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Www.uis.unesco.org - STI Indicators and links to STI policies - UIS activities in the collection and analysis of STI indicators - Overview of data for.

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Presentation on theme: "Www.uis.unesco.org - STI Indicators and links to STI policies - UIS activities in the collection and analysis of STI indicators - Overview of data for."— Presentation transcript:

1 www.uis.unesco.org - STI Indicators and links to STI policies - UIS activities in the collection and analysis of STI indicators - Overview of data for South Asia NATIONAL TRAINING WORKSHOP ON SCIENCE, TECHNOLOGY AND INNOVATION (STI) INDICATORS Tehran, Iran November 2010

2 www.uis.unesco.org Objectives of this presentation Science policy and the linkage to indicators 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

3 www.uis.unesco.org Science policy and the linkage to indicators

4 www.uis.unesco.org Science, technology and innovation (STI) STI universally recognised now as one of the main drivers of economic growth… … and therefore of poverty reduction as well Governments should aim to harness the benefits of STI Hence the need for a national STI policy Integrated in the overall national strategic plan Coordinated between the various actors that have a stake (e.g. Ministry of Agriculture, Ministry of Health, Ministry of Higher Education, etc.)

5 www.uis.unesco.org The need for monitoring Monitoring and benchmarking is critical in assessing, implementing and evaluating policy If you dont know where you are, how do you know in which direction you need to go? Policies often include targets: need for (statistical) measures to assess progress E.g. Lisbon target (3%) China: 2.5% by 2020 CPA: 1% in Africa

6 www.uis.unesco.org STI policy, evidence/data needed: indicators to tell a story Do I need to invest in R&D or in Higher Education? Better know how much you are investing already What is a convenient and relevant measure? % of GDP? Number of graduates? In which areas should I invest predominantly? In which areas am I already investing? Which are important economic sectors, in mining, agriculture, industry, services, etc? Which are crucial public sectors, and what are national or regional peculiarities? (health, environment, utilities, defense,…) Do I need to improve quality of higher education or research? Better know how you compare to other countries Are there sufficient links of universities and institutes to industry?

7 www.uis.unesco.org Some examples – UNESCO

8 www.uis.unesco.org Some examples – EU The EU innovation Scoreboard is "an annual assessment of innovation performance in the individual Member States of the European Union. It was an explicit request of the European Council of Ministers meeting in Lisbon in March 2000

9 www.uis.unesco.org Some examples – OECD Innovation strategy

10 www.uis.unesco.org Some examples – AU/NEPAD The ASTII Initiative is a programme in the Africas Science and Technology Consolidated Plan of Action (CPA) (adopted in 2005) by the African Ministerial Conference on Science and Technology (AMCOST), resolving to establish an inter-governmental committee comprising of relevant national authorities to develop, adopt and use common indicators to survey and prepare an African Science, technology and Innovation report.

11 www.uis.unesco.org Some examples – Latin America

12 www.uis.unesco.org UIS activities in the collection and analysis of STI indicators and Overview of data for South Asia

13 www.uis.unesco.org 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 UNESCO Reports: UNESCO Science Report UNESCO World Report - Towards Knowledge Societies International Report on S&T and Gender

14 www.uis.unesco.org UIS Strategy on S&T statistics International Review of S&T Statistics & Indicators 2002-03 Resulting priorities: Immediate term: R&D personnel & expenditure Human resources devoted to S&T Science education & Higher education International mobility Gender Medium term: Innovation data Just started! Longer term: Output & Impact

15 www.uis.unesco.org 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

16 www.uis.unesco.org 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 data collection of innovation data

17 www.uis.unesco.org Survey on Statistics of Science & Technology Biennially. 2004, 2006 and 2008 S&T surveys completed. 4 th round launched in June 2010. 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. UIS keeps direct contact with national S&T statisticians.

18 www.uis.unesco.org Data collection 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 New: by type of activity and field of science

19 www.uis.unesco.org UIS 2008 and 2010 Surveys on R&D: response rates & published data Regions (Countries and Territories covered) Responses Q 2008 Responses Q 2010 Published data Q2008 Sub-Saharan Africa (46) 2146% 1636% 38% 2759% 61% Arab States-Africa (8) 450%4 675% Asia (31, excl. Arab States & OECD ) 2168% 63% 2065% 63% 2477% 65% Arab States - Asia (12) 650%758%433% Americas (19, excl. RICYT & OECD ) 421%00%421% Europe (16, excl. OECD & Eurostat ) 1169%638%1063% Oceania (17, excl. OECD ) 424%16%318% Sub-total (149) 7148%5438%7852% Data from other sources: OECD + Eurostat (43) Total coverage 43100% RICYT (23) 1983% Total (215) 13764%12458%14065%

20 www.uis.unesco.org Respondents to the UIS 2008 and 2010 questionnaires from South Asian countries Country2008Q2010Q AfghanistanData not provided BangladeshData not provided BhutanData not provided IndiaData not providedData provided IranData provided MaldivesData not provided MongoliaData provided NepalData not provided PakistanData provided Sri LankaData provided Note: China provides data to the OECD

21 www.uis.unesco.org How many researchers are there? Number of researchers worldwide Source: UIS, June 2010

22 www.uis.unesco.org How many researchers are there? Number of researchers worldwide Source: UIS, June 2010 Note: Data for the USA are for 2006 instead of 2007

23 www.uis.unesco.org Where are researchers located? Shares of world researchers by principal regions, 2002 and 2007 (%) Source: UIS, September 2009

24 www.uis.unesco.org Shares of world researchers by principal regions/countries, 2002 and 2007 (%) Source: UIS estimates, September 2009

25 www.uis.unesco.org Which countries host the greatest number of researchers? Number of researchers, 2007 or latest available year Source: UIS, August 2010

26 www.uis.unesco.org What are the national research densities? Researchers per million inhabitants, 2007 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 above Source: UIS, August 2010

27 www.uis.unesco.org What are the national research densities? Researchers per million inhabitants, 2007 or latest available year: South Asia 0 – 100 per million 101 – 300 per million 301 – 1000 per million 1001 – 2000 per million Data not available 2001 per million and above Source: UIS, August 2010

28 www.uis.unesco.org How many researchers are there? Researchers per million inhabitants, by principal regions/countries, 2007 or latest year available Notes: -1 = 2006, -2 = 2005 Source: UIS estimates, September 2009

29 www.uis.unesco.org The gender gap in science. Women as a share of total researchers, 2007 or latest available year 0% – 30% 30.1% – 45% 45.1% – 55% 55.1% – 70% Data not available 70.1% – 100% Source: UIS, August 2010Note: Data in this map are based on HC, except for Congo (based on FTE).

30 www.uis.unesco.org The gender gap in science: South Asia. Women as a share of total researchers, 2007 or latest available year 0% – 30% 30.1% – 45% 45.1% – 55% 55.1% – 70% Data not available 70.1% – 100% Source: UIS, August 2010Note: Data in this map are based on HC.

31 www.uis.unesco.org Gender gap in research career? Proportion of women and men graduates in tertiary education and those employed as researchers, 2008 Source: UIS, October 2010

32 www.uis.unesco.org Researchers, South Asian countries, 2007 or last available year Source: UIS S&T Database, November 2010. FTE: Full-time equivalence - HC: Headcount - n: National publication - *Partial data - e National estimation CountryYearResearchers (FTE) Researchers per million inhabitants (FTE) Afghanistan--- Bangladesh1997 HC 6,097 46 Bhutan--- China2007 1,423,380 1071 India2005 n 154,827 137 Iran2006 50,546 706 Maldives--- Mongolia2007* HC 1,740 666 Nepal2002 e 1,500 m Pakistan2007 26,338 152 Sri Lanka2006 1,833 93

33 www.uis.unesco.org Data for Iran: Researchers Business Enterprise (BE) Government (GOV) Higher Education (HE) Private non-profit (PNP) Not specified FTE 8,02016,11726,409-- HC 9,48519,15439,156-- FTEHC TotalFemale (%)Per million inhabitantsTotalFemale (%)Per million inhabitants 2004 ………51,89919.8742 2006 50,54624.070667,79523.0947 Number of researchers Researchers by sector of employment – Total (2006) Researchers by qualification – Total (2006) ISCED 6ISCED 5AISCED 5BNon-tertiary qualificationsNot specified FTE 19,92930,617--- HC 26,74141,054--- Researchers by fields of science – Total (2006) Natural Sciences Engineering & technology Medical & health sciences Agricultural sciences Social sciences HumanitiesNot specified FTE 6,86114,3109,5648,15310,727x931 HC 9,72418,18012,74810,05615,920x1,167 Source: UIS S&T Database, November 2010 - FTE: Full-time equivalence - HC: Headcount - x: Included in Social sciences

34 www.uis.unesco.org Gross domestic expenditure on R&D (GERD) worldwide (in Purchasing Power Parity Dollars) Source: UIS, June 2010

35 www.uis.unesco.org Gross domestic expenditure on R&D (GERD) worldwide (in Purchasing Power Parity Dollars) Source: UIS, June 2010

36 www.uis.unesco.org Where are R&D investments made? Shares of world R&D expenditure (GERD) by principal regions, 2002 and 2007 (%) Source: UIS, September 2009

37 www.uis.unesco.org Shares of world R&D expenditure (GERD) by principal regions/countries, 2002 and 2007 (%) Source: UIS estimates, September 2009

38 www.uis.unesco.org Worlds top 10 leaders in R&D investment GERD ( billions PPP$), 2007 or latest available year Source: UIS, August 2010

39 www.uis.unesco.org A snap-shot of R&D intensity. Gross domestic expenditure on R&D (GERD) as a percentage of GDP, 2007 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, August 2010

40 www.uis.unesco.org A snap-shot of R&D intensity: South Asia Gross domestic expenditure on R&D (GERD) as a percentage of GDP, 2007 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, August 2010

41 www.uis.unesco.org Which regions are most R&D intensive? Gross domestic expenditure on R&D (GERD) as a % of GDP by principal regions/countries, 2007 or latest year available Notes: -1 = 2006, -2 = 2005Source: UIS estimates, September 2009

42 www.uis.unesco.org 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.

43 www.uis.unesco.org Gross Domestic Expenditure on R&D (GERD) indicators in South Asian countries, 2007 or latest available year n National publication - * Partial dataSource: UIS S&T Database, November 2010 CountryYear GERD ('000) – Local currency GERD - PPP$ ('000) GERD – as % of GDP GERD per capita (PPP$) Afghanistan----- Bangladesh- -- -- Bhutan----- China2007 371,024,000102,428,349 1.477.1 India2007 n 377,779,00024,792,602 0.821.3 Iran2006 13,657,000,0004,699,412 0.765.6 Maldives----- Mongolia2007* 10,410,00019,123 0.27.3 Nepal----- Pakistan2007 58,441,7462,726,960 0.715.7 Sri Lanka2006 5,119,200135,013 0.26.9

44 www.uis.unesco.org Data for Iran: R&D expenditure GERD GERD by sector of performance (000) Local currency GERD by source of funds (000) Local currency BEGOVHEPNPAbroadNS 20041,618,823,0005,698,971,000941,560,000……- 20061,941,000,00010,186,000,0001,530,000,000……- GERD by sector of performance (%) … … PNP -30.555.314.22006 -26.154.319.62004 NSHEGOVBE GERD by source of funds (%) … … Abroad -…11.274.614.22006 -…11.469.019.62004 NSPNPHEGOVBE Source: UIS S&T Database, November 2010 (000) Local currency000 current PPP$As percentage (%) of GDP Per capita (current PPP$) 2004 8,259,300,0003,498,8330.650 2006 13,657,000,0004,699,4120.766 BEGOVHEPNPNS 20041,618,823,0004,484,800,0002,155,677,000…- 20061,941,000,0007,557,000,0004,159,000,000…-

45 www.uis.unesco.org Which sectors perform the most R&D? A breakdown of R&D investment in Europe. GERD by sector of performance, 2007 or latest available year Source: UIS, August 2010Note: +1 = 2008, -1 = 2006, -3 = 2004.

46 www.uis.unesco.org A breakdown of R&D investment in the Americas. GERD by sector of performance, 2007 or latest available year Source: UIS, August 2010Note: +1 = 2008, -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002.

47 www.uis.unesco.org A breakdown of R&D investment in Africa, Asia and the Pacific. GERD by sector of performance, 2007 or latest available year Source: UIS, August 2010Note: +1 = 2008, -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002.

48 www.uis.unesco.org Which sectors finance the most in R&D? Funding in Europe. GERD by source of funds, 2007 or latest available year Source: UIS, August 2010Note: +1 = 2008, -2 = 2005, -3 = 2004, -4 = 2003, -5 = 2002

49 www.uis.unesco.org Funding in the Americas. GERD by source of funds, 2007 or latest available year Source: UIS, August 2010Notes: +1 = 2008, -2 = 2005, -3 = 2004, -5 = 2002.

50 www.uis.unesco.org Funding in Africa, Asia and the Pacific. GERD by source of funds, 2007 or latest available year Source: UIS, August 2010Note: +1 = 2008, -1 = 2006, -2 = 2005, -3 = 2004, -5 = 2002, -6 = 2001.

51 www.uis.unesco.org Quality of data Efficient use of resources Consistency over time and space Accessibility and affordability Validity and reliability Comparability through standards Relevance to policy Potential for disaggregation Currency and punctuality Coherence across sources Clarity and transparency

52 www.uis.unesco.org 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

53 www.uis.unesco.org Capacity building (2) Measurement problems: Measuring real effort (full-time equivalents) Private sector R&D Budget data vs. surveys Role of foreign entities

54 www.uis.unesco.org 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.

55 www.uis.unesco.org UIS S&T Statistics workshops 2005:Uganda, India 2006:Indonesia, Senegal, Kazakhstan 2007:Tunisia, FYR of Macedonia, Jordan, Brazil, Russia, Cameroon 2008:Oman, Cambodia, Botswana 2009:Kenya, Egypt 2010:Mali, Syria, Uzbekistan, Nepal But also contributing to similar workshops of partner organisations (e.g. RICYT, NEPAD, ASEAN)

56 www.uis.unesco.org Countries that have participated in UNESCO S&T statistics workshops 2005-2010 Countries and territories not yet covered Countries and territories not targeted Countries and territories covered

57 www.uis.unesco.org 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.

58 www.uis.unesco.org 3. Standard setting/methodological developments Careers of Doctoral Holders – CDH (since 2004) Measuring Innovation in Developing countries: Annex to the Oslo Manual (2005) Measuring R&D in Developing Countries: Technical Guide and Annex to the Frascati Manual (2010)

59 www.uis.unesco.org 4. Some publications Data publicly available at: www.uis.unesco.org UIS Publications (can be downloaded from the UIS website): S&T Bulletin 1 – Investment in R&D; S&T Bulletin 2 – Bibliometric Indicators; S&T Bulletin 3 – Women in Science Fact sheet: R&D statistics (recently updated) UNESCO Science Report 2010 (out in November) International Report on Science, Technology and Gender 2007 UNESCO World Report History of Science Statistics at UNESCO Paper on current status of International Science statistics for Africa in African Statistical Journal

60 www.uis.unesco.org 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

61 www.uis.unesco.org 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.

62 www.uis.unesco.org Thank you! http://www.uis.unesco.org

63 www.uis.unesco.org 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.

64 www.uis.unesco.org 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.

65 www.uis.unesco.org 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.

66 www.uis.unesco.org 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

67 www.uis.unesco.org 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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