Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach
Main Author: | |
---|---|
Publication Date: | 2020 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Revista Brasileira de Estudos Regionais e Urbanos (Online) |
Download full: | https://revistaaber.org.br/rberu/article/view/503 |
Summary: | Debates on the importance of renewable energy sources have arisen in the context of climate change. Wind power is a renewable and clean energy source with minimal environmental impact. Also, the existing literature indicates that the installation of wind farms can be an important channel for local development through job and income generation. In this context, this study aims to analyze the relationship between the presence of wind farms and the labor market outcomes of the municipalities of the Northeast region of Brazil, which contains around 80% of the installed capacity of this technology in the country. The database of this study is built from several public data sources. The methodological approach taken was a combination of propensity score matching and the estimation of the average treatment effect. However, we consider the existence of spatial dependence of the municipalities in the estimation of the propensity score. The results suggest that the presence of wind power plants is positively related to increases in the total wage of the municipalities, mostly in sectors such as construction, transportation, and logistics. In addition, the presence of these plants allows the shifting of resources to the agricultural sector. |
id |
ABER_e9efcb9d0a096f9f61b14cb5dfb5d046 |
---|---|
oai_identifier_str |
oai:ojs.emnuvens.com.br:article/503 |
network_acronym_str |
ABER |
network_name_str |
Revista Brasileira de Estudos Regionais e Urbanos (Online) |
repository_id_str |
|
spelling |
Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approachWind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approachWind energySpatial propensity score matchingLocal developmentWind energySpatial propensity score matchingLocal developmentDebates on the importance of renewable energy sources have arisen in the context of climate change. Wind power is a renewable and clean energy source with minimal environmental impact. Also, the existing literature indicates that the installation of wind farms can be an important channel for local development through job and income generation. In this context, this study aims to analyze the relationship between the presence of wind farms and the labor market outcomes of the municipalities of the Northeast region of Brazil, which contains around 80% of the installed capacity of this technology in the country. The database of this study is built from several public data sources. The methodological approach taken was a combination of propensity score matching and the estimation of the average treatment effect. However, we consider the existence of spatial dependence of the municipalities in the estimation of the propensity score. The results suggest that the presence of wind power plants is positively related to increases in the total wage of the municipalities, mostly in sectors such as construction, transportation, and logistics. In addition, the presence of these plants allows the shifting of resources to the agricultural sector.Debates on the importance of renewable energy sources have arisen in the context of climate change. Wind power is a renewable and clean energy source with minimal environmental impact. Also, the existing literature indicates that the installation of wind farms can be an important channel for local development through job and income generation. In this context, this study aims to analyze the relationship between the presence of wind farms and the labor market outcomes of the municipalities of the Northeast region of Brazil, which contains around 80% of the installed capacity of this technology in the country. The database of this study is built from several public data sources. The methodological approach taken was a combination of propensity score matching and the estimation of the average treatment effect. However, we consider the existence of spatial dependence of the municipalities in the estimation of the propensity score. The results suggest that the presence of wind power plants is positively related to increases in the total wage of the municipalities, mostly in sectors such as construction, transportation, and logistics. In addition, the presence of these plants allows the shifting of resources to the agricultural sector.Associação Brasileira de Estudos Regionais e Urbanos2020-03-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistaaber.org.br/rberu/article/view/503Revista Brasileira de Estudos Regionais e Urbanos; Vol. 13 No. 3 (2019): Brazilian Review of Regional and Urban Studies; 357-378Revista Brasileira de Estudos Regionais e Urbanos; v. 13 n. 3 (2019): Revista Brasileira de Estudos Regionais e Urbanos; 357-3782447-7990reponame:Revista Brasileira de Estudos Regionais e Urbanos (Online)instname:Associação Brasileira de Estudos Regionais e Urbano (ABER)instacron:ABERenghttps://revistaaber.org.br/rberu/article/view/503/293Copyright (c) 2019 ABERinfo:eu-repo/semantics/openAccessPastorelli Rodrigues, Thiago AntonioGonçalves, Solange LediChagas, André Squarize2022-01-05T15:28:54Zoai:ojs.emnuvens.com.br:article/503Revistahttps://revistaaber.org.br/rberuONGhttps://revistaaber.org.br/rberu/oaiaber.revista@gmail.com2447-79901981-3953opendoar:2022-01-05T15:28:54Revista Brasileira de Estudos Regionais e Urbanos (Online) - Associação Brasileira de Estudos Regionais e Urbano (ABER)false |
dc.title.none.fl_str_mv |
Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach |
title |
Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach |
spellingShingle |
Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach Pastorelli Rodrigues, Thiago Antonio Wind energy Spatial propensity score matching Local development Wind energy Spatial propensity score matching Local development |
title_short |
Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach |
title_full |
Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach |
title_fullStr |
Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach |
title_full_unstemmed |
Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach |
title_sort |
Wind power and the labor market in the Brazilian Northeast: a spatial propensity score matching approach |
author |
Pastorelli Rodrigues, Thiago Antonio |
author_facet |
Pastorelli Rodrigues, Thiago Antonio Gonçalves, Solange Ledi Chagas, André Squarize |
author_role |
author |
author2 |
Gonçalves, Solange Ledi Chagas, André Squarize |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Pastorelli Rodrigues, Thiago Antonio Gonçalves, Solange Ledi Chagas, André Squarize |
dc.subject.por.fl_str_mv |
Wind energy Spatial propensity score matching Local development Wind energy Spatial propensity score matching Local development |
topic |
Wind energy Spatial propensity score matching Local development Wind energy Spatial propensity score matching Local development |
description |
Debates on the importance of renewable energy sources have arisen in the context of climate change. Wind power is a renewable and clean energy source with minimal environmental impact. Also, the existing literature indicates that the installation of wind farms can be an important channel for local development through job and income generation. In this context, this study aims to analyze the relationship between the presence of wind farms and the labor market outcomes of the municipalities of the Northeast region of Brazil, which contains around 80% of the installed capacity of this technology in the country. The database of this study is built from several public data sources. The methodological approach taken was a combination of propensity score matching and the estimation of the average treatment effect. However, we consider the existence of spatial dependence of the municipalities in the estimation of the propensity score. The results suggest that the presence of wind power plants is positively related to increases in the total wage of the municipalities, mostly in sectors such as construction, transportation, and logistics. In addition, the presence of these plants allows the shifting of resources to the agricultural sector. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-05 |
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://revistaaber.org.br/rberu/article/view/503 |
url |
https://revistaaber.org.br/rberu/article/view/503 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistaaber.org.br/rberu/article/view/503/293 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 ABER info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 ABER |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Estudos Regionais e Urbanos |
publisher.none.fl_str_mv |
Associação Brasileira de Estudos Regionais e Urbanos |
dc.source.none.fl_str_mv |
Revista Brasileira de Estudos Regionais e Urbanos; Vol. 13 No. 3 (2019): Brazilian Review of Regional and Urban Studies; 357-378 Revista Brasileira de Estudos Regionais e Urbanos; v. 13 n. 3 (2019): Revista Brasileira de Estudos Regionais e Urbanos; 357-378 2447-7990 reponame:Revista Brasileira de Estudos Regionais e Urbanos (Online) instname:Associação Brasileira de Estudos Regionais e Urbano (ABER) instacron:ABER |
instname_str |
Associação Brasileira de Estudos Regionais e Urbano (ABER) |
instacron_str |
ABER |
institution |
ABER |
reponame_str |
Revista Brasileira de Estudos Regionais e Urbanos (Online) |
collection |
Revista Brasileira de Estudos Regionais e Urbanos (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Estudos Regionais e Urbanos (Online) - Associação Brasileira de Estudos Regionais e Urbano (ABER) |
repository.mail.fl_str_mv |
aber.revista@gmail.com |
_version_ |
1836104739145646080 |