MEASURING UP TO THE 2030 AGENDA: THE CONTRIBUTION OF FAO. Pietro Gennari FAO Chief Statistician

Transcription

1 MEASURING UP TO THE 2030 AGENDA: THE CONTRIBUTION OF FAO Pietro Gennari FAO Chief Statistician

2 SECTION 1: RECENT DEVELOPMENTS AND POTENTIAL ISSUES IN GLOBAL REPORTING

3 MAIN DECISIONS TO DATE: THE GLOBAL INDICATOR FRAMEWORK (GIF) 230 unique global SDG indicators were approved by the Statistical Commission in 2016 as a practical starting point. The IAEG-SDG was requested to continue refining the GIF The 2017 Commission is expected to endorse the IAEG-SDG report, which: Proposes the formal endorsement of the GIF and its revision process Proposes a first set of refinements to a handful of indicators Presents a list of 36 additional indicators that will be subject to open consultation in 2017 SDG indicators are classified in 3 Tiers on the basis on the

4 MAIN DECISIONS TO DATE: ROLE OF CUSTODIAN AGENCIES The IAEG-SDG report, for the first time, formally recognizes the role of custodian agencies in global reporting For each indicator one, or more, custodian agencies are identified. Custodian agencies are responsible for: collecting national data, harmonizing them, producing regional and global aggregates (international statistics not just the sum of national statistics) further methodological development and documentation of the indicators contributing to strengthen the statistical capacity development of countries to generate and disseminate national data contributing to monitor progress at the global, regional and national levels (e.g. storyline for the annual SDG report)

5 ISSUES IN GLOBAL REPORTING Global indicators as core set of metrics that all countries are invited to monitor (but voluntary and country-led instrument). They can be complemented with national or thematic indicators In general, global monitoring should be based on data produced by countries. Potential contradiction 1: how can regional and global estimates be produced on the basis of national data if countries use national indicators that differ from the GIF? Potential contradiction 2: In the absence of national data, International Organizations may be forced to use non-official data or modelled estimates to compile global indicators. But IOs estimates must be validated by countries before publication. How this can be done if national data are not available?

6 POTENTIAL CONSEQUENCES Some SDG indicators may not be monitored at national, regional and global levels. Assessment of progress in these areas of development will not be possible => the global community cannot take informed investment decisions on these areas of development Statistical capacity development efforts by International Organizations will be hampered. Difficult for IOs to provide appropriate technical assistance for strengthening national capacity to monitor the SDGs and for funding data collections Enormous burden on countries with national indicators different from the global indicator framework, if they decide to contribute to global reporting. Alignment of national and global indicators is in the best interest of Countries and International Organizations

7 SECTION 2: THE CONTRIBUTION OF FAO

8 FAO AND THE SDGS: REALIGNMENT FAO Strategic Programs refocused to contribute to the SDGs 53 SDG indicators incorporated in corporate results matrix SDGs standing items in CFS, COAG, COFI, COFO and five Regional Conference Country Programming Frameworks aligned with national SDG targets Assumed custodian responsibility for data on 21+6 SDG indicators 14/02/2017 8

9 FAO CONTRIBUTION TO SDG MONITORING Goal FAO as custodian agency (21 indicators) Indicators Goal a.1 2.c.1 Goal 5 5.a.1 5.a.2 Goal Goal Goal b.1 Goal

10 FAO CONTRIBUTION TO SDG MONITORING FAO as contributing agency Goal Indicators Goal Goal 2 2.a.2 Goal c.1 Goal

11 FAO POTENTIAL CUSTODIAN AGENCY OF ADDITIONAL INDICATORS Of the 36 additional indicators proposed, five are relevant to FAO: 2.2: Anemia among women of reproductive age 2.a: Private investment in agriculture 6.4: Number of individuals that experience water stress or water shortages 14.7: Economic impact of sustainable fisheries, aquaculture, tourism and other marine resources uses 14.7: Productivity of aquaculture If these indicators are eventually accepted, FAO could be requested to assume custodianship of some of them, thus further increasing its role in monitoring the SDGs

12 FAO CONTRIBUTION TO GLOBAL REPORTING FAO has submitted storylines and data (only for Tier I and II category indicators) for the 2017 edition of the SDG progress reports, which will feed into the 2017 High Level Political Forum (HLPF) deliberations will focus on Goals 1, 2, 3, 5, 9, 14 and 17 New data could not be submitted for SDG 2.1 indicators, given the new stricter deadlines, and the need to allow enough time for prior country consultation In 2018 FAO will align the production of the SDG indicators to the reporting cycle of the SDG report Revamp of FAO flagship publications to report on the FAO-

13 FAO CONTRIBUTION TO SDG INDICATOR METHODOLOGIES FAO submitted updated workplans for the 11 Tier III category indicators under its custodianship In some cases, ongoing work on internationally agreed definition, for example: Definition of smallholder (indicators and 2.3.2) Definition of rural/urban areas (most SDG indicators) In other cases, ongoing work on an internationally agreed methodology, (e.g. women s access to land - 5.a.1, measurement of agricultural sustainability , etc.) To address such cases, FAO has been spearheading the development of new methodological proposals, organizing Expert Meetings and Global Country Consultations in order to garner international consensus. The aim will be to upgrade all of the Tier III indicators under FAO

14 FAO CAPACITY DEVELOPMENT PLANS FOR SDG REPORTING Capacity Development Strategy: Producing new survey/tools as global public goods Partnering with other IOs (e.g. add short modules to future surveys) Use the SDGs as opportunity to design and implement an integrated national survey programme Use of new data sources (e.g. remote sensing) Catalytic fund established at FAO to support capacity development efforts though E-learning courses, Training of Trainers & Regional workshops

15 EXAMPLES OF FAO TECHNICAL ASSISTANCE FOR SDG REPORTING Supporting countries to adopt the Agricultural and Rural Integrated Survey programme (AGRIS) to enable them to collect data for a range of new SDG indicators (e.g , 2.3.2, 2.4.1, 5.a.1). (in partnership with the WB, GRAINS partnership) Implementation in 4 countries for 5 years funded by USAID Indirect support to the implementation in 15 countries funded by BMGF Link to implementation of the 2020 World Programme of the Census of Agriculture Supporting 8 countries to include the Food Insecurity Experience Scale (2.1.2) module into national surveys, funded by Belgium Advising 11 countries on improving the measurement of food consumption in HH budget surveys to estimate the Prevalence of Undernourishment (2.1.1), funded by Belgium Pilot testing of data collection on water use efficiency (6.4.1) in 5

16 WHAT IS AGRIS? A 10 year farm-level integrated survey programme developed and tested under the Global Strategy to improve Agricultural Statistics (Global Office hosted by FAO) Aims to address the lack of key agricultural data (including SDGs) at national and subnational levels and to lay the foundations of an efficient agricultural statistical system. AGRIS will provide: most of the Minimum set of core data recommended by the Global strategy direct data for 5 SDG indicators essential data for 16 SDG indicators Come with a standard methodology proposed not imposed- to countries for further customization + implementation Generates representative estimates national/province/district Inform policy design and implementation, improve market efficiency and support research

17 WHAT IS THE FIES? Module of 8 YES/NO questions: Simple to apply at low cost Measures the constraints in accessing food of households or individuals Distinguishes moderate and severe levels of food insecurity: Indicator valid for developed countries, useful for early warning Results comparable across countries Produces timely, reliable and actionable information to guide policy Deepens our understanding of the determinants and

18 THANK YOU

19 WHAT IS AGRIS? Statistical Units All agricultural holdings Household sector (INCL. SMALL HOLDERS) Non-household sector Modular Structure Synchronized with the Agricultural Census and operates over a 10-year cycle to provide a regular flow of quality data Core Module: yearly data collection on current agricultural production (crop and livestock) integrated with key economic, technical and socio-demographic statistics Rotating Modules : thematic data to be collected with lower frequency (2-5 years): economy, labour, machinery-equipment-assets-decisions, production methods & environment. Sample design Versatile sampling strategy, able to meet different country situations Multiple waves for data collection possible (labour, economy) Rotating sample for the core module Sub-sample of the core module for the rotating modules Data collection Face-to-face interviews Questions = Subjective => link with objective measurements