scholarly journals Analyzing the Performances of Water User Associations to Increase the Irrigation Sustainability: An Application of Multivariate Statistics to a Case Study in Italy

2020 ◽  
Vol 12 (16) ◽  
pp. 6327
Author(s):  
Demetrio Antonio Zema ◽  
Pasquale Filianoti ◽  
Daniela D’Agostino ◽  
Antonino Labate ◽  
Manuel Esteban Lucas-Borja ◽  
...  

Benchmarking techniques are useful and simple tools to analyze the performance of the collective irrigation in the Water User Associations (WUAs) towards an increase in service sustainability. Several benchmarking techniques have been proposed to process and predict performance indicators. Instead, some meaningful statistical techniques based on the distance of data samples, which overcome the limitations of the traditional benchmarking techniques, have never been applied to the collective irrigation sector. This study applies Permutational Multivariate Analysis of Variance (PERMANOVA), Multidimensional Scale Models (MDS), and Distance-Based Linear Models (DISTLM) as benchmarking techniques to evaluate the technical and financial performances of 10 WUAs in Calabria (Southern Italy). These benchmarking techniques revealed that the significant differences in the irrigated areas and financial self-sufficiency of the WUAs, shown by PERMANOVA, depend on the large variability of the remaining performance indicators. Both the MDS and DISTLM demonstrated that a higher number of associated users and larger irrigation service coverage allows an increase in the irrigated areas; this enlargement is facilitated if the water price and the size of the personnel staff decrease. The WUAs’ self-sufficiency is mainly influenced by the number of workers and the maintenance, organization, and management costs, while the impacts of the due service fees and water price are more limited; it is also convenient to increase the number of the associated farmers since this increases the economy of scale and the gross revenues of the irrigation service. Overall, from the analysis carried out for the regional case study, these benchmarking techniques seem to be powerful and easy tools to identify the problems of the irrigation service and help in planning the most suitable policies to improve the sustainability of the collective irrigation at the regional scale.


2015 ◽  
Vol 151 ◽  
pp. 87-92 ◽  
Author(s):  
D.G. Fernández-Pacheco ◽  
M. Ferrández-Villena ◽  
J.M. Molina-Martínez ◽  
A. Ruiz-Canales


2021 ◽  
Vol 255 ◽  
pp. 107013
Author(s):  
Elahe Vafaei ◽  
Saeed Shahabi Ahangarkolaee ◽  
Manuel Esteban Lucas-Borja ◽  
Hossein Shabanali Fami ◽  
Demetrio Antonio Zema






2019 ◽  
Vol 616 ◽  
pp. 211-218 ◽  
Author(s):  
CJ Sanders ◽  
DT Maher ◽  
JM Smoak ◽  
BD Eyre


2021 ◽  
Vol 13 (9) ◽  
pp. 5234
Author(s):  
Mustafa S. Al-Tekreeti ◽  
Salwa M. Beheiry ◽  
Vian Ahmed

Numerous decision support systems have been developed to address the decision-making process in organizations. However, there are no developed mechanisms to track commitment down the line to the decisions made by corporate leaders. This paper is a portion of a study that establishes a framework for a comprehensive metric system to assess commitment to Sustainable Development (SD) decisions down the line in capital projects, and sets the groundwork for further development of performance indicators for SD outcomes. This ultimately leads to investigating the relationship between commitment to corporate decisions and better project performance in SD parameters. Hence, this study explores the literature to extract relevant parameters that reflect the degree of the project participants’ commitment to SD decisions and to develop commitment indicators. The study created then validated an index to track this commitment along the project stages: the Sustainable Development Commitment Tracking Tool (SDCTT). The SDCTT was tested on an infrastructure project case study. In this paper, techniques relevant to the first stage of projects (planning and definition) are presented. The SDCTT is the groundwork for the future development of performance indicators for SD outcomes, and within the postulated model should ultimately contribute towards reducing project waste, energy use, and carbon emissions.



2021 ◽  
Vol 281 ◽  
pp. 116977
Author(s):  
Shushen Yang ◽  
Wenzhao Feng ◽  
Shiqin Wang ◽  
Liang Chen ◽  
Xin Zheng ◽  
...  


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