Simulation of impacts of irrigated agriculture on income, employment and environment

Abstract This paper uses a multicriteria mathematical programming model to estimate the farmer’s utility function and simulate different scenarios and policies as well as to make alternative production plans. Application of this model was carried out in the irrigated region of the Xanthi Prefecture...
Ausführliche Beschreibung

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Autor*in:	Manos, Basil [verfasserIn] Papathanasiou, J. Bournaris, T. Paparrizou, A. Arabatzis, G.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2008

Schlagwörter:	Simulation Multicriteria analysis Mathematical programming

Anmerkung:	© Springer-Verlag 2008

Übergeordnetes Werk:	Enthalten in: Operational research - Berlin : Springer, 2001, 9(2008), 3 vom: 27. Nov., Seite 251-266
Übergeordnetes Werk:	volume:9 ; year:2008 ; number:3 ; day:27 ; month:11 ; pages:251-266

Links:	Volltext

DOI / URN:	10.1007/s12351-008-0030-6

Katalog-ID:	SPR024994952

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700	1		\|a Arabatzis, G. \|4 aut
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allfields	10.1007/s12351-008-0030-6 doi (DE-627)SPR024994952 (SPR)s12351-008-0030-6-e DE-627 ger DE-627 rakwb eng Manos, Basil verfasserin aut Simulation of impacts of irrigated agriculture on income, employment and environment 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2008 Abstract This paper uses a multicriteria mathematical programming model to estimate the farmer’s utility function and simulate different scenarios and policies as well as to make alternative production plans. Application of this model was carried out in the irrigated region of the Xanthi Prefecture in Greece, as well as to three different farm clusters. The three farm clusters -small, medium and large sizes- were the result of a cluster analysis into a sample of farms of the region. In all these four cases, we considered three criteria for the estimation of the utility function; the maximization of total gross margin, the minimization of its variance and the minimization of labor. The estimated utility functions were used as objective functions of Linear or Quadratic (when the variance is considered) Programming models in order to find the optimum production plan of the total region and each farm size separately. These models were used to simulate the impacts on the production plan, income, employment and the environment due to a policy, which increases the price of irrigation water. Simulation (dpeaa)DE-He213 Multicriteria analysis (dpeaa)DE-He213 Mathematical programming (dpeaa)DE-He213 Papathanasiou, J. aut Bournaris, T. aut Paparrizou, A. aut Arabatzis, G. aut Enthalten in Operational research Berlin : Springer, 2001 9(2008), 3 vom: 27. Nov., Seite 251-266 (DE-627)566014270 (DE-600)2425760-6 1866-1505 nnns volume:9 year:2008 number:3 day:27 month:11 pages:251-266 https://dx.doi.org/10.1007/s12351-008-0030-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2008 3 27 11 251-266
spelling	10.1007/s12351-008-0030-6 doi (DE-627)SPR024994952 (SPR)s12351-008-0030-6-e DE-627 ger DE-627 rakwb eng Manos, Basil verfasserin aut Simulation of impacts of irrigated agriculture on income, employment and environment 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2008 Abstract This paper uses a multicriteria mathematical programming model to estimate the farmer’s utility function and simulate different scenarios and policies as well as to make alternative production plans. Application of this model was carried out in the irrigated region of the Xanthi Prefecture in Greece, as well as to three different farm clusters. The three farm clusters -small, medium and large sizes- were the result of a cluster analysis into a sample of farms of the region. In all these four cases, we considered three criteria for the estimation of the utility function; the maximization of total gross margin, the minimization of its variance and the minimization of labor. The estimated utility functions were used as objective functions of Linear or Quadratic (when the variance is considered) Programming models in order to find the optimum production plan of the total region and each farm size separately. These models were used to simulate the impacts on the production plan, income, employment and the environment due to a policy, which increases the price of irrigation water. Simulation (dpeaa)DE-He213 Multicriteria analysis (dpeaa)DE-He213 Mathematical programming (dpeaa)DE-He213 Papathanasiou, J. aut Bournaris, T. aut Paparrizou, A. aut Arabatzis, G. aut Enthalten in Operational research Berlin : Springer, 2001 9(2008), 3 vom: 27. Nov., Seite 251-266 (DE-627)566014270 (DE-600)2425760-6 1866-1505 nnns volume:9 year:2008 number:3 day:27 month:11 pages:251-266 https://dx.doi.org/10.1007/s12351-008-0030-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2008 3 27 11 251-266
allfields_unstemmed	10.1007/s12351-008-0030-6 doi (DE-627)SPR024994952 (SPR)s12351-008-0030-6-e DE-627 ger DE-627 rakwb eng Manos, Basil verfasserin aut Simulation of impacts of irrigated agriculture on income, employment and environment 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2008 Abstract This paper uses a multicriteria mathematical programming model to estimate the farmer’s utility function and simulate different scenarios and policies as well as to make alternative production plans. Application of this model was carried out in the irrigated region of the Xanthi Prefecture in Greece, as well as to three different farm clusters. The three farm clusters -small, medium and large sizes- were the result of a cluster analysis into a sample of farms of the region. In all these four cases, we considered three criteria for the estimation of the utility function; the maximization of total gross margin, the minimization of its variance and the minimization of labor. The estimated utility functions were used as objective functions of Linear or Quadratic (when the variance is considered) Programming models in order to find the optimum production plan of the total region and each farm size separately. These models were used to simulate the impacts on the production plan, income, employment and the environment due to a policy, which increases the price of irrigation water. Simulation (dpeaa)DE-He213 Multicriteria analysis (dpeaa)DE-He213 Mathematical programming (dpeaa)DE-He213 Papathanasiou, J. aut Bournaris, T. aut Paparrizou, A. aut Arabatzis, G. aut Enthalten in Operational research Berlin : Springer, 2001 9(2008), 3 vom: 27. Nov., Seite 251-266 (DE-627)566014270 (DE-600)2425760-6 1866-1505 nnns volume:9 year:2008 number:3 day:27 month:11 pages:251-266 https://dx.doi.org/10.1007/s12351-008-0030-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2008 3 27 11 251-266
allfieldsGer	10.1007/s12351-008-0030-6 doi (DE-627)SPR024994952 (SPR)s12351-008-0030-6-e DE-627 ger DE-627 rakwb eng Manos, Basil verfasserin aut Simulation of impacts of irrigated agriculture on income, employment and environment 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2008 Abstract This paper uses a multicriteria mathematical programming model to estimate the farmer’s utility function and simulate different scenarios and policies as well as to make alternative production plans. Application of this model was carried out in the irrigated region of the Xanthi Prefecture in Greece, as well as to three different farm clusters. The three farm clusters -small, medium and large sizes- were the result of a cluster analysis into a sample of farms of the region. In all these four cases, we considered three criteria for the estimation of the utility function; the maximization of total gross margin, the minimization of its variance and the minimization of labor. The estimated utility functions were used as objective functions of Linear or Quadratic (when the variance is considered) Programming models in order to find the optimum production plan of the total region and each farm size separately. These models were used to simulate the impacts on the production plan, income, employment and the environment due to a policy, which increases the price of irrigation water. Simulation (dpeaa)DE-He213 Multicriteria analysis (dpeaa)DE-He213 Mathematical programming (dpeaa)DE-He213 Papathanasiou, J. aut Bournaris, T. aut Paparrizou, A. aut Arabatzis, G. aut Enthalten in Operational research Berlin : Springer, 2001 9(2008), 3 vom: 27. Nov., Seite 251-266 (DE-627)566014270 (DE-600)2425760-6 1866-1505 nnns volume:9 year:2008 number:3 day:27 month:11 pages:251-266 https://dx.doi.org/10.1007/s12351-008-0030-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2008 3 27 11 251-266
allfieldsSound	10.1007/s12351-008-0030-6 doi (DE-627)SPR024994952 (SPR)s12351-008-0030-6-e DE-627 ger DE-627 rakwb eng Manos, Basil verfasserin aut Simulation of impacts of irrigated agriculture on income, employment and environment 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2008 Abstract This paper uses a multicriteria mathematical programming model to estimate the farmer’s utility function and simulate different scenarios and policies as well as to make alternative production plans. Application of this model was carried out in the irrigated region of the Xanthi Prefecture in Greece, as well as to three different farm clusters. The three farm clusters -small, medium and large sizes- were the result of a cluster analysis into a sample of farms of the region. In all these four cases, we considered three criteria for the estimation of the utility function; the maximization of total gross margin, the minimization of its variance and the minimization of labor. The estimated utility functions were used as objective functions of Linear or Quadratic (when the variance is considered) Programming models in order to find the optimum production plan of the total region and each farm size separately. These models were used to simulate the impacts on the production plan, income, employment and the environment due to a policy, which increases the price of irrigation water. Simulation (dpeaa)DE-He213 Multicriteria analysis (dpeaa)DE-He213 Mathematical programming (dpeaa)DE-He213 Papathanasiou, J. aut Bournaris, T. aut Paparrizou, A. aut Arabatzis, G. aut Enthalten in Operational research Berlin : Springer, 2001 9(2008), 3 vom: 27. Nov., Seite 251-266 (DE-627)566014270 (DE-600)2425760-6 1866-1505 nnns volume:9 year:2008 number:3 day:27 month:11 pages:251-266 https://dx.doi.org/10.1007/s12351-008-0030-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_26 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 9 2008 3 27 11 251-266
language	English
source	Enthalten in Operational research 9(2008), 3 vom: 27. Nov., Seite 251-266 volume:9 year:2008 number:3 day:27 month:11 pages:251-266
sourceStr	Enthalten in Operational research 9(2008), 3 vom: 27. Nov., Seite 251-266 volume:9 year:2008 number:3 day:27 month:11 pages:251-266
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Simulation Multicriteria analysis Mathematical programming
isfreeaccess_bool	false
container_title	Operational research
authorswithroles_txt_mv	Manos, Basil @@aut@@ Papathanasiou, J. @@aut@@ Bournaris, T. @@aut@@ Paparrizou, A. @@aut@@ Arabatzis, G. @@aut@@
publishDateDaySort_date	2008-11-27T00:00:00Z
hierarchy_top_id	566014270
id	SPR024994952
language_de	englisch
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author	Manos, Basil
spellingShingle	Manos, Basil misc Simulation misc Multicriteria analysis misc Mathematical programming Simulation of impacts of irrigated agriculture on income, employment and environment
authorStr	Manos, Basil
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topic_title	Simulation of impacts of irrigated agriculture on income, employment and environment Simulation (dpeaa)DE-He213 Multicriteria analysis (dpeaa)DE-He213 Mathematical programming (dpeaa)DE-He213
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title	Simulation of impacts of irrigated agriculture on income, employment and environment
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title_full	Simulation of impacts of irrigated agriculture on income, employment and environment
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author_browse	Manos, Basil Papathanasiou, J. Bournaris, T. Paparrizou, A. Arabatzis, G.
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doi_str_mv	10.1007/s12351-008-0030-6
title_sort	simulation of impacts of irrigated agriculture on income, employment and environment
title_auth	Simulation of impacts of irrigated agriculture on income, employment and environment
abstract	Abstract This paper uses a multicriteria mathematical programming model to estimate the farmer’s utility function and simulate different scenarios and policies as well as to make alternative production plans. Application of this model was carried out in the irrigated region of the Xanthi Prefecture in Greece, as well as to three different farm clusters. The three farm clusters -small, medium and large sizes- were the result of a cluster analysis into a sample of farms of the region. In all these four cases, we considered three criteria for the estimation of the utility function; the maximization of total gross margin, the minimization of its variance and the minimization of labor. The estimated utility functions were used as objective functions of Linear or Quadratic (when the variance is considered) Programming models in order to find the optimum production plan of the total region and each farm size separately. These models were used to simulate the impacts on the production plan, income, employment and the environment due to a policy, which increases the price of irrigation water. © Springer-Verlag 2008
abstractGer	Abstract This paper uses a multicriteria mathematical programming model to estimate the farmer’s utility function and simulate different scenarios and policies as well as to make alternative production plans. Application of this model was carried out in the irrigated region of the Xanthi Prefecture in Greece, as well as to three different farm clusters. The three farm clusters -small, medium and large sizes- were the result of a cluster analysis into a sample of farms of the region. In all these four cases, we considered three criteria for the estimation of the utility function; the maximization of total gross margin, the minimization of its variance and the minimization of labor. The estimated utility functions were used as objective functions of Linear or Quadratic (when the variance is considered) Programming models in order to find the optimum production plan of the total region and each farm size separately. These models were used to simulate the impacts on the production plan, income, employment and the environment due to a policy, which increases the price of irrigation water. © Springer-Verlag 2008
abstract_unstemmed	Abstract This paper uses a multicriteria mathematical programming model to estimate the farmer’s utility function and simulate different scenarios and policies as well as to make alternative production plans. Application of this model was carried out in the irrigated region of the Xanthi Prefecture in Greece, as well as to three different farm clusters. The three farm clusters -small, medium and large sizes- were the result of a cluster analysis into a sample of farms of the region. In all these four cases, we considered three criteria for the estimation of the utility function; the maximization of total gross margin, the minimization of its variance and the minimization of labor. The estimated utility functions were used as objective functions of Linear or Quadratic (when the variance is considered) Programming models in order to find the optimum production plan of the total region and each farm size separately. These models were used to simulate the impacts on the production plan, income, employment and the environment due to a policy, which increases the price of irrigation water. © Springer-Verlag 2008
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title_short	Simulation of impacts of irrigated agriculture on income, employment and environment
url	https://dx.doi.org/10.1007/s12351-008-0030-6
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author2	Papathanasiou, J. Bournaris, T. Paparrizou, A. Arabatzis, G.
author2Str	Papathanasiou, J. Bournaris, T. Paparrizou, A. Arabatzis, G.
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doi_str	10.1007/s12351-008-0030-6
up_date	2024-07-04T03:06:39.886Z
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