Www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of...

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www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of data for South East Asia South East Asian Regional Workshop on Science, Technology and Innovation Statistics Hanoi, Viet Nam 5-8 December 2011 Martin Schaaper

Transcript of Www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of...

Page 1: Www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of data for South East Asia South East Asian Regional Workshop.

www.uis.unesco.org

UIS activities in the collection and analysis of STI indicators and

overview of data for South East Asia

South East Asian Regional Workshop on Science, Technology and Innovation StatisticsHanoi, Viet Nam

5-8 December 2011Martin Schaaper

Page 2: Www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of data for South East Asia South East Asian Regional Workshop.

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Objectives of this presentation

Present the work that UIS does to support the collection and analysis of STI indicators in developing countries

Provide an overview of the availability of STI indicators worldwide and in the region

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UNESCO Institute for Statistics (UIS)

Formerly UNESCO Division of Statistics

Established in 1999

September 2001 - the UIS moved from Paris to the University of Montreal, Quebec, Canada

30 November 2001 – UNESCO Director-General inaugurates the UNESCO Institute for Statistics in Montreal

Director: Mr. Hendrik van der Pol

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UIS presence around the world

•Montreal

• Nairobi• Luanda

• Bangkok

• Santiago

Apia ●

• Paris

Dakar●

• Windhoek

• Bamako•Yaounde

• Doha• Delhi

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UNESCO Institute for Statistics (UIS)

United Nations data repository for:

• Education

• Science, Technology and Innovation

• Culture

• Communication

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UIS is the UN lead agency for S&T statistics

Official S&T data source for:

• UN Statistical Division: UN Statistical Year Book

• UNDP: Human Development Report

• World Bank: World Development Indicators

Data publicly available at: http://www.uis.unesco.org

UIS Publications (can be downloaded from the UIS website): S&T Bulletins; Fact sheet on R&D statistics

UNESCO Reports: • UNESCO Science Report

• UNESCO World Report - Towards Knowledge Societies

• International Report on S&T and Gender

• History of Science Statistics at UNESCO

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Areas of work

R&D personnel & expenditure

Human resources devoted to S&T

International mobility• Gender

Innovation data

• Since 2010

Longer term: Output & Impact

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Lines of action

1. S&T survey operation and data guardianship

2. Training in S&T statistics: workshops & other training activities

3. Standard setting and methodological developments

4. Analysis and publications

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1. S&T Survey operation and data guardianship

Global survey on statistics of science & technology

Global database on S&T Statistics

Data dissemination: on the UIS website and through contributions to other agencies

2011: pilot survey of innovation data

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Survey on Statistics of Science & Technology: R&D Survey

Biennially.

2004, 2006, 2008 and 2010 R&D surveys completed.

Results released on UIS website (http://stats.uis.unesco.org).

OECD and Eurostat provide data for their Member States.

RICYT provides data for Latin America and for a few Caribbean countries.

UIS keeps direct contact with national S&T statisticians.

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Data collection: R&D Survey

R&D Personnel

By sector of employment, occupation, qualification, and field of science

In headcount and FTE

By gender

R&D Expenditure

By sector of performance and source of funds

By type of activity and field of science

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Respondents to the UIS 2008 and 2010 questionnaires: South East Asia

Country 2008Q 2010Q

1 Brunei Darussalam Data not provided Data not provided

2 Cambodia Data not provided Data not provided

3 Hong Kong SAR, China Data provided Data provided

4 Laos PDR Data not provided Data not provided

5 Indonesia Data provided Data provided

6 Macao SAR, China Data not provided Data provided

7 Malaysia Data provided Data provided

8 Myanmar Data not provided Data not provided

9 Philippines Data provided Data provided

10 Thailand Data provided Data provided

11 Timor-Leste Data not provided Data not provided

12 Viet Nam Data not provided Data not provided

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UIS 2008 and 2010 Surveys on R&D:response rates & published data

Regions (Countries and Territories

covered)

Effective responses

Q 2008

Effective responses

Q 2010

Published data(by June 2011)

Sub-Saharan Africa (45) 10 22%26%

12 27%30%

31 69%70%

Arab States-Africa (8) 4 50% 4 50% 6 75%

Asia (31, excl. Arab States & OECD) 15 48%42%

16 52%51%

24 77%67%

Arab States - Asia (12) 3 25% 6 50% 5 42%

Americas (14, excl. RICYT & OECD) 1 7% 0 0% 4 29%

Europe (16, excl. OECD & Eurostat) 8 50% 7 44% 11 69%

Oceania (17, excl. OECD) 4 24% 0 0% 3 18%

Sub-total (143) 45 31% 45 31% 84 59%

Data from other sources: 

OECD + Eurostat (45) 45 100% 45 100% 45 100%

RICYT (25, incl. 10 Caribbean) 18 72% 18 72% 18 72%

Total (213)108 51% 108 51% 147 69%

Note: Effective responses: number of returned questionnaires with data.

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Researchers, South East Asia, 2009 or last available year

Country Year Researchers (FTE)Researchers per million

inhabitants (FTE)

Brunei Darussalam* 2004 101.9 286

Cambodia* 2002 222.9 17

Hong Kong SAR, China 2009 19,283 2759

Laos PDR* 2002 87 16

Indonesia* 2009 21,275 90

Macao SAR, China* 2009 389.9 734

Malaysia 2006 9,694.5 364

Myanmar* 2002 837 18

Philippines 2007 6,957 78

Thailand 2007 21,392 315

Timor-Leste … … …

Viet Nam 2002 9,328 116

Source: UIS S&T Database, July 2011 FTE: Full-time equivalent; * Based on partial data

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How many researchers are there?Number of researchers worldwide

Source: UIS, August 2010

4.0

4.5

1.8

2.7

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

4.5

5.0

Developed countries Developing countries

Re

se

arc

he

rs (

mill

ion

s)

2002 (5.8 million) 2007 (7.2 million)

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How many researchers are there?Number of researchers worldwide

Source: UIS, August 2010 Note: Data for the USA are for 2006 instead of 2007

1.2

1.3

0.6

0.90.8

1.0

1.4 1.4

0.9

1.4

1.3

0.7

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

EU USA Japan Otherdeveloped

China Otherdeveloping

Re

se

arc

he

rs (

mill

ion

s)

2002 (5.8 million) 2007 (7.2 million)

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Where are researchers located?Shares of world researchers by principal regions, 2002 and 2007 (%)2002 (5.8 million)

Oceania,2.1%

Africa,2.3%

Latin America & Caribbean,

2.9%North

America,25.2%

Europe,31.9%

Asia,35.7%

2007 (7.1 million)

Oceania,2.1%

Africa,2.3%

Latin America & Caribbean,

3.6%North

America,22.2%

Europe,28.4%

Asia,41.4%

Source: UIS, August 2010

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Which countries host the greatest number of researchers?Number of researchers, 2009 or latest available year

Source: UIS, July 2011 Note: -1 = 2008, -2 = 2007, -4 = 2005. Data in this graph are based on FTE data.

243,338

236,137

229,130154,827 142,948

1,592,420

1,412,639656,676

442,263

311,500

China-1 United States-2 Japan-1 Russian Fed.

Germany United Kingdom Rep. of Korea-1 France-1

India-4 Canada-2

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A breakdown of researchers in the Americas.Researchers by sector of employment, 2009 or latest available year

Source: UIS, July 2011Note: -1 = 2008, -2 = 2007, -5 = 2004, -6 = 2003, -7 = 2002. Data in this graph are based on FTE data (* based on HC data).

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Un

ite

d S

tate

s-2

Ca

na

da

-2

Ch

ile-5

Me

xic

o-2

Bra

zil-

1

Ec

ua

do

r-1

Ho

nd

ura

s*-

6

Arg

en

tin

a-1

Bo

livia

-7

El S

alv

ad

or*

Uru

gu

ay

-1

Pa

na

ma

-1

Co

lom

bia

-1

Tri

nid

ad

& T

ob

ag

o*-

1

Ve

ne

zue

la

Gu

ate

ma

la-1

Pa

rag

ua

y-1

Co

sta

Ric

a-1

Nic

ara

gu

a*-

5

Business enterprise Government Higher education

Private non-profit Unknown

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A breakdown of researchers in Europe.Researchers by sector of employment, 2009 or latest available year

Source: UIS, July 2011Note: +1 = 2010, -1 = 2008, -2= 2007. Data in this graph are based on FTE data (* based on HC data).

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Au

stri

a

Sw

eden

Den

mar

k

Fin

lan

d

Ger

man

y

Lu

xem

bo

urg

Fra

nce

-1

Bel

aru

s*

Irel

and

No

rway

Mal

ta

Ru

ssia

n F

ed.

Icel

and

-1

Bel

giu

m

Hu

ng

ary

Slo

ven

ia

Cze

ch R

ep.

Net

her

lan

ds

Sw

itze

rlan

d-1

Ital

y

Ukr

ain

e

Tu

rkey

Sp

ain

Un

ited

Kin

gd

om

+1

Ro

man

ia

Est

on

ia

Gre

ece-

2

Cyp

rus

Po

rtu

gal

Cro

atia

Po

lan

d

Bu

lgar

ia

Lit

hu

ania

Slo

vaki

a

Rep

. o

f M

old

ova

Lat

via

Mac

edo

nia

(F

YR

)-1

Ser

bia

Mo

nte

neg

ro*-

2

Alb

ania

-1

Business enterprise Government Higher education Private non-profit Unknown

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A breakdown of researchers in Africa, Asia and the Pacific.Researchers by sector of employment, 2009 or latest available year

Source: UIS, July 2011Note: -1 = 2008, -2 = 2007, -3 = 2006, -4 = 2005, -6 = 2002, -7 = 2001, -9 = 2000, -12 = 1997. Data in this graph are based on FTE data (* based on HC data).

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Ma

li*-2

So

uth

Afr

ica

-2G

ha

na

-2B

ots

wa

na

*-4

Ug

an

da

*Z

am

bia

-1L

es

oth

oT

un

isia

-1C

en

. Afr

. Re

p.*

Ca

me

roo

n*-

1K

en

ya

*-2

Su

da

n*-

4M

ala

wi-

2M

oro

cc

o-1

Se

ne

ga

l-1

Mo

zam

biq

ue

*-2

Bu

rkin

a F

as

o*-

2E

thio

pia

-2G

am

bia

*S

ey

ch

elle

s-4

Gu

ine

a*-

9E

gy

pt

Ma

da

ga

sc

ar-

2T

an

zan

ia*-

2N

ige

ria

-2A

lge

ria

-4T

og

o-2

Co

ng

o D

R*-

4C

ôte

d'Iv

oir

e-4

Re

p. o

f K

ore

a-1

Ja

pa

n-1

Ch

ina

-1S

ing

ap

ore

-1P

hili

pp

ine

s-2

Ho

ng

Ko

ng

,In

dia

-4M

ala

ys

ia-3

Jo

rda

n*-

6L

ao

PD

R-7

Pa

les

tin

e*-

1T

ha

ilan

d-2

Sri

La

nk

a-1

Bru

ne

i-6

Ca

mb

od

ia-7

Ira

n-1

Aze

rba

ijan

Ky

rgy

zsta

n*

Vie

t N

am

-7K

aza

kh

sta

n*

Ma

ca

o, C

hin

aM

on

go

lia*

Ind

on

es

ia*-

4T

ajik

ista

n*-

3A

rme

nia

*B

an

gla

de

sh

*-1

2G

eo

rgia

*-4

Pa

kis

tan

Au

str

alia

-1N

ew

Ze

ala

nd

-2

Business enterprise Government Higher education Private non-profit Unknown

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What are the national research densities? Researchers per million inhabitants, 2009 or latest available year

0–100 per million

101–300 per million

301–1000 per million

1001–2000 per million

Data not available

2001 per million and aboveNote: Data in this map are based on FTE. However, figures in headcounts (HC) were considered for the following countries since the FTE figures were not available: Armenia; Azerbaijan; Bangladesh; Belarus; Benin; Botswana; Cameroon; Central African Rep.; Cuba; Dem. Rep. of the Congo; El Salvador; Gabon; Gambia; Georgia; Guinea; Honduras; Jordan; Kazakhstan; Kyrgyzstan; Libya; Mauritius; Mongolia; Montenegro; Nauru; Nicaragua; Peru; Saint Lucia; Saint Vincent and the Grenadines; Saudi Arabia; Sudan; Tajikistan; Tanzania; Trinidad and Tobago; Uganda and U.S. Virgin Islands. This has to be taken into account when interpreting the data.

Source: UIS, July 2011

Page 23: Www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of data for South East Asia South East Asian Regional Workshop.

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What are the national research densities? Researchers per million inhabitants, 2009 or latest available year: Asia

Source: UIS, July 2011

0–100 per million

101–300 per million

301–1000 per million

1001–2000 per million

Data not available

2001 per million and above

Note: Data in this map are based on FTE. However, figures in headcounts (HC) were considered for the following countries since the FTE figures were not available: Benin; Botswana; Cameroon; Central African Rep; Dem. Rep. of the Congo; Gabon; Gambia; Guinea; Libya; Mauritius; Sudan; Tanzania and Uganda. This has to be taken into account when interpreting the data.

0–100 per million

101–300 per million

301–1000 per million

1001–2000 per million

Data not available

2001 per million and above

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The gender gap in science.Women as a share of total researchers, 2009 or latest available year

0%–30%

30.1%–45%

45.1%–55%

55.1%–70%

Data not available

70.1%–100%

Source: UIS, July 2011 Note: Data in this map are based on HC, except for Congo and India (based on FTE).

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The gender gap in science.Women as a share of total researchers, 2009 or latest available year: Asia

Source: UIS, July 2011

0%–30%

30.1%–45%

45.1%–55%

55.1%–70%

Data not available

70.1%–100%

Note: Data in this map are based on HC, except for Congo (based on FTE).

0%–30%

30.1%–45%

45.1%–55%

55.1%–70%

Data not available

70.1%–100%

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Gender gap in research career? Proportion of women and men graduates in tertiary education and those employed as researchers, 2008

Source: UIS, October 2010

0

10

20

30

40

50

60

70

80

Bachelor's degree Master's degree PhD degree Researchers

Wo

me

n a

nd

me

n (

%)

Women Men

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Gross Domestic Expenditure on R&D (GERD), South East Asia, 2009 or last available year

Country YearGERD ('000) – Local

currency GERD - PPP$ ('000)GERD – as % of

GDP

Brunei Darussalam* 2004 4,925 6,268 0.04

Cambodia* 2002 8,357,010 6,816 0.05

Hong Kong SAR, China 2009 12,833,000 2,389,657 0.79

Laos PDR* 2002 6,560,000 2,652 0.04

Indonesia* 2009 4,671,354,585 801,398 0.08

Macao SAR, China* 2009 132,766 24,640 0.08

Malaysia 2006 3,646,700 2,090,512 0.63

Myanmar* 2002 9,122,008 … 0.16

Philippines 2007 7,556,360 341,231 0.11

Thailand 2007 18,225,253 1,116,747 0.21

Timor-Leste … … … …

Viet Nam 2002 1,032,560,900 252,019 0.19

* Based on partial dataSource: UIS S&T Database, July 2011

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Gross domestic expenditure on R&D (GERD) worldwide

Source: UIS, August 2010

873.2

653.0

137.3

272.5

0

100

200

300

400

500

600

700

800

900

1000

Developed countries Developing countries

GE

RD

(in

bill

ion

s P

PP

$)

2002 (790.3 billion) 2007 (1145.7 billion)

Figures are in Purchasing Power Parity Dollars (PPP$)

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Gross domestic expenditure on R&D (GERD) worldwide

Source: UIS, August 2010

277

206

108

6239

98

265

87102

373

170148

0

50

100

150

200

250

300

350

400

USA EU Japan Otherdeveloped

China Otherdeveloping

GE

RD

(in

bill

ion

s P

PP

$)

2002 (790.3 billion) 2007 (1145.7 billion)

Figures are in Purchasing Power Parity Dollars (PPP$)

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Where are R&D investments made?Shares of world R&D expenditure (GERD) by principal regions, 2002 and 2007 (%)

2002 (789 billion PPP$)

North America,

37.8%

Asia,27.1%

Europe,30.3%

Latin America & Caribbean,

2.6%

Oceania,1.4% Africa,

0.9%

2007 (1138 billion PPP$)

North America,

34.7%

Asia,32.7%

Europe,27.3%

Latin America & Caribbean,

2.9%

Oceania,1.6% Africa,

0.9%

Source: UIS, August 2010

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World’s top 10 leaders in R&D investmentGERD (‘000 PPP$), 2009 or latest available year

Source: UIS, July 2011 Note: -1 = 2008.

43,906,41340,610,639

47,953,451

83,974,765

121,369,732 148,719,235

398,194,00024,752,618

24,935,47033,368,083

United States-1 Japan-1 China-1 Germany

France Rep. of Korea-1 United Kingdom Russian Fed.

Canada Italy

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A snap-shot of R&D intensity.Gross domestic expenditure on R&D (GERD) as a percentage of GDP, 2009 or latest available year

0.00%–0.25%

0.26%–0.50%

0.51%–1.00%

1.01%–2.00%

Data not available

2.01% and above

Source: UIS, July 2011

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A snap-shot of R&D intensity.Gross domestic expenditure on R&D (GERD) as a percentage of GDP, 2009 or latest available year: Asia

Source: UIS, July 2011

0.00%–0.25%

0.26%–0.50%

0.51%–1.00%

1.01%–2.00%

Data not available

2.01% and above

0.00%–0.25%

0.26%–0.50%

0.51%–1.00%

1.01%–2.00%

Data not available

2.01% and above

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R&D intensity (GERD as a % of GDP) by principal regions, 1990 – 2007

Sources: For 1990 – 2000, UIS estimates, 2004. For 2002 -2007, UIS estimates, September 2009.

2.6%2.6%

1.1%

2.1%

1.7%1.8%

1.8%

1.6%

1.6%

1.8%

0.5%

0.6%0.6%

0.4%

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

1990 1992 1994 1996/1997 1999/2000 2002 2007

NorthernAmerica

Oceania

WORLD

Europe

Asia

LatinAmerica &Caribbean

Africa

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A breakdown of R&D investment in the Americas.GERD by sector of performance, 2009 or latest available year

Source: UIS, July 2011 Note: -1 = 2008, -2 = 2007, -5 = 2004, -7 = 2002.

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Un

ite

d S

tate

s-1

Ca

na

da

Me

xic

o-2

Ch

ile

-5

Bra

zil-

5

Co

sta

Ric

a-1

Pe

ru-5

Arg

en

tin

a-1

Bo

liv

ia-7

Co

lom

bia

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gu

ay

-1

Ec

ua

do

r-1

Tri

nid

ad

an

d T

ob

ag

o-1

Pa

na

ma

Pa

rag

ua

y-1

Gu

ate

ma

la-1

El

Sa

lva

do

r-2

Business enterprise Government Higher education

Private non-profit Unknown

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A breakdown of R&D investment in Europe.GERD by sector of performance, 2009 or latest available year

Source: UIS, July 2011 Note: +1 = 2010, -1 = 2008, -2 = 2007.

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Lu

xe

mb

ou

rg

Sw

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nd

-1

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lan

d+

1

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str

ia

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ed

en

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ny

Be

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m

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nm

ark

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lan

d

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ve

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ian

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d.

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ite

d K

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do

m+

1

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nc

e

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ch

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p.

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ng

ary

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rain

e

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lan

d-1

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y

Be

laru

s

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ain

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ly

Ne

the

rla

nd

s

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ga

l

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ton

ia

Slo

va

kia

Cro

ati

a

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ma

nia

Tu

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y

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tvia

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lga

ria

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ce

do

nia

(F

YR

)-1

Po

lan

d

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ec

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hu

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pru

s

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rbia

Re

p. o

f M

old

ov

a

Mo

nte

ne

gro

-2

Alb

an

ia-1

Bo

sn

ia &

He

rze

go

vin

a-2

Business enterprise Government Higher education Private non-profit Unknown

Page 37: Www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and overview of data for South East Asia South East Asian Regional Workshop.

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A breakdown of R&D investment in Africa, Asia and the Pacific. GERD by sector of performance, 2009 or latest available year

Source: UIS, July 2011 Note: -1 = 2008, -2 = 2007, -3 = 2006, -4 = 2005, -5 = 2004, -7 = 2002, -8 = 2001.

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

So

uth

Afr

ica-

2S

ud

an-4

Mo

rocc

o-3

Tu

nis

iaB

ots

wan

a-4

Ken

ya-2

Ug

and

aG

han

a-2

Mal

i-2

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bia

-1S

eneg

al-1

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rkin

a F

aso

-2S

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elle

s-4

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zam

biq

ue-

2E

thio

pia

-2T

anza

nia

-2N

iger

ia-2

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agas

car

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oth

o

Mal

aysi

a-3

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elJa

pan

-1R

ep. o

f K

ore

a-1

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ina-

1S

ing

apo

re-1

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ilip

pin

es-2

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aila

nd

-2H

on

g K

on

g, C

hin

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ao P

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dia

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ri L

anka

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iet

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nes

ia-8

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bo

dia

-7Ir

an-1

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ng

olia

Mac

ao, C

hin

aB

run

ei-5

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enia

Taj

ikis

tan

Pak

ista

nG

eorg

ia-4

Au

stra

lia-1

New

Zea

lan

d-2

Business enterprise Government Higher education Private non-profit Unknown

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1.2 Innovation Statistics: Why?

Medium-term objective of the International Review of S&T Statistics & Indicators 2002-03;

May provide information on the business sector in developing countries that R&D statistics won’t supply;

Many developing countries recently starting to carry out innovation surveys;

UIS has a natural coordinating role as UN lead agency on S&T statistics.

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The UIS strategy on Innovation Statistics

Inventory of innovation surveys in developing countries;

Pilot data collection (in 15 countries in June 2011);

2013: Regular data collection every two years;

Online worldwide database;

Analysis and publications;

Capacity building and training activities;

Methodological developments and survey help;

In partnership with international and regional organisations (ASEAN, AU/NEPAD, Eurostat, OECD, RICYT, …).

– Will be presented separately

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2. Capacity building

There are many problems:

Lack of understanding of importance of S&T (indicators)

Lack of political will and action

Lack of coordination

Lack of trained personnel

High staff turnover

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Capacity building (2)

Measurement problems:

Measuring “real effort” (full-time equivalents)

Private sector R&D

Budget data vs. surveys

Role of foreign entities

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S&T statistics workshops

Increase the number of countries regularly producing quality S&T indicators.

Create local capacities and establish sustainable local S&T statistics systems.

Promote the use of S&T indicators for evidence-based S&T policy making.

Share experiences with other developing countries and address problems.

Gain knowledge about the particular characteristics of S&T statistics data.

Demonstrate good practices in other countries of the region.

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UIS S&T Statistics workshops

2005: Uganda, India

2006: Indonesia, Senegal, Kazakhstan

2007: Tunisia, FYR of Macedonia, Jordan, Russia, Cameroon

2008: Oman, Cambodia, Botswana

2009: Kenya, Egypt

2010: Mali, Syria, Jordan*, Uzbekistan, Ethiopia*, Nepal

2011: Grenada, Gabon, Azerbaijan*, Vietnam

But also contributing to similar workshops of partner organisations (e.g. RICYT, NEPAD, other partner orgs)

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Countries that have participated in UNESCO S&T statistics workshops 2005-2011

Countries and territories not yet covered

Countries and territories not targeted

Countries and territories covered

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Results of workshops

Increased response rate – non-responding countries learn how to do it from UIS and neighbours.

Immediate problems solved.

Increased data quality – improved understanding of application of international standards.

Face to face contacts = more effective networking.

Inputs to UIS programme development.

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3. Standard setting/methodological developments

Measuring R&D in Developing Countries: Technical Guide and Annex to the Frascati Manual (2010)

• Will be presented separately

Measuring Innovation in Developing countries: Annex to the Oslo Manual (2005)

• Will be presented separately

Careers of Doctoral Holders – CDH (since 2004)

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The careers of doctorate holders survey (CDH)

A joint project with the OECD and Eurostat.

Methodology developed “from scratch”.

Aimed both at developed and developing countries.

With participation from experts from both developed and developing countries.

Promoting the methodology by encouraging developing countries to conduct such surveys and produce cross-nationally comparable statistics on careers of doctorate holders.

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Relevance of the CDH project

Focus on the crucial role of highly qualified individuals who represent a key to the production, application and transmission of knowledge.

Statistics on the global trends in human resources for Science and Technology (HRST) very weak.

Quality and comparability of international data on migration is particularly weak.

Diversity of data collection methods hinders international comparability, and does not provide information on career paths and mobility patterns.

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Objectives of CDH

Objectives:

To design an internationally comparable tool for tracking the careers of doctorates holders and highly qualified people in different countries.

To collect and exchange information on the career paths of holders of doctorates from existing data sources and the new survey tool.

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CDH modules

Doctoral Education (EDU)

Early Career Research positions (ECR)

Employment situation (EMP)

International mobility (MOB)

Career-related experience (CAR)

Personal characteristics (PER)

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CDH toolkit

Components:

Model questionnaire and Instruction Manual

Output tables and variables definitions

Methodological guidelines

Bridge table model questionnaire - output tables

See: http://www.uis.unesco.org/ev.php?URL_ID=5219&URL_DO=DO_TOPIC&URL_SECTION=201

and www.oecd.org/sti/cdh

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4. Some publications

Data publicly available at: http://www.uis.unesco.org (http://stats.uis.unesco.org/unesco/ReportFolders/ReportFolders.aspx?IF_ActivePath=P,54&IF_Language=eng)

UIS Fact Sheets

UNESCO Science Report 2010

International Report on Science, Technology and Gender 2007

Planned: Global R&D e-publication 2011

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Collaborations / Partnerships

UNESCO HQs

World Bank

Eurostat

AU-NEPAD

ADB

ATPS

ISDB

EU-Medibtikar

IDRC (Canada)

IRD (France)

UNESCO offices worldwide

OECD

RICYT (Latin America)

ALECSO

Arab Academy of Science

ISESCO

Inter-Academy Council

INRS (Quebec, Canada)

ASEAN Centre for Social Innovation (ZSI),

Austria

ECO

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Quality of data

Efficient use of resources

Consistency over time and space

Accessibility and affordability

Validityand reliability

Comparability through

standards

Relevance to policy

Potential for disaggregation

Currency and punctuality

Coherence across sources

Clarity and transparency

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Way forward

There is still a lot to do!

UIS needs to keep direct contact with statisticians: Quality and relevance.

Countries to establish sustainable S&T statistics systems, involving line ministries (S&T Ministries or Research Councils) and National Statistical Offices.

Looking forward to further cooperation.

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Thank you!

http://[email protected]