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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
23/08/2016 |
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Data da última atualização: |
26/05/2017 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
TORRES, M. de O.; HOWITT, R.; RODRIGUES, L. N. |
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Afiliação: |
LINEU NEIVA RODRIGUES, CPAC. |
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Título: |
Modeling the economic benefits and distributional impacts of supplemental irrigation. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Water Resources and Economics, v. 14, April 2016. |
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DOI: |
http://dx.doi.org.ez103.periodicos.capes.gov.br/10.1016/j.wre.2016.03.001 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Standard hydroeconomic policy models are usually applied to areas in the world where precipitation is very low and crops are fully irrigated. As such, these models pool the annual stored precipitation plus other water supplies and assume that this total water supply can be allocated by time and place. This water pooling approach treats precipitation and irrigation water as fully substitutable. In many irrigated areas, however, a significant amount of water used by crops comes from precipitation. In fact the majority of the global irrigation systems are supplemental to rainfall and, in this context, precipitation and water stored in reservoirs are not fully substitutable. By using primary data from a watershed in Brazil, where precipitation and supplemental water use occur, this paper shows that standard models under-estimate the predicted drought impacts. The paper investigates this issue by setting up two model specifications of regional net-revenue maximization based on a calibrated economic programming model integrated with a mass balance hydrologic model. In one model the substitution between precipitation and irrigation water is explicitly formalized and in the other precipitation and irrigation water are aggregated together in a single water supply. The models are used to estimate and predict the short-run impacts of precipitation cuts on irrigation reservoir levels and the impacts of lower irrigation water supply on farmers' agricultural income. In comparing the results, we find that the standard aggregated hydroeconomic model under-estimates losses in expected returns to farmers and also results in less variability of returns under stochastic rainfall. MenosAbstract: Standard hydroeconomic policy models are usually applied to areas in the world where precipitation is very low and crops are fully irrigated. As such, these models pool the annual stored precipitation plus other water supplies and assume that this total water supply can be allocated by time and place. This water pooling approach treats precipitation and irrigation water as fully substitutable. In many irrigated areas, however, a significant amount of water used by crops comes from precipitation. In fact the majority of the global irrigation systems are supplemental to rainfall and, in this context, precipitation and water stored in reservoirs are not fully substitutable. By using primary data from a watershed in Brazil, where precipitation and supplemental water use occur, this paper shows that standard models under-estimate the predicted drought impacts. The paper investigates this issue by setting up two model specifications of regional net-revenue maximization based on a calibrated economic programming model integrated with a mass balance hydrologic model. In one model the substitution between precipitation and irrigation water is explicitly formalized and in the other precipitation and irrigation water are aggregated together in a single water supply. The models are used to estimate and predict the short-run impacts of precipitation cuts on irrigation reservoir levels and the impacts of lower irrigation water supply on farmers' agricultural income. In comparing... Mostrar Tudo |
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Palavras-Chave: |
Applied microeconomics; Hydroeconomic model; Mathematical programming. |
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Thesagro: |
Irrigação; Recurso hídrico. |
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Thesaurus Nal: |
agricultural income; water resources. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02459naa a2200241 a 4500
001 2051487
005 2017-05-26
008 2016 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org.ez103.periodicos.capes.gov.br/10.1016/j.wre.2016.03.001$2DOI
100 1 $aTORRES, M. de O.
245 $aModeling the economic benefits and distributional impacts of supplemental irrigation.
260 $c2016
520 $aAbstract: Standard hydroeconomic policy models are usually applied to areas in the world where precipitation is very low and crops are fully irrigated. As such, these models pool the annual stored precipitation plus other water supplies and assume that this total water supply can be allocated by time and place. This water pooling approach treats precipitation and irrigation water as fully substitutable. In many irrigated areas, however, a significant amount of water used by crops comes from precipitation. In fact the majority of the global irrigation systems are supplemental to rainfall and, in this context, precipitation and water stored in reservoirs are not fully substitutable. By using primary data from a watershed in Brazil, where precipitation and supplemental water use occur, this paper shows that standard models under-estimate the predicted drought impacts. The paper investigates this issue by setting up two model specifications of regional net-revenue maximization based on a calibrated economic programming model integrated with a mass balance hydrologic model. In one model the substitution between precipitation and irrigation water is explicitly formalized and in the other precipitation and irrigation water are aggregated together in a single water supply. The models are used to estimate and predict the short-run impacts of precipitation cuts on irrigation reservoir levels and the impacts of lower irrigation water supply on farmers' agricultural income. In comparing the results, we find that the standard aggregated hydroeconomic model under-estimates losses in expected returns to farmers and also results in less variability of returns under stochastic rainfall.
650 $aagricultural income
650 $awater resources
650 $aIrrigação
650 $aRecurso hídrico
653 $aApplied microeconomics
653 $aHydroeconomic model
653 $aMathematical programming
700 1 $aHOWITT, R.
700 1 $aRODRIGUES, L. N.
773 $tWater Resources and Economics$gv. 14, April 2016.
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Registro original: |
Embrapa Cerrados (CPAC) |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
09/01/2019 |
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Data da última atualização: |
09/01/2019 |
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Tipo da produção científica: |
Boletim de Pesquisa e Desenvolvimento |
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Autoria: |
REIS, R. C.; VIANA, E. de S.; SANTOS, T. M. de S.; JESUS, J. L. de; SILVA, S. C. S. da; MAMEDE, M. E. de O. |
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Afiliação: |
RONIELLI CARDOSO REIS, CNPMF; ELISETH DE SOUZA VIANA, CNPMF; TÂMARA MARIA DE SOUZA SANTOS; JACIENE LOPES DE JESUS, CNPMF; SIOMARA COSTA SANTANA DA SILVA; MARIA EUGÊNIA DE O. MAMEDE. |
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Título: |
Aceitação sensorial e estabilidade do mamão desidratado enriquecido com frutooligossacarídeo. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2018. |
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Páginas: |
21p. |
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Descrição Física: |
il. |
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Série: |
(Embrapa Mandioca e Fruticultura. Boletim de Pesquisa e Desenvolvimento, 97) |
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Idioma: |
Português |
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Thesagro: |
Mamão. |
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Thesaurus NAL: |
Papayas. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190129/1/BOLETIM-97-Ronielli-AINFO.pdf
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Marc: |
LEADER 00698nam a2200205 a 4500
001 2103480
005 2019-01-09
008 2018 bl uuuu u0uu1 u #d
100 1 $aREIS, R. C.
245 $aAceitação sensorial e estabilidade do mamão desidratado enriquecido com frutooligossacarídeo.$h[electronic resource]
260 $aCruz das Almas, BA: Embrapa Mandioca e Fruticultura$c2018
300 $a21p.$cil.
490 $a(Embrapa Mandioca e Fruticultura. Boletim de Pesquisa e Desenvolvimento, 97)
650 $aPapayas
650 $aMamão
700 1 $aVIANA, E. de S.
700 1 $aSANTOS, T. M. de S.
700 1 $aJESUS, J. L. de
700 1 $aSILVA, S. C. S. da
700 1 $aMAMEDE, M. E. de O.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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