Analysis of Technical Inefficiency in Rice Production among Farmers in Ezza South LGA of Ebonyi State of Nigeria (Application of Stochastic Frontier Production)

Ifeanyichukwu, Ume; Ike, Ezeano; Eluwa, N; Felix, Ebe

doi:10.9734/acri/2016/27465

Cited by 3 publications

(5 citation statements)

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“…The NROI values indicated that for every N1.00 investment in rice productions in the three zones and the State the farmers realized on one hectare N1.49 in Anambra Agrucultural zone, N1.23 in Aguata zone, N1.30 in Awka zone and on the average N1.35 in the State. This implies that rice production is profitable in the study area, however, it is more profitable in Anambra Agricultural zone, followed by Awka zone and the least Aguata zone.This finding corroborates Igboji et al (2015), Ume et al (2016) and Okelloet al (2019) that rice production is a highly profitable venture in their respective study areas probably because farmers meticulously utilized the necessary inputs and adhered to the required management practices.…”

Section: Profitability Of Rice Production In the Areasupporting

confidence: 90%

“…Scarcity and high cost of quality seeds was the 3 rd very serious constraint to rice production with mean score of 2.5. Ume et al (2016) also identified this problem as a very serious problem to rice production since the quality of rice seeds planted significantly determine output per hectare (yield).The 4 th problem was climate change/irregular rains. Many rice farmers in the area, especially early and late planters, complained about irregular rain falls leading to serious scarcity of water during the periods of filling of the seeds, hence production of shaffy-paddy and poor yield.…”

Section: Constraints To Rice Production In the Areamentioning

confidence: 99%

“…The problems of pest and disease attacks and fire outbreaks described as the 12 th and 13 th constraints to rice production in the area were regarded by the farmers as not serious. Nwike and Ugwumba (2015), Nwalieji (2016), Ume et al (2016) and Ume et al (2018) in their various studies reported the mix of these constraints as serious and not serious constraints to rice production.…”

Section: Constraints To Rice Production In the Areamentioning

confidence: 99%

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Profitability and Determinants of Output of Rice Production in Anambra State, Nigeria

Obiekwe,

Okeke,

Njideka

et al. 2024

GJAR

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The study examined the profitability and determinants of output of rice production in Anambra State, Nigeria. The specific objectives were to: estimate the profitability of rice production; establish the determinants of production output; and identify constraints to rice production in the area.Multistage, purposive and random sampling methods were used to select respondents. Though 378 copies of the questionnaire were administered to the farmers by personal interview, 315 adequately filled copies were sorted and used in data collation. Primary data used for the study were collated and analyzed by means of descriptive and inferential statistical tools such as the enterprise budgeting technique (gross margin, net farm income, mean net farm income and net return on income) Ordinary Least Squares (OLS) regression, One- way ANOVA and Scheffe’s Multiple Comparison test. Findings on the profitability of rice production in the area showed that per hectare gross margin figures were N315,300, N285,600, N302,800 and N301,233 for Anambra, Aguata and Awka Agricultural zones, and the State (study area) respectively. Net return on investment figures were 1.49, 1.23, 1.30 and 1.35 respectively. The NROI values indicate that for every N1.00 investments in rice productions in the three zones and the State the farmers are likely to realize on one hectare N1.49 in Anambra Agricultural zone, N1.23 in Aguata zone, N1.30 in Awka zone and on the average N1.35 in the State, hence rice production is a profitable enterprise in the area. Meanwhile, Schefee’s Multiple Comparison test indicated no significant difference between per hectare mean net farm incomes realized by farmers from paired agricultural zones. Findings on the influence of socio-economic characteristics of the farmers on production output indicated that five regressors (educational level, farming experience, farm size, amount of credit obtained and cost of inputs) exerted independent and statistically significant influences on output while the rest six did not have significant influence on output. Constraints to rice production posited insufficient fund as the most serious problem of rice production in the area, followed by scarcity and high cost of labour, scarcity and high cost of quality seeds, among others. Government should encourage financial institutions to make loans available to farmers and form cooperative societies to obtain bulk purchase of high quality seeds and other input resources.

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Section: Profitability Of Rice Production In the Areasupporting

confidence: 90%

Section: Constraints To Rice Production In the Areamentioning

confidence: 99%

Section: Constraints To Rice Production In the Areamentioning

confidence: 99%

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Profitability and Determinants of Output of Rice Production in Anambra State, Nigeria

Obiekwe,

Okeke,

Njideka

et al. 2024

GJAR

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“…This implies that, rice farmers with more farming experience were more technically efficient than those with less farming experience. This finding is inline with the study of Ifeanyichukwu et al (2016). In the same vein the coefficient of education was negative (-0.2228) and statistically significant at 1%.…”

Section: Technical Efficiency Of Rice Farmerssupporting

confidence: 88%

Technical Efficiency of Rice Production in Southern Taraba State, Nigeria

Aboki¹,

Luka²,

Jonathan³

et al. 2020

JASD

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The study evaluated technical efficiency of rice production in Southern Taraba State, Nigeria. Multi stage sampling procedure was employed in selecting 133 respondents for the study. Primary data used in the study were collected using structured questionnaire administered to respondents. Data collected were analyzed using descriptive statistics and stochastic frontier production function. Result of the study indicated that majority (80.45%) of the respondents was male; the average age of the farmers was 39 years, majority (67%) of the respondents was married. The average household size was five (5) people per household. The average farming experience of the farmers was 15 years; majority (76%) of the respondents had formal education. The average farm size of the farmers was 2 hectare, 69.17% of the rice farmers do not have access to credit, and most (75.94%) of the respondents did participate in any cooperative association. Majority (95.49%) of the respondents did not have access to extension contacts. The maximum likelihood estimate of stochastic frontier production function for rice farmers were all positive, that is, farm size, seed used, fertilizer and labor except for herbicide and cost of ploughing which were negative. It was concluded that rice farmers were efficient in their production with mean efficiency index of 87%. It was recommended that, farmers should use the available resources efficiently to attain maximum output.

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“…The list of staple crops cultivated in these areas includes rice, yam, and cassava, while the predominant livestock products are sheep, goat, pigs, and poultry. Other prevalent economic activities in the area include hunting, tailoring, petty trading, auto mechanics, and salon and civil services [28]. The test communities represented the four cardinal points of the state as follows: Onueyim and Ezzamgbo communities were situated in the northeastern and northwestern zones, respectively, Inyimagu community belonged to the eastern zone, Nkomoro community was situated in the western zone, and Akpoha and Nguzu-Edda communities were situated in the southern zone.…”

Section: Study Areamentioning

confidence: 99%

A Resilience Approach to Community-Scale Climate Adaptation

et al. 2019

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Climate risk is expected to impact rural communities in West Africa in multiple ways. However, most current research addresses resilience and climate adaptation at either the national or the household scale; very little is known about community-scale interventions. We interviewed 934 community members in six communities in southeastern Nigeria about sources of climate risk and community-based actions for climate change adaptation. We found these communities contained multiple active and engaged groups that have implemented a wide range of interventions to reduce climate risk, most of which are seen as effective by community members. Flooding was the most common form of risk in this region, but drought, windstorms, and irregular rainy seasons are also frequent, implying that effective climate adaptation will have to be sensitive to multiple types of risk. Structural interventions (constructing roads, bridges, etc.) were the most common type of intervention, suggesting that communities are capable of marshalling considerable organizational and human power for adaptation efforts, even in the absence of external assistance. Efforts to boost community resilience and adaptation to climate change would benefit from first understanding what community actions are currently underway, and working with the groups implementing these actions to support and extend them.

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Analysis of Technical Inefficiency in Rice Production among Farmers in Ezza South LGA of Ebonyi State of Nigeria (Application of Stochastic Frontier Production)

Cited by 3 publications

References 0 publications

Profitability and Determinants of Output of Rice Production in Anambra State, Nigeria

Profitability and Determinants of Output of Rice Production in Anambra State, Nigeria

Technical Efficiency of Rice Production in Southern Taraba State, Nigeria

A Resilience Approach to Community-Scale Climate Adaptation

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