Direct and indirect effect of irrigation water availability on crop revenue in northwest Ethiopia: A structural equation model

Zewdie, Markose Chekol; Passel, Steven Van; Cools, Jan; Tenessa, Daregot Berihun; Ayele, Zemen Ayalew; Tsegaye, Enyew Adgo; Minale, Amare Sewnet; Nyssen, Jan

doi:10.1016/j.agwat.2019.04.013

Cited by 17 publications

(21 citation statements)

References 34 publications

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“…This implies that improving irrigation infrastructure can shift the frontier up and has a positive impact on smallholder farmers' output. The same result is obtained by [11,41,42]. In line with the results of [43,44], land size was found to be the most important factor of production with the highest level of elasticity (1.658).…”

Section: Econometric Results Of the Sfpf Model Estimationsupporting

confidence: 84%

“…exceeds that of the SSIU farmers (26,066.59 ETB). Similar to the results of Zewdie et al [11], the mean annual gross value of crops produced by irrigation user smallholder farmers in the study area (33,881.37 ETB) is also higher than that of the non-user smallholder farmers (7429.93 ETB). In terms of input application, irrigation user smallholder farmers used relatively more inputs than the non-user farmers.…”

Section: Of 17supporting

confidence: 90%

“…In the Fogera small-scale irrigation scheme, the majority of the canals are earthen, most of the cemented canals are broken and are not well constructed, and some of the farm plots are far from the sources of irrigation water [12,20]. In the Mecha district, on the other hand, irrigation water-based on gravity-flows from the reservoir to the farm plots via long and well-constructed cemented canals, which provide water for around 7000 hectares of land during the dry season [11].…”

Section: Description Of the Study Area And The Data Usedmentioning

confidence: 99%

“…farm plots via long and well-constructed cemented canals, which provide water for around 7000 hectares of land during the dry season [11]. This study is based on a unique cross-sectional dataset collected through a structured household survey prepared with Qualtrics (a web-based software that allows the user to create surveys and generate reports).…”

Section: Description Of the Study Area And The Data Usedmentioning

confidence: 99%

“…However, little attempt has been made to understand the performance of large and small-scale irrigation user farmers as compared to the nonuser farmers in Ethiopia. Previous studies focused on the difference between irrigation user and non-user farmers in income [11][12][13], quality of life [11,12,14] and the impact of having access to irrigation on poverty [15,16] and food security [17] without considering the differences in the technical efficiency (TE) of smallholder farmers. The results of these studies have shown that irrigation user farmers produce more, earn a better income, have a relatively better life, and are relatively rich and food-secure than the non-user smallholder farmers.…”

Section: Introductionmentioning

confidence: 99%

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Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach

Zewdie

Moretti

Tenessa

et al. 2021

Land

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In the past decade, to improve crop production and productivity, Ethiopia has embarked on an ambitious irrigation farming expansion program and has introduced new large- and small-scale irrigation initiatives. However, in Ethiopia, poverty remains a challenge, and crop productivity per unit area of land is very low. Literature on the technical efficiency (TE) of large-scale and small-scale irrigation user farmers as compared to the non-user farmers in Ethiopia is also limited. Investigating smallholder farmers’ technical efficiency (TE) level and its principal determinants is very important to increase crop production and productivity and to improve smallholder farmers’ livelihood and food security. Using 1026 household-level cross-section data, this study adopts a technology flexible stochastic frontier approach to examine agricultural TE of large-scale irrigation users, small-scale irrigation users and non-user farmers in Ethiopia. The results indicate that, due to poor extension services and old-style agronomic practices, the mean TE of farmers is very low (44.33%), implying that there is a wider room for increasing crop production in the study areas through increasing the TE of smallholder farmers without additional investment in novel agricultural technologies. Results also show that large-scale irrigation user farmers (21.05%) are less technically efficient than small-scale irrigation user farmers (60.29%). However, improving irrigation infrastructure shifts the frontier up and has a positive impact on smallholder farmers’ output.

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Section: Econometric Results Of the Sfpf Model Estimationsupporting

confidence: 84%

Section: Of 17supporting

confidence: 90%

Section: Description Of the Study Area And The Data Usedmentioning

confidence: 99%

Section: Description Of the Study Area And The Data Usedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach

Zewdie

Moretti

Tenessa

et al. 2021

Land

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IoT Monitoring of Water Consumption for Irrigation Systems Using SEMMA Methodology

López-Torres

Rocha-Rocha

et al. 2020

Intelligent Human Computer Interaction

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The efficient use of water is an issue that has captured the attention of scientists, technicians, and the community at large. The sustainability of water resources has been threatened by the current imbalance between water supply and demand. Intelligent consumption of water would contribute to the balance and reduce the waste in applications such as the agriculture. This paper shows the design of a water consumption monitoring system based on the Internet of Things (IoT). With the implementation of this system could be known in real time the consumption of water in a crop. In addition, the user of the system may take corrective actions that optimize their water consumption; this is achieved by applying the SEMMA methodology to evaluate the data obtained by the system using two cluster algorithms, Simple K-means and GenClus++. With the application of SEMMA it was possible to determine periods of water consumption that were considered as waste in the irrigation of crops, applying data analysis with both algorithms.

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Sustainable Solutions to Food Insecurity in Nigeria: Perspectives on Irrigation, Crop-Water Productivity, and Antecedents

Wudil

Ali²,

Raza³

et al. 2022

Global Agricultural Production: Resilience to Climate Change

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Direct and indirect effect of irrigation water availability on crop revenue in northwest Ethiopia: A structural equation model

Cited by 17 publications

References 34 publications

Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach

Agricultural Technical Efficiency of Smallholder Farmers in Ethiopia: A Stochastic Frontier Approach

IoT Monitoring of Water Consumption for Irrigation Systems Using SEMMA Methodology

Sustainable Solutions to Food Insecurity in Nigeria: Perspectives on Irrigation, Crop-Water Productivity, and Antecedents

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