CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTURE
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa operacional (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000100093 |
Resumo: | ABSTRACT In this article we assess the effect of market imperfections and income inequality on rural production efficiency. The analysis is carried out using the notion of stochastic conditional efficiency computed in terms of free disposal hull (FDH) efficiency measurements. Free disposal hull and conditional FDH are output oriented with variable returns to scale. They are evaluated for rural production at the county level, considering the rank of rural gross income as the output and the ranks of land expenses, labor expenses, and expenses on other technological factors as inputs. The conditional frontier is dependent on income inequality and other indicators related to market imperfections. The econometric approach is based on fractional regression models and the generalized method of moments (GMM). Overall, the market imperfection variables act to reduce performance, and income dispersion is positively associated with technical efficiency. |
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CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTUREconditional FDHGMMfractional regressionrural income inequalityABSTRACT In this article we assess the effect of market imperfections and income inequality on rural production efficiency. The analysis is carried out using the notion of stochastic conditional efficiency computed in terms of free disposal hull (FDH) efficiency measurements. Free disposal hull and conditional FDH are output oriented with variable returns to scale. They are evaluated for rural production at the county level, considering the rank of rural gross income as the output and the ranks of land expenses, labor expenses, and expenses on other technological factors as inputs. The conditional frontier is dependent on income inequality and other indicators related to market imperfections. The econometric approach is based on fractional regression models and the generalized method of moments (GMM). Overall, the market imperfection variables act to reduce performance, and income dispersion is positively associated with technical efficiency.Sociedade Brasileira de Pesquisa Operacional2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000100093Pesquisa Operacional v.37 n.1 2017reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2017.037.01.0093info:eu-repo/semantics/openAccessSouza,Geraldo da Silva eGomes,Eliane GonçalvesAlves,Eliseu Roberto de Andradeeng2017-06-05T00:00:00Zoai:scielo:S0101-74382017000100093Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2017-06-05T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false |
dc.title.none.fl_str_mv |
CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTURE |
title |
CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTURE |
spellingShingle |
CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTURE Souza,Geraldo da Silva e conditional FDH GMM fractional regression rural income inequality |
title_short |
CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTURE |
title_full |
CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTURE |
title_fullStr |
CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTURE |
title_full_unstemmed |
CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTURE |
title_sort |
CONDITIONAL FDH EFFICIENCY TO ASSESS PERFORMANCE FACTORS FOR BRAZILIAN AGRICULTURE |
author |
Souza,Geraldo da Silva e |
author_facet |
Souza,Geraldo da Silva e Gomes,Eliane Gonçalves Alves,Eliseu Roberto de Andrade |
author_role |
author |
author2 |
Gomes,Eliane Gonçalves Alves,Eliseu Roberto de Andrade |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Souza,Geraldo da Silva e Gomes,Eliane Gonçalves Alves,Eliseu Roberto de Andrade |
dc.subject.por.fl_str_mv |
conditional FDH GMM fractional regression rural income inequality |
topic |
conditional FDH GMM fractional regression rural income inequality |
description |
ABSTRACT In this article we assess the effect of market imperfections and income inequality on rural production efficiency. The analysis is carried out using the notion of stochastic conditional efficiency computed in terms of free disposal hull (FDH) efficiency measurements. Free disposal hull and conditional FDH are output oriented with variable returns to scale. They are evaluated for rural production at the county level, considering the rank of rural gross income as the output and the ranks of land expenses, labor expenses, and expenses on other technological factors as inputs. The conditional frontier is dependent on income inequality and other indicators related to market imperfections. The econometric approach is based on fractional regression models and the generalized method of moments (GMM). Overall, the market imperfection variables act to reduce performance, and income dispersion is positively associated with technical efficiency. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000100093 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000100093 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0101-7438.2017.037.01.0093 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Pesquisa Operacional |
publisher.none.fl_str_mv |
Sociedade Brasileira de Pesquisa Operacional |
dc.source.none.fl_str_mv |
Pesquisa Operacional v.37 n.1 2017 reponame:Pesquisa operacional (Online) instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) instacron:SOBRAPO |
instname_str |
Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) |
instacron_str |
SOBRAPO |
institution |
SOBRAPO |
reponame_str |
Pesquisa operacional (Online) |
collection |
Pesquisa operacional (Online) |
repository.name.fl_str_mv |
Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) |
repository.mail.fl_str_mv |
||sobrapo@sobrapo.org.br |
_version_ |
1750318018143977472 |