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11 th Five-Year Plan: M&E Indicators and the Statistical Underpinnings. Wang Pingping October 2006. The Preliminary M&E Framework for the 11th Five-Year Plan: Introduction. Five Guiding Principles – “Five Balances” 20 Goals – 4 goals for each Balance 80 candidate indicators.
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11th Five-Year Plan:M&E Indicators and the Statistical Underpinnings Wang Pingping October 2006
The Preliminary M&E Framework for the 11th Five-Year Plan: Introduction • Five Guiding Principles – “Five Balances” • 20 Goals – 4 goals for each Balance • 80 candidate indicators
The Preliminary M&E Framework for the 11th Five-Year Plan: A Snap Shot
Selecting Indicators: from an indicator database • Economic indicators: Measuring economic performance drawing upon the national accounts, the balance of payments covering current and capital account transactions, price statistics, fiscal data and monetary and banking aggregates. • Social indicators linked to the Five Balances to reflect key policy concerns: education, health, urbanization, poverty, social security, gender, ethnic minorities etc. • Environmental and natural resource linked indicators linked to resource use (energy, land, forestry and water use,) levels of pollution and expenditures on abatement
Assessing Data Availability for the Indicators • Periodically disseminated: 41 • Collected but not disseminated: 24 • Not collected: 7 • Inconsistent among agencies: 8
Ongoing Work to Refine the Indicators • Suggestions from Brainstorm Meeting with Local Experts • Number of indicators could be reduced • Candidate indicators to be deleted: e.g., • 38. Percent of GDP in agriculture, industry and tertiary. • 67. Total fertility rate • 68. Commitment to WTO • Candidate indicators to be added: e.g., • Percent of rural women giving birth in hospital • Number of people who joined the Workers Union
Work to Refine the Input Indicators • Suggestions from Brainstorm Meeting with Local Experts • The input indicators are very important • Nobody domestically has ever designed an input matrix at the national level • In addition to investment as % of GDP, should include as % of government revenue and so on.
Assessment on Statistical System • Key Strengths: • Strong and sustained political support • Visionary NBS leadership committed to change; greater client focus and transparency. • Good infrastructure, especially in the IT area • Willing international partners, multilateral and bilateral providing technical assistance
Assessment on Statistical System • Weaknesses: • Less than clear division of responsibilities between components of the statistical system • Absence of institutional mechanisms for coordination; data sharing, introduction of uniform methods and standards • Statistical infrastructure (Frames, Registers, Classifications) inadequately developed • Statistical work suffers from insufficient funding and human resources, especially the survey teams and lower-level statistical agencies • There are still relatively big data gaps, statistics on tertiary industry are incomplete, public information are not clearly categorized, insufficient data consistency.
Assessment on Statistical System • Opportunities • Window of opportunity provided by the preparation of a Strategic Master Plan for statistical reforms that would permit the pursuit of institutional reforms including the definition of responsibilities of the different components of the system; • Adoption of a focused Work Program which will center on the data collection priorities linked to the goals of the 11th Five Year Plan in order to respond to the new demands;
Assessment on Statistical System • Threats: • Without a full package of reforms the statistical system will be unable to deliver data outputs demanded by users and provide better statistical services for the policy making process; • Growing loss of confidence by users on statistical outputs • Increased respondent resistance
Next Steps • Understand the need and requirement to data • Make formal and proper arrangement about the data collecting and dissemination at NBS and relevant agencies • Require NBS to clean and analyze the data • Strengthen statistical capacity • Set up consultant group to evaluate