Performance of Nigerian Rice Farms from 2010 to 2019: A Stochastic Metafrontier Approach

Olasehinde, Toba Stephen; Qiao, Fangbin; Mao, Shiping

doi:10.3390/agriculture12071000

Cited by 7 publications

(5 citation statements)

References 46 publications

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“…In the study by conducted Olasehinde et al on the performance of Nigerian rice farms from 2010 to 2019, a stochastic meta-frontier approach was used to trace the events in the rice production economy [53]. They discovered a huge gap between domestic rice production and consumption patterns.…”

Section: Empirical Review Of Related Studiesmentioning

confidence: 99%

Technology Gap Efficiency of Small-Scale Rice Processors in Anambra State, Nigeria

et al. 2023

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This paper aims to examine the technology gap efficiency of small-scale rice processors in Anambra State, Nigeria. The research was conducted through a survey of 100 small-scale rice processors in Anambra State. Data were collected with structured questionnaires and analyzed using descriptive, stochastic frontier analysis, stochastic meta-frontier model, and inferential statistical techniques. The study revealed that important variables to rice processing present in the state are paddy, firewood, water, and huller. Concerning the economic-specific factors, the cost of grading and other processing assets contributes to inefficiency. The results equally showed that the technology gap efficiency of small-scale rice processors in the industry is tied to or tangential to the frontier output, meaning that the processors in Anambra State are making use of the best technology available. The average efficiency index for the processors in the industry was 0.506, implying that their output is below potential by 49.4%. The results also revealed the technology gap efficiency for the participating and non-participating processors as 0.924 and 0.983, respectively, meaning that the participants need to close an 8.0% gap, and the non-participants need to close a 2.0% gap. These gaps are caused by the high cost of processing equipment, high cost of input, and inadequate infrastructure, among others contributing factors. The paper concluded that the average meta-technical efficiency (0.498) of small-scale rice processors in Anambra State is low and needs to be improved through the provision of adequate technology, training, and infrastructure to bring the current industrial production capacity to 100.0%.

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Section: Empirical Review Of Related Studiesmentioning

confidence: 99%

Technology Gap Efficiency of Small-Scale Rice Processors in Anambra State, Nigeria

et al. 2023

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“…5). Several studies have highlighted the problem of soil degradation in Nigeria as limiting agricultural productivity (Liverpool-Tasie and Takeshima 2013, Olasehinde et al 2022). Soil degradation is widespread in Nigeria because of agricultural expansion and shorter fallow periods (Onyeiwu et al 2011, Adenle andIfejika Speranza 2021).…”

Section: Fixes That Fail (Expanding Rice Area Fails To Increase Produ...mentioning

confidence: 99%

Identifying system archetypes in Nigeria’s rice agri-food system using fuzzy cognitive mapping

Edwards¹,

Kok²,

Leemans³

2023

E&S

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Nigeria is a major rice-producing and rice-importing country in Africa, challenged with ensuring rice-food security for its growing population. Successive governments have implemented several strategies to increase local rice production such as rice import restriction policies and agricultural investments. These strategies have yielded results but achieving long-term sustainable growth in Nigeria's rice agri-food system has remained elusive. Addressing food security and sustainability in agri-food systems requires a systemsthinking approach. In this study, we applied two systems thinking techniques, fuzzy cognitive mapping (for describing the system structure and behavior) and archetype analysis (to reveal generic system archetypes and effective strategies to improve the system). Our analysis revealed three system archetypes: limits to success, fixes that fail, and drifting goals. Rice production is limited by low agricultural productivity indicating the "limits to success" archetype. Farmers tend to increase rice area as a "quick fix" to productivity issues but this quick fix leads to unintended consequences such as soil degradation (fixes that fail archetype). Additionally, because of the importrestriction policies generating an unmet demand for rice, the government may face pressure to lower the goal of self-sufficiency falling into the "drifting goals" archetype. However, our analysis shows that suspending import-restriction policies would result in undesirable system states, with reduced demand for local rice and lower rice production. Our results underscore the importance of government policies in increasing rice production sustainably and ensuring food security.

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“…Rice is a high-value chain in the Nigeria's agriculture. Rice is the most rapidly growing food crop in Nigeria (Olasehinde et al, 2022). It is produced and consumed in all the geopolitical zones and by all the socio-economic classes in Nigeria.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Communication Channel Used among Rice Value Chain Actors in Nasarawa and Benue States, Nigeria

Nwobodo¹,

Agwu²,

Okoronkwo³

et al. 2023

jae

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The study assessed the determinants of communication channel use among rice value chain actors in Nasarawa and Benue States, Nigeria. A multistage sampling procedure was used to select six hundred (600) respondents. Data were collected using a semi-structured interview schedule and were analyzed using a binary logistic regression model with the forced entry method. Results show that the full Logit Regression model containing all the predictors for determinants of use of face-to-face communication channel (x2 = 19.74), mobile phone (x2 = 46.453), radio (x2 = 55.12), television (x2 = 34.41) and print media (x2 = 29.71) were statistically significant. The key determinants for the use of mobile phones include: sex, age, number of social organizations, and years of experience while sex, age, and number of years spent in school were key determinants in the use of television. Therefore, extension agents should consider the different socio-economic groups in selecting communication channels in reaching out to rice value chain actors as identified. Also, extension agencies should create awareness, and provide training opportunities to enable actors to take advantage of the available channels in rice value chain communication.

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Performance of Nigerian Rice Farms from 2010 to 2019: A Stochastic Metafrontier Approach

Cited by 7 publications

References 46 publications

Technology Gap Efficiency of Small-Scale Rice Processors in Anambra State, Nigeria

Technology Gap Efficiency of Small-Scale Rice Processors in Anambra State, Nigeria

Identifying system archetypes in Nigeria’s rice agri-food system using fuzzy cognitive mapping

Determinants of Communication Channel Used among Rice Value Chain Actors in Nasarawa and Benue States, Nigeria

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