Presentation on theme: "1 Assessment of Cambodia’s Statistics Capacity Prepared by Zia A. Abbasi IMF Multi-sector Statistics Advisor, Cambodia for the International Conference."— Presentation transcript:
1 Assessment of Cambodia’s Statistics Capacity Prepared by Zia A. Abbasi IMF Multi-sector Statistics Advisor, Cambodia for the International Conference on Improving Statistics for Measuring Development Results June 4-5, 2003, Washington, D.C. Hosted by the World Bank
2 The Cambodian Context A small economy with low GDP per capita; Agriculture, garments and tourism based; Growing workforce and underemployment; Human Development Index 130 out of 173; Poverty rate of 36 % and poor education and health access; and A small government revenue base.
3 The Statistics Environment Annual appropriations for statistics are estimated at 0.2% of budget, of which $427,000 or 25% is allocated to the National Institute of Statistics (NIS); Lack of an effective legal and institutional environment; Statistics decentralized with everything else, and limited coordination and integration; Limited donor coordination and variable development; and Significant statistical activities of non-government organizations.
4 The Demand for Development Statistics Economic growth and poverty reduction: Millennium Development Goals; National Poverty Reduction Strategy; Macroeconomic stability and economic and finance reforms; Education, health, agriculture and rural development priorities; and Administrative, legal and judicial reforms.
5 Statistics Capacity Development 1993 to 2002 General Data Dissemination System adopted; Statistics Law and Sub-decrees drafted; Improvements in planning, policies and procedures; Improvements in coordination and organization; Improvements in staffing and skills development; Improvements in financing and the priority mission group initiative; Increasing awareness of the need for quality; and Increasing donor cooperation and coordination.
6 Statistics Capacity Development 1993 to 2002 (continued) Improvements in the range and quality of macroeconomic statistics; Increased economic survey capacity and improving administrative collections; Significant improvements in the range and quality of socio-demographic statistics; and Increased household survey capacity and improvements in selected social datasets based on administrative data. Unfortunately, environment and natural statistics have not improved.
7 Statistics Capacity Development 1993 to 2002 (continued) Improvements in user access and dissemination: A growing range of publications; Increased use of electronic dissemination; The NIS Website and Data Users Service Center; An expanded and improved Statistics Yearbook; and A draft data dissemination strategy. The significant role played by donors across government and the increasing level of coordination within the donor community.
8 Recent Statistics Capacity Development Initiatives Review of Statistics Capacity in Cambodia (July 2002) and the Partnerships in Statistics Capacity Building Workshop (October 2002); Workshop outcomes: Increased awareness and understanding; Greater government commitment; and Increased donor interest and commitment.
9 Recent Statistics Capacity Development Initiatives (continued) Specific areas of interest and/or commitment: Prerequisites of quality and statistics (I.e. legislation, planning, governance, coordination, resources and dissemination) – Government, JICA, UK-DFID, UNDP and World Bank; Macroeconomic statistics – ADB and IMF; Economic statistics – ADB, FAO, JICA/JOCV; Socio-demographic and poverty statistics – UNDP, UNICEF, UNESCO, UNFPA, World Bank, GTZ, JICA, WHO and others.
10 Key Data Issues – Prerequisites of Quality An integrated and appropriately financed National Statistical System: Enactment and enforcement of statistics legislation and regulations; Regular user consultation and the establishment of the Statistics Advisory Council; Formal coordination and institutional arrangements, and the Statistics Coordination Committee; Acceptance of the role of the NIS and leveraging of its data collection and processing capacity;
11 Key Data Issues – Prerequisites of Quality (continued) A gradual increase in government appropriations to at least 1% of budget, and continuing and coordinated donor support. Appropriate staffing and remuneration, and an integrated skills development strategy, including regular surveys to build experience; Appropriate facilities, computing and other equipment; Progressive implementation of quality assessment; and Effective planning, monitoring and evaluation of statistics activities and development.
12 Key Data Issues – Integrity and Methodological Soundness Independence of statistics and autonomy of the NIS and other statistics units; Transparent statistical policies and procedures developed and implemented; Improved ethical standards as part of overall civil service reforms; and Progressive implementation of internationally accepted standards, in terms of data coverage and scope, concepts, definitions, classifications, and other standards.
13 Key Data Issues – Accuracy and Reliability Need for regular and integrated establishment and household surveys, and economic censuses to address significant gaps in source data; Need to establish an integrated business register; Need for quality assessment and improvement of administrative and survey data; Need for the assessment and improvement of statistical methods, processes and procedures; and Strengthening intermediate and final outputs.
14 Key Data Issues – Accessibility and Serviceability Implementation of GDDS and other standards and requirements (e.g. ASEAN), in relation to consistency, periodicity, and timeliness of data dissemination, and revision policy and practices; Need to significantly improve data and metadata access (e.g. implement data dissemination strategy); Need to improve documentation and dissemination of metadata; and Strengthen data user services.
15 Measuring Data Quality and Statistics Capacity Frameworks and other assessment tools: GDDS Framework officially adopted and being implemented; Data Quality Assessment Framework, being applied selectively; PARIS21 Statistics Capacity Building Indicators; and Various other assessment tools used by donors (e.g. UNDP in relation to MDG data requirements).
16 Conclusion - Critical Success Factors Greater awareness and understanding amongst government and the donor community; Appropriate financing and integrated development (e.g. the 4 STA-TCAP concept); Ownership and commitment; Champions and leaders in government; Pragmatic, coordinated and integrated donor support. Thank you.