Results of the 2013 Country Assessment of Agricultural Statistics Systems and conclusions and recommendations of the Workshop on ASCI

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1 Action Plan of the Global Strategy for Improving Statistics for Food Security, Sustainable Agriculture & Rural Development in Africa ( ) December 2013, Rabat, Morocco Results of the 2013 Country Assessment of Agricultural Statistics Systems and conclusions and recommendations of the Workshop on ASCI Vincent Ngendakumana Statistical Capacity Building Division Statistics Department Economic Complex African Development Bank 1

2 1. Justification 1. Lack of updated and comprehensive baseline information for the M&E system 2. Complete assessment of the statistical needs and capabilities + State of produced/disseminated data + methodology used 3. Development of national strategies/action Plans + Integration of agricultural statistics into the overall NSDS. 4. Prioritization of activities according to country actual needs.

3 2. Nature of needed information Data produced and their quality (minimum set of core data) National capacity to produce sustainably the required minimum core data (legal framework, infrastructure/equipment, human resources, financial resources, etc..) Auxiliary data (Re administrative data) Country governance structure (Re responsibility and coordination, etc.) National current/future needs and demands Status of integration of agriculture into the NSS needs, development of a master sample frame, integrated survey framework, etc. Identification of constraints and critical areas of intervention; and Data user satisfaction Determination of training and TA needs Etc.

4 3. Expected outputs Country profiles and identification of countries requiring special attention; Grouping and ranking countries in terms of data quality and statistical development levels; Elaboration of relevant and appropriate national plans of action; To guide the choice of methods to develop the master sampling frame, the integrated survey framework, and the data management system; Prioritizing the areas of intervention; and M&E baseline information and progress assessment.

5 4. Country Assessment process Which Approach

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7 Country assessment operations Designing an appropriate questionnaire and guidelines for data collection/compilation, a web-based system, ASCI templates, Data tabulation, etc.; Field testing and validating tools (questionnaires, etc.); Training of data collectors and launching workshop; Establishing national governance structures Data collection/compilation + CA follow-up missions; Data checking, processing and indicator calculations; Data analysis; and Reporting on country profiles/ranking/grouping, database of baseline information, and building indicators of data quality and statistical development.

8 5. Overview of the Country Assessment Questionnaire

9 Overview of the Country Assessment Questionnaire Module I: Overview of the National Statistical System - Section 1 Institutional environment - Section 2 Core data availability Module II: NSO ongoing statistical activities & constraints - Section 1: Main statistical activities - Section 2: Critical constraints in agriculture statistics system Module III: Information on sub-sectors of agriculture - Section 1: Main statistical activities of the sub-sectors - Section 2: Critical constraints in agriculture statistics system Excel templates - Reporting on minimum core data set - Quality of minimum core data set

10 6. Reporting Status

11 Reporting status of different CA cycles 60 Chart 1 - Trend of CA data reporting Respoonse number Response number

12 Reporting status of different CA cycles (Cn t)

13 Reporting Status by 2013 CAQ module CAQ Module 1 Module 2 Module 3 Total Complete Total Incomplete Total Missing NB: - By 29 Nov 2013, 10 other CAQ have been received: Algeria, Chad, Comoros, Cong Rep, Eq. Guinea, Guinea Bissau, Lesotho, Libya, Somalia and Zimbabwe - 2 Non reporting countries: CAR and Eritrea - 14 Countries provided complementary info: Burkina Faso, DRC, Cote d'ivoire, Gabon, Kenya, Liberia, Madagascar, Namibia, Niger, Rwanda, Sao Tome, Senegal, RSA and Togo

14 6. Method for calculating Agric Stat Capacity Indicators (ASCI) for Africa

15 Agricultural Statistics Capacity Assessment Framework The proposed framework follows a Total Quality Management (TQM) approach. In addition to focusing on results chain of INPUT -THROUGHOUT- OUTPUT, it recognizes that realization of capacity into performance also needs an enabling environment, which is captured by inclusion of PREREQUISITES dimension (preconditions), mostly characterized by the prevailing institutional infrastructure

16 Agricultural Statistics Capacity Dimensions Four dimensions are considered to measure the capacity of each country/nss/nass to produce Agricultural Statistics: Prerequisites Dimension Indicators on Institutional infrastructure; Input Dimension Indicators on Resources; Throughout Dimension Indicators on Statistical methods and practices; Output Dimension Indicators on Availability of statistical information. Composite ASCIS: Aggregation of the four Dimensions Each of the 4 dimensions represents a set of elements of capacity.

17 Agricultural Statistics Capacity Elements by Dimension Capacity Dimensions I. Institutional Infrastructure (PREREQUISITES) II. Resources (INPUT DIMESNION) III. Statistical Methods and Practices (THROUGHPUT DIMENSION) IV. Availability of Statistical Information (OUTPUT DIMENSION) Elements 1.1 Legal Framework 1.2 Coordination in Statistical System 1.3 Strategic Vision and Planning 1.4 Integration of Agric. in NSS 1.5 Relevance (user interface) 2.1 Financial Resources 2.2 Human Resources: Staffing 2.3 Human Resources: Training 2.4 Physical Infrastructure 3.1 Statistical Software Capability 3.2 Data Collection Technology 3.3 IT infrastructure 3.4 General Statistical Infrastructure 3.5 Adoption of International Standards 3.6General Statistical Activities 3.7 Agricultural Market and Price Information 3.8 Agricultural Surveys 3.9 Analysis and Use of Data 3.10 Quality Consciousness 4.1 Core Data Availability 4.2 Timeliness 4.3 Overall Data Quality Perception 4.4 Data Accessibility

18 Scoring the Capacity Elements Each of the Capacity Element is explained by a number of CA questions. Scores are affected to different modalities of concerned questions; A total score is deducted (in %) for each Element; An average score (in %) is calculated for all Elements of each Dimension; Composite ASCI: Average (in %) of the 4 dimensions.

19 Example of compiling ASCI for Legal Framework Element Relevant questions: Q 1.2.1: Is there a legal or statutory basis for statistical activities in the country in general? If Yes to Q1.2.1, Is it operational? Q 1.2.2: Does there exist a legal basis for collection of agricultural statistics? Q1.2.2a If Yes to 1.2.2, how adequate is the legal framework for agriculture statistics? (1) Inadequate (2) Fairly adequate (3) Fully adequate.

20 Example of Scoring criteria for Legal Framework Element Max. Score = 5 marks If Yes 1 mark No 0 marks Operational Yes 1 mark No 0 marks If Yes 1 mark No 0 marks If 1.2.2a Fully adequate 2 marks Fairly adequate 1 mark Inadequate 0 marks Indicator = (Total Country Score/ Maximum Score) x 100

21 Mapping Standard ASCIs to Africa context Maximum score reviewed in line with the actual number of questions under each Capacity Element. Score of each Question reviewed to align it to actual modalities. Summing Scores of the same relevant questions in Module III (E.g.: Number of staff, etc.). -> Mapping Questions to Indicators (Standard <> Africa) has been established to easy the result interpretation and enable comparability between Africa and other regions

22 7. ASCI Main Results for Africa

23 Agric. Statistics Capacity Indicators (ASCIs) Prerequisite s- Level of Institutional Infrastructure in Africa Relevance of data Legal framework Coordination in NSS Integration of agric in NSS Strategic vision and agric.stat planning

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33 Country Profile Case of Uganda

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38 Profile of Agriculture Statistics System - Uganda Capacity level (%) Legal framework Coordination in NSS Strategic vision and agric. stat planning Integration of agric in NSS Relevance of data Financial resources Human resources: staffing Human resources: training Physical infrastructure Statistical software capability Data collection technology Information technology infrastructure Adoption of international standards General statistical activities Agric. market and price information Agricultural surveys Analysis and use of data Quality Consciousness Core data availability Timeliness Overall data quality perception Data accessibility Uganda Africa Institutional Infrastructure Resources Statistical Methods and Practices Availability of Statistical Information Very weak (0-20%), Weak (20-40%), Average (40-60%), Strong (60-80%), Very strong (80-100%) Capacity elements

39 8. Other CA Tabulated Data

40 Legal and administrative framework for the collection of statistics Percent Yes Yes Yes No Inadequate Fairly adequate Existence of legal or statutory basis for statistical activities in country Fully adequate Is it Existence of a legal basis How adequate is the legal framework operational for collection of agric. stats for agric stats. Legal framework Exists and active Exists but not active Does not exist Existence of an active NS council, board or committee

41 Dialogue with data users- 2007, 2009 and 2013 Existence of an official forum for dialogue between suppliers and users of agricultural statistics Year of data collection Frequency % Frequency % Frequency % Yes No Subtotal % % % % % % % % %

42 Information technology Percent Yes No Yes No Yes No NSO has website for hosting official statistics Existence of database for official statistics Accessibility of database to external users on internet level of Information Technology

43 9. Outlines of the Main Report

44 Contents of the main report Introduction and background Design and methodology Experience, lesson learnt, constraints and reporting status Results of the CA (+ comparative analysis of 2007/09/13): - Agricultural statistics capacity indicators - Agricultural statistics capacity indicators - State of the national statistical system - Level of resources availability for agricultural statistical activities - Status of ongoing statistical activities - Other related statistical activities - Critical constraints in agricultural statistics systems - Conclusions and Recommendations Country profiles Supplementary tables

45 10. Experience and lessons learnt Requirement to adapt the standard CA instruments to the regional context and specificities Importance of field-testing the CA instruments Development of a web-based application for data submission Usefulness of the training workshop on CA instruments and process CA follow-up missions + s and telephone calls, data checks and the validation process Development of an adapted Excel Model to generate ASCIs and Charts Going beyond the simple ASCI calculation: Trend and comparative analysis of CA cycle data Workshop for countries to review/endorse/own CA

46 11. Main constraints met Repetitive revisions of the standard version of the CA questionnaire after the Africa one was finalizes and already administrated to countries: -> Mapping Africa <> Standard Unavailability of a comprehensive and detailed guidelines for the completion of the questionnaire The follow-up and monitoring of timely responses from countries is quite exigent: Quid Module III

47 12. Conclusions and recommendations of the workshop on ASCI for Africa

48 Objectives of the Workshop To review, validate and launch ASCIs that aim at measuring the capacity of countries to produce food, agricultural and rural statistics. To secure agreement on the way forward, to ensure a unified approach backed by strong country ownership. Training on the use of the In-depth Country Assessment and SPARS Guidelines. NSCs thereafter expected to organize national data userproducer workshops to initiate In-depth Assessments of their countries specific needs and capacities and develop SPARS.

49 Agenda of the workshop Session 1: Topics and discussion of the First Stage of Country Assessment (CA) process and results (1.5 day) Session 2: Guidelines on the In-Depth Country Assessment (IdCA) process Session 3: Guidelines on the Sectoral Strategic Plans of Agricultural and Rural Statistics (SSPARS) Session 4: Validation of CA/ASCI results and way forward

50 Organization of the workshop Venue and date: Rabat, Morocco, Nov 2013 Attendance: 85 participants, from 50 Afric. And 6 Inter. And Reg. institutions Workshop report prepared: including main conclusions, recommendations and way forward

51 Main conclusions Approval of the ASCI methodology Approval of the structure of the country profile and CA report outlines The workshop marked the end of receiving country responses on the CA Questionnaire and revised data AfDB to finalize both ASCI and CA main report based on the latest information/data received

52 Main recommandations Proposal for a Communication Strategy for wide dissemination of CA results Develop a mechanism to coordinate all stakeholders concerned to avoid duplication of efforts and resources Best country practices to be compiled and be shared through communication means such as websites Support should be given to countries to build agriculture statistical capacity based on the needs identified by the workshop Develop follow-up mechanism to closely supervise countries and regularly monitor implementation of the Action Plan where needed

53 Main recommandations (Cnt ) Consistent sensitization campaign should be carried out in all countries to support timely implementation of the Action Plan The official forum for dialogue between data users and producers could be enhanced by identifying the concerns associated with countries which are unable to have such platforms and address them accordingly Country governments are called upon to mobilize adequate financial and human resources needed for timely and successful implementation of the Action Plan Priority to be given to countries which have not received TA during the last 3 years (additional criteria when selecting/ grouping countries for the phased implementation of the AP To undertake strategic plans for agriculture and rural statistics to be developed without delay (IdCA being part of SPARS)

54 Way forward Responsible party Actions Deadlines Presentation of the workshop report to the 23 rd AFCAS 1 Session 4th December 2013 AfDB Establishment of National Governance Structures 2 where this is not yet done 31st March 2014 Countries 3 Strategy for disseminating the CA results 31st January 2014 AfDB 4 Finalize ASCIs and CA Main report, Flyer, etc 31st January 2014 AfDB 5 Testing/Piloting SPARS 28th February 2014 AfDB and FAO 6 Compiling and documenting country IdCA experiences (Uganda, Tanzania, Mali, Burkina Faso, etc.) 28th February 2014 AfDB and FAO 7 Standards SPARS guidelines 31st March 2014 FAO Launching SPARS development/formulation (incl. 8 IdCA) Regional workshop mid April 2014 AfDB 9 Finalize the schedule of key short-term activities (TAs) 31st January 2014 AfDB 10 Communication, AfDB quarterly Bulletins and GO ebulletins - AfDB and FAO 11 CA mid-term review (in 2015) 2015 AfDB and Countries 12 Installation in the first six countries and one regional training of DataM 31st March 2014 JRC/EU and AfDB

55 Request to the 23 rd Session of AFCAS: To endorse the outcome of the ASCI workshop: Main conclusions, recommendations and way forward

56 Thank you for your kind attention