Technical Efficiency and Determinants of Maize Production by Smallholder Farmers in the Moneragala District of Sri Lanka

Esham, Mohamed

doi:10.5901/mjss.2014.v5n27p416

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…Irrigation dummy variable was significant and positive as expected, suggesting that potato producers who used irrigation water were more technically efficient than their counterparts. This finding is similar to that of Anang et al (2016) and Esham (2014) who reasoned out that access to irrigation enables farmers to maximise the use of other inputs such as fertiliser due to the availability of water throughout the farming season. Alam et al (2012b) reported that irrigation system has a positive and significant impact on technical efficiency of potato production in Pakistan.…”

Section: Discussionsupporting

confidence: 90%

Determinants of technical efficiency of potato farmers and effects of constraints on potato production in Northern Ethiopia

Andaregie

Astatkie

2020

Ex. Agric.

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To improve the national average yield of potato in Ethiopia, which is very low as compared to its potential, factors that influence technical efficiency of potato production need to be determined. Therefore, the objective of this study was to investigate the determinants of technical efficiency using a cross-sectional data collected from 368 randomly selected potato producers in Northern Ethiopia using a multi-stage sampling technique. The study employed Cobb–Douglas stochastic frontier model to get farm-level technical efficiency scores. Tobit model and principal component analysis were used to determine the factors that influence technical efficiency of farm households. The results revealed that chemical fertiliser, seed potato, plot size and labour are statistically significant factors that affect potato yield. The average technical efficiency score was estimated to be 75%; and education, experience, off-farm income, household size, membership in a farmers’ association, use of irrigation water, extension contact, use of improved seed, access to product market and weak coordination of stakeholders’ were significant factors influencing technical efficiency. The findings of the study suggest that there is a need for government intervention to create strong market linkage between producers and buyers and to give appropriate training to agricultural extension agents.

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Section: Discussionsupporting

confidence: 90%

Determinants of technical efficiency of potato farmers and effects of constraints on potato production in Northern Ethiopia

Andaregie

Astatkie

2020

Ex. Agric.

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“…Apart from paddy, of the key crops considered in the present study, i.e. maize, potato, soybean, chilli and B-onion, 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) [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. The TE of chilli cultivation was 0.78 with the greatest variability (standard error of mean [SEM] 0.19) among those crops, that signifies the unpredictable nature of the chilli cultivation [27][28][29][30][31].…”

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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“…Socioeconomic factors that affect technical efficiency in research were farming experience, number of family dependents, frequency of counseling, and research. Some socioeconomic factors that can affect technical efficiency are the age of farmers, education level, labor in the family, farm size, sex, gender, experience, microcredit, training, extension (see Villano 2006;Otitoju & Arene 2010;Akram et al 2013;Ligeon 2013;Tung 2013;Esham 2014;Majumder et al 2016). Technological factors in the study by Esham (2014) were dummy purchases of hybrid seeds and irrigation land ownership.…”

Section: Analysis Of Technical Efficiency and Inefficiencymentioning

confidence: 99%

Production efficiency of Inpago Unsoed-1 and Situbagendit rice farming in Central Java, Indonesia

et al. 2020

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Abstract. Mulyani A, Darwanto D, Widodo S, Masyuri. 2020. Production efficiency of Inpago Unsoed-1 and Situbagendit rice farming in Central Java, Indonesia. Biodiversitas 12: 3276-3286. Inpago Unsoed-1 rice is a new superior rice variety that is not as familiar as Situbagendit variety for farmers in Indonesia. As one of the new superior rice variety, Inpago Unsoed-1 is expected to improve farm business efficiency so that it can increase farmers' income. This study was conducted to figure out the factors influencing the production of Inpago Unsoed-1 and Situbagendit rice in Province of Central Java, and to recognize the level of technical, allocative and economic efficiencies of Inpago Unsoed-1 and Situbagendit rice farming in Province of Central Java. Research sites included selected regencies in Province of Central Jawa, such as Banyumas, Purbalingga, and Cilacap. Meanwhile, the selected districts were Kalibagor (Banyumas); Kalimanah, Kemangkon, Bukateja, Kutasari, Kaligondang, and Bobotsari (Purbalingga); and Gandrungmangu (Cilacap). Data were collected by direct observation and interviews using semi-structured questionnaire. The sampling technique used non-probability sampling using a purposive sampling method. Data were collected during December 2018-May 2019, 147 farmers were sampled, consisting of 71 and 76 farmers for Inpago Unsoed-1 and Situbagendit, respectively. Data were analyzed by using Cobb-Douglas production function and function of Stochastic Frontier. The results showed that production factors of land acreage (ha) and P fertilizer (kg) positively affected the production of Inpago Unsoed-1 rice, whereas seeds (kg), N fertilizer (kg) and pesticide (l) had negative impact on its production. On Situbagendit rice production, the positive and negative effects were revealed by land acreage (ha) as well as pesticide (l) and N fertilizer (kg), respectively. Technical, economic, and allocative efficiencies on Inpago Unsoed-1 rice farming were 0.75, 0.65, and 0.88, respectively, which were higher than those of Situbagendit, i.e. 0.73, 0.54 and 0.75, respectively.

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Technical Efficiency and Determinants of Maize Production by Smallholder Farmers in the Moneragala District of Sri Lanka

Abstract: Maze (Zea mays L.) is the second most important cereal crop after rice produced in Sri

Cited by 5 publications

References 10 publications

Determinants of technical efficiency of potato farmers and effects of constraints on potato production in Northern Ethiopia

Determinants of technical efficiency of potato farmers and effects of constraints on potato production in Northern Ethiopia

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

Production efficiency of Inpago Unsoed-1 and Situbagendit rice farming in Central Java, Indonesia

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