Prospective Models for Water Service Demand and Price Analyses

One way to address the practical challenges of the current problems of water services is through demand-side measures. These types of measures impact on demand through price changes or on water use control, considering that the impacts of these measures would be extremely useful in order to implemen...

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Main Authors: Alberto del Villar, Joaquín Melgarejo
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/6/1613
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spelling doaj-708dc30a6c5949aca1877211c6ed9ee12020-11-25T03:53:59ZengMDPI AGWater2073-44412020-06-01121613161310.3390/w12061613Prospective Models for Water Service Demand and Price AnalysesAlberto del Villar0Joaquín Melgarejo1Department of Economics and Business, University of Alcala, Plaza de la Victoria, 2, Alcala de Henares, 28802 Madrid, SpainUniversity Institute of the Water and the Environmental Sciences, University of Alicante, Carretera de San Vicente del Raspeig s/n, San Vicente del Raspeig, 03690 Alicante, SpainOne way to address the practical challenges of the current problems of water services is through demand-side measures. These types of measures impact on demand through price changes or on water use control, considering that the impacts of these measures would be extremely useful in order to implement an adequate policy mix. One of the objectives of this paper is to show the possibilities of water management tools, particularly the use of prospective prices and demand models, in order to anticipate scarcity scenarios. This can best be done using better predictive models. Current computer tools provide a good basis for developing applications to perform prospective analysis on water prices and demand. Through simulation, we can try to optimize financial flows of costs and revenues based on the behavior of certain variables. This aims to find a better combination of price levels for urban water uses, making it possible to adjust the chargeback mechanisms, the level of cost recovery of investments, and the allocation between user types. This paper aims to show the advantages of these tools and illustrates its usefulness with a registered model that allows simulations of potential scenarios resulting from certain management measures.https://www.mdpi.com/2073-4441/12/6/1613water demand simulation modelswater managementwater priceswater demand
collection DOAJ
language English
format Article
sources DOAJ
author Alberto del Villar
Joaquín Melgarejo
spellingShingle Alberto del Villar
Joaquín Melgarejo
Prospective Models for Water Service Demand and Price Analyses
Water
water demand simulation models
water management
water prices
water demand
author_facet Alberto del Villar
Joaquín Melgarejo
author_sort Alberto del Villar
title Prospective Models for Water Service Demand and Price Analyses
title_short Prospective Models for Water Service Demand and Price Analyses
title_full Prospective Models for Water Service Demand and Price Analyses
title_fullStr Prospective Models for Water Service Demand and Price Analyses
title_full_unstemmed Prospective Models for Water Service Demand and Price Analyses
title_sort prospective models for water service demand and price analyses
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2020-06-01
description One way to address the practical challenges of the current problems of water services is through demand-side measures. These types of measures impact on demand through price changes or on water use control, considering that the impacts of these measures would be extremely useful in order to implement an adequate policy mix. One of the objectives of this paper is to show the possibilities of water management tools, particularly the use of prospective prices and demand models, in order to anticipate scarcity scenarios. This can best be done using better predictive models. Current computer tools provide a good basis for developing applications to perform prospective analysis on water prices and demand. Through simulation, we can try to optimize financial flows of costs and revenues based on the behavior of certain variables. This aims to find a better combination of price levels for urban water uses, making it possible to adjust the chargeback mechanisms, the level of cost recovery of investments, and the allocation between user types. This paper aims to show the advantages of these tools and illustrates its usefulness with a registered model that allows simulations of potential scenarios resulting from certain management measures.
topic water demand simulation models
water management
water prices
water demand
url https://www.mdpi.com/2073-4441/12/6/1613
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