Technical Efficiency in Intercropped Pineapple Production in Kurunegala District

Amarasuriya, Mtc; Edirisinghe, J. C.; Patalee, M.A.B.

doi:10.4038/jfa.v3i1-2.5170

Cited by 9 publications

(11 citation statements)

References 2 publications

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“…Results from Table 1 revealed that 88.3% of the respondents were males which implied that pineapple production in the study area was largely dominated by the males. This conforms to the findings of Fawole (2008) and Baruwa (2013) that pineapple [7] Technical Efficiency of Pineapple Production in Osun State, Nigeria production is male dominated. Majority of the farmers (75.8%) were within 41-60 years age group with mean of 54 years.…”

Section: Socio Economic Characteristics Of the Pineapple Farmerssupporting

confidence: 91%

Technical Efficiency of Pineapple Production in Osun State, Nigeria

Adegbite¹,

Adeoye²

2015

AOL

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Pineapple is one of the most important fruits in Nigeria and it had been identified that the country has comparative advantage in its production. However, there is need for empirical studies on the technical efficiency of its production. This paper presents the analysis of technical efficiency of pineapple production in Osun state, Nigeria using stochastic frontier production function and resource use efficiency. Primary data was collected from 120 pineapple farmers using multi stage sampling technique. Results revealed that quantity of suckers and labour used in pineapple production was positive and significant at 5% while farm size was significant at 1%. The returns to scale indicated that a unit increase in all the specified production inputs will lead to a more than proportionate increase in pineapple yield by 2.1%. The mean technical efficiency of the pineapple farmers indicated that an average farmer could obtain about 93% of output from a given mix of inputs. The estimated gamma parameter revealed that 81.4% of the variation in output among the pineapple farmers was due to disparities in technical efficiency. Resource use efficiency indicated underutilization of suckers and overutilization of other specified production inputs. The study therefore recommends that farmers should cut down the use of resources that were over utilized and increase the quantity of suckers used in the production of the commodity for optimal productivity.

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Section: Socio Economic Characteristics Of the Pineapple Farmerssupporting

confidence: 91%

Technical Efficiency of Pineapple Production in Osun State, Nigeria

Adegbite¹,

Adeoye²

2015

AOL

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“…This implies that there is a scope for increasing pineapple production with expected increase of 0.28% for a 1% increase in crop area. The finding is also supported by the study of [28] where area under pineapple cultivation had positive significant effect on production. A greater investment in tillage would increase pineapple production as the coefficient is significantly positive and the average increase in production being 0.03% for a 1% increase in tillage cost.…”

Section: Empirical Results Of the Stochastic Production Frontier Modelsupporting

confidence: 59%

Technical Efficiency Analysis of Pineapple Production at Madhupur Upazila of Tangail District, Bangladesh

Akter

Majumder

Islam

et al. 2020

ARJASS

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The main objective of this study is to analyse the technical efficiency and its determinants of pineapple production at Madhupur upazila of Tangail district in Bangladesh. Cross-section data from a sample of 100 pineapple producers during the 2016-17 cropping season were collected by applying multistage random sampling technique. Farm specific technical efficiency scores were estimated using the Cobb-Douglas stochastic frontier production function approach. Empirical findings show that the estimated technical efficiencies of the sampled farmers’ range from 61.61% to 99.95% with the mean technical efficiency of 91.14%. The result suggests that, on an average, farmers in the study area can potentially increase their productivity by 8.86% through more efficient use of inputs. The estimated stochastic production frontier model indicates that input variables such as area, tillage cost, seedling cost and human labour cost were statistically significant variables to increase the quantity of pineapple production. Technical inefficiency effect model identifies that age of farmers had significant positive, but years of schooling and extension contact had significant negative effect on farmers’ inefficiency. The study therefore recommends that government should focus on the ways of attracting and encouraging the youths as they are more efficient and are likely to be able to properly allocate resources and are willing to adopt new technical innovations. Besides, policies and strategies should be directed towards increasing farmers’ formal as well as informal education through the implementation of effective training programmes by the well-trained extension workers.

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“…Counseling and off-farm income results positive and significant to the increasing of technical inefficiency. Farmer that only focused on the farming will be technically efficient compare than farmer that has off-farm activities [9], [15].…”

Section: The Tobit Resultsmentioning

confidence: 99%

“…Theoretically, there are three sources of productivity improvements, technological change/TC, increasing of technical efficiency/TE and economic of scale/ES [8]. Some of study results showed that production inefficiency level influenced by socio-economic and demography variables, such as farmer age, number of family member, education level, association participation, knowledge on cultivation technology, experience and off farm income [1], [4], [9].…”

Section: Introductionmentioning

confidence: 99%

Technical, Allocative and Economic Efficiency of Pineapple Production in West Java Province, Indonesia: A DEA Approach

Lubis¹,

Daryanto²,

Tambunan³

et al. 2014

IOSRJAVS

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Low productivity in horticulture is mainly due to the inability of the farmers to exploit the available technologies fully, resulting in lower efficiencies of production. Data Envelopment Analysis (DEA) is used to estimate technical, allocative and economic efficiency also Tobit regression is used to determine factors of technical and economic inefficiency in the pineapple cultivation on 142 farmers in West Java Province, Indonesia. The study has indicated that most of the pineapple farms have shown technical, allocative and economic inefficiency problems. Data Envelopment Analysis (DEA) results showed that farmers were inefficient in the pineapple production with mean technical, allocative and economic efficiency level of 70.1%, 34.1% and 24.1%, respectively. A Tobit regression model results on the determinants of fifteen socioeconomic , demography and institutional variables revealed that land productivity had positive and significant contribution on technical and economic efficiency. Market distance and capital productivity had positive and significantly influenced the technical efficiency and labor productivity also land ownership had positive and significant contribution to the economic efficiency. Counseling and off-farm income contributed negatively to the technical efficiency and farmer experience also contributed negatively to the economic efficiency. These finding suggests that pineapple production in the research location would be significantly improved by cultivating on farmer's own land and getting better counseling from about the pineapple's good agricultural practices.

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Technical Efficiency in Intercropped Pineapple Production in Kurunegala District

Cited by 9 publications

References 2 publications

Technical Efficiency of Pineapple Production in Osun State, Nigeria

Technical Efficiency of Pineapple Production in Osun State, Nigeria

Technical Efficiency Analysis of Pineapple Production at Madhupur Upazila of Tangail District, Bangladesh

Technical, Allocative and Economic Efficiency of Pineapple Production in West Java Province, Indonesia: A DEA Approach

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