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Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming
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| Zeitschriftentitel: | Journal of Agricultural and Applied Economics |
|---|---|
| Personen und Körperschaften: | , , , , , , |
| In: | Journal of Agricultural and Applied Economics, 27, 1995, 2, S. 423-436 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Cambridge University Press (CUP)
|
| Schlagwörter: |
| author_facet |
Lambert, D.K. McCarl, B.A. He, Q. Kaylen, M.S. Rosenthal, W. Chang, C.C. Nayda, W.I. Lambert, D.K. McCarl, B.A. He, Q. Kaylen, M.S. Rosenthal, W. Chang, C.C. Nayda, W.I. |
|---|---|
| author |
Lambert, D.K. McCarl, B.A. He, Q. Kaylen, M.S. Rosenthal, W. Chang, C.C. Nayda, W.I. |
| spellingShingle |
Lambert, D.K. McCarl, B.A. He, Q. Kaylen, M.S. Rosenthal, W. Chang, C.C. Nayda, W.I. Journal of Agricultural and Applied Economics Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming Economics and Econometrics Agricultural and Biological Sciences (miscellaneous) |
| author_sort |
lambert, d.k. |
| spelling |
Lambert, D.K. McCarl, B.A. He, Q. Kaylen, M.S. Rosenthal, W. Chang, C.C. Nayda, W.I. 1074-0708 2056-7405 Cambridge University Press (CUP) Economics and Econometrics Agricultural and Biological Sciences (miscellaneous) http://dx.doi.org/10.1017/s1074070800028479 <jats:title>Abstract</jats:title><jats:p>Agriculture operates in an uncertain environment. Yields, prices, and resource usage can change dramatically from year to year. However, most analyses of the agricultural sector, at least those using mathematical programming methods, assume decision making is based on average yields, ignoring yield variability. This study examines how explicit consideration of stochastic yield outcomes influence a sector analysis. We develop a model that can be used for stochastic sector analysis. We extend the risk framework developed by Hazell and others to incorporate discrete yield outcomes as well as consumption activities dependent upon yield outcomes. An empirical application addresses a comparison between sector analysis with and without considerations of the economic effects of yield variability in a global warming context.</jats:p> Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming Journal of Agricultural and Applied Economics |
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| title |
Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
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Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
| title_full |
Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
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Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
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Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
| title_short |
Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
| title_sort |
uncertain yields in sectoral welfare analysis: an application to global warming |
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Economics and Econometrics Agricultural and Biological Sciences (miscellaneous) |
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http://dx.doi.org/10.1017/s1074070800028479 |
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1995 |
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423-436 |
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<jats:title>Abstract</jats:title><jats:p>Agriculture operates in an uncertain environment. Yields, prices, and resource usage can change dramatically from year to year. However, most analyses of the agricultural sector, at least those using mathematical programming methods, assume decision making is based on average yields, ignoring yield variability. This study examines how explicit consideration of stochastic yield outcomes influence a sector analysis. We develop a model that can be used for stochastic sector analysis. We extend the risk framework developed by Hazell and others to incorporate discrete yield outcomes as well as consumption activities dependent upon yield outcomes. An empirical application addresses a comparison between sector analysis with and without considerations of the economic effects of yield variability in a global warming context.</jats:p> |
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| author | Lambert, D.K., McCarl, B.A., He, Q., Kaylen, M.S., Rosenthal, W., Chang, C.C., Nayda, W.I. |
| author_facet | Lambert, D.K., McCarl, B.A., He, Q., Kaylen, M.S., Rosenthal, W., Chang, C.C., Nayda, W.I., Lambert, D.K., McCarl, B.A., He, Q., Kaylen, M.S., Rosenthal, W., Chang, C.C., Nayda, W.I. |
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| description | <jats:title>Abstract</jats:title><jats:p>Agriculture operates in an uncertain environment. Yields, prices, and resource usage can change dramatically from year to year. However, most analyses of the agricultural sector, at least those using mathematical programming methods, assume decision making is based on average yields, ignoring yield variability. This study examines how explicit consideration of stochastic yield outcomes influence a sector analysis. We develop a model that can be used for stochastic sector analysis. We extend the risk framework developed by Hazell and others to incorporate discrete yield outcomes as well as consumption activities dependent upon yield outcomes. An empirical application addresses a comparison between sector analysis with and without considerations of the economic effects of yield variability in a global warming context.</jats:p> |
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| imprint_str_mv | Cambridge University Press (CUP), 1995 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
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| physical | 423-436 |
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| spelling | Lambert, D.K. McCarl, B.A. He, Q. Kaylen, M.S. Rosenthal, W. Chang, C.C. Nayda, W.I. 1074-0708 2056-7405 Cambridge University Press (CUP) Economics and Econometrics Agricultural and Biological Sciences (miscellaneous) http://dx.doi.org/10.1017/s1074070800028479 <jats:title>Abstract</jats:title><jats:p>Agriculture operates in an uncertain environment. Yields, prices, and resource usage can change dramatically from year to year. However, most analyses of the agricultural sector, at least those using mathematical programming methods, assume decision making is based on average yields, ignoring yield variability. This study examines how explicit consideration of stochastic yield outcomes influence a sector analysis. We develop a model that can be used for stochastic sector analysis. We extend the risk framework developed by Hazell and others to incorporate discrete yield outcomes as well as consumption activities dependent upon yield outcomes. An empirical application addresses a comparison between sector analysis with and without considerations of the economic effects of yield variability in a global warming context.</jats:p> Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming Journal of Agricultural and Applied Economics |
| spellingShingle | Lambert, D.K., McCarl, B.A., He, Q., Kaylen, M.S., Rosenthal, W., Chang, C.C., Nayda, W.I., Journal of Agricultural and Applied Economics, Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming, Economics and Econometrics, Agricultural and Biological Sciences (miscellaneous) |
| title | Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
| title_full | Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
| title_fullStr | Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
| title_full_unstemmed | Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
| title_short | Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
| title_sort | uncertain yields in sectoral welfare analysis: an application to global warming |
| title_unstemmed | Uncertain Yields in Sectoral Welfare Analysis: An Application to Global Warming |
| topic | Economics and Econometrics, Agricultural and Biological Sciences (miscellaneous) |
| url | http://dx.doi.org/10.1017/s1074070800028479 |