Transitioning from Millennium Development Goal (MDG) to Sustainable Development Goal (SDG) Monitoring: Lessons Learned

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Transitioning from Millennium Development Goal (MDG) to Sustainable Development Goal (SDG) Monitoring: Lessons Learned 2000 International Seminar on World Statistics: Sustainable Data for Sustainable Development" Sofitel Xi an Hotel, Renmin Square, Xi an China 20 to 22 October 2015 Kaushal Joshi Principal Statistician Asian Development Bank 1

Outline SDGs How do they differ from MDGs? What the MDGs have accomplished? MDG Monitoring Process Lessons from MDGs monitoring MDGs to SDGs The Way Forward 2

SDGs How do they compare with MDGs? Millennium Development Goals Sustainable Development Goals Timeline 2000 2015 2030 Goal Setting Perceived as top-down process (UN-led dialogues and negotiations) Inclusive, Highly participatory, and transparent agenda Size 8 goals, 21 targets, & 60 indicators Emphasis Human development and deprivations, environment only partially covered and for developing countries. Financing Largely driven by official development assistance (ODA) 17 goals, 169 targets, & 304 provisional and indicative indicators1 (under discussion) Sustainable development integrating economic, social and environment, Leave no one behind, universal agenda (all countries) Financing from all sources public, private and official aid all important 1 The 304 provisional and indicative indicators proposed on 23 24 March 2015 by experts of the UN system along with the assessment by 70 national statistical offices (NSOs) on the basis of three criteria (feasibility, suitability, and relevance). Source: http://unstats.un.org/unsd/accsub/2015docs-26th/sa-2015-9-sdg.pdf 3

What the MDGs have accomplished? 4

What the MDGs have accomplished? Significant progress in reducing poverty has been made since 1990. Number of Poor (million) Number of out-of-school children in primary age (million) Under-five deaths More than 50% decrease 2013 17.0 59.2 World Developing Asia 1990 12.7 million 2015 5.9 million 1,926 1,494 1,011 544 1990 2011 World Developing Asia Note: Developing Asia is computed for 26 DMCs for $1.25 (2005 PPP). Sources: ADB estimates using data from PovcalNet (downloaded 12 January 2015 ). Povcalnet Database Online (World Bank), accessed 2 October 2015. 1990 45.1 101.8 Source: United Nations Educational Scientific and Cultural Organization Institute for Statistics. 1990 2015 World Developing Asia 7.3 million 2.5 million Sources: United Nations (UN). Millennium Development Goals Indicators Database.http://millenniumindicators.un.org/unsd/mdg/Data.aspx (accessed 6 July 2015); UN Children's Fund. Levels and Trends in Child Mortality Report 2015; ADB estimates. 5

What the MDGs have accomplished (2)? (cont d) Significant gains in the number of population with access to improved drinking water sources. 1990 2015 4.0 billion 1.9 billion 6.6 billion 3.5 billion Impressive accomplishment in cutting the incidence of malaria and tuberculosis. As of 2015, 95 percent of the world s population is covered by a mobile-cellular signal (UN, 2015). World Developing Asia 6

What the MDGs have accomplished (3)? While and there MDGs are many have countries notable successes progress with insufficient is or uneven no data across to assess targets progress. and across economies. Progress Distribution of 45 Economies in Developing Asia, by selected MDG Indicators 100% 80% 60% 53.3 35.6 28.9 31.1 8.9 4.4 4.4 84.4 11.1 11.1 71.1 24.4 17.8 4.4 62.2 75.6 15.6 11.1 33.3 31.1 24.4 51.1 4.4 4.4 2.2 88.9 77.8 11.1 22.2 64.4 4.4 42.2 40% 20% 4.4 37.8 28.9 46.7 28.9 26.7 44.4 33.3 24.4 62.2 31.1 37.8 37.8 37.8 13.3 13.3 15.6 0% 1.1 1.8 2.1 2.2 3.1P 3.1S 3.1T 4.1 4.2 5.1 5.2 5.5 6.1 6.9I 6.9P 7.1 7.8 7.9 MDG 1 MDG 2 MDG 3 MDG 4 MDG 5 MDG 6 MDG 7 Early Achiever On track Off track - Slow Off track - No progress/regressing Insufficient/no data Sources: AIDSinfo online database (http://aidsinfoonline.org/), accessed 6 October 2015); United Nations. Food and Agriculture Organization (FAO). The Global Forest Resources Assessment 2015. United Nations. Millennium Development Goals Indicators Database (http://millenniumindicators.un.org/unsd/mdg/data.aspx), accessed 14 July 2015); UNESCO Institute for Statistics (http://www.uis.unesco.org, accessed 3 August 2015); World Health Organization-UNICEF Joint Monitoring Programme for Water Supply and Sanitation (http://www.wssinfo.org/), accessed 16 June 2015); For Taipei,China, various economy sources. UN Children's Fund. Levels and Trends in Child Mortality Report 2015. 7

How the progress on the MDGs being monitored? 8

MDG Monitoring International - United Nations MDG Indicators database Outcome of Inter-Agency Group and Expert Group (IAEG) on MDG indicators 9

MDG Monitoring (2) United Nations MDG Indicators database (2) Global UN MDG database United Nations Statistics Division (UNSD) Country Data Country Global Adjusted monitoring Modeled Estimated data International sources (International agencies WHO, World Bank, UNESCO, etc. National National sources (National Agencies NSOs, NSIs) Census Surveys Administrative sources Other sources, nec. 10

MDG Monitoring (3) The Progress assessment regional level Since 2004, the ESCAP/ADB/UNDP partnership has produced regional reports on the achievements and development challenges of the MDGs. Asia-Pacific Regional MDGs Report 2014/15 9th series Three key issues for implementation of SDGs: (i) technology, (ii) finance, and (iii) statistics. 11

MDG Monitoring (4) The Progress assessment national level National MDG progress reports have been prepared periodically by the countries to monitor MDGs at the national level. 12

What are the lessons of MDG monitoring? 13

Lessons from the MDG Monitoring Global framework helped rally support around goals in different sectors. Simple and time-bound (mostly) quantifiable indicators. Reasonably easy to state printed back to back on an A4 size paper. Global, regional, and national MDG progress monitoring reports improved public attention and support development outflows; and Some developing countries utilized the data to improve public programs and incentivize development progress. 14

Lessons from the MDG Monitoring (2) Strengthened and improved data availability over time, extensive data collection through household surveys - LSMS, MICS, DHS (supported by the WB, UNICEF and USAID), government supported data. IAEG MDGs: improved data collection efforts. Many countries prepare national strategies for the development of statistics, support to NSS from various international partners (ADB, World Bank, UNDP, EU, etc.) 15

Lessons from the MDG Monitoring (3) On Setting Targets One-size-fits-all targets ignored diverse country realities. But many countries while adopting the targets customised adapting to national context. Emphasis on national averages did not adequately account for inequalities. Some countries created additional targets for marginalised populations and/or regions. 16

Lessons from the MDG Monitoring (4) percent On Data Issues Data gaps - more in small island economies in the Pacific in the region. Percent Distribution of 58 MDG Indicators, by Number of data points: 1990 2015 or latest year 100% 80% 41.4 32.8 31.0 36.2 32.8 36.2 32.8 31.0 with more than 5 data points 60% 40% 50.0 56.9 56.9 56.9 58.6 58.6 62.1 63.8 with 3 to 5 data points with less than or equal to 2 data points 20% 0% Note: FSM= Federated States of Micronesia; PNG= Papua New Guinea. Figures presented in the graph covers 58 MDG indicators for 43 developing economies in Asia and excludes MDG indicators 8.1 to 8.13. Indicators such as (i) Gender parity in primary, secondary, and tertiary education; (ii) Antenatal care coverage for at least one visit and for at least four visits, (iii) Condom use at last highrisk sex 15 24 years by sex, (iv) Proportion of population aged 15-24 years with comprehensive correct knowledge of HIV/AIDS by sex, (v) Incidence and death rates, all ages and 0 4 years associated with malaria, (vi) Incidence, prevalence and death rates associated with tuberculosis, (vii) Proportion of tuberculosis cases detected and cured under directly observed treatment short course, and (viii) CO2 emissions, total, per capita and per $1 GDP (PPP) by CDIAC are monitored separately for ADB developing member economies Sources: United Nations. Millennium Development Goals Indicators Database (http://millenniumindicators.un.org/unsd/mdg/data.aspx), accessed 04 October 2015); UN Children's Fund. Levels and Trends in Child Mortality Report 2015. Food and Food and Agriculture Organization. The Global Forest Resources Assessment 2015. 17

Lessons from the MDG Monitoring (5) MDG 1 MDG 2 MDG 3 MDG 4 MDG 5 MDG 6 MDG 7 Afghanistan Armenia Azerbaijan Bangladesh Bhutan Brunei Darussalam Cambodia China Cook Islands Fiji Georgia India Indonesia Kazakhstan Kiribati Korea, Republic of Kyrgyzstan Lao PDR Malaysia Maldives Marshall Islands FSM Mongolia Myanmar Nauru Nepal Pakistan Palau PNG Philippines Samoa Singapore Solomon Islands Sri Lanka Tajikistan Thailand Timor-Leste Tonga Turkmenistan Tuvalu Uzbekistan Vanuatu Viet Nam On Data Issues (2) Timeliness - very old data to assess progress Year from the latest available data point (MDG database, October 2015) MDG Indicator 1.1 '13 '05 '10 '12 '12 '10 '09 '13 '11 '10 '13 '12 '12 '09 '10 '10 '11 '12 '12 '09 '12 '98 '03 '12 1.8 '13 '10 '13 '14 '10 '14 '10 '04 '09 '14 '13 '11 '14 '12 '06 '09 '13 '10 '14 '13 '10 '14 '12 '12 '12 '10 '06 '13 '13 2.1 '12 '10 '13 '13 '12 '97 '13 '12 '13 '12 '12 '13 '14 '13 '13 '05 '07 '11 '13 '13 '13 '13 '12 '13 '14 '09 '11 '13 '11 '05 '13 2.2 '11 '11 '12 '11 '12 '97 '12 '11 '12 '01 '11 '12 '03 '13 '12 '12 '11 '08 '03 '09 '13 '12 '97 '08 '11 '12 '12 '11 '00 '05 '10 '08 '12 3.1.a '13 '09 '12 '11 '13 '13 '13 '13 '13 '12 '13 '12 '12 '13 '09 '14 '13 '13 '05 '07 '11 '14 '13 '10 '12 '14 '13 '14 '12 '13 '12 '13 '13 '14 '13 '11 '13 '13 '11 '13 '13 3.1.b '09 '12 '12 '13 '13 '08 '13 '13 '12 '13 '13 '13 '13 '08 '14 '13 '13 '12 '04 '09 '10 '12 '14 '13 '14 '12 '13 '12 '12 '13 '14 '13 '11 '13 '13 '11 '10 3.1.c '11 '13 '12 '12 '13 '13 '11 '13 '13 '13 '12 '13 '14 '13 '13 '12 '08 '12 '13 '12 '13 '13 '13 '99 '13 '13 '14 '13 '10 '03 '11 '13 4.1 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 4.2 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 5.1 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 5.2 '11 '10 '11 '14 '12 '09 '14 '13 '08 '13 '13 '08 '13 '11 '09 '97 '14 '12 '13 '11 '10 '09 '13 '10 '14 '13 '10 '06 '13 '09 '07 '07 '12 '12 '10 '12 '00 '07 '06 '13 '14 5.5.a '11 '10 '11 '14 '12 '09 '14 '13 '10 '06 '13 '11 '09 '14 '12 '13 '09 '13 '10 '14 '13 '10 '06 '13 '07 '12 '12 '10 '00 '06 '13 '14 6.1 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 6.9.a '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 6.9.b '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 '13 7.1 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 7.2 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 '11 7.6 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 '14 7.8 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '14 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '14 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '06 '15 '14 '15 '15 7.9 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '15 '06 '14 '15 '15 '15 Note: FSM= Federated States of Micronesia; PNG= Papua New Guinea. Sources: United Nations. Millennium Development Goals Indicators Database (http://millenniumindicators.un.org/unsd/mdg/data.aspx), accessed 04 October 2015); UN Children's Fund. Levels and Trends in Child Mortality Report 2015. Food and Food and Agriculture Organization. The Global Forest Resources Assessment 2015. Estimated Modeled Estimated Estimated 18

Lessons from the MDG Monitoring (6) On Data Issues (3) Almost half of the data in MDG database are adjusted, estimated, or modeled by international agencies. MDG Indicators by data type, as of October 2015 1.7% 55.2% 44.8% 31.0% 1.7% 10.3% Differences between international and national data sources can have different policy implications. Country Data Country Adjusted Estimated Modeled Global monitoring data Note: Figures presented in the graph cover 58 MDG indicators for 43 developing economies in Asia and excludes MDG indicators 8.1 to 8.13. Indicators such as (i) Gender parity in primary, secondary, and tertiary education; (ii) Antenatal care coverage for at least one visit and for at least four visits, (iii) Condom use at last high-risk sex 15 24 years by sex, (iv) Proportion of population aged 15-24 years with comprehensive correct knowledge of HIV/AIDS by sex, (v) Incidence and death rates, all ages and 0 4 years associated with malaria, (vi) Incidence, prevalence and death rates associated with tuberculosis, (vii) Proportion of tuberculosis cases detected and cured under directly observed treatment short course, and (viii) CO2 emissions, total, per capita and per $1 GDP (PPP) by CDIAC are monitored separately for ADB developing member economies. Sources: United Nations. Millennium Development Goals Indicators Database (http://millenniumindicators.un.org/unsd/mdg/data.aspx), accessed 04 October 2015); UN Children's Fund. Levels and Trends in Child Mortality Report 2015. Food and Food and Agriculture Organization. The Global Forest Resources Assessment 2015. 19

MDGs to SDGs What is the way forward? 20

MDGs to SDGs the Way Forward Success of SDGs will unequivocally depend on availability of data that are accurate, timely, feasible to collect, and available to public. Global, regional and national monitoring is essential for delimitation of responsibilities and ownership of the agenda at different levels. National statistical systems to determine their national priority indicators for sustainable development. 21

MDGs to SDGs the Way Forward (2) Monitoring of the SDGs Handling the complexity Inter-agency and Expert Group on SDGs indicators (IAEG SDGs) Developing a proposal for a global indicator framework for the goals and targets of the SDGs. Faces challenge of selecting indicators for a very comprehensive agenda than its predecessor MDGs. Many of which are non traditional areas of statistics not collected (regularly) by statistical agencies. 22

MDGs to SDGs the Way Forward (3) Monitoring of the SDGs Handling the complexity (2) Difficulty in assessing SDG targets without specific numerical values, or with no internationally agreed definitions. Only a few targets can be fundamentally assessed quantitatively. Out of 169 targets, 49 (29%) are considered well developed, 91 targets (54%) could be strengthened by being more specific, and 29 (17%) require significant work. ICSU, ISSC (2015): Review of the Sustainable Development Goals: The Science Perspective. Paris: International Council for Science (ICSU) 23

MDGs to SDGs the Way Forward (4) Strengthening the National Statistical Systems Needed is strengthening the national statistical systems where the action for data collection lies. Strong call for inclusion in the SDGs requires disaggregated data (sub-national, marginalized, and vulnerable groups). Strengthening of the administrative data systems and civil registration and vital statistics systems essential. Requires integration of the national statistical systems calls for Data Revolution. 24

MDGs to SDGs the Way Forward (5) Move from coordination of NSS to integration of National Information Systems: In terms of integrating people engaged in statistical work across statistical agencies and private sector, In terms of integrating databases of different agencies (population, civil registration, national identification, education, health, firms/institutions), Integrating technology and modernization of statistical operations use of satellite imagery for agriculture and forestry, tablets for data collection and transmission, Integrating unstructured data flowing for example through the internet. IT requires capacity building in data capturing, processing, storage, sharing and integrating and setting uniform standards and protocols. NSOs will have to take a lead role in managing this change. 25

5 th World Statistics Day 20-10-2030 Hope we will celebrate with the theme We did not Leave Anyone Behind Thank You Kaushal Joshi kjoshi@adb.org +63 2 632 5969 www.adb.org 26