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Financing the SDGs in Middle-
Income Europe and Central Asia
Ben Slay
Senior advisor
UNDP Regional Bureau
for Europe and CIS
4 October 2018
2015—Inter-governmental conferences
Sustainable
Development
Summit
(UNGA)
Sendai Disaster
Risk Reduction
Conference
Paris Climate
Change
Summit
Addis Ababa
Finance for
Development
Conference
Key principles:
1) Coherence
2) Sustainability
3) Risk and resilience
4) Leave no one behind
5) ODA is not enough
Potential finance for the
SDGs, Sendai implementation
• Key questions:
– Finance demand: How much will this cost?
– Finance supply:
• How much money is out there?
• How much of “development finance” can be treated as “potential
SDG (or Sendai) finance”?
• Key problems:
– These questions are usually answered via global estimates
. . . What about national estimates?
– Demand side: Until SDGs, Sendai are “nationalized”, they
can’t really be costed
• Supply side: Potential funding/financing availability
can be estimated
“Traditional” finance for
development approaches
Global finance for development flows
Source: <<Opening Doors: Financing the UN Development System>>, p. 55
Problems with such approaches
• Financing development is not only about net transfers of
capital from developed to developing countries
– It’s also about boosting development potential, competitiveness
• Not all developing economies are net recipients of
international capital flows (current-account deficits)
– Azerbaijan, Kazakhstan, Turkmenistan, Uzbekistan are net
international capital suppliers (current-account surpluses)
• SDG, DRR finance is not only external
– Domestic financial flows (e.g., government budget) matter—but
are not captured
• Financial services also matter—but are not captured
– Particularly relevant for insurance ☺
• Who are the national stakeholders, partners?
To address these weaknesses,
we need a narrative that can:
• Help finance national achievement of SDGs,
implementation of national Sendai DRR
strategies
• Be supported by national data
• Include public finance data
• Be understandable to non-specialists
This presentation seeks to build such a narrative
Methodological challenges—
and some answers
Questions (challenges) Answers
Combining international (BoP)
and national (fiscal) data 
issues of:
• Comparing/blending “apples
and oranges”
• Avoiding double counting
Double counting avoided by:
• Not counting domestic investment
• Measuring government by budget revenues
(not expenditures)
International (BoP) data: Gross
or net?
• Why?
Gross financing data used, because:
• The numbers are much “better behaved”
• UNDP: closer to inflows than outflows
Which flows do (not) contribute
to sustainable development?
• Especially important for
government budget finance
“Albanian rule of thumb”
• Finance Ministry consultants estimated that
60% of Albania’s multi-year 2015-2017
budget can be linked to specific SDGs
• 60% of government budget = “SDG finance”
Data sources
• National balance of payments statistics:
– International capital flow data
– International financial service transactions data
• (Re)insurance
– Remittances • OECD-DAC: ODA data
• IMF-World Economic
Indicators data base:
Domestic public finance
data
Exclusive reliance on
publicly available data
Albania
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
17%
1%
6% 1%
12%
6%
58%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Armenia
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
11%
2%
14%
0%
37%
7%
29%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Azerbaijan
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
15% 3%
19%
1%
6%
1%
56%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Belarus
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
12%
1%
15%
1%
6%
1%
64%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Georgia
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
17%
3%
0%
2%
15%
9%
54%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Kazakhstan
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
32%
4%
-1%
1%
0%0%
63%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Kosovo*
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
(* as per UNSCR 1244 (1999))
10% 5%
5% 1%
20%
15%
43%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Kyrgyzstan
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
12%
0%
5% 0%
40%12%
30%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Macedonia, fYR
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
11% 4%
9%
1%
12%
6%
57%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Moldova
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
4%
0%
19%
0%
35%
8%
32%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Montenegro
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
21%
3%
4%
2%
12%
3%
56%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Serbia
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
10%
3% 2%
1%
12%
3%
69%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Turkey
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
4% 4%
6%
1%
1% 1%
84%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
Ukraine
Shares of potential SDG finance from all sources (annual averages, 2008-2016)
9%
2%
6% 2%
15%
2%
64%
FDI Stocks and bonds Bank loans Financial services
Remittances ODA State budget
By source of finance: State budget
(* as per UNSCR 1244 (1999))
Annual averages (2008-
2016), shares of total
finance (from all sources)
84%
69%
64% 64% 63%
58% 57% 56% 56% 54%
43%
32% 30% 29%
By source of SDG finance: Remittances
Annual averages (2008-
2016), shares of total
finance (from all sources)
(* as per UNSCR 1244 (1999))
40%
37%
35%
20%
15% 15%
12% 12% 12%
6% 6%
3%
1% 0%
By source of finance: ODA
Annual averages (2008-
2016), shares of total
finance (from all sources)
(* as per UNSCR 1244 (1999))
15%
12%
9%
8%
7%
6% 6%
3% 3%
2%
1% 1% 1% 0%
Commercial financial flows
Annual averages (2008-2016), shares of
total SDG finance (from all sources)
(* as per UNSCR 1244 (1999))
0%
10%
20%
30%
40%
15%
32%
12%
21%
11% 11%
17%
4%
17%
10% 9%
12% 10%
4%
3%
4%
1%
3%
2%
4%
1%
3%
5%
2%
0%
3%
4%
19%
-1%
15%
4%
14% 9% 6%
19%
5%
6%
5% 2%
6%
FDI
Stock and bonds
Bank loans
Financial services
38% 37%
30% 29%
27%
26% 25% 24% 23%
21%
18% 18%
16% 15%
Critical next step: Unpacking
domestic public finance
15%
13% 13% 13%
11%
9%
9%
7%
5%
4%
• Albanian example:
– 2015-2017 budget
reviewed
– 61% of budget lines
could be linked to
individual SDGs
Source: Albania <<MAPS>> report, p. 87
• Could/should
something similar be
done in your
country?
• Should a similar
exercise be
attempted for
commercial flows?
Some take-aways
• State budget finance is critical
– More sophisticated treatment of fiscal data needed
• ODA still matters in some places
– Especially for global leaders in remittance inflows
(Kyrgyzstan, Armenia, Moldova, Kosovo, Georgia)
• This underscores the importance of “blending”
remittances with ODA, budget finance
• On commercial flows:
– FDI, bank loans are larger than flows associated with stocks
and bonds, financial services
– In economies with largest commercial flows (Azerbaijan,
Kazakhstan), most of this goes to the extractive sector
Thank you very much!
(ben.slay@undp.org)

More Related Content

2018 DRR Financing 6.1 Ben Slay

  • 1. Financing the SDGs in Middle- Income Europe and Central Asia Ben Slay Senior advisor UNDP Regional Bureau for Europe and CIS 4 October 2018
  • 2. 2015—Inter-governmental conferences Sustainable Development Summit (UNGA) Sendai Disaster Risk Reduction Conference Paris Climate Change Summit Addis Ababa Finance for Development Conference Key principles: 1) Coherence 2) Sustainability 3) Risk and resilience 4) Leave no one behind 5) ODA is not enough
  • 3. Potential finance for the SDGs, Sendai implementation • Key questions: – Finance demand: How much will this cost? – Finance supply: • How much money is out there? • How much of “development finance” can be treated as “potential SDG (or Sendai) finance”? • Key problems: – These questions are usually answered via global estimates . . . What about national estimates? – Demand side: Until SDGs, Sendai are “nationalized”, they can’t really be costed • Supply side: Potential funding/financing availability can be estimated
  • 4. “Traditional” finance for development approaches Global finance for development flows Source: <<Opening Doors: Financing the UN Development System>>, p. 55
  • 5. Problems with such approaches • Financing development is not only about net transfers of capital from developed to developing countries – It’s also about boosting development potential, competitiveness • Not all developing economies are net recipients of international capital flows (current-account deficits) – Azerbaijan, Kazakhstan, Turkmenistan, Uzbekistan are net international capital suppliers (current-account surpluses) • SDG, DRR finance is not only external – Domestic financial flows (e.g., government budget) matter—but are not captured • Financial services also matter—but are not captured – Particularly relevant for insurance ☺ • Who are the national stakeholders, partners?
  • 6. To address these weaknesses, we need a narrative that can: • Help finance national achievement of SDGs, implementation of national Sendai DRR strategies • Be supported by national data • Include public finance data • Be understandable to non-specialists This presentation seeks to build such a narrative
  • 7. Methodological challenges— and some answers Questions (challenges) Answers Combining international (BoP) and national (fiscal) data  issues of: • Comparing/blending “apples and oranges” • Avoiding double counting Double counting avoided by: • Not counting domestic investment • Measuring government by budget revenues (not expenditures) International (BoP) data: Gross or net? • Why? Gross financing data used, because: • The numbers are much “better behaved” • UNDP: closer to inflows than outflows Which flows do (not) contribute to sustainable development? • Especially important for government budget finance “Albanian rule of thumb” • Finance Ministry consultants estimated that 60% of Albania’s multi-year 2015-2017 budget can be linked to specific SDGs • 60% of government budget = “SDG finance”
  • 8. Data sources • National balance of payments statistics: – International capital flow data – International financial service transactions data • (Re)insurance – Remittances • OECD-DAC: ODA data • IMF-World Economic Indicators data base: Domestic public finance data Exclusive reliance on publicly available data
  • 9. Albania Shares of potential SDG finance from all sources (annual averages, 2008-2016) 17% 1% 6% 1% 12% 6% 58% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 10. Armenia Shares of potential SDG finance from all sources (annual averages, 2008-2016) 11% 2% 14% 0% 37% 7% 29% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 11. Azerbaijan Shares of potential SDG finance from all sources (annual averages, 2008-2016) 15% 3% 19% 1% 6% 1% 56% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 12. Belarus Shares of potential SDG finance from all sources (annual averages, 2008-2016) 12% 1% 15% 1% 6% 1% 64% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 13. Georgia Shares of potential SDG finance from all sources (annual averages, 2008-2016) 17% 3% 0% 2% 15% 9% 54% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 14. Kazakhstan Shares of potential SDG finance from all sources (annual averages, 2008-2016) 32% 4% -1% 1% 0%0% 63% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 15. Kosovo* Shares of potential SDG finance from all sources (annual averages, 2008-2016) (* as per UNSCR 1244 (1999)) 10% 5% 5% 1% 20% 15% 43% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 16. Kyrgyzstan Shares of potential SDG finance from all sources (annual averages, 2008-2016) 12% 0% 5% 0% 40%12% 30% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 17. Macedonia, fYR Shares of potential SDG finance from all sources (annual averages, 2008-2016) 11% 4% 9% 1% 12% 6% 57% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 18. Moldova Shares of potential SDG finance from all sources (annual averages, 2008-2016) 4% 0% 19% 0% 35% 8% 32% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 19. Montenegro Shares of potential SDG finance from all sources (annual averages, 2008-2016) 21% 3% 4% 2% 12% 3% 56% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 20. Serbia Shares of potential SDG finance from all sources (annual averages, 2008-2016) 10% 3% 2% 1% 12% 3% 69% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 21. Turkey Shares of potential SDG finance from all sources (annual averages, 2008-2016) 4% 4% 6% 1% 1% 1% 84% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 22. Ukraine Shares of potential SDG finance from all sources (annual averages, 2008-2016) 9% 2% 6% 2% 15% 2% 64% FDI Stocks and bonds Bank loans Financial services Remittances ODA State budget
  • 23. By source of finance: State budget (* as per UNSCR 1244 (1999)) Annual averages (2008- 2016), shares of total finance (from all sources) 84% 69% 64% 64% 63% 58% 57% 56% 56% 54% 43% 32% 30% 29%
  • 24. By source of SDG finance: Remittances Annual averages (2008- 2016), shares of total finance (from all sources) (* as per UNSCR 1244 (1999)) 40% 37% 35% 20% 15% 15% 12% 12% 12% 6% 6% 3% 1% 0%
  • 25. By source of finance: ODA Annual averages (2008- 2016), shares of total finance (from all sources) (* as per UNSCR 1244 (1999)) 15% 12% 9% 8% 7% 6% 6% 3% 3% 2% 1% 1% 1% 0%
  • 26. Commercial financial flows Annual averages (2008-2016), shares of total SDG finance (from all sources) (* as per UNSCR 1244 (1999)) 0% 10% 20% 30% 40% 15% 32% 12% 21% 11% 11% 17% 4% 17% 10% 9% 12% 10% 4% 3% 4% 1% 3% 2% 4% 1% 3% 5% 2% 0% 3% 4% 19% -1% 15% 4% 14% 9% 6% 19% 5% 6% 5% 2% 6% FDI Stock and bonds Bank loans Financial services 38% 37% 30% 29% 27% 26% 25% 24% 23% 21% 18% 18% 16% 15%
  • 27. Critical next step: Unpacking domestic public finance 15% 13% 13% 13% 11% 9% 9% 7% 5% 4% • Albanian example: – 2015-2017 budget reviewed – 61% of budget lines could be linked to individual SDGs Source: Albania <<MAPS>> report, p. 87 • Could/should something similar be done in your country? • Should a similar exercise be attempted for commercial flows?
  • 28. Some take-aways • State budget finance is critical – More sophisticated treatment of fiscal data needed • ODA still matters in some places – Especially for global leaders in remittance inflows (Kyrgyzstan, Armenia, Moldova, Kosovo, Georgia) • This underscores the importance of “blending” remittances with ODA, budget finance • On commercial flows: – FDI, bank loans are larger than flows associated with stocks and bonds, financial services – In economies with largest commercial flows (Azerbaijan, Kazakhstan), most of this goes to the extractive sector
  • 29. Thank you very much! (ben.slay@undp.org)