SlideShare uma empresa Scribd logo
1 de 40
The determinants of the
      sharp improvement
in income distribution in Brazil
          Ricardo Paes de Barros
            Rosane Mendonça
              Raquel Tsukada




          Republic of Uganda Delegation Visit


               Brasília, 27 March 2012
1. Evaluating the magnitude
of the decline in poverty and
         inequality
Evolution of extreme poverty rate in Brazil: 1990-2009

                                     25

                                                 22.6 22.9
                                     23                                           Cardoso                                     Lula

                                          22.1
Percentage of the population below




                                     21
                                                  Real Plan
     the extreme poverty line




                                     19
                                                                      17.7 17.8          17.4   17.4          17.5
                                                               17.3
                                                                                  16.8                 16.5
                                     17
                                                                                                                     15.1
                                     15
                                                                                                                            13.3
                                     13
                                                                                                                                   10.8
                                     11                         Millennium Development Goal for 2015                                      10.3

                                                                                                                                                 8.8
                                     9                                                                                                                 8.4


                                     7

                                     5
                                      1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Evolution of extreme poverty in Brazil: 1999-2009
                                     20

                                     19                        Reduction in extreme poverty necessary to
                                                                       achieve the MDG by 2015
                                     18
Percentage of the population below




                                                                                                         Extreme poverty in 2001
                                     17
     the extreme poverty line




                                     16                                                                                      4.0

                                     15

                                     14

                                     13

                                     12

                                     11        Millennium Development Goal for 2015
                                                                                                                   Total reduction in
                                     10                                                                                                    9.1
                                                                                                                    extreme poverty
                                     9
                                                                               Extreme poverty in 2009
                                     8
                                      1999   2000    2001      2002     2003       2004      2005        2006    2007      2008     2009         2010
Evolution of extreme poverty in Brazil: 1999-2009
                                     20

                                     19                        Reduction in extreme poverty necessary to
                                                                       achieve the MDG by 2015
                                     18
Percentage of the population below




                                                                                                          Extreme poverty in 2001
                                     17
     the extreme poverty line




                                     16                                                                                       4.0

                                     15                                                                                                      5.5
                                                Poverty evolution without growth
                                     14

                                     13
                                                     Reduction in extreme poverty due to
                                                         the reduction in inequality
                                     12

                                     11        Millennium Development Goal for 2015
                                                                                                                    Total reduction in
                                     10                                                                                                     9.1
                                                                                                                     extreme poverty
                                     9
                                                                                Extreme poverty in 2009
                                     8
                                      1999   2000    2001      2002      2003       2004      2005        2006    2007      2008     2009          2010
Evolution of the degree of inequality in per capita income:
                                                              Brazil, 1995-2009
                   0.65
                                                                  0.634
                   0.64

                   0.63
                                                              0.615
                   0.62                                                0.612

                   0.61                                                                   0.599
Gini coefficient




                                                 0.599                     0.602                        0.600
                   0.60                 0.588
                              0.589                                                               0.600
                                                                                                       0.598      0.592 0.594
                   0.59                       0.596
                                                                                 0.580                                          0.587
                                      0.594           0.587
                   0.58   0.582                                                                                                    0.581

                   0.57                                                                                                                 0.569
                                                                                                                                            0.566
                   0.56                                                                                                                        0.560
                                                                                                                                                    0.552
                   0.55
                                                                                                                                                       0.544
                   0.54
                                                                                                                                                    0.539
                   0.53
                       1981     1983      1985        1987      1989      1991     1993   1995      1997       1999   2001   2003       2005   2007    2009
Average annual growth rate in per capita income by tenths of the
                                             distribution: Brazil, 2001-2009

                         9
                             Bottom 10%
                         8


                         7
Annual growth rate (%)




                         6


                         5


                         4
                                                                                                            Top 10%
                         3
                                                               Average

                         2


                         1


                         0
                             First   Second   Third   Fourth   Fifth     Sixth   Seventh   Eighth   Ninth     Tenth
Distribution of countries according to the average per capita GDP
                                                          growth rate between 1990 and 2005
                                 15

                                 13
Average annual growth rate (%)




                                 11
                                                                                                                                               China
                                 9

                                 7                                                                                            Brazilian bottom 10%

                                 5

                                 3
                                                                     Germany
                                 1
                                                                                   Brazilian top 10%
                                 -1

                                 -3           Haiti

                                 -5
                                      0   5   10      15   20   25   30   35     40   45    50   55    60      65   70   75    80    85   90     95    100

                                                                               Distribution of countries (%)
2. Expansion of opportunities
Reduction in infant mortality adjusted for inequality of opportunity:
                                           Brazil 1996-2006


Postinfant mortality (1 to
        5 years)

                                                                        Faster than                                Slower than
                                                                      required by the                            required by the
 Postneonatal mortality                                                   MDG                                         MDG


                                                                                                       Reduction
                                                                                                      to 1/2 in 25
                                                                                                         years
      Neonatal mortality          Remaining level of mortality                                                        Reduction



                                                                                        Reduction
  Child mortality (up to 5                                                              to a 1/3 in
          years)                                                                         25 years




    Infant mortality (first
                                                          2006                                                                     1996
            year)


                              0   10      20        30           40      50         60           70           80         90        100

                                         Infant mortality at the end as a percentage of the initial level
Reduction in malnutrition and lack of access to basic health services:
                                      Brazil, 1996-2006


     Malnutrition,
underweight: weight for
         age                                                        Faster than                            Slower than
                                                                  required by the                        required by the
                                                                      MDG                                     MDG

  Malnutrition, wasting:                                                                   Reduction
    weight for height                                                                      to 1/2 in 25
                                                                                              years



 Malnutrition, stunting:
    height for age
                                                                                Reduction to
                                                                                  1/3 in 25
                                                                                   years

         Postnatal care

                                 Remaining deficits


           Prenatal care
                                      2006                                 Reduction                                   1996


                           0     10          20       30     40       50            60    70        80          90         100
                  Malnutrition and lack of access to basic heath at the end as a percentage of the initial level
Reduction in educational deficit adjusted for the inequality of
                              opportunity: Brazil 1999-2009

    Has not completed
secondary school at age 18

 Has not completed eighth
      grade at age 16
                                                                    Faster than                               Slower than
                                                                  required by the                           required by the
 Has not completed eighth                                             MDG                                        MDG
      grade at age 15

   Has not completed forth
       grade at age 11

                                                                                                  Reduction
Not attending school (15-17                                                                       to 1/2 in 25
                                  Remaining educational deficit
        years olds)                                                                                  years

 Not attending school (7-14
         years olds)
                                                                                    Reduction
  Not attending school (5-6                                                         to a 1/3 in
                                                                                     25 years
                                                                                                                 Reduction
         years olds)

   Child labor (10-14 years                                                                                                   1999
                                                                   2009
            olds)

                              0   10       20       30       40       50        60           70           80        90        100

                                       Educational deficit at the end as a percentage of the initial level
Reduction in deficits in access to information, water and
               sanitation adjusted for the inequality of opportunity:
                                   Brazil 1999-2009


Lack of adequate acess to
  water and sanitation
                                                                        Faster than                           Slower than
                                                                      required by the                       required by the
                                                                          MDG                                    MDG

Lack of adequate acess to
        sanitation
                                                                                              Reduction
                                                                                              to a 1/2 in
                                                                                               25 years

Lack of adequate acess to
          water                         Remaining deficit in access

                                                                                  Reduction to
                                                                                   a 1/3 in 25
                                                                                      years

      Adequate access to
         information                                    2009                                                                  1999
                                                                                            Reduction


                            0      10         20       30       40        50        60       70         80         90          100

                   Deficit in access to information, water and sanitation at the end as a percentage of the initial level
3. Immediate Determinants
Non labor income      Labor income per
per capita                     per adult           adult working
 income


             y         a. o u.w
                 Percentage of adults    Percentage of adults
                                              working
4. The Contribution of the
Brazilian Transfer Programmes
Brazilian Income Transfer Programmes


I. Bolsa Família
  Conditional cash transfer programme to poor families,
   conditional on children attending school and health care visits
  Small per capita transfer
  Number of beneficiaries in 2009: 13 millions families (around 35
   million individuals)
  Annual expenditure in 2009: R$ 10 billions (0,4% do PIB)
Brazilian Income Transfer Programmes


II. Pension to Poor Elderly or Disabled People (BPC)
  Income transfer to poor elderly (> 64) and disabled people
  One minimum wage transfer
  Number of beneficiaries in 2009: 3,5 million
  Annual expenditure in 2009: R$ 18,7 billions (0,6% do PIB)
Brazilian Income Transfer Programmes


III. Rural Pension
  Income transfer to rural poor old people
  One minimum wage transfer
  Number of beneficiaries in 2009: 8,1 millions
  Annual expenditure in 2009: R$ 44 billions (1,7% do PIB)
Distribution of Bolsa Família beneficiaries by percentile of the
                                              distribution of per capita income: Brazil
             5,0

                             Red de Oportunidades - Panama
             4,5


             4,0         SUF - Chile

             3,5


             3,0
percentage




             2,5
                                                Bolsa Família
             2,0


             1,5


             1,0


             0,5                                                                                                  Oportunidades


             0,0
                   0         10              20              30              40              50              60              70              80                90   100
                                                                         percentiles of the distribution

Source: Estimates based on Pesquisa Nacional por amostra deDomicílios (PNAD) from 2004 to 2008 and Encuesta de Hogares, Panama, 2008 and CASEN, Chile, 2003.
Note1: The per capita income that defined the hundreths of population excludes the income of the benefit.
Distribution of Bolsa Família beneficiaries by percentile of the
                                               distribution of per capita income: Brazil
             4,00


             3,50

                         2007
             3,00

                        2004
             2,50
percentage




             2,00


             1,50


             1,00


             0,50


             0,00
                    0          10            20               30              40              50    60      70   80   90   100
                                                                          percentiles of the distribution

Source: Estimates based on Pesquisa Nacional por amostra deDomicílios (PNAD) from 2004 to 2007.
Determinants of Bolsa Família targeting

                                         Percentage of the
                                      benefits going to families   Contribution
Targeting mechanism
                                       with per capita income          (%)
                                            below R$120


Without any targeting mechanism
(random allocation)                             19,8

Targeting solely based on municipal
cotas proportional to poverty                   32,0                   33

Random selection from the Cadastro
Único                                           55,0                   62

Targeting using the information on
income from Cadastro Único                      57,1                    6
The contribution of transfers to the recent decline in income inequality and
                                poverty: Brazil, 2001-2007

                                                                                                      Percentage
                                                                 Percentage                                         Extreme      Extreme
                                                 Gini                       Poverty gap   Poverty     of extremely
Income sources                                                     of poor                                         poverty gap   poverty
                                              coefficient                      (P1)     severity (P2)     poor
                                                                    (P0)                                              (P1)     severity (P2)
                                                                                                          (P0)


Total transfers                                    49                  42                  51                 57   52   66          79

  Public transfers                                 49                  41                  50                 57   51   67          82

    Pensions and retirement
    benefits                                       28                  30                  25                 22   22   19          18

    Benefício de Prestação
    Continuada (BPC)                               10                   6                   9                 11   7    14          19

    Bolsa Família                                  13                   3                  15                 25   19   39          57
Source: Estimations produced based on the Pesquisa Nacional por Amostra de Domicílios (Pnad) 2001 and 2007.
Extreme poverty by age:
                                                                                          Brazil, 2009
                                         50


                                         45
Percentage of the population below the




                                         40


                                         35
        extreme poverty line




                                         30


                                         25


                                         20


                                         15
                                                                                                                             Excluding public transfers

                                         10
                                                                                                                        Average including transfers

                                         5
                                                  Including public transfers

                                         0
                                              0       5       10      15       20   25   30    35    40       45   50   55      60      65      70        75
                                                                                                Age (years)
Continuity of results, not necessarily of policies
                                                             Extreme poverty by age after transfers:
                                                                               Brazil, 2009
                                         20


                                         18


                                         16
Percentage of the population below the




                                         14
        extreme poverty line




                                         12


                                         10

                                                                                                 Average
                                         8


                                         6


                                         4


                                         2


                                         0
                                              0   5   10   15   20   25   30      35       40        45    50   55   60   65   70   75
                                                                                       Age (years)
5. The Productive Inclusion
        of the Poor
Table 1: Characteristics of the income growth of the 20% poorest:
                                     Brasil, 2003-2009
                                                                                                         Variation

Indicator                                                   2003          2009
                                                                                       Absolut           Relative    Annual growth
                                                                                     (R$/month)            (%)          rate (%)


Income per capita (R$/month)                                  62           100            39               63             8,4


Percentage of adults (%)                                     55,0         58,0            3,0              5,5            0,9

Non work-related income per adult (R$/month)                  25            49            25               100           12,3


Work-related income per adult (R$/month)                      87           123            35               40             5,8

Percentage of the family income originated from
                                                             78,0         71,0           -7,0              -9,0          .....
work (%)

Income per capita if only work-related income
                                                             .....         81*            19               31             4,7
had grown (R$/month)
Source: Estimates obtained from the household survey Pesquisa Nacional por Amostra de Domicílios (PNAD) in 2003 and 2009.
Note: * Income per capita if w ork-related income w ere as of 2009, all else constant, in 2003 values.
The Productive Inclusion of the Poor

 Brazil has demonstrated a significant capacity of promoting the
  productive inclusion of its most vulnerable segments.

 Conditions for a successful productive inclusion:
   Availability of good opportunities
   Guarantee for effective access

   Protagonism
The Productive Inclusion of the Poor

 For the effective eradication of extreme poverty is necessary that
  both private and public sectors contribute as much as possible to
  the productive inclusion of the low-income population.

 The public sector must complement the initiatives implemented
  by the private sector to generate productive opportunities in
  communities with less-dynamic economies:
   Direct creation of productive opportunities
   Legislation, supervision and tripartite agreements
   Promotion of the local economy
The Productive Inclusion of the Poor

 Regarding the vital role of public policies: it is important to
  guarantee that the poorest workers will have effective
  access to the available productive opportunities.

   Providing information about locally available opportunities
   Training and overcoming discrimination

   Guaranteeing minimum conditions
6. The magnitude of the economic crisis
     in Brazil and the nature of the
adjustment process in the labor market
Real GDP: Brazil, 2008 and 2009
                      150



                      145



                      140
REal GDP (1995=100)




                      135



                      130

                                                                                          Current
                      125                                                                 Previous year
                                                                                          Average of three previous years
                                                              2008   2009
                      120
                            3rd quarter         4th quarter                 1st quarter                        2nd quarter
Real GDP - Secondary sector: Brazil, 2008 and 2009
                      140



                      135



                      130
REal GDP (1995=100)




                      125



                      120

                                                                                        Current
                      115                                                               Previous year
                                                                                        Average of three previous years
                                                            2008   2009
                      110
                            3rd quarter       4th quarter                 1st quarter                        2nd quarter
Accumulated net creation of formal jobs:
                                                                 Brazil, 2000-2010
                                      12,0

                                      11,0

                                      10,0

                                       9,0
Accumulated job creation (millions)




                                       8,0

                                       7,0

                                       6,0

                                       5,0

                                       4,0

                                       3,0

                                       2,0

                                       1,0

                                       0,0
                                         2000   2001     2002   2003   2004   2005   2006   2007   2008   2009   2010
Accumulated net creation of formal jobs:
                                                                 Brazil, 2000-2010
                                      12,0

                                      11,0

                                      10,0

                                       9,0
Accumulated job creation (millions)




                                       8,0

                                       7,0

                                       6,0

                                       5,0

                                       4,0

                                       3,0

                                       2,0

                                       1,0

                                       0,0
                                         2000   2001     2002   2003   2004   2005   2006   2007   2008   2009   2010
Monthly job net creation relative to the average for the previous five years:
                                                                                                   Brazil, 2008-09
                                                       200

                                                       150

                                                       100
Difference in job creation (thousand jobs per month)




                                                        50

                                                         0

                                                        -50

                                                       -100

                                                       -150

                                                       -200

                                                       -250

                                                       -300

                                                       -350

                                                       -400

                                                       -450
                                                                                   2008        2009
                                                       -500
                                                              October   November   December   January   February   March   April   May   June   July   August   September
Monthly job creation relative to the average for the previous five years:
                                                                                                Brazil , 2008-09
                                                       100

                                                        80                                               Primary
                                                                                                         Secondary
                                                        60
Difference in job creation (thousand jobs per month)




                                                                                                         Superior
                                                        40

                                                        20

                                                         0

                                                        -20

                                                        -40

                                                        -60

                                                        -80

                                                       -100

                                                       -120
                                                                                   2008        2009
                                                       -140
                                                              October   November   December   January   February    March   April   May   June   July   August   September
Monthly job creation and job destruction: Brazil, 2008-09
                                                         1500


                                                         1450
job creation and destruction (thousand jobs per month)




                                                         1400


                                                         1350


                                                         1300


                                                         1250


                                                         1200


                                                         1150

                                                                                                                                       Creation
                                                         1100
                                                                                                                                       Destruction
                                                         1050
                                                                                     2008        2009
                                                         1000
                                                                October   November   December   January   February   March   April   May     June    July   August   September
Strategic Themes - SSAE
ERRADICATION OF EXTREME          SOCIAL, SPATIAL AND SYMBOLIC
POVERTY VIA MOST EFFECTIVE USE   INTEGRATION IN LARGE CITIES
OF EXISTING POLICY AND SOCIAL
PROGRAMS

PROMOTION AND CONSOLIDATION      HOW TO DEVELOP A NATIONAL
OF A PRODUCTIVE AND DYNAMIC      SYSTEM OF EVALUATION OF
NEW MIDDLE CLASS, RISK-FREE OF   PUBLIC POLICY
RETURNING TO POVERTY


OPORTUNITY FOR A FULL AND        FORMULATING STRATEGIES FOR
COMPREHENSIVE                    INCLUSIVE DEVELOPMENT WITH
DEVELOPMENT IN EARLY             STATES
CHILDHOOD


OPORTUNITIES FOR A HEALTHY AND   STRESSING THE PROMOTION OF
PRODUCTIVE TRANSITION TO ADULT   PRINCIPLES IN THE DESIGN OF
LIFE                             SOCIAL POLICIES WITHOUT
                                 LIMITING THE RESULTS

Mais conteúdo relacionado

Mais de UNDP Policy Centre

"Valoração Espacialmente Explícita dos Serviços Ecossistêmicos da Floresta Am...
"Valoração Espacialmente Explícita dos Serviços Ecossistêmicos da Floresta Am..."Valoração Espacialmente Explícita dos Serviços Ecossistêmicos da Floresta Am...
"Valoração Espacialmente Explícita dos Serviços Ecossistêmicos da Floresta Am...UNDP Policy Centre
 
"Quantificando localmente os Benefícios Providos pela Vegetação Nativa ao Set...
"Quantificando localmente os Benefícios Providos pela Vegetação Nativa ao Set..."Quantificando localmente os Benefícios Providos pela Vegetação Nativa ao Set...
"Quantificando localmente os Benefícios Providos pela Vegetação Nativa ao Set...UNDP Policy Centre
 
"Programa ABC - Agricultura de Baixo Carbono"
"Programa ABC - Agricultura de Baixo Carbono""Programa ABC - Agricultura de Baixo Carbono"
"Programa ABC - Agricultura de Baixo Carbono"UNDP Policy Centre
 
"Restauração de Pastagens Degradadas e Sistemas de Integração Lavoura-Pecuári...
"Restauração de Pastagens Degradadas e Sistemas de Integração Lavoura-Pecuári..."Restauração de Pastagens Degradadas e Sistemas de Integração Lavoura-Pecuári...
"Restauração de Pastagens Degradadas e Sistemas de Integração Lavoura-Pecuári...UNDP Policy Centre
 
"Custo de restauração florestal no Brasil e o cumprimento do Código Florestal"
"Custo de restauração florestal no Brasil e o cumprimento do Código Florestal""Custo de restauração florestal no Brasil e o cumprimento do Código Florestal"
"Custo de restauração florestal no Brasil e o cumprimento do Código Florestal"UNDP Policy Centre
 
"Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil"
"Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil""Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil"
"Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil"UNDP Policy Centre
 
"O Mercado de Cotas de Reservas Ambientais (CRAs)
"O Mercado de Cotas de Reservas Ambientais (CRAs)"O Mercado de Cotas de Reservas Ambientais (CRAs)
"O Mercado de Cotas de Reservas Ambientais (CRAs)UNDP Policy Centre
 
"Decifrando o Código Florestal Brasileiro"
"Decifrando o Código Florestal Brasileiro""Decifrando o Código Florestal Brasileiro"
"Decifrando o Código Florestal Brasileiro"UNDP Policy Centre
 
"O Código Florestal de 2012: marcos institucional e jurídico"
"O Código Florestal de 2012: marcos institucional e jurídico""O Código Florestal de 2012: marcos institucional e jurídico"
"O Código Florestal de 2012: marcos institucional e jurídico"UNDP Policy Centre
 
"O Programa de Investimento Florestal (FIP)
"O Programa de Investimento Florestal (FIP)"O Programa de Investimento Florestal (FIP)
"O Programa de Investimento Florestal (FIP)UNDP Policy Centre
 
"KfW - REM (Redd Early Movers)"
"KfW - REM (Redd Early Movers)""KfW - REM (Redd Early Movers)"
"KfW - REM (Redd Early Movers)"UNDP Policy Centre
 
"Desafios Econômicos e Ambientais das Cadeias Produtivas da Carne e da Soja"
"Desafios Econômicos e Ambientais das Cadeias Produtivas da Carne e da Soja""Desafios Econômicos e Ambientais das Cadeias Produtivas da Carne e da Soja"
"Desafios Econômicos e Ambientais das Cadeias Produtivas da Carne e da Soja"UNDP Policy Centre
 
"Indicadores de Sustentabilidade"
"Indicadores de Sustentabilidade""Indicadores de Sustentabilidade"
"Indicadores de Sustentabilidade"UNDP Policy Centre
 
"Sustentabilidade na Cadeia da Soja Brasileira"
"Sustentabilidade na Cadeia da Soja Brasileira""Sustentabilidade na Cadeia da Soja Brasileira"
"Sustentabilidade na Cadeia da Soja Brasileira"UNDP Policy Centre
 
“Abordagens jurisdicionais para redução do desmatamento: o Programa PCI e o G...
“Abordagens jurisdicionais para redução do desmatamento: o Programa PCI e o G...“Abordagens jurisdicionais para redução do desmatamento: o Programa PCI e o G...
“Abordagens jurisdicionais para redução do desmatamento: o Programa PCI e o G...UNDP Policy Centre
 
“Capacidades dos sistemas de monitoramento do Inpe para políticas públicas r...
 “Capacidades dos sistemas de monitoramento do Inpe para políticas públicas r... “Capacidades dos sistemas de monitoramento do Inpe para políticas públicas r...
“Capacidades dos sistemas de monitoramento do Inpe para políticas públicas r...UNDP Policy Centre
 

Mais de UNDP Policy Centre (20)

"Valoração Espacialmente Explícita dos Serviços Ecossistêmicos da Floresta Am...
"Valoração Espacialmente Explícita dos Serviços Ecossistêmicos da Floresta Am..."Valoração Espacialmente Explícita dos Serviços Ecossistêmicos da Floresta Am...
"Valoração Espacialmente Explícita dos Serviços Ecossistêmicos da Floresta Am...
 
"Quantificando localmente os Benefícios Providos pela Vegetação Nativa ao Set...
"Quantificando localmente os Benefícios Providos pela Vegetação Nativa ao Set..."Quantificando localmente os Benefícios Providos pela Vegetação Nativa ao Set...
"Quantificando localmente os Benefícios Providos pela Vegetação Nativa ao Set...
 
"Crédito Rural no Brasil"
"Crédito Rural no Brasil""Crédito Rural no Brasil"
"Crédito Rural no Brasil"
 
"Desafios do Setor Bancário"
"Desafios do Setor Bancário""Desafios do Setor Bancário"
"Desafios do Setor Bancário"
 
"Programa ABC - Agricultura de Baixo Carbono"
"Programa ABC - Agricultura de Baixo Carbono""Programa ABC - Agricultura de Baixo Carbono"
"Programa ABC - Agricultura de Baixo Carbono"
 
"Crédito e seguro rural"
"Crédito e seguro rural""Crédito e seguro rural"
"Crédito e seguro rural"
 
"Restauração de Pastagens Degradadas e Sistemas de Integração Lavoura-Pecuári...
"Restauração de Pastagens Degradadas e Sistemas de Integração Lavoura-Pecuári..."Restauração de Pastagens Degradadas e Sistemas de Integração Lavoura-Pecuári...
"Restauração de Pastagens Degradadas e Sistemas de Integração Lavoura-Pecuári...
 
"Custo de restauração florestal no Brasil e o cumprimento do Código Florestal"
"Custo de restauração florestal no Brasil e o cumprimento do Código Florestal""Custo de restauração florestal no Brasil e o cumprimento do Código Florestal"
"Custo de restauração florestal no Brasil e o cumprimento do Código Florestal"
 
"Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil"
"Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil""Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil"
"Acordo de Paris e as NDCs: Percepções do modelo GLOBIOM-Brasil"
 
"O Mercado de Cotas de Reservas Ambientais (CRAs)
"O Mercado de Cotas de Reservas Ambientais (CRAs)"O Mercado de Cotas de Reservas Ambientais (CRAs)
"O Mercado de Cotas de Reservas Ambientais (CRAs)
 
"Decifrando o Código Florestal Brasileiro"
"Decifrando o Código Florestal Brasileiro""Decifrando o Código Florestal Brasileiro"
"Decifrando o Código Florestal Brasileiro"
 
"O Código Florestal de 2012: marcos institucional e jurídico"
"O Código Florestal de 2012: marcos institucional e jurídico""O Código Florestal de 2012: marcos institucional e jurídico"
"O Código Florestal de 2012: marcos institucional e jurídico"
 
"O Programa de Investimento Florestal (FIP)
"O Programa de Investimento Florestal (FIP)"O Programa de Investimento Florestal (FIP)
"O Programa de Investimento Florestal (FIP)
 
"KfW - REM (Redd Early Movers)"
"KfW - REM (Redd Early Movers)""KfW - REM (Redd Early Movers)"
"KfW - REM (Redd Early Movers)"
 
"Desafios Econômicos e Ambientais das Cadeias Produtivas da Carne e da Soja"
"Desafios Econômicos e Ambientais das Cadeias Produtivas da Carne e da Soja""Desafios Econômicos e Ambientais das Cadeias Produtivas da Carne e da Soja"
"Desafios Econômicos e Ambientais das Cadeias Produtivas da Carne e da Soja"
 
"Indicadores de Sustentabilidade"
"Indicadores de Sustentabilidade""Indicadores de Sustentabilidade"
"Indicadores de Sustentabilidade"
 
"A cadeia Produtiva da Carne"
"A cadeia Produtiva da Carne""A cadeia Produtiva da Carne"
"A cadeia Produtiva da Carne"
 
"Sustentabilidade na Cadeia da Soja Brasileira"
"Sustentabilidade na Cadeia da Soja Brasileira""Sustentabilidade na Cadeia da Soja Brasileira"
"Sustentabilidade na Cadeia da Soja Brasileira"
 
“Abordagens jurisdicionais para redução do desmatamento: o Programa PCI e o G...
“Abordagens jurisdicionais para redução do desmatamento: o Programa PCI e o G...“Abordagens jurisdicionais para redução do desmatamento: o Programa PCI e o G...
“Abordagens jurisdicionais para redução do desmatamento: o Programa PCI e o G...
 
“Capacidades dos sistemas de monitoramento do Inpe para políticas públicas r...
 “Capacidades dos sistemas de monitoramento do Inpe para políticas públicas r... “Capacidades dos sistemas de monitoramento do Inpe para políticas públicas r...
“Capacidades dos sistemas de monitoramento do Inpe para políticas públicas r...
 

Último

Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsHyundai Motor Group
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 

Último (20)

Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptxVulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 

The determinants of the sharp improvement in income distribution in Brazil

  • 1. The determinants of the sharp improvement in income distribution in Brazil Ricardo Paes de Barros Rosane Mendonça Raquel Tsukada Republic of Uganda Delegation Visit Brasília, 27 March 2012
  • 2. 1. Evaluating the magnitude of the decline in poverty and inequality
  • 3. Evolution of extreme poverty rate in Brazil: 1990-2009 25 22.6 22.9 23 Cardoso Lula 22.1 Percentage of the population below 21 Real Plan the extreme poverty line 19 17.7 17.8 17.4 17.4 17.5 17.3 16.8 16.5 17 15.1 15 13.3 13 10.8 11 Millennium Development Goal for 2015 10.3 8.8 9 8.4 7 5 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
  • 4. Evolution of extreme poverty in Brazil: 1999-2009 20 19 Reduction in extreme poverty necessary to achieve the MDG by 2015 18 Percentage of the population below Extreme poverty in 2001 17 the extreme poverty line 16 4.0 15 14 13 12 11 Millennium Development Goal for 2015 Total reduction in 10 9.1 extreme poverty 9 Extreme poverty in 2009 8 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
  • 5. Evolution of extreme poverty in Brazil: 1999-2009 20 19 Reduction in extreme poverty necessary to achieve the MDG by 2015 18 Percentage of the population below Extreme poverty in 2001 17 the extreme poverty line 16 4.0 15 5.5 Poverty evolution without growth 14 13 Reduction in extreme poverty due to the reduction in inequality 12 11 Millennium Development Goal for 2015 Total reduction in 10 9.1 extreme poverty 9 Extreme poverty in 2009 8 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
  • 6. Evolution of the degree of inequality in per capita income: Brazil, 1995-2009 0.65 0.634 0.64 0.63 0.615 0.62 0.612 0.61 0.599 Gini coefficient 0.599 0.602 0.600 0.60 0.588 0.589 0.600 0.598 0.592 0.594 0.59 0.596 0.580 0.587 0.594 0.587 0.58 0.582 0.581 0.57 0.569 0.566 0.56 0.560 0.552 0.55 0.544 0.54 0.539 0.53 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009
  • 7. Average annual growth rate in per capita income by tenths of the distribution: Brazil, 2001-2009 9 Bottom 10% 8 7 Annual growth rate (%) 6 5 4 Top 10% 3 Average 2 1 0 First Second Third Fourth Fifth Sixth Seventh Eighth Ninth Tenth
  • 8. Distribution of countries according to the average per capita GDP growth rate between 1990 and 2005 15 13 Average annual growth rate (%) 11 China 9 7 Brazilian bottom 10% 5 3 Germany 1 Brazilian top 10% -1 -3 Haiti -5 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 Distribution of countries (%)
  • 9. 2. Expansion of opportunities
  • 10. Reduction in infant mortality adjusted for inequality of opportunity: Brazil 1996-2006 Postinfant mortality (1 to 5 years) Faster than Slower than required by the required by the Postneonatal mortality MDG MDG Reduction to 1/2 in 25 years Neonatal mortality Remaining level of mortality Reduction Reduction Child mortality (up to 5 to a 1/3 in years) 25 years Infant mortality (first 2006 1996 year) 0 10 20 30 40 50 60 70 80 90 100 Infant mortality at the end as a percentage of the initial level
  • 11. Reduction in malnutrition and lack of access to basic health services: Brazil, 1996-2006 Malnutrition, underweight: weight for age Faster than Slower than required by the required by the MDG MDG Malnutrition, wasting: Reduction weight for height to 1/2 in 25 years Malnutrition, stunting: height for age Reduction to 1/3 in 25 years Postnatal care Remaining deficits Prenatal care 2006 Reduction 1996 0 10 20 30 40 50 60 70 80 90 100 Malnutrition and lack of access to basic heath at the end as a percentage of the initial level
  • 12. Reduction in educational deficit adjusted for the inequality of opportunity: Brazil 1999-2009 Has not completed secondary school at age 18 Has not completed eighth grade at age 16 Faster than Slower than required by the required by the Has not completed eighth MDG MDG grade at age 15 Has not completed forth grade at age 11 Reduction Not attending school (15-17 to 1/2 in 25 Remaining educational deficit years olds) years Not attending school (7-14 years olds) Reduction Not attending school (5-6 to a 1/3 in 25 years Reduction years olds) Child labor (10-14 years 1999 2009 olds) 0 10 20 30 40 50 60 70 80 90 100 Educational deficit at the end as a percentage of the initial level
  • 13. Reduction in deficits in access to information, water and sanitation adjusted for the inequality of opportunity: Brazil 1999-2009 Lack of adequate acess to water and sanitation Faster than Slower than required by the required by the MDG MDG Lack of adequate acess to sanitation Reduction to a 1/2 in 25 years Lack of adequate acess to water Remaining deficit in access Reduction to a 1/3 in 25 years Adequate access to information 2009 1999 Reduction 0 10 20 30 40 50 60 70 80 90 100 Deficit in access to information, water and sanitation at the end as a percentage of the initial level
  • 15. Non labor income Labor income per per capita per adult adult working income y a. o u.w Percentage of adults Percentage of adults working
  • 16. 4. The Contribution of the Brazilian Transfer Programmes
  • 17. Brazilian Income Transfer Programmes I. Bolsa Família Conditional cash transfer programme to poor families, conditional on children attending school and health care visits Small per capita transfer Number of beneficiaries in 2009: 13 millions families (around 35 million individuals) Annual expenditure in 2009: R$ 10 billions (0,4% do PIB)
  • 18. Brazilian Income Transfer Programmes II. Pension to Poor Elderly or Disabled People (BPC) Income transfer to poor elderly (> 64) and disabled people One minimum wage transfer Number of beneficiaries in 2009: 3,5 million Annual expenditure in 2009: R$ 18,7 billions (0,6% do PIB)
  • 19. Brazilian Income Transfer Programmes III. Rural Pension Income transfer to rural poor old people One minimum wage transfer Number of beneficiaries in 2009: 8,1 millions Annual expenditure in 2009: R$ 44 billions (1,7% do PIB)
  • 20. Distribution of Bolsa Família beneficiaries by percentile of the distribution of per capita income: Brazil 5,0 Red de Oportunidades - Panama 4,5 4,0 SUF - Chile 3,5 3,0 percentage 2,5 Bolsa Família 2,0 1,5 1,0 0,5 Oportunidades 0,0 0 10 20 30 40 50 60 70 80 90 100 percentiles of the distribution Source: Estimates based on Pesquisa Nacional por amostra deDomicílios (PNAD) from 2004 to 2008 and Encuesta de Hogares, Panama, 2008 and CASEN, Chile, 2003. Note1: The per capita income that defined the hundreths of population excludes the income of the benefit.
  • 21. Distribution of Bolsa Família beneficiaries by percentile of the distribution of per capita income: Brazil 4,00 3,50 2007 3,00 2004 2,50 percentage 2,00 1,50 1,00 0,50 0,00 0 10 20 30 40 50 60 70 80 90 100 percentiles of the distribution Source: Estimates based on Pesquisa Nacional por amostra deDomicílios (PNAD) from 2004 to 2007.
  • 22. Determinants of Bolsa Família targeting Percentage of the benefits going to families Contribution Targeting mechanism with per capita income (%) below R$120 Without any targeting mechanism (random allocation) 19,8 Targeting solely based on municipal cotas proportional to poverty 32,0 33 Random selection from the Cadastro Único 55,0 62 Targeting using the information on income from Cadastro Único 57,1 6
  • 23. The contribution of transfers to the recent decline in income inequality and poverty: Brazil, 2001-2007 Percentage Percentage Extreme Extreme Gini Poverty gap Poverty of extremely Income sources of poor poverty gap poverty coefficient (P1) severity (P2) poor (P0) (P1) severity (P2) (P0) Total transfers 49 42 51 57 52 66 79 Public transfers 49 41 50 57 51 67 82 Pensions and retirement benefits 28 30 25 22 22 19 18 Benefício de Prestação Continuada (BPC) 10 6 9 11 7 14 19 Bolsa Família 13 3 15 25 19 39 57 Source: Estimations produced based on the Pesquisa Nacional por Amostra de Domicílios (Pnad) 2001 and 2007.
  • 24. Extreme poverty by age: Brazil, 2009 50 45 Percentage of the population below the 40 35 extreme poverty line 30 25 20 15 Excluding public transfers 10 Average including transfers 5 Including public transfers 0 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 Age (years)
  • 25. Continuity of results, not necessarily of policies Extreme poverty by age after transfers: Brazil, 2009 20 18 16 Percentage of the population below the 14 extreme poverty line 12 10 Average 8 6 4 2 0 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 Age (years)
  • 26. 5. The Productive Inclusion of the Poor
  • 27. Table 1: Characteristics of the income growth of the 20% poorest: Brasil, 2003-2009 Variation Indicator 2003 2009 Absolut Relative Annual growth (R$/month) (%) rate (%) Income per capita (R$/month) 62 100 39 63 8,4 Percentage of adults (%) 55,0 58,0 3,0 5,5 0,9 Non work-related income per adult (R$/month) 25 49 25 100 12,3 Work-related income per adult (R$/month) 87 123 35 40 5,8 Percentage of the family income originated from 78,0 71,0 -7,0 -9,0 ..... work (%) Income per capita if only work-related income ..... 81* 19 31 4,7 had grown (R$/month) Source: Estimates obtained from the household survey Pesquisa Nacional por Amostra de Domicílios (PNAD) in 2003 and 2009. Note: * Income per capita if w ork-related income w ere as of 2009, all else constant, in 2003 values.
  • 28. The Productive Inclusion of the Poor  Brazil has demonstrated a significant capacity of promoting the productive inclusion of its most vulnerable segments.  Conditions for a successful productive inclusion:  Availability of good opportunities  Guarantee for effective access  Protagonism
  • 29.
  • 30. The Productive Inclusion of the Poor  For the effective eradication of extreme poverty is necessary that both private and public sectors contribute as much as possible to the productive inclusion of the low-income population.  The public sector must complement the initiatives implemented by the private sector to generate productive opportunities in communities with less-dynamic economies:  Direct creation of productive opportunities  Legislation, supervision and tripartite agreements  Promotion of the local economy
  • 31. The Productive Inclusion of the Poor  Regarding the vital role of public policies: it is important to guarantee that the poorest workers will have effective access to the available productive opportunities.  Providing information about locally available opportunities  Training and overcoming discrimination  Guaranteeing minimum conditions
  • 32. 6. The magnitude of the economic crisis in Brazil and the nature of the adjustment process in the labor market
  • 33. Real GDP: Brazil, 2008 and 2009 150 145 140 REal GDP (1995=100) 135 130 Current 125 Previous year Average of three previous years 2008 2009 120 3rd quarter 4th quarter 1st quarter 2nd quarter
  • 34. Real GDP - Secondary sector: Brazil, 2008 and 2009 140 135 130 REal GDP (1995=100) 125 120 Current 115 Previous year Average of three previous years 2008 2009 110 3rd quarter 4th quarter 1st quarter 2nd quarter
  • 35. Accumulated net creation of formal jobs: Brazil, 2000-2010 12,0 11,0 10,0 9,0 Accumulated job creation (millions) 8,0 7,0 6,0 5,0 4,0 3,0 2,0 1,0 0,0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
  • 36. Accumulated net creation of formal jobs: Brazil, 2000-2010 12,0 11,0 10,0 9,0 Accumulated job creation (millions) 8,0 7,0 6,0 5,0 4,0 3,0 2,0 1,0 0,0 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
  • 37. Monthly job net creation relative to the average for the previous five years: Brazil, 2008-09 200 150 100 Difference in job creation (thousand jobs per month) 50 0 -50 -100 -150 -200 -250 -300 -350 -400 -450 2008 2009 -500 October November December January February March April May June July August September
  • 38. Monthly job creation relative to the average for the previous five years: Brazil , 2008-09 100 80 Primary Secondary 60 Difference in job creation (thousand jobs per month) Superior 40 20 0 -20 -40 -60 -80 -100 -120 2008 2009 -140 October November December January February March April May June July August September
  • 39. Monthly job creation and job destruction: Brazil, 2008-09 1500 1450 job creation and destruction (thousand jobs per month) 1400 1350 1300 1250 1200 1150 Creation 1100 Destruction 1050 2008 2009 1000 October November December January February March April May June July August September
  • 40. Strategic Themes - SSAE ERRADICATION OF EXTREME SOCIAL, SPATIAL AND SYMBOLIC POVERTY VIA MOST EFFECTIVE USE INTEGRATION IN LARGE CITIES OF EXISTING POLICY AND SOCIAL PROGRAMS PROMOTION AND CONSOLIDATION HOW TO DEVELOP A NATIONAL OF A PRODUCTIVE AND DYNAMIC SYSTEM OF EVALUATION OF NEW MIDDLE CLASS, RISK-FREE OF PUBLIC POLICY RETURNING TO POVERTY OPORTUNITY FOR A FULL AND FORMULATING STRATEGIES FOR COMPREHENSIVE INCLUSIVE DEVELOPMENT WITH DEVELOPMENT IN EARLY STATES CHILDHOOD OPORTUNITIES FOR A HEALTHY AND STRESSING THE PROMOTION OF PRODUCTIVE TRANSITION TO ADULT PRINCIPLES IN THE DESIGN OF LIFE SOCIAL POLICIES WITHOUT LIMITING THE RESULTS