Estimating technical efficiency of vegetable farmers in Anuradhapura district in Sri Lanka

Karunarathna, Muditha

doi:10.4038/sljer.v2i2.92

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Tomato cultivation was also technically efficient (0.80±0.08) considerably [37][38][39][40]. Vegetables, in general, displayed approximately 34% of the technical inefficiencies [41][42][43][44][45].…”

Section: Resultsmentioning

confidence: 99%

Meta-analysis of Technical Efficiency in Selected Agricultural Sub-sectors: Implications for Policy Making in Developing Countries like Sri Lanka

Senevirathne

Hettiarachchi

Dilrukshi

et al. 2021

AJRAF

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Aims: To evaluate the technical efficiency (TE) in selected agricultural sub-sectors and to propose possible policy interventions to the government with the aim of reducing the poverty of farmers in the developing world. Study design: A meta-analysis based on empirical studies conducted by various scientists throughout the developing world. Methodology: Research articles for the meta-analysis were selected using a thorough screening process based on the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) concept. Selected 94 articles were sub-divided in to three main agriculture sub-sectors for detailed analysis; (a) paddy, other field crops-OFC and vegetables, (b) fruits, and (c) livestock. Mean TE of each crop or livestock type was calculated by averaging the TE values for a particular crop or livestock type across different studies included in this study. Results: TE data presented in the original articles showed a considerable dispersion within a given study. The highest mean TE was recorded in B-onion (0.83±0.15) whereas the lowest was recorded in maize (0.703±0.09) and in soybean (0.705±0.13). The TE of chili cultivation was 0.78 with the greatest variability (standard error of mean [SEM] 0.19) among the crops considered, which signifies the unpredictable nature of the chili cultivation. Mango was found to be the least technically efficient crop among the studied, with a mean TE of 0.596±0.11. Dairy, poultry and aquaculture farming operations were found to be highly technically efficient having mean TE values of 0.80±0.16, 0.89±0.02 and 0.88±0.08 respectively. Conclusion: Findings of this study will lead to several key policy implications including, improvement of the socioeconomic characteristics of farmers, implementation of farmer field schools (FFS) and establishment of a cautious and gradual strategy for expansion of the rural financial institutions.

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Section: Resultsmentioning

confidence: 99%

Meta-analysis of Technical Efficiency in Selected Agricultural Sub-sectors: Implications for Policy Making in Developing Countries like Sri Lanka

Senevirathne

Hettiarachchi

Dilrukshi

et al. 2021

AJRAF

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“…Wasantha Athukorala(2017) studied the role of agricultural extension services in improving technical efficiency in the paddy farming sector in Sri Lanka and discovered that the mean technical efficiency of rice farming in the study area is 0.61, indicating that there is room to increase output by 39% without increasing input. Muditha Karunarathna (2014) looked at commercial vegetable producers who only grow a few distinct types of vegetables on their farms. According to the empirical findings, over 80% of the farmers polled were less than 55% technically efficient.…”

Section: Efficiency Studies Based On the Parametric Analysismentioning

confidence: 99%

Sources of Total Factor Productivity and its Determinants of Paddy Farming in Mullaitivu: A Färe-Primont Index Approach

Thayaparan

Neruja

Phillip

2022

SL J. Soc. Sci. Hum.

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This study estimates the decompositions of farm-level total factor productivity indices and identifies the impact of household characters, farming characteristics, and economic characters on the indices of paddy farming in Mullaitivu district, Sri Lanka. Six villages where the paddy is mostly cultivated in the district were selected as the study area and from each village, 20 farmers were selected randomly. The relevant data related to paddy yield, its inputs, demographic and farming characteristics were gathered through the questionnaire in 2020. The Färe-Primont index and its various productivity components were used to analyze the data in the study. The frequency of efficiency components revealed that nearly 38% of the farmers attained less than 50% in total factor productive efficiency, while only 11% of them attained between 50% -70% in the sample. Overall, the mean of total factor productivity was found to be 0.629 while the mean of total factor productive efficiency was 0.458showed that 62% and 45% of productivity and efficiency exist among the paddy farmers, respectively. The mean value of output-oriented efficiency was found to be 0.861, revealing that, 86% of total factor productivity can be increased by increasing the technical efficiency of paddy yield in the study. Determinants of total factor productivity and its sources were analyzed using the Tobit model and its results revealed that, total factor productivity, total factor productive efficiency, and input-oriented scale mix efficiency mainly determined by the quality of land, farm income, amount of saving, amount of loan and land ownership. Further, availability of training and farm income were the major drivers of output scale efficiency of paddy farms in the study.

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Estimating technical efficiency of vegetable farmers in Anuradhapura district in Sri Lanka

Cited by 2 publications

References 4 publications

Meta-analysis of Technical Efficiency in Selected Agricultural Sub-sectors: Implications for Policy Making in Developing Countries like Sri Lanka

Meta-analysis of Technical Efficiency in Selected Agricultural Sub-sectors: Implications for Policy Making in Developing Countries like Sri Lanka

Sources of Total Factor Productivity and its Determinants of Paddy Farming in Mullaitivu: A Färe-Primont Index Approach

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