AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISK
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/649 |
Resumo: | Agroforestry System is the ecological and economical interaction of the use of the land, with the combination of agriculture, livestock and forest production, in temporary sequence and in a simultaneous way. The studies of investments in projects assume the existence of risks and uncertainties. An alternative to reduce the risk in the forest investment is the association with the agricultural. This work analyzed the situations of risk of a system agroflorestal. Monte Carlo s method comes from the theory of simulations and stands out as a powerful and useful tool to provide a distribution of probabilities for the analysis of decision. A total of 10,000 interactions of the Net Present Value (VPL), of Internal Rate of Return (TIR) and of the Equivalent Periodic Benefit (BPE) were made in order to establish the probability distribution. The results presented 78.65% of chance of VPL being US$ 1,410.00; 77.56% of chance of TIR being 36.36%, and; 75.39% of chance of BPE being US$ 309.70; the agroforestry system presented low investment risk; and the livestock is the main product of the agrossilvopastoril system, followed by charcoal. |
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AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISKForest economyagroforestry systemrisk and uncertaintysimulation of Monte CarloAgroforestry System is the ecological and economical interaction of the use of the land, with the combination of agriculture, livestock and forest production, in temporary sequence and in a simultaneous way. The studies of investments in projects assume the existence of risks and uncertainties. An alternative to reduce the risk in the forest investment is the association with the agricultural. This work analyzed the situations of risk of a system agroflorestal. Monte Carlo s method comes from the theory of simulations and stands out as a powerful and useful tool to provide a distribution of probabilities for the analysis of decision. A total of 10,000 interactions of the Net Present Value (VPL), of Internal Rate of Return (TIR) and of the Equivalent Periodic Benefit (BPE) were made in order to establish the probability distribution. The results presented 78.65% of chance of VPL being US$ 1,410.00; 77.56% of chance of TIR being 36.36%, and; 75.39% of chance of BPE being US$ 309.70; the agroforestry system presented low investment risk; and the livestock is the main product of the agrossilvopastoril system, followed by charcoal.CERNECERNE2015-10-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/649CERNE; Vol. 14 No. 4 (2008); 368-378CERNE; v. 14 n. 4 (2008); 368-3782317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/649/548Copyright (c) 2015 CERNEinfo:eu-repo/semantics/openAccessJunior, Luiz Moreira CoelhoRezende, José Luiz Pereira deOliveira, Antônio Donizette deCoimbra, Luís Antônio BorgesSouza, Álvaro Nogueira de2015-10-29T17:46:48Zoai:cerne.ufla.br:article/649Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:02.828978Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISK |
title |
AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISK |
spellingShingle |
AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISK Junior, Luiz Moreira Coelho Forest economy agroforestry system risk and uncertainty simulation of Monte Carlo |
title_short |
AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISK |
title_full |
AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISK |
title_fullStr |
AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISK |
title_full_unstemmed |
AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISK |
title_sort |
AGROFOREST SYSTEM INVESTMENT ANALYSIS UNDER RISK |
author |
Junior, Luiz Moreira Coelho |
author_facet |
Junior, Luiz Moreira Coelho Rezende, José Luiz Pereira de Oliveira, Antônio Donizette de Coimbra, Luís Antônio Borges Souza, Álvaro Nogueira de |
author_role |
author |
author2 |
Rezende, José Luiz Pereira de Oliveira, Antônio Donizette de Coimbra, Luís Antônio Borges Souza, Álvaro Nogueira de |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Junior, Luiz Moreira Coelho Rezende, José Luiz Pereira de Oliveira, Antônio Donizette de Coimbra, Luís Antônio Borges Souza, Álvaro Nogueira de |
dc.subject.por.fl_str_mv |
Forest economy agroforestry system risk and uncertainty simulation of Monte Carlo |
topic |
Forest economy agroforestry system risk and uncertainty simulation of Monte Carlo |
description |
Agroforestry System is the ecological and economical interaction of the use of the land, with the combination of agriculture, livestock and forest production, in temporary sequence and in a simultaneous way. The studies of investments in projects assume the existence of risks and uncertainties. An alternative to reduce the risk in the forest investment is the association with the agricultural. This work analyzed the situations of risk of a system agroflorestal. Monte Carlo s method comes from the theory of simulations and stands out as a powerful and useful tool to provide a distribution of probabilities for the analysis of decision. A total of 10,000 interactions of the Net Present Value (VPL), of Internal Rate of Return (TIR) and of the Equivalent Periodic Benefit (BPE) were made in order to establish the probability distribution. The results presented 78.65% of chance of VPL being US$ 1,410.00; 77.56% of chance of TIR being 36.36%, and; 75.39% of chance of BPE being US$ 309.70; the agroforestry system presented low investment risk; and the livestock is the main product of the agrossilvopastoril system, followed by charcoal. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10-28 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/649 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/649 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/649/548 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 CERNE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 14 No. 4 (2008); 368-378 CERNE; v. 14 n. 4 (2008); 368-378 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874941487677440 |