Measurement of the technical efficiency of small pineapple farmers in Santander, Colombia: a stochastic frontier approach

Trujillo, Juan; Iglesias, Wilman J.

doi:10.1590/s0103-20032013000600003

Cited by 17 publications

(16 citation statements)

References 12 publications

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“…To empirically examine technical efficiency of soybean production, the general stochastic frontier production model is estimated and the model for technical inefficiency proposed by Battese andCoelli (1993, 1995) is adopted to investigate the technical inefficiencies of soybean production. Aigner et al (1977) and Meeusen and van den Broeck (1977) introduced the stochastic production frontier based on parametric technique (Trujillo and Iglesias 2013) to estimate a firm's technical efficiency. Prior to estimating the model, we tested between the Cobb-Douglas and translog functional forms and the test results rejected the Cobb-Douglas indicating that translog functional form fits the data adequately.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Performance of Smallholder Soybean Farmers in Ghana; Evidence from Upper West Region of Ghana

Asodina

Adams

Nimoh

et al. 2020

Preprint

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The economic importance of soybean towards poverty alleviation and food security is gaining wider popularity and common acceptance among smallholder farmers in sub-Sahara Africa, especially in Ghana. Commercial soybean cultivation is relatively new in Ghana; hence it has recently benefited from several productivities enhancing innovation/technologies. However, despite these efforts, productivity has remained low. This paper investigates factors affecting production efficiency among commercial soybean farmers, across the three commercial districts of the Upper West region of Ghana. A cross-sectional data collected from 271 soybean farmers were used to investigate technical efficiency of soybean production. The overall mean technical efficiency estimate is 59% with a scale elasticity of 0.89-indicating a huge scope for efficiency improvement. The result shows that, factors affecting technical efficiency are dependent on the farmer’s socioeconomic status. With the existing technology and production recourses, soybean farmers can improve their current levels of soybean production by 41% through the adoption of best production practices.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Performance of Smallholder Soybean Farmers in Ghana; Evidence from Upper West Region of Ghana

Asodina

Adams

Nimoh

et al. 2020

Preprint

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“…Technical efficiency analysis has been found useful in identification of factors that contribute in inefficiency of different production systems (Shavgulidze et al 2017). The main motivation for measuring the technical efficiency is to understand differences in the levels of efficiency as well as differences in the context which production takes place (Trujillo and Iglesias 2013). In the wake of increased global tea market competition and high production costs, technical efficiency is a key determinant of the sustainability of Kenya's small-scale tea industry.…”

Section: Introductionmentioning

confidence: 99%

Technical efficiency of the small-scale tea processors in Kenya: a stochastic metafrontier approach

Gatimbu

Ogada

2020

AJEMS

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PurposeImportance of small-scale tea producers in Kenya is not in doubt. They account for 60% of all tea produced in the country, serve about 560,000 tea farmers and employ about 10,000 people directly. However, the subsector faces a myriad of challenges ranging from declining yields and rising costs of production to fluctuating world prices. Thus, it is imperative that the producers entrench efficiency as a critical success factor. This makes it important for the producers to understand their relative performances to inform decisions on improving input use. Congruent with this motivation, this study sought to analyze the technical efficiency (TE) of the country's small-scale tea processors within and across the regions under the management of Kenya Tea Development Authority.Design/methodology/approachTo allow comparison across regions, this study adopted a stochastic metafrontier approach and to be able to decompose inefficiency into persistent and time-varying components, the study adopted regression analysis.FindingsResults showed that the small-scale tea processors operated at a mean TE level of 76% with a technology gap ratio (TGR) of 97%. This implies that the prevailing level of output could be maintained even if inputs were reduced by 24%. Persistent inefficiency could be reduced possibly through rationalization of structural and managerial components of the firms.Research limitations/implicationsWhile it is important to adopt yield-enhancing technologies and innovation, small-scale tea processors have the latitude to improve their earnings through enhanced TE. They can save up to 24% of their input and be able to pay farmers better even with the fluctuating global tea prices. Enhancing TE should be given priority because it is within the control of the individual firms.Originality/valueThis is a pioneering study in panel data analysis of TE of small-scale tea processors within and across regions in Kenya.

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“…Other studies have conducted technical efficiency analyses in order to investigate how to maximize production output using the available resources (Farrell, 1957). Measuring technical efficiency is popular in the agricultural production economics literature; such analyses have been applied to vegetables in China (Xu et al, 2018), fish cage culture in Malaysia (Islam et al, 2016), pineapples in Colombia (Trujillo and Iglesias, 2013), rice in Vietnam (Khai and Yabe, 2011) and the Philippines (Villano and Fleming, 2006), wheat in Turkey (Alemdar and Ören, 2006), and crop and livestock farms in Poland (Latruffe et al, 2004). Technical efficiency is important for small farmers with small incomes, such as beekeepers.…”

Section: Introductionmentioning

confidence: 99%

Economics of technical efficiency in white honey production: Using stochastic frontier production function

Alropy

Desouki

Alnafissa

2019

Saudi Journal of Biological Sciences

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This study estimates and compares technical efficiency levels among beekeeping projects with various production capacities using a sample drawn from Fayoum Governorate in Egypt. The study also compares among beekeeping’s most important economic indicators, estimates the optimum production amount, and investigates why technical efficiency in Egyptian beekeeping is declining. We conclude that the average cost to produce one ton of honey decreases when production capacity increases. Furthermore, the average total, net return, and return on investment of one Egyptian pound increases when production capacity increases. Moreover, the results of a stochastic frontier production function indicate an increased return to scale. Finally, the results of maximum likelihood estimation show that technical inefficiency helps explain the deviation of actual from optimal production amounts.

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Measurement of the technical efficiency of small pineapple farmers in Santander, Colombia: a stochastic frontier approach

Cited by 17 publications

References 12 publications

Performance of Smallholder Soybean Farmers in Ghana; Evidence from Upper West Region of Ghana

Performance of Smallholder Soybean Farmers in Ghana; Evidence from Upper West Region of Ghana

Technical efficiency of the small-scale tea processors in Kenya: a stochastic metafrontier approach

Economics of technical efficiency in white honey production: Using stochastic frontier production function

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