47 lines
2.5 KiB
YAML
47 lines
2.5 KiB
YAML
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author: Silveira Neto, R. D. M., & Azzoni, C. R.
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year: 2011
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title: Non-spatial government policies and regional income inequality in brazil
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publisher: Regional Studies
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uri: https://doi.org/10.1080/00343400903241485
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discipline: economics
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country: Brazil
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period: 1995-2005
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maxlength:
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targeting: implicit
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group: poor
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data: national administrative survey 'Pesquisa Nacional por Amostra de Domicılio' (PNAD)
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design: quasi-experimental
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method: beta convergence test; using Gini coefficient
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sample: 27
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unit: region
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representativeness: national
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causal: 1 # 0 correlation / 1 causal
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theory:
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limitations: limited underlying data only allows estimation of Bolsa impact at endline; minimum wage had to be estimated from minimum-wage equal job incomes
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observation:
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- intervention: minimum wage; direct transfers (cash)
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institutional: 1
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structural: 0
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agency: 1
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inequality: spatial; income
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type: 1 # 0 vertical / 1 horizontal
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indicator: 1 # 0 absolute / 1 relative
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measures: income
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findings: incomes have converged between regions after introduction of cash transfer and minimum wage with both accounting for 26.2% of effect; minimum wage contributed 16.6% to overall Gini reduction, transfers 9.6%
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channels: quasi-regional effects through predominant transfers to poorer regions
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direction: 1 # -1 neg / 0 none / 1 pos
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significance: 1 # 0 nsg / 1 msg / 2 sg
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notes:
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annotation: |
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A study on the impacts of minimum wage and direct cash transfers in Brazil on the country's income inequality but especially the way the policies interact with spatial inequalities.
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It finds that incomes between regions have converged during the time frame and overall the cash transfers under the 'Bolsa Familia' programme and minimum wage were accounting for 26.2% of the effect.
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Minimum wage contributed 16.6% of the effect to overall Gini reduction between the regions while cash transfers accounted for 9.6% of the effect.
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The authors argue that this highlights the way even non-spatial policies can have a positive (or, with worse targeting or selection, negative) influence on spatial inequalities,
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as transfers occuring predominantly to poorer regions and minimum wages having larger impacts in those regions created quasi-regional effects without being explictly adressed in the policies.
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Some limitations include limited underlying data only making it possible to estimate the cash transfer impacts for the analysis endline,
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and minimum wage effects having to be constructed from the effects wages equal to minimum-wage.
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