Measuring Irrigation Water Efficiency with a Stochastic Production Frontier: An Application to Greek Out-of-Season Vegetable Cultivation

Karagiannis, Giannis; Tzouvelekas, Vangelis; Xepapadeas, Anastasios

doi:10.1007/978-94-015-9984-9_5

Cited by 40 publications

(83 citation statements)

References 18 publications

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“…An input-oriented technical efficiency measures the decision maker's management ability to use the minimum amount of inputs while obtaining a given output [32]. In this sense, an advanced but improperly managed irrigation system may be technically inefficient and consume as much water as a well-managed traditional irrigation system [9]. The definition of IWE, based on the concept of input-specific technical efficiency, highlights the management ability of farm households in water resource utilization.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…Estimating Equation (4) generates direct estimates of input-oriented technical inefficiency. Most previous studies have used an output-oriented approach and derived input technical efficiency from the regression results [9][10][11][12][13]. Moreover, we can employ the one-step approach by estimating Equation (4) together with Equation (5), which is expressed as…”

Section: Empirical Specificationmentioning

confidence: 99%

“…Studies have examined the relationship between irrigation water efficiency and other factors, including farm household characteristics (e.g., age, education, family labor, income levels and access to credit), land characteristics (e.g., farm size, degree of land fragmentation, soil quality and land ownership) and households' access to other resources such as extension services and farm skills training [9][10][11][12][13]. One additional factor often considered is the perception of water scarcity by household members who make decisions on agricultural production activities.…”

Section: Introductionmentioning

confidence: 99%

“…It has been found that households spending more time on farming have lower IWE and that there is a significant positive relationship between household total income and IWE [13]. Karagiannis et al found that off-farm income significantly affects production efficiency but has no significant impact on IWE [9]. In summary, the overall effect of off-farm employment on IWE seems ambiguous, and remains an empirical question.…”

Section: Introductionmentioning

confidence: 99%

“…IWE is defined as the ratio of the minimum amount of water needed to produce a given level of output, conditional on levels of other inputs, to the amount of water actually applied [9,16,18].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Impacts of Off-Farm Employment on Irrigation Water Efficiency in North China

Yin

Huang

Yang

et al. 2016

Water

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This paper examines the impacts of off-farm employment on irrigation water efficiency (IWE) with a set of household level data collected in Hebei Province in North China. A major finding is that households with higher shares of laborers working off-farm locally seem to achieve higher IWEs. The effect of local off-farm employment is greater among those households that have made more efforts to use furrow irrigation. We also find that households with higher shares of elderly laborers and those with larger land holding are associated with lower IWEs. Households with better soil quality and those that pump from deeper wells are associated with higher IWEs.

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Section: Conceptual Frameworkmentioning

confidence: 99%

Section: Empirical Specificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Impacts of Off-Farm Employment on Irrigation Water Efficiency in North China

Yin

Huang

Yang

et al. 2016

Water

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Estimating Technical and Irrigation Water Productivities in Rice Production in Tamil Nadu, India

Palanisami

Ramarao²,

Samiappan

et al. 2017

Irrig. and Drain.

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The overall measure of farm‐level technical efficiency is generally used to derive recommendations for the use of individual inputs. In this paper, joint estimation is made of technical and individual input‐use (e.g. irrigation water productivity) efficiencies. This indicates that overall technical efficiency is not an indication of the efficiency level of all the individual inputs used. This is because the efficiency of individual inputs may vary and suggests that greater effort should be made to improve such efficiencies in comparison with overall technical efficiency. The model is applied to rice production in four tank‐irrigated districts in Tamil Nadu, India, which is one of the most important tank‐irrigated areas in India. The average technical efficiency is 62.8%, which indicates that in order to achieve the present level of production, 62.8% of the current level of input resources is sufficient. Average irrigation water productivity is estimated at ~34%, indicating that current output levels could be achieved with 66% less irrigation water. These findings also suggest the need for improvements in crop and water productivity. Thus, the paper makes a contribution in the form of a methodology development for possible adoption in future irrigation water productivity studies. Copyright © 2017 John Wiley & Sons, Ltd.

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Analysis of the Performance of Government Investment and Interventions to Promote Small‐Scale Irrigation Works in China's Major Grain‐Producing Areas‐Based on the Two‐Step Model of Malmquist‐FGLS

Luo

Sun

et al. 2017

Irrigation and Drainage

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China's major grain‐producing areas have the important role of ensuring the nation's grain security. Farmland water conservation projects, which are financed by government investment and promoted by additional government policies, are vital for grain and agricultural production. Analysing the determinants of good performance of farmland water conservation, and the performance of government investments and interventions in major grain‐producing areas, are important for understanding whether the scale and structure of investment are reasonable and, hence, efficient. We apply the data envelopment analysis (DEA) Malmquist index method and panel data feasible generalized least squares (FGLS) model to data from China's major grain‐producing areas between 1990 and 2014. Based on this two‐step Malmquist and FGLS model, we estimate the performance of farmland water conservation and the determinants of performance, emphasizing the effects of government investment and other public policies. The results show that current investment policies do not result in efficient performance in farmland water conservation projects. The scale of investment is too small and its structure needs to be adjusted. In contrast, increasing the level of economic development promotes the performance of these investments. However, rural education focusing on urban jobs rather than on modern farming skills pulls in the opposite direction. Copyright © 2017 John Wiley & Sons, Ltd.

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Measuring Irrigation Water Efficiency with a Stochastic Production Frontier: An Application to Greek Out-of-Season Vegetable Cultivation

Cited by 40 publications

References 18 publications

Impacts of Off-Farm Employment on Irrigation Water Efficiency in North China

Impacts of Off-Farm Employment on Irrigation Water Efficiency in North China

Estimating Technical and Irrigation Water Productivities in Rice Production in Tamil Nadu, India

Analysis of the Performance of Government Investment and Interventions to Promote Small‐Scale Irrigation Works in China's Major Grain‐Producing Areas‐Based on the Two‐Step Model of Malmquist‐FGLS

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