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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
29/04/1999 |
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Data da última atualização: |
29/04/1999 |
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Autoria: |
ROSEGRANT, M. W.; ROUMASSET, J. A. |
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Afiliação: |
International Food Policy Research Institute, Washington. |
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Título: |
The effect of fertiliser on risk: a heteroscedastic production function with measurable stochastic inputs. |
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Ano de publicação: |
1985 |
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Fonte/Imprenta: |
Australian Journal of Agricultural Economics, v.29, n.2, p.107-121, 1985. |
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Idioma: |
Inglês |
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Conteúdo: |
The sources of production risk are many and diverse in nature. Estimating risk as a black box, without explicit recognition of its sources, can lead to inferior estimates of optimal inputs under risk aversion. In this paper, a method is presented for estimating production functions with measurable stochastic inputs and for generating the parameters of the probability distributions of yield for vairous environments and input levels. Based on this method, it appears that moderate risk aversionn can account for a 6.7 per cet to 16.7 per cent reduction in nitrogen use (relative to the risk-neutral solution) for selected rice producing areas of the Philippines. Estimating optimal inputs without environment-specific information about the sources of risk leads to large errors. this underscores the value of collecting information about the sources of risk and of exercising caution when such information is not available. |
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Palavras-Chave: |
Economy; Fertiliser; Production. |
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Thesagro: |
Agricultura; Economia; Fertilizante; Produção. |
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Thesaurus Nal: |
agriculture. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01579naa a2200229 a 4500
001 1795491
005 1999-04-29
008 1985 bl --- 0-- u #d
100 1 $aROSEGRANT, M. W.
245 $aThe effect of fertiliser on risk$ba heteroscedastic production function with measurable stochastic inputs.
260 $c1985
520 $aThe sources of production risk are many and diverse in nature. Estimating risk as a black box, without explicit recognition of its sources, can lead to inferior estimates of optimal inputs under risk aversion. In this paper, a method is presented for estimating production functions with measurable stochastic inputs and for generating the parameters of the probability distributions of yield for vairous environments and input levels. Based on this method, it appears that moderate risk aversionn can account for a 6.7 per cet to 16.7 per cent reduction in nitrogen use (relative to the risk-neutral solution) for selected rice producing areas of the Philippines. Estimating optimal inputs without environment-specific information about the sources of risk leads to large errors. this underscores the value of collecting information about the sources of risk and of exercising caution when such information is not available.
650 $aagriculture
650 $aAgricultura
650 $aEconomia
650 $aFertilizante
650 $aProdução
653 $aEconomy
653 $aFertiliser
653 $aProduction
700 1 $aROUMASSET, J. A.
773 $tAustralian Journal of Agricultural Economics$gv.29, n.2, p.107-121, 1985.
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Registro original: |
Embrapa Pantanal (CPAP) |
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