Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income

Detalhes bibliográficos
Autor(a) principal: Ferraz,Diogo
Data de Publicação: 2021
Outros Autores: Oliveira,Fabíola Cristina Ribeiro de, Rebelatto,Daisy Aparecida do Nascimento, Pyka,Andreas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Gestão & Produção
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2021000400213
Resumo: Abstract: Several studies argue that agricultural mechanization has reduced employment and wages. However, there is a lack of studies analyzing employment and income over time, especially comparing the agricultural activities. Our major argument is the structural change in the employment - from un-skilled to skilled workers which has to be understood because of the overall decrease in the number of jobs. This study aims to analyze the labor market evolution in sugarcane farming and other agricultural activities, from 1992 to 2015. Using the National Household Sample Survey (PNAD/IBGE), we compared sugarcane and other Brazilian crops using econometrics techniques. We analyzed the Heckman's procedure and models with fixed effects panel data, controlling the unobservable characteristics of workers. Methodologically, our equations show convergence, since the Heckman procedure and pooled regression present similar estimates. We showed that fixed-effect regression captures the same trends of Ordinary Least Square (OLS) technique, using the Heckman method. Our main findings suggest that the wage of sugarcane workers is higher than wages in other crops, even after we control the observable and regional characteristics. This finding is important because the sugarcane sector has faced criticism regarding the low level of employment and income due to the mechanization process. Finally, we pointed out the decrease in unskilled jobs in sugarcane, which demands for policy intervention to improve the human capital in the sugarcane sector.
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spelling Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and incomeAgricultureSugarcane sectorBrazilEconometricsHeckman's ModelAbstract: Several studies argue that agricultural mechanization has reduced employment and wages. However, there is a lack of studies analyzing employment and income over time, especially comparing the agricultural activities. Our major argument is the structural change in the employment - from un-skilled to skilled workers which has to be understood because of the overall decrease in the number of jobs. This study aims to analyze the labor market evolution in sugarcane farming and other agricultural activities, from 1992 to 2015. Using the National Household Sample Survey (PNAD/IBGE), we compared sugarcane and other Brazilian crops using econometrics techniques. We analyzed the Heckman's procedure and models with fixed effects panel data, controlling the unobservable characteristics of workers. Methodologically, our equations show convergence, since the Heckman procedure and pooled regression present similar estimates. We showed that fixed-effect regression captures the same trends of Ordinary Least Square (OLS) technique, using the Heckman method. Our main findings suggest that the wage of sugarcane workers is higher than wages in other crops, even after we control the observable and regional characteristics. This finding is important because the sugarcane sector has faced criticism regarding the low level of employment and income due to the mechanization process. Finally, we pointed out the decrease in unskilled jobs in sugarcane, which demands for policy intervention to improve the human capital in the sugarcane sector.Universidade Federal de São Carlos2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2021000400213Gestão & Produção v.28 n.4 2021reponame:Gestão & Produçãoinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCAR10.1590/1806-9649-2021v28e5768info:eu-repo/semantics/openAccessFerraz,DiogoOliveira,Fabíola Cristina Ribeiro deRebelatto,Daisy Aparecida do NascimentoPyka,Andreaseng2021-11-05T00:00:00Zoai:scielo:S0104-530X2021000400213Revistahttps://www.gestaoeproducao.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpgp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br1806-96490104-530Xopendoar:2021-11-05T00:00Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income
title Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income
spellingShingle Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income
Ferraz,Diogo
Agriculture
Sugarcane sector
Brazil
Econometrics
Heckman's Model
title_short Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income
title_full Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income
title_fullStr Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income
title_full_unstemmed Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income
title_sort Mechanization in sugarcane production and other agricultural activities: an econometric analysis of employment and income
author Ferraz,Diogo
author_facet Ferraz,Diogo
Oliveira,Fabíola Cristina Ribeiro de
Rebelatto,Daisy Aparecida do Nascimento
Pyka,Andreas
author_role author
author2 Oliveira,Fabíola Cristina Ribeiro de
Rebelatto,Daisy Aparecida do Nascimento
Pyka,Andreas
author2_role author
author
author
dc.contributor.author.fl_str_mv Ferraz,Diogo
Oliveira,Fabíola Cristina Ribeiro de
Rebelatto,Daisy Aparecida do Nascimento
Pyka,Andreas
dc.subject.por.fl_str_mv Agriculture
Sugarcane sector
Brazil
Econometrics
Heckman's Model
topic Agriculture
Sugarcane sector
Brazil
Econometrics
Heckman's Model
description Abstract: Several studies argue that agricultural mechanization has reduced employment and wages. However, there is a lack of studies analyzing employment and income over time, especially comparing the agricultural activities. Our major argument is the structural change in the employment - from un-skilled to skilled workers which has to be understood because of the overall decrease in the number of jobs. This study aims to analyze the labor market evolution in sugarcane farming and other agricultural activities, from 1992 to 2015. Using the National Household Sample Survey (PNAD/IBGE), we compared sugarcane and other Brazilian crops using econometrics techniques. We analyzed the Heckman's procedure and models with fixed effects panel data, controlling the unobservable characteristics of workers. Methodologically, our equations show convergence, since the Heckman procedure and pooled regression present similar estimates. We showed that fixed-effect regression captures the same trends of Ordinary Least Square (OLS) technique, using the Heckman method. Our main findings suggest that the wage of sugarcane workers is higher than wages in other crops, even after we control the observable and regional characteristics. This finding is important because the sugarcane sector has faced criticism regarding the low level of employment and income due to the mechanization process. Finally, we pointed out the decrease in unskilled jobs in sugarcane, which demands for policy intervention to improve the human capital in the sugarcane sector.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S0104-530X2021000400213
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2021000400213
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9649-2021v28e5768
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 Universidade Federal de São Carlos
publisher.none.fl_str_mv Universidade Federal de São Carlos
dc.source.none.fl_str_mv Gestão & Produção v.28 n.4 2021
reponame:Gestão & Produção
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str UFSCAR
institution UFSCAR
reponame_str Gestão & Produção
collection Gestão & Produção
repository.name.fl_str_mv Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv gp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br
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