Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1080/14942119.2022.2029316 http://hdl.handle.net/11449/218519 |
Resumo: | Investments in mechanized wood harvesting operations are characterized by demanding capital and presenting uncertainties associated with productive and economic factors. The economic analysis based on the Monte Carlo method promotes accurate results by measuring the risks of these investments. Thus, we analyzed whether the mechanized wood harvesting operation consisting of self-propelled forest machines under conditions of uncertainty is economically viable, applying the Monte Carlo method for risk management. With the observance of wood harvesting in a forest planted with Eucalyptus, technical-economic coefficients were obtained for felling, extraction, and wood bundle processing operations. The time horizon was six years, with the application of the investment decision rules net present value, modified internal rate of return, and payback period discounted at the opportunity cost rate by the weighted average cost of capital. The results of the investment decision rules indicated the economic viability of the mechanized wood harvesting operation and, based on the stochastic simulation, it was possible to consider the investment as low risk for capital holders. Therefore, the mechanized wood harvesting operation consisting of self-propelled forest machines, under conditions of uncertainty, is economically viable. |
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Repositório Institucional da UNESP |
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Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern BrazilProduction costsEucalyptusplanted forestsMonte Carlo methodforest operationsnet present valueInvestments in mechanized wood harvesting operations are characterized by demanding capital and presenting uncertainties associated with productive and economic factors. The economic analysis based on the Monte Carlo method promotes accurate results by measuring the risks of these investments. Thus, we analyzed whether the mechanized wood harvesting operation consisting of self-propelled forest machines under conditions of uncertainty is economically viable, applying the Monte Carlo method for risk management. With the observance of wood harvesting in a forest planted with Eucalyptus, technical-economic coefficients were obtained for felling, extraction, and wood bundle processing operations. The time horizon was six years, with the application of the investment decision rules net present value, modified internal rate of return, and payback period discounted at the opportunity cost rate by the weighted average cost of capital. The results of the investment decision rules indicated the economic viability of the mechanized wood harvesting operation and, based on the stochastic simulation, it was possible to consider the investment as low risk for capital holders. Therefore, the mechanized wood harvesting operation consisting of self-propelled forest machines, under conditions of uncertainty, is economically viable.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ, Sch Agr, UNESP, Botucatu, SP, BrazilSao Paulo State Univ, Sch Agr, UNESP, Botucatu, SP, BrazilTaylor & Francis IncUniversidade Estadual Paulista (UNESP)Rocha, Q. S. [UNESP]Lima, R. C. A. [UNESP]Munis, R. A. [UNESP]Pereira, G. [UNESP]Simoes, D. [UNESP]2022-04-28T17:21:27Z2022-04-28T17:21:27Z2022-02-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8http://dx.doi.org/10.1080/14942119.2022.2029316International Journal Of Forest Engineering. Philadelphia: Taylor & Francis Inc, 8 p., 2022.1494-2119http://hdl.handle.net/11449/21851910.1080/14942119.2022.2029316WOS:000750271000001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal Of Forest Engineeringinfo:eu-repo/semantics/openAccess2022-04-28T17:21:27Zoai:repositorio.unesp.br:11449/218519Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T17:21:27Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil |
title |
Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil |
spellingShingle |
Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil Rocha, Q. S. [UNESP] Production costs Eucalyptus planted forests Monte Carlo method forest operations net present value |
title_short |
Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil |
title_full |
Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil |
title_fullStr |
Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil |
title_full_unstemmed |
Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil |
title_sort |
Economic viability of the whole tree harvest under conditions of uncertainty: a study in southeastern Brazil |
author |
Rocha, Q. S. [UNESP] |
author_facet |
Rocha, Q. S. [UNESP] Lima, R. C. A. [UNESP] Munis, R. A. [UNESP] Pereira, G. [UNESP] Simoes, D. [UNESP] |
author_role |
author |
author2 |
Lima, R. C. A. [UNESP] Munis, R. A. [UNESP] Pereira, G. [UNESP] Simoes, D. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Rocha, Q. S. [UNESP] Lima, R. C. A. [UNESP] Munis, R. A. [UNESP] Pereira, G. [UNESP] Simoes, D. [UNESP] |
dc.subject.por.fl_str_mv |
Production costs Eucalyptus planted forests Monte Carlo method forest operations net present value |
topic |
Production costs Eucalyptus planted forests Monte Carlo method forest operations net present value |
description |
Investments in mechanized wood harvesting operations are characterized by demanding capital and presenting uncertainties associated with productive and economic factors. The economic analysis based on the Monte Carlo method promotes accurate results by measuring the risks of these investments. Thus, we analyzed whether the mechanized wood harvesting operation consisting of self-propelled forest machines under conditions of uncertainty is economically viable, applying the Monte Carlo method for risk management. With the observance of wood harvesting in a forest planted with Eucalyptus, technical-economic coefficients were obtained for felling, extraction, and wood bundle processing operations. The time horizon was six years, with the application of the investment decision rules net present value, modified internal rate of return, and payback period discounted at the opportunity cost rate by the weighted average cost of capital. The results of the investment decision rules indicated the economic viability of the mechanized wood harvesting operation and, based on the stochastic simulation, it was possible to consider the investment as low risk for capital holders. Therefore, the mechanized wood harvesting operation consisting of self-propelled forest machines, under conditions of uncertainty, is economically viable. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-28T17:21:27Z 2022-04-28T17:21:27Z 2022-02-03 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1080/14942119.2022.2029316 International Journal Of Forest Engineering. Philadelphia: Taylor & Francis Inc, 8 p., 2022. 1494-2119 http://hdl.handle.net/11449/218519 10.1080/14942119.2022.2029316 WOS:000750271000001 |
url |
http://dx.doi.org/10.1080/14942119.2022.2029316 http://hdl.handle.net/11449/218519 |
identifier_str_mv |
International Journal Of Forest Engineering. Philadelphia: Taylor & Francis Inc, 8 p., 2022. 1494-2119 10.1080/14942119.2022.2029316 WOS:000750271000001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal Of Forest Engineering |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 |
dc.publisher.none.fl_str_mv |
Taylor & Francis Inc |
publisher.none.fl_str_mv |
Taylor & Francis Inc |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965749173813248 |