Effects of income inequality on the economic growth of Brazilian states
Purpose The purpose of this paper is to investigate the effects of income inequality on the economic growth of Brazilian states in the period from 1994 to 2014. The transmission mechanism of the effects of income inequality on economic growth is derived from the model proposed by Halter et al. (2014...
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| Veröffentlicht in: | International journal of social economics 2018-03, Vol.45 (3), p.548-563 |
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| container_title | International journal of social economics |
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| creator | Besarria, Cássio Nobrega Araujo, Jevuks Matheus Silva, Andrea Ferreira da Sobral, Erika Fernanda Miranda Pereira, Thiago Geovane |
| description | Purpose
The purpose of this paper is to investigate the effects of income inequality on the economic growth of Brazilian states in the period from 1994 to 2014. The transmission mechanism of the effects of income inequality on economic growth is derived from the model proposed by Halter et al. (2014).
Design/methodology/approach
The empirical formulation adopted to achieve this goal is divided into two stages. The first stage is limited to short-term analysis, and panel data models with fixed effects, random effects, and instrumental variables are used. In the second stage, the discussion turns to the use of the error correction model for a cointegrated panel.
Findings
The findings of this study suggest that inequalities in income and educational level are the principal determinants of different growth rates among Brazilian states. More specifically, it is found that additional years of schooling positively influence growth. By contrast, income inequality negatively affects this indicator.
Originality/value
The present study differs from the others in that it adapts the discussion proposed by Halter et al. (2014) to the analysis of Brazilian states. Halter et al. (2014) derive the transmission channel between income inequality and economic growth, showing a non-monotonic adjustment trajectory of production that leads to a linear theoretical model of income inequality and economic growth that is similar to those used in this type of approach. |
| doi_str_mv | 10.1108/IJSE-02-2017-0039 |
| format | Article |
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The purpose of this paper is to investigate the effects of income inequality on the economic growth of Brazilian states in the period from 1994 to 2014. The transmission mechanism of the effects of income inequality on economic growth is derived from the model proposed by Halter et al. (2014).
Design/methodology/approach
The empirical formulation adopted to achieve this goal is divided into two stages. The first stage is limited to short-term analysis, and panel data models with fixed effects, random effects, and instrumental variables are used. In the second stage, the discussion turns to the use of the error correction model for a cointegrated panel.
Findings
The findings of this study suggest that inequalities in income and educational level are the principal determinants of different growth rates among Brazilian states. More specifically, it is found that additional years of schooling positively influence growth. By contrast, income inequality negatively affects this indicator.
Originality/value
The present study differs from the others in that it adapts the discussion proposed by Halter et al. (2014) to the analysis of Brazilian states. Halter et al. (2014) derive the transmission channel between income inequality and economic growth, showing a non-monotonic adjustment trajectory of production that leads to a linear theoretical model of income inequality and economic growth that is similar to those used in this type of approach.</description><identifier>ISSN: 0306-8293</identifier><identifier>EISSN: 1758-6712</identifier><identifier>DOI: 10.1108/IJSE-02-2017-0039</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Academic achievement ; Economic growth ; Economic inequality ; Economic models ; GDP ; Gross Domestic Product ; Hypotheses ; Income inequality ; Investigations ; Panel data ; Per capita ; Population ; Random effects ; Regions ; Studies</subject><ispartof>International journal of social economics, 2018-03, Vol.45 (3), p.548-563</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c187t-9b9ab79a22ef9b78e97cb6168cb2576e17ff38686c55836fc2c9d0d6aaa5f51a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/IJSE-02-2017-0039/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,780,784,966,11626,12837,27915,27916,30990,52680</link.rule.ids></links><search><creatorcontrib>Besarria, Cássio Nobrega</creatorcontrib><creatorcontrib>Araujo, Jevuks Matheus</creatorcontrib><creatorcontrib>Silva, Andrea Ferreira da</creatorcontrib><creatorcontrib>Sobral, Erika Fernanda Miranda</creatorcontrib><creatorcontrib>Pereira, Thiago Geovane</creatorcontrib><title>Effects of income inequality on the economic growth of Brazilian states</title><title>International journal of social economics</title><description>Purpose
The purpose of this paper is to investigate the effects of income inequality on the economic growth of Brazilian states in the period from 1994 to 2014. The transmission mechanism of the effects of income inequality on economic growth is derived from the model proposed by Halter et al. (2014).
Design/methodology/approach
The empirical formulation adopted to achieve this goal is divided into two stages. The first stage is limited to short-term analysis, and panel data models with fixed effects, random effects, and instrumental variables are used. In the second stage, the discussion turns to the use of the error correction model for a cointegrated panel.
Findings
The findings of this study suggest that inequalities in income and educational level are the principal determinants of different growth rates among Brazilian states. More specifically, it is found that additional years of schooling positively influence growth. By contrast, income inequality negatively affects this indicator.
Originality/value
The present study differs from the others in that it adapts the discussion proposed by Halter et al. (2014) to the analysis of Brazilian states. Halter et al. (2014) derive the transmission channel between income inequality and economic growth, showing a non-monotonic adjustment trajectory of production that leads to a linear theoretical model of income inequality and economic growth that is similar to those used in this type of approach.</description><subject>Academic achievement</subject><subject>Economic growth</subject><subject>Economic inequality</subject><subject>Economic models</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Hypotheses</subject><subject>Income inequality</subject><subject>Investigations</subject><subject>Panel data</subject><subject>Per capita</subject><subject>Population</subject><subject>Random effects</subject><subject>Regions</subject><subject>Studies</subject><issn>0306-8293</issn><issn>1758-6712</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNplkM1KAzEYRYMoWKsP4C7gOvolIX9LLbVWCi7U9ZBJEztlZtImGaQ-vVPqztXdHO7lHoRuKdxTCvph-fo-J8AIA6oIADdnaEKV0EQqys7RBDhIopnhl-gq5y0ACK1hghbzELwrGceAm97Fzo_h94Ntm3LAscdl47F3sY9d4_BXit9lc2Sfkv1p2sb2OBdbfL5GF8G22d_85RR9Ps8_Zi9k9bZYzh5XxFGtCjG1sbUyljEfTK20N8rVkkrtaiaU9FSFwLXU0gmhuQyOObOGtbTWiiCo5VN0d-rdpbgffC7VNg6pHycrNt7mQiomRgpOlO98su262qWms-lQUaiOuqp_uvgvFPJczQ</recordid><startdate>20180305</startdate><enddate>20180305</enddate><creator>Besarria, Cássio Nobrega</creator><creator>Araujo, Jevuks Matheus</creator><creator>Silva, Andrea Ferreira da</creator><creator>Sobral, Erika Fernanda Miranda</creator><creator>Pereira, Thiago Geovane</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7QJ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8BJ</scope><scope>8FI</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGRYB</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HEHIP</scope><scope>JBE</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0O</scope><scope>M0T</scope><scope>M2R</scope><scope>M2S</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20180305</creationdate><title>Effects of income inequality on the economic growth of Brazilian states</title><author>Besarria, Cássio Nobrega ; Araujo, Jevuks Matheus ; Silva, Andrea Ferreira da ; Sobral, Erika Fernanda Miranda ; Pereira, Thiago Geovane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c187t-9b9ab79a22ef9b78e97cb6168cb2576e17ff38686c55836fc2c9d0d6aaa5f51a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Academic achievement</topic><topic>Economic growth</topic><topic>Economic inequality</topic><topic>Economic models</topic><topic>GDP</topic><topic>Gross Domestic Product</topic><topic>Hypotheses</topic><topic>Income inequality</topic><topic>Investigations</topic><topic>Panel data</topic><topic>Per capita</topic><topic>Population</topic><topic>Random effects</topic><topic>Regions</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Besarria, Cássio Nobrega</creatorcontrib><creatorcontrib>Araujo, Jevuks Matheus</creatorcontrib><creatorcontrib>Silva, Andrea Ferreira da</creatorcontrib><creatorcontrib>Sobral, Erika Fernanda Miranda</creatorcontrib><creatorcontrib>Pereira, Thiago Geovane</creatorcontrib><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Hospital Premium Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Criminology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Sociology Collection</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Criminal Justice Database</collection><collection>Healthcare Administration Database</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>International journal of social economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Besarria, Cássio Nobrega</au><au>Araujo, Jevuks Matheus</au><au>Silva, Andrea Ferreira da</au><au>Sobral, Erika Fernanda Miranda</au><au>Pereira, Thiago Geovane</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of income inequality on the economic growth of Brazilian states</atitle><jtitle>International journal of social economics</jtitle><date>2018-03-05</date><risdate>2018</risdate><volume>45</volume><issue>3</issue><spage>548</spage><epage>563</epage><pages>548-563</pages><issn>0306-8293</issn><eissn>1758-6712</eissn><abstract>Purpose
The purpose of this paper is to investigate the effects of income inequality on the economic growth of Brazilian states in the period from 1994 to 2014. The transmission mechanism of the effects of income inequality on economic growth is derived from the model proposed by Halter et al. (2014).
Design/methodology/approach
The empirical formulation adopted to achieve this goal is divided into two stages. The first stage is limited to short-term analysis, and panel data models with fixed effects, random effects, and instrumental variables are used. In the second stage, the discussion turns to the use of the error correction model for a cointegrated panel.
Findings
The findings of this study suggest that inequalities in income and educational level are the principal determinants of different growth rates among Brazilian states. More specifically, it is found that additional years of schooling positively influence growth. By contrast, income inequality negatively affects this indicator.
Originality/value
The present study differs from the others in that it adapts the discussion proposed by Halter et al. (2014) to the analysis of Brazilian states. Halter et al. (2014) derive the transmission channel between income inequality and economic growth, showing a non-monotonic adjustment trajectory of production that leads to a linear theoretical model of income inequality and economic growth that is similar to those used in this type of approach.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/IJSE-02-2017-0039</doi><tpages>16</tpages></addata></record> |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); Emerald Journals |
| subjects | Academic achievement Economic growth Economic inequality Economic models GDP Gross Domestic Product Hypotheses Income inequality Investigations Panel data Per capita Population Random effects Regions Studies |
| title | Effects of income inequality on the economic growth of Brazilian states |
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