Garments And Tourism

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Garments And Tourism

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

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