Apresentação de José Eduardo Malta de Sá Brandão, Diretor Adjunto, Diretoria de Estudos e Relações Econômicas e Políticas Internacionais, Ipea, proferida no Seminário Cooperação Internacional: Financiamento para o Desenvolvimento, realizado em 12 e 13 de dezembro de 2018, em Brasília.

1. Fluxos de Recursos da Ajuda Oficial
ao Desenvolvimento Destinado ao Brasil e
o Desenvolvimento Sustentável
13/12/2018
José Eduardo Malta de Sá Brandão

2.  Although Brazil is a recipient of development cooperation,
there is no national monitoring for transparency of
resources received
 It is not possible to identify which resources are being
earmarked for projects associated with the 2030
sustainable development agenda
 Although the volume of resources is substantial, there are
no qualitative impact analyzes of the projects financed.
Main Issues

3. Research Objectives
•Develop a prospective study about
the Official Development
Assistance (ODA) received from
Brazil, classifying them based on a
taxonomy proposal with focus on
the goals of the Sustainable
Development Objectives.

4. Methodological Issues
• Main Issue:
• How to analyze the International resources flow
received in the context of SDG and its targets?
• Specific Issues:
• How much aid is earmarked for SDG?
• How to associate the received resources with the
SDG and targets?

5. Part of DAC List of ODA
Recipients
5

6. (Source: OECD)
ODA to Brazil

7. Top Donors to Brazil
(Source: OECD)

8. ODA Reports
• Adaptation for New Aggregated Data

9. ODA Agregated Data
• From Global Environment Objectives
• Biodiversity
• Climate Change Mitigation
• Climate Change Adaptation
• Desertification
• Environment
• From Main Sectors
• Education
• Health and Population
• Other infrastructures and social services
• Economic infrastructure and services
• Production
• Multisectoral
• Debt related actions
• Humanitarian help
• Other and not specified / not allocated

10. Global Environment
Objectives - Brazil
Marker
Biodiversity Climate Change
Mitigation
Climate Change
Adaptation
Desertification Environment
Year
2002 36,886 3,240 .. 0,084 77,578
2003 19,870 1,623 .. 0,707 84,676
2004 246,585 0,246 .. .. 260,754
2005 36,168 2,803 .. 0,122 68,130
2006 8,417 5,097 .. 1,671 55,689
2007 21,301 15,228 .. 0,781 49,596
2008 34,299 30,652 .. 3,920 64,416
2009 56,581 189,741 .. 2,558 140,751
2010 421,990 435,689 8,950 5,478 476,227
2011 422,071 310,857 6,975 2,874 588,056
2012 95,064 753,429 16,823 2,307 1.227,854
2013 22,327 172,794 7,490 2,924 174,682
2014 34,604 742,406 3,375 1,310 504,817
2015 76,680 467,129 6,955 0,433 223,899
2016 27,006 173,718 2,205 0,040 212,822
(Source: OECD)

11. Main ODA Sector
Classification - Brazil
16.3
1.48
7.52
28.34
7.9
37.22
0
0.41
1.1
% Resource Allocation - Brazil
Education
Health and Population
Other infrastructures and social
services
Economic infrastructure and
services
Production
Multisectoral
Debt related actions

12. SDG x Main Sectors
# Goal
1Poverty Eradication
2Zero Hunger and Sustainable Agriculture
3Health and wellness
4Quality education
5Gender equality
6Clean Water and Sanitation
7Clean and Affordable Energy
8Decent Work and Economic Growth
9Industry, Innovation and Infrastructure
10Reducing Inequalities
11Sustainable Cities and Communities
12Responsible Consumption and Production
13Action Against Global Climate Change
14Life on the Water
15Earth Life
16Peace, Justice and Effective Institutions
17
Partnerships and Means of
Implementation
Agregated Sector
Education
Health and Population
Other infrastructures and social services
Economic infrastructure and services
Production
Multisectoral
Debt related actions
Humanitarian help
Other and not specified / not allocated

13. OECD Common Reporting
Standard (CRS)
Year 2008 2009 2010 2011 2012 2013 2014 2015 2016
Sector
1000: Total All Sectors 304,093 504,673 839,857 819,902 1.969,437 413,651 997,095 753,157 415,632
450: Total Sector Allocable 283,653 486,963 828,149 810,557 1.956,578 403,131 987,255 740,019 410,980
100: I. Social Infrastructure & Services, Total 160,367 192,481 357,920 457,558 956,390 164,241 161,474 149,398 144,088
110: I.1. Education, Total 67,440 83,503 88,442 85,852 116,474 95,775 100,543 93,399 94,549
111: I.1.a. Education, Level Unspecified, Total 22,888 27,672 22,941 28,117 29,989 21,748 25,663 16,741 28,910
11110: Education policy and administrative
management 3,011 6,358 4,680 4,305 6,876 4,656 6,108 2,700 5,015
11120: Education facilities and training 14,496 16,209 13,828 17,855 18,282 11,194 17,906 12,544 21,614
11130: Teacher training 4,960 4,906 4,239 5,775 4,832 5,830 1,648 1,495 2,268
11182: Educational research 0,420 0,199 0,194 0,182 .. 0,068 .. 0,002 0,013
112: I.1.b. Basic Education, Total 2,693 3,810 4,256 2,170 3,983 3,624 2,234 2,128 1,478
11220: Primary education 1,030 1,242 2,322 1,450 2,627 2,295 0,841 0,582 0,894
11230: Basic life skills for youth and adults 1,470 1,966 1,407 0,626 1,287 1,147 0,966 1,366 0,369
11240: Early childhood education 0,193 0,602 0,527 0,094 0,069 0,182 0,426 0,180 0,215
113: I.1.c. Secondary Education, Total 2,338 3,635 4,424 2,194 22,719 8,776 6,730 2,413 2,912
11320: Secondary education 0,835 1,044 1,472 0,751 20,283 6,226 2,183 2,128 2,317
11330: Vocational training 1,502 2,591 2,953 1,442 2,436 2,550 4,547 0,285 0,595
114: I.1.d. Post-Secondary Education, Total 39,522 48,385 56,820 53,371 59,783 61,628 65,916 72,117 61,249
11420: Higher education 39,133 47,938 55,703 52,700 58,390 59,732 65,532 69,510 60,122
11430: Advanced technical and managerial
training 0,389 0,447 1,118 0,671 1,392 1,895 0,384 2,607 1,127
120: I.2. Health, Total 11,183 6,309 13,576 12,863 5,796 5,765 2,285 5,920 8,655
121: I.2.a. Health, General, Total 4,437 1,580 5,519 3,545 2,987 1,997 0,925 5,273 5,079

14. Taxonomy and
Classification
• Different classifications for economic/cooperation
sectors
• OECD: Common Reporting Standard (CRS)
• United Nations: International Standard Industrial
Classification of All Economic Activities (ISIC)
• Country own classification
• How to align with SDGs ?

15. Colombian Experience
• Classification of SDG based in 3 data sources
perspectives
1. Data from traditional and emerging donors
• AidData monitors development funding from more than 200
traditional and emerging donors in our main database. Between
2000 and 2013 these donors contributed $ 53 billion dollars to
the SDGs in Colombia.
2. Data of the Aid Information Management System – AIMS
• The Colombian Aid Information Administration System collects
data from different donors, including bilateral and multilateral
partners as well as foundations and NGOs. These data report
$696 million dollars allocated to the SDGs by more than 80
donors between 2003 and 2012.
3. Data from the National Budget of Colombia
• National budgets are a source of resources increasingly used for
the SDGs. In 2015, Colombia spent more than $ 13 billion on
projects relevant to the SDGs.

16. 1 - AidData Source

17. 2 – AIMS Source

18. 3 – Budget Source

19. Exercice with AidData
Brazil: 2000 - 2013
All Donors
SDG Total
1 102,648,063
2 351,148,202
3 288,131,679
4 972,065,008
5 50,394,265
6 1,021,631,971
7 748,517,368
8 205,432,620
9 958,118,655
10 55,865,380
11 839,611,270
12 2,277,345
13 2,528,175
14 17,860,243
15 1,354,078,037
16 1,639,333,374
17 102,570,307
Total 8,712,211,961
France
SDG Total
1 16,635,346
2 135,982,969
3 60,385,329
4 258,404,333
5 588
6 93,695,106
7 133,112,487
8 6,741,010
9 73,458,612
10 16,094,289
11 261,660,696
12 1,140,505
13 -
14 1,639,714
15 5,903,769
16 337,527,022
17 4,933,568
Total 1,407,315,341
Source: AidData - https://www.aiddata.org/data/financing-to-the-sdgs-dataset

20. Issues about AidData
• Old Data – 2000/2013
• Requires relying on data source classification
• Requires data validation
• It needs to be analyzed the decomposition of resources
between the ODS
• Does not reach SDG targets
• New Data - 2014/2016
• Not classified

21. Conclusions
• Classification by sector does not meet SDG
requirements
• CRS / ISIC / CNAE
• AidData methodology can be useful
• Requires manual data validation
• The use of the new ODA SDG Field for new projects
will simplify the process
• Requires relying on data source classification

22. The End ?
13/12/2018
José Eduardo Malta de Sá Brandão
je.brandao@ipea.gov.br