Technical efficiency and farm size: a conditional analysis

Álvarez, Antonio; Arias, Carlos

doi:10.1111/j.1574-0862.2004.tb00192.x

Cited by 152 publications

(66 citation statements)

References 29 publications

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“…These findings are consistent with earlier observations by Jovanovic (1982), Kalaitzandonakes et al (1992), Sharma et al (1999), Lundvall and Battese (2000), and Alvarez and Arias (2004), who have all reported a positive relation between average total productivity and farm size. The utilization of some production factors such as labor, for example, often does not increase in a linear form with the farm size.…”

Section: Discussionsupporting

confidence: 83%

Gender discrimination and its impact on income, productivity, and technical efficiency: evidence from Benin

Kinkingninhoun-Medagbe

Diagne

Simtowe

et al. 2008

Agric Hum Values

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This paper examines the occurrence and impact of gender discrimination in access to production resources on the income, productivity, and technical efficiency of farmers. Through an empirical investigation of farmers from Koussin-Lélé, a semi-collective irrigated rice scheme in central Benin, we find that female rice farmers are particularly discriminated against with regard to scheme membership and access to land and equipment, resulting in significant negative impacts on their productivity and income. Although women have lower productivity, they are as technically efficient as men. The findings suggest that there is considerable scope for improving the productivity of women through increasing their access to production resources.

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Section: Discussionsupporting

confidence: 83%

Gender discrimination and its impact on income, productivity, and technical efficiency: evidence from Benin

Kinkingninhoun-Medagbe

Diagne

Simtowe

et al. 2008

Agric Hum Values

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“…The Risk aversion index was constructed by Principal Component Analysis and measures risk aversion on the basis of self-assessment questions and preferences of hypothetical yield scenarios that vary in the level and variability of yields. 6 We included Cultivated area as a potential efficiency determinant, for whose effect there exists conflicting evidence in the literature (Alvarez and Arias 2004). Since, ceteris paribus, farmers with very limited land resources may have incentives to increase yields through meticulous crop and input management, we expect an inverse relationship with TE.…”

Section: Model Specificationmentioning

confidence: 99%

Zero-tillage as a pathway for sustainable wheat intensification in the Eastern Indo-Gangetic Plains: does it work in farmers’ fields?

Keil

Dsouza

McDonald³

2015

Food Sec.

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In controlled-condition field trials across South Asia, zero-tillage (ZT) has demonstrated considerable scope for enhancing wheat productivity in the Indo-Gangetic Plains (IGP) while using less energy and irrigation water. However, studies that quantify the impact of ZT in farmers' fields are scarce, especially in the less productive and densely populated Eastern IGP, an area that the Indian government is targeting for investment to address current and future food insecurity. Furthermore, a recent global meta-analysis has questioned the yield benefits of ZT, especially when permanent soil cover with crop residues is not maintained. To assess the realworld performance of ZT wheat in Eastern India, we quantified the productivity impact of current ZT practices in the State of Bihar, based on a random sample of 1000 wheatgrowing households, stratified by ZT adoption status. CobbDouglas stochastic production frontiers estimated the effect of ZT on wheat output while controlling for potential selection bias between ZT users and non-users regarding crop management. In contrast to the global meta-analysis, we found that the prevailing ZT practices without full residue retention led to a robust yield gain over conventional-tillage wheat across different agro-ecological zones, amounting to 498 kg ha −1 (19 %), on average. The economic benefit from ZT related yield increase and cost savings in wheat production amounted to 6 % of total annual income among sampled households. We conclude that ZT users reap substantial benefits, and that ZT technology could play a major role in making Bihar selfsufficient in wheat. To increase access to the technology among smallholders, an expansion of the network of ZT service providers is essential and can be supported through targeted policies and development interventions.

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“…The purpose of DEA linear programming approach is to minimize in a multiple-output model the used multiple-input in each farm or unit of production, that is simply a ratio of efficiency between the variable input (x ijo ) and produced output (y rjo ) and u r, ,v i are the weights to assess the solution of the efficiency problem, written in a mathematical model as (Coelli et al, 2005): max h = Σ r u r y rjo /Σ i v i x ijo (1) h is the minimizing of multiple-input model or the maximization of produced output in the multiple-output method. s.t.…”

Section: Methodsmentioning

confidence: 99%

“…Usually, the poorer is the agricultural area and farm size the lower is the level of efficiency and farmer's income (Lund and Hill, 1979;Alvarez and Arias, 2004;Galluzzo, 2013). Despite this conceptual theoretical framework, other authors in some European countries have pointed out as small farms, due to a simplified traditional organization and management of cropping system, have had better results in terms of technical and economic efficiency than large farms and corporate agrarian enterprises (Gorton and Davidova, 2004); hence, the farm size impacts partially on the level of technical efficiency (Nowak et al, 2015;Galluzzo, 2013;.…”

Section: Introductionmentioning

confidence: 99%

Medium Term Analysis of Technical and Allocative Efficiency in Romanian Farms Using FADN Dataset

Galluzzo¹

2017

BUASVMCN-HORT

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The Farm Accountancy Data Network (FADN) is an annual survey established by the European Union in order to estimate the economic impact of the Common Agricultural Policy on farmers. Lots of scholars have investigated the technical, economical and allocative efficiency using a non-parametric approach such as the Data Envelopment Analysis (DEA). Romanian farms belonging to the Farm Accountancy Data Network dataset have highlighted modest levels of technical efficiency compared to the average European value investigated by other authors. The purpose of this study was to assess using the DEA approach technical, economic and allocative efficiency in Romanian farms belonging to the FADN dataset from 2007 to 2012. Findings have pointed out an increase of technical efficiency compared to previous studies carried out in transition economies such as Poland, Slovenia and Bulgaria, as a consequence of an intense generational turn over in Romanian characterized by a younger high skill and qualified farmers' generation. Poor land capital, in terms of utilized agricultural areas, and a low level of investments in new technologies, were the main downsides in Romanian farms; hence, the National Rural Development Plan should improve financial subsides in order to get better modest agrarian plots in farms scattered in the Romanian rural space.

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Technical efficiency and farm size: a conditional analysis

Cited by 152 publications

References 29 publications

Gender discrimination and its impact on income, productivity, and technical efficiency: evidence from Benin

Gender discrimination and its impact on income, productivity, and technical efficiency: evidence from Benin

Zero-tillage as a pathway for sustainable wheat intensification in the Eastern Indo-Gangetic Plains: does it work in farmers’ fields?

Medium Term Analysis of Technical and Allocative Efficiency in Romanian Farms Using FADN Dataset

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