Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms

Lambarraa, Fatima; Serra, Teresa; Gil, José M.

doi:10.5424/sjar/2007053-247

Cited by 38 publications

(32 citation statements)

References 16 publications

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“…This simple statistical test further reinforced the assumption that there was a technical inefficiency of cocoa farming in the Central Sulawesi. This estimate was in accordance with previous work (Lambarraa et al, 2007).…”

Section: Estimated Results Of Production Function Of Cocoa Farmingsupporting

confidence: 82%

Factors affecting variation of total factor productivity in cocoa farming in the Central Sulawesi, Indonesia

Effendy¹

2018

Aust J Crop Sci

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One of the main cocoa producing areas in Indonesia is the Central Sulawesi region. Cocoa farmers have been given extension and training about agricultural technology such as pruning, fertilizing and side grafting. Nevertheless, the cocoa productivity is still low. This case has been questioned by authorities; so this research aims to measure and analyze the factors that have affected the variation of total factor productivity (TFP) in cocoa farming in the Central Sulawesi. The study selected a total of 424 cocoa farmers using a simple random sampling technique. The model of stochastic frontier function of translog forms was used to anticipate factors affecting cocoa production. The Cobb-Douglas production function was used in TFP variation. The results showed that TFP of cocoa farming varied from a minimum of 0.371 to a maximum of 1.407 with an average of 0.803. Technical efficiency, education, extension access, cocoa farming experience, sanitation, and fermented cocoa beans affected TFP variation significantly. These six factors appeared to be the main determinant factors of TFP variation. However, technical efficiency was the most important factor, so policies should aim at mobilizing resources toward expanding education and extension. In addition, extension services should provide information to cocoa farmers on using inputs efficiently.

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Section: Estimated Results Of Production Function Of Cocoa Farmingsupporting

confidence: 82%

Factors affecting variation of total factor productivity in cocoa farming in the Central Sulawesi, Indonesia

Effendy¹

2018

Aust J Crop Sci

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“…Several studies aim to explain the evolution and restructuring of farming structures, farm diversity and farm performance (e.g. Lambarra et al, 2007;Latruffe et al, 2012;Bojnec & Latruffe, 2013). Most of these studies, however, are restricted to a single country case, and when papers focusing on Gibrat's Law are considered, to non-transition economies.…”

Section: Literature Reviewmentioning

confidence: 99%

Farm size and growth in field crop and dairy farms in France, Hungary and Slovenia

Bakucs

Bojnec

Fertő

et al. 2013

Span. j. agric. res.

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The aim of this article is to investigate the relationship between size and farm growth. The existing theories of the association between size and farm growth give mixed results by countries and over time. This paper pursues a twofold objective: on one hand, to test the validity of Gibrat’s Law for French, Hungarian and Slovenian specialized dairy and crop farms during the pre- and post-accession period to the European Union membership. Dairy and crops farms are prevailing in the farming structure of these countries. Using Farm Accountancy Data Network datasets makes it necessary to avoid biases due to heterogeneous structures across the farming systems. Thus we use quantile regressions to control for farm size related heterogeneity in the samples. On the other hand, the main novelty of this paper is the comparative analysis of the relationship between farm size and farm growth between transition Hungarian and Slovenian and non-transition French farming sectors, characterized by rather different farm structures. The results reject the validity of Gibrat’s Law for crop farms in Hungary and to a lesser extent in France, and for French and Slovenian dairy farms. We provide evidence that smaller farms grew faster than larger ones over the studied period 2001-2007 for France, 2001-2008 for Hungary, and 2004-2008 for Slovenia. Conversely, the results for Slovenia suggest that the rate of growth of crop farms in terms of its land is independent from its size.

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“…(Tzouvelekas et al, 1999), whereas it showed a decreasing trend in the case of the island of Crete, from 87.5% to 63.7% during the same period (Tzouvelekas, Giannakas, Midmore, & Mattas, 1997). Similarly, the estimated level of technical efficiency for Spanish olive farms was 75.5% on average during the period 1999-2002 (Lambarraa et al, 2007). For Tunisian olive farms, the estimated technical efficiency for the Mahdia region was 83.5% on the basis of data collected from 1999 to 2002 (Lachaal et al, 2004), whereas it was 82% for farmers in the Sfax region, over the period from 1994 to 1997 (Lachaal et al, 2005).…”

Section: Empirical Results and Discussionmentioning

confidence: 99%

“…Lambarraa, Serra and Gil (2007) assessed relative technical efficiency by decomposing the productivity growth of Spanish olive-growing farms, and found that farm location, age of manager, and composition of the workforce affect efficiency levels. By looking at the heterogeneity of olive farms in Andalusia (Spain), such as the age of olive trees, irrigation, intensity of farming and land slope, Amores and Contreras (2009) examined farm efficiency using data envelopment analysis (DEA).…”

Section: Introductionmentioning

confidence: 99%

Technical Efficiency of Olive-growing Farms in the Northern West Bank of Palestine

Kashiwagi¹

2017

SAR

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This study examines the firm-level technical efficiency of olive-growing farms in the West Bank of Palestine. Using a sample of 176 olive farms in the Jenin governorate collected during September 2015, we estimated the Cobb-Douglas stochastic frontier production function. The results suggest that higher levels of education of the head of farm households and farms with a higher density of olive trees are associated with higher technical efficiency. The introduction of irrigation had a marginal effect on upgrading efficiency. Enlarging the irrigated area had a negative effect, but increasing the number of years of irrigation had a positive impact on efficiency. While the impact of access to export markets on technical efficiency was negative and farms oriented towards domestic consumption of olive oil showed lower efficiency, access to markets through olive presses and middlemen contributed to improve efficiency. The results of the chosen half-normal model suggest that olive farms in Jenin have the potential to increase production by 51.4% through more efficient use of technology and production inputs. These results imply promotion of intensive farming with mature olive trees and expansion of market access could contribute to improve technical efficiency of olive farms in the West Bank even under severe geographical and geopolitical conditions.

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Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms

Cited by 38 publications

References 16 publications

Factors affecting variation of total factor productivity in cocoa farming in the Central Sulawesi, Indonesia

Factors affecting variation of total factor productivity in cocoa farming in the Central Sulawesi, Indonesia

Farm size and growth in field crop and dairy farms in France, Hungary and Slovenia

Technical Efficiency of Olive-growing Farms in the Northern West Bank of Palestine

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