, mientras que el costo de la mano de obra mostró una influencia negativa en la eficiencia del procesamiento del arroz. Este estudio recomienda que se preste más atención a brindar capacitación técnica y mejorar el acceso a implementos modernos, especialmente a las mujeres procesadoras. Nota: $1 = N 430

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Section: Socio-economics Characteristics Of Local Rice Processors In ...supporting

confidence: 91%

Análisis de eficiencia técnica y rentabilidad del procesamiento local de arroz en el estado de Kwara, Nigeria

AKANBI,

OLANIYI,

ADEKUNLE

et al. 2023

Perspectivas Rurales

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“…Postharvest losses in rice may be quantitative or qualitative. Quantitative losses result in weight or volume reduction in the potential yield, while qualitative losses result in a reduction in the value of the usable rice owing to physical and chemical changes, such as poor appearance, poor taste, and unpleasant odor [35]. Nonetheless, harvest losses are usually measured as actual physical losses (i.e., quantitative losses).…”

Section: Estimation Methodsmentioning

confidence: 99%

“…As one of the world's three leading food crops, rice feeds almost half of the world's population, making it the most consumed cereal grain [33], especially in low-and lowermiddle-income countries [34]. Among rice farmers, processors, and marketers, rice farmers experience the highest loss [35,36]. Losses on farms reduce farmers' incomes, and for farmers in low-income countries living on the edge of hunger, these losses are closely associated with food insecurity [37,38].…”

Section: Introductionmentioning

confidence: 99%

The Losses in the Rice Harvest Process: A Review

Xue

Kojima

et al. 2021

Sustainability

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We review existing studies on rice harvest loss from the aspects of estimation methods, magnitudes, causes, effects, and interventions. The harvest losses examined occurred from the field reaping to storage processes, including threshing, winnowing, and field transportation. We find that existing studies on rice harvest losses have focused on quantitative losses in Asia and Africa. Lack of knowledge, inadequate harvesting techniques, poor infrastructure, and inefficient harvest management practices are considered critical contributors to the losses. The magnitudes and causes of rice harvest losses are now better understood than interventions, which have simply been presented but lack an assessment of the effects and a cost–benefit analysis. Interestingly, reduction in harvest losses may threaten some farmers’ profits, such as rural women who make their living from post-production manual operations. Considering the current status of the literature, future researchers should examine how to balance social and individual welfare since farmers are key stakeholders in intervention implementation. A good understanding of the existing researches can help clarify future efforts for loss reduction, thereby reducing the burden of increasing agricultural production and promoting sustainable development of resources and the environment.

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“…On the other hand, Babatunde et al (2019) reported that household size and farm size are the determinants of food losses in rice production. We see that all significant constraints have a negative impact on losses.…”

Section: Determination Of the Effect Of The Constraints On Food Lossesmentioning

confidence: 99%

Analyzing the Impact of Reducing Food Losses of Rice on Food Security in Benin

Amoussouhoui¹,

Akpa²,

Nkhata³

et al. 2023

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A substantial amount of rice grains is lost along the value chain, contributing to food insecurity among farming households in Benin. While food losses are inevitable along the value chain, it is imperative to determine the minimum acceptable loss for rice. This study aims to quantify the food losses of rice and determine its effect on food security using the Food Consumption Score (FCS) and Linear model. The results show a positive effect of a low loss rate on the FCS. In addition, a low loss rate increases the probability of FCS by 82.4 for the overall rice farmers and 83.7 for the efficient rice producers. Thus, reducing the loss rate throughout the food chain to a maximum of 10% would increase the amount of local rice on the market and allow producers to achieve food security. The study recommends sensitizing stakeholders along the rice value chain on strategies or technologies to reduce losses.

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Post-Harvest Losses along the Rice Value Chain in Kwara State, Nigeria: An Assessment of Magnitude and Determinants

Cited by 6 publications

References 2 publications

Análisis de eficiencia técnica y rentabilidad del procesamiento local de arroz en el estado de Kwara, Nigeria

Análisis de eficiencia técnica y rentabilidad del procesamiento local de arroz en el estado de Kwara, Nigeria

The Losses in the Rice Harvest Process: A Review

Analyzing the Impact of Reducing Food Losses of Rice on Food Security in Benin

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