2023
DOI: 10.3390/su15064840
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 hu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
0
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 46 publications
1
0
0
Order By: Relevance
“…The minimum and maximum profit efficiency level obtained by sampled rice farmers was 0.012 (1.2%) and 1.000 (100%) on individual basis. This agrees with findings of who reported similar profit efficiency in rice production (Obianefo, 2023).…”
Section: Distribution Of Profit Efficiency Scores Of the Rice Farmerssupporting
confidence: 93%
“…The minimum and maximum profit efficiency level obtained by sampled rice farmers was 0.012 (1.2%) and 1.000 (100%) on individual basis. This agrees with findings of who reported similar profit efficiency in rice production (Obianefo, 2023).…”
Section: Distribution Of Profit Efficiency Scores Of the Rice Farmerssupporting
confidence: 93%
“…thus increasing output modern implement was significant at 5% level and was positively related, which implies that an increase in the adoption of modern implements will increase their efficiency of production. This is in tandem with the conclusion of Obianefo et al (2023). Training was also positively significant at 5% level, which implies that an increase in training for the processors will increase their processing efficiency.…”
Section: Results Of Tobit Regression Modelsupporting
confidence: 70%
“…In Southeast Nigeria, where maize cultivation is prevalent, understanding the efficiency of maize production under the influence of CSAPs and socioeconomic determinants is essential for devising effective policies aimed at promoting sustainable agriculture and food security. According to Obianefo et al (2021) [55] ; Obianefo et al (2023) [53] and Keghter et al (2023) [35] , Stochastic Frontier Analysis (SFA) has been widely employed to assess the efficiency of agricultural production systems by separating observed output from the maximum achievable output given the same inputs and technology. By estimating the efficiency parameter of maize production, researchers gain insights into the performance of maize farmers relative to the production frontier (Ng'ombe, and Kalinda, 2015; Ng'ombe, 2017; Yakubu et al, 2022) [49,48,68] , thereby identifying areas for improvement and optimization.…”
Section: Introductionmentioning
confidence: 99%