Alternative irrigation water pricing policies: an Econometric Mathematical Programming Model
Considering the important role of irrigation in the socio-economic development of the Alentejo region in Portugal, this paper aims to assess the economic impact of water pricing in the context of the public irrigation scheme of Odivelas. The methodological framework uses Positive Mathematical Progra...
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description | Considering the important role of irrigation in the socio-economic development of the Alentejo region in Portugal, this paper aims to assess the economic impact of water pricing in the context of the public irrigation scheme of Odivelas. The methodological framework uses Positive Mathematical Programming (PMP) and, as an alternative, Econometric Mathematical Programming (EMP) based on the estimation of optimality conditions. The model parameters were estimated using the entropy approach and information priors. The models were formulated on the aggregated scale of the irrigated scheme, considering the main regional irrigated crops as well as land, labour, capital and water resources. The main results lead to the conclusions that EMP model performs better than PMP and that under a twopart tariff approach the block pricing scheme is better than the volumetric pricing scheme. Keywords: estimation, entropy, EMP, water management, pricing policy. Considerant le role important de l'irrigation dans le developpement socio-economique de la region de l'Alentejo au Portugal, cet article a pour objectif d'evaluer l'impact economique de la tarification de l'eau dans le perimetre d'irrigation publique d'Odivelas. Le cadre methodologique retenu utilise l''approche de la Programmation mathematique positive (PMP) et comme alternative, la Programmation mathematique econometrique (PME) basee sur l'estimation des conditions d'optimalite. Les parametres du modele ont ete estimes en s'appuyant sur l'approche de l'entropie et de l'information a priori. Les modeles ont ete elabores a l'echelle agregee du perimetre irrigue, compte tenu des principales cultures irriguees dans la region ainsi que des principales ressources, terre, travail, capital et eau. Les principaux resultats amenent a conclure que le modele PME est plus performant que le PMP et que dans une approche tarifaire en deux parties, le systeme de tarification de bloc est a preferer au systeme de tarification volumetrique. Mots-cles: estimation, entropie, PME, gestion de l'eau, politique de tarification. |
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The methodological framework uses Positive Mathematical Programming (PMP) and, as an alternative, Econometric Mathematical Programming (EMP) based on the estimation of optimality conditions. The model parameters were estimated using the entropy approach and information priors. The models were formulated on the aggregated scale of the irrigated scheme, considering the main regional irrigated crops as well as land, labour, capital and water resources. The main results lead to the conclusions that EMP model performs better than PMP and that under a twopart tariff approach the block pricing scheme is better than the volumetric pricing scheme. Keywords: estimation, entropy, EMP, water management, pricing policy. Considerant le role important de l'irrigation dans le developpement socio-economique de la region de l'Alentejo au Portugal, cet article a pour objectif d'evaluer l'impact economique de la tarification de l'eau dans le perimetre d'irrigation publique d'Odivelas. Le cadre methodologique retenu utilise l''approche de la Programmation mathematique positive (PMP) et comme alternative, la Programmation mathematique econometrique (PME) basee sur l'estimation des conditions d'optimalite. Les parametres du modele ont ete estimes en s'appuyant sur l'approche de l'entropie et de l'information a priori. Les modeles ont ete elabores a l'echelle agregee du perimetre irrigue, compte tenu des principales cultures irriguees dans la region ainsi que des principales ressources, terre, travail, capital et eau. Les principaux resultats amenent a conclure que le modele PME est plus performant que le PMP et que dans une approche tarifaire en deux parties, le systeme de tarification de bloc est a preferer au systeme de tarification volumetrique. Mots-cles: estimation, entropie, PME, gestion de l'eau, politique de tarification.</description><identifier>ISSN: 1594-5685</identifier><identifier>EISSN: 2611-1128</identifier><language>eng</language><publisher>Bari: Edizioni Dedalo</publisher><subject>Capital ; Econometrics ; Economic development ; Economic impact ; Economic models ; Entropy ; Impact analysis ; Irrigation ; Irrigation water ; Management ; Mathematical models ; Mathematical programming ; Methods ; Parameter estimation ; Prices and rates ; Pricing ; Tariffs ; Water ; Water resources</subject><ispartof>New Medit, 2015-12, Vol.14 (4), p.42</ispartof><rights>COPYRIGHT 2015 Edizioni Dedalo</rights><rights>2015. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids></links><search><creatorcontrib>Fragoso, Rui Manuel de Sousa</creatorcontrib><creatorcontrib>Marques, Carlos Alberto Falcao</creatorcontrib><title>Alternative irrigation water pricing policies: an Econometric Mathematical Programming Model</title><title>New Medit</title><description>Considering the important role of irrigation in the socio-economic development of the Alentejo region in Portugal, this paper aims to assess the economic impact of water pricing in the context of the public irrigation scheme of Odivelas. The methodological framework uses Positive Mathematical Programming (PMP) and, as an alternative, Econometric Mathematical Programming (EMP) based on the estimation of optimality conditions. The model parameters were estimated using the entropy approach and information priors. The models were formulated on the aggregated scale of the irrigated scheme, considering the main regional irrigated crops as well as land, labour, capital and water resources. The main results lead to the conclusions that EMP model performs better than PMP and that under a twopart tariff approach the block pricing scheme is better than the volumetric pricing scheme. Keywords: estimation, entropy, EMP, water management, pricing policy. Considerant le role important de l'irrigation dans le developpement socio-economique de la region de l'Alentejo au Portugal, cet article a pour objectif d'evaluer l'impact economique de la tarification de l'eau dans le perimetre d'irrigation publique d'Odivelas. Le cadre methodologique retenu utilise l''approche de la Programmation mathematique positive (PMP) et comme alternative, la Programmation mathematique econometrique (PME) basee sur l'estimation des conditions d'optimalite. Les parametres du modele ont ete estimes en s'appuyant sur l'approche de l'entropie et de l'information a priori. Les modeles ont ete elabores a l'echelle agregee du perimetre irrigue, compte tenu des principales cultures irriguees dans la region ainsi que des principales ressources, terre, travail, capital et eau. Les principaux resultats amenent a conclure que le modele PME est plus performant que le PMP et que dans une approche tarifaire en deux parties, le systeme de tarification de bloc est a preferer au systeme de tarification volumetrique. 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Marques, Carlos Alberto Falcao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g255t-3a268299c5c7592b6d99d11c43796367e8a566982db612d51589d9cca98971933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Capital</topic><topic>Econometrics</topic><topic>Economic development</topic><topic>Economic impact</topic><topic>Economic models</topic><topic>Entropy</topic><topic>Impact analysis</topic><topic>Irrigation</topic><topic>Irrigation water</topic><topic>Management</topic><topic>Mathematical models</topic><topic>Mathematical programming</topic><topic>Methods</topic><topic>Parameter estimation</topic><topic>Prices and rates</topic><topic>Pricing</topic><topic>Tariffs</topic><topic>Water</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fragoso, Rui Manuel de Sousa</creatorcontrib><creatorcontrib>Marques, Carlos Alberto Falcao</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Agricultural Science Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>New Medit</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fragoso, Rui Manuel de Sousa</au><au>Marques, Carlos Alberto Falcao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Alternative irrigation water pricing policies: an Econometric Mathematical Programming Model</atitle><jtitle>New Medit</jtitle><date>2015-12-01</date><risdate>2015</risdate><volume>14</volume><issue>4</issue><spage>42</spage><pages>42-</pages><issn>1594-5685</issn><eissn>2611-1128</eissn><abstract>Considering the important role of irrigation in the socio-economic development of the Alentejo region in Portugal, this paper aims to assess the economic impact of water pricing in the context of the public irrigation scheme of Odivelas. The methodological framework uses Positive Mathematical Programming (PMP) and, as an alternative, Econometric Mathematical Programming (EMP) based on the estimation of optimality conditions. The model parameters were estimated using the entropy approach and information priors. The models were formulated on the aggregated scale of the irrigated scheme, considering the main regional irrigated crops as well as land, labour, capital and water resources. The main results lead to the conclusions that EMP model performs better than PMP and that under a twopart tariff approach the block pricing scheme is better than the volumetric pricing scheme. Keywords: estimation, entropy, EMP, water management, pricing policy. Considerant le role important de l'irrigation dans le developpement socio-economique de la region de l'Alentejo au Portugal, cet article a pour objectif d'evaluer l'impact economique de la tarification de l'eau dans le perimetre d'irrigation publique d'Odivelas. Le cadre methodologique retenu utilise l''approche de la Programmation mathematique positive (PMP) et comme alternative, la Programmation mathematique econometrique (PME) basee sur l'estimation des conditions d'optimalite. Les parametres du modele ont ete estimes en s'appuyant sur l'approche de l'entropie et de l'information a priori. Les modeles ont ete elabores a l'echelle agregee du perimetre irrigue, compte tenu des principales cultures irriguees dans la region ainsi que des principales ressources, terre, travail, capital et eau. Les principaux resultats amenent a conclure que le modele PME est plus performant que le PMP et que dans une approche tarifaire en deux parties, le systeme de tarification de bloc est a preferer au systeme de tarification volumetrique. Mots-cles: estimation, entropie, PME, gestion de l'eau, politique de tarification.</abstract><cop>Bari</cop><pub>Edizioni Dedalo</pub><oa>free_for_read</oa></addata></record> |
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subjects | Capital Econometrics Economic development Economic impact Economic models Entropy Impact analysis Irrigation Irrigation water Management Mathematical models Mathematical programming Methods Parameter estimation Prices and rates Pricing Tariffs Water Water resources |
title | Alternative irrigation water pricing policies: an Econometric Mathematical Programming Model |
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