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| 10. |  | BOLL, M. G.; LEUNG, P. Economic feasibility of microalgae production for biodiesel development in NE Brazil. In: CTAHR STUDENT RESEARCH SYMPOSIUM, 21., 2009, Honolulu, Hawaii, US. [Proceedings...]. UH Manoa, Hawaii, US: College of Tropical Agriculture and Human Resources - CTAHR, University of Hawaii at Manoa, 2009.| Biblioteca(s): Epagri-Sede. |
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| Registros recuperados : 114 | |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
11/06/2021 |
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Data da última atualização: |
11/06/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
BOLL, M. G.; LEUNG, P. |
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Título: |
Biofuels food security and regional development a multiple objective model for cropland allocation outlined to assess microalgaes potential contribution to the Northeast Region of Brazil. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: ECOLOGICAL ECONOMICS AND RIO+20: CHALLENGES AND CONTRIBUTION FOR A GREEN ECONOMY, 2., 2012, Rio de Janeiro. Anais... Rio de Janeiro: ISEE, 2012. p. 1-52. |
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Idioma: |
Inglês |
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Conteúdo: |
This paper presents a cropland allocation model intended to help decision makers to forge ex-ante balanced assessment of the impacts on regional development associated with the introduction of biofuels promotion policies. Considering a ten year time frame the model is applied to project the impacts of four biodiesel introduction scenarios in the Northeast Region of Brazil (NER). These include two B5 scenarios associated with the exclusive use of traditional oil crops and one B5 and one B10 scenario related to the introduction of microalgae-based biodiesel mixed with traditional oil crops. Four conflicting objectives, namely the maximization of the region?s staple food autonomy; fuel autonomy; agricultural and fuel feedstock trade balance; and the number of job positions at the farm level drive the model. The multiple objective linear programming technique (MOLP) is used to pursue the minimal deviation from an ideal solution to the four objectives. Compromise programming (CP) is the tool adopted to find this point. Optimized CP scenarios increased annual cropland allocation to 14.58 million ha in the NER, year 2017, raising this amount by 32% and 16%, as compared to 11.04 and 12.81 million ha in current (2007) and baseline (2017) scenarios, respectively. As compared to the baseline scenario, cropland increases and the shift of commodities export dedicated cropland to the biofuel production sector in CP scenarios significantly increased the NER fuel autonomy (95%) and reduced the R$ 5,126 million reais deficit baseline agriculture and fuel feedstock trade balance by 79%. In the model, microalgae-based biodiesel economic contribution to the NER was negatively impacted by its high opportunity cost. When compared to traditional oil crops scenarios, microalgae-based biodiesel introduction scenarios could not significantly improve regional staple food autonomy, increasing this objective by 1% only. The NER fuel autonomy is positively impacted in the microalgae scenarios, but the increment as compared to the traditional oil crops scenarios is rather small, namely 2% and 7% in the B5 and B10 levels, respectively. These results indicate that the potential advantages expected for the microalgae-based biodiesel introduction did not materialize for the NER. It is concluded that the adoption of microalgae-based biodiesel is not an interesting biofuel alternative for the NER of Brazil under the current+10 years time frame adopted in this study. Contrary to the concerns usually referred to biofuel development, our model indicates that in the NER case, it is the commodity export, rather than the staple food agriculture feedstock production sector, that is mostly affected by the biofuel cropland allocation demand. MenosThis paper presents a cropland allocation model intended to help decision makers to forge ex-ante balanced assessment of the impacts on regional development associated with the introduction of biofuels promotion policies. Considering a ten year time frame the model is applied to project the impacts of four biodiesel introduction scenarios in the Northeast Region of Brazil (NER). These include two B5 scenarios associated with the exclusive use of traditional oil crops and one B5 and one B10 scenario related to the introduction of microalgae-based biodiesel mixed with traditional oil crops. Four conflicting objectives, namely the maximization of the region?s staple food autonomy; fuel autonomy; agricultural and fuel feedstock trade balance; and the number of job positions at the farm level drive the model. The multiple objective linear programming technique (MOLP) is used to pursue the minimal deviation from an ideal solution to the four objectives. Compromise programming (CP) is the tool adopted to find this point. Optimized CP scenarios increased annual cropland allocation to 14.58 million ha in the NER, year 2017, raising this amount by 32% and 16%, as compared to 11.04 and 12.81 million ha in current (2007) and baseline (2017) scenarios, respectively. As compared to the baseline scenario, cropland increases and the shift of commodities export dedicated cropland to the biofuel production sector in CP scenarios significantly increased the NER fuel autonomy (95%) and reduced ... Mostrar Tudo |
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Palavras-Chave: |
Biocombustíveis; economia regional; Nordeste Brasileiro; planejamento regional. |
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Categoria do assunto: |
E Economia e Indústria Agrícola |
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Marc: |
LEADER 03501naa a2200181 a 4500
001 1130911
005 2021-06-11
008 2012 bl uuuu u00u1 u #d
100 1 $aBOLL, M. G.
245 $aBiofuels food security and regional development a multiple objective model for cropland allocation outlined to assess microalgaes potential contribution to the Northeast Region of Brazil.$h[electronic resource]
260 $c2012
520 $aThis paper presents a cropland allocation model intended to help decision makers to forge ex-ante balanced assessment of the impacts on regional development associated with the introduction of biofuels promotion policies. Considering a ten year time frame the model is applied to project the impacts of four biodiesel introduction scenarios in the Northeast Region of Brazil (NER). These include two B5 scenarios associated with the exclusive use of traditional oil crops and one B5 and one B10 scenario related to the introduction of microalgae-based biodiesel mixed with traditional oil crops. Four conflicting objectives, namely the maximization of the region?s staple food autonomy; fuel autonomy; agricultural and fuel feedstock trade balance; and the number of job positions at the farm level drive the model. The multiple objective linear programming technique (MOLP) is used to pursue the minimal deviation from an ideal solution to the four objectives. Compromise programming (CP) is the tool adopted to find this point. Optimized CP scenarios increased annual cropland allocation to 14.58 million ha in the NER, year 2017, raising this amount by 32% and 16%, as compared to 11.04 and 12.81 million ha in current (2007) and baseline (2017) scenarios, respectively. As compared to the baseline scenario, cropland increases and the shift of commodities export dedicated cropland to the biofuel production sector in CP scenarios significantly increased the NER fuel autonomy (95%) and reduced the R$ 5,126 million reais deficit baseline agriculture and fuel feedstock trade balance by 79%. In the model, microalgae-based biodiesel economic contribution to the NER was negatively impacted by its high opportunity cost. When compared to traditional oil crops scenarios, microalgae-based biodiesel introduction scenarios could not significantly improve regional staple food autonomy, increasing this objective by 1% only. The NER fuel autonomy is positively impacted in the microalgae scenarios, but the increment as compared to the traditional oil crops scenarios is rather small, namely 2% and 7% in the B5 and B10 levels, respectively. These results indicate that the potential advantages expected for the microalgae-based biodiesel introduction did not materialize for the NER. It is concluded that the adoption of microalgae-based biodiesel is not an interesting biofuel alternative for the NER of Brazil under the current+10 years time frame adopted in this study. Contrary to the concerns usually referred to biofuel development, our model indicates that in the NER case, it is the commodity export, rather than the staple food agriculture feedstock production sector, that is mostly affected by the biofuel cropland allocation demand.
653 $aBiocombustíveis
653 $aeconomia regional
653 $aNordeste Brasileiro
653 $aplanejamento regional
700 1 $aLEUNG, P.
773 $tIn: ECOLOGICAL ECONOMICS AND RIO+20: CHALLENGES AND CONTRIBUTION FOR A GREEN ECONOMY, 2., 2012, Rio de Janeiro. Anais... Rio de Janeiro: ISEE, 2012. p. 1-52.
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