2012年-世界发展银行全球_Building_Results_Frameworks_for_Safety_Nets_Projects_55页_1mb

Summary of "Building Results Frameworks for Safety Nets Projects"

Core Content

This document provides guidance on how to build results frameworks for social safety net (SSN) programs, with a focus on results-based management (RBM). It outlines the key steps in developing these frameworks, discusses the types of key performance indicators (KPIs) that should be included at each level of the results chain, and presents examples of results chains and frameworks for various SSN program types.

The document emphasizes the importance of monitoring and evaluation (M&E) throughout the program lifecycle and highlights the need for reliable data sources and institutional capacity to support effective performance tracking. It also discusses the role of service quality and the hierarchy of outcomes (short-term, intermediate, and final) in assessing program impact.

Main Steps in Developing Results Frameworks

1. Outlining the results chain

   • A results chain clarifies the theory of change and links inputs, activities, outputs, and outcomes.
   • It includes inputs, activities, outputs, service quality, and outcomes.
   • A standardized approach is suggested for describing the hierarchy of objectives (see Box 1).

2. Selecting key performance indicators (KPIs)

   • KPIs should be selected for all levels of the results chain.
   • Indicators at lower levels (inputs, activities, outputs) are monitored more frequently than those at outcome levels.
   • KPIs should include calculation formulas, monitoring frequency, data sources, and institutional responsibilities.

3. Identifying data sources

   • Data sources are categorized into:
     • Administrative data (e.g., payment records, beneficiary registries)
     • Tailor-made data sources (specific to the program)
     • National surveys (e.g., household surveys for outcome measurement)
   • A combination of these sources is recommended for a comprehensive performance monitoring system.

Key Performance Indicators (KPIs) by Level

Input Indicators

• Measure budget spending progress.
• Examples: percentage of loan disbursement relative to total or planned disbursement.

Activities or Process Indicators

• Focus on efficiency and compliance in operational processes.
• Examples:
  • Application process duration
  • Percentage of complete and consistent applications
  • Average cost of food distribution
  • Percentage of payment errors
  • Average cost per recertification
  • Percentage of beneficiaries recertified on time
  • MIS functionality (e.g., percentage of local units using MIS, average time to update records)

Output Indicators

• Measure program coverage and benefits delivery.
• Examples:
  • Percentage of beneficiaries who received cash transfers in the last period
  • Average per capita transfer
  • Transfer value relative to beneficiary consumption or income

Service Quality Indicators

• Cover aspects like accessibility, fairness, privacy, cultural awareness, and grievance mechanisms.
• Examples:
  • Staff adherence to service standards
  • Travel time to facilities
  • Perception of service accessibility
  • Staff knowledge of cultural backgrounds
  • Complaint resolution time
  • Number of complaints and unresolved cases

Outcome Indicators

• Measure intended changes in knowledge, behavior, and conditions.
• Examples:
  • Inclusion rate of target population
  • Incidence and distribution of beneficiaries across quintiles
  • Leakage rate (non-target beneficiaries)
  • Targeting differentials
  • Coady-Grosh-Hoddinott indicator
  • Coverage in poor regions

Special Considerations

• Disbursement Linked Indicators (DLIs) are used in results-based lending.

  • They are output and outcome indicators that trigger disbursements.
  • DLIs require policy discussion and technical precision.
  • Examples from the Romania Social Assistance Modernization Project include:
    • Percentage of beneficiaries paid using harmonized means-testing
    • Percentage of beneficiaries receiving lower replacement income
    • Percentage of beneficiaries enrolled in the new consolidated program

• Monitoring frequency varies:

  • Input and activity indicators are often monitored quarterly.
  • Outcome indicators are usually measured annually or every 2–3 years.

• Institutional capacity is essential for effective results-based management, requiring technical assistance and adequate resources.

Key Messages

• Results frameworks are critical for RBM and help clarify program objectives and theory of change.
• All levels of the results chain need indicators to fully understand program performance.
• Administrative data, tailor-made data, and national surveys should be used in combination.
• Service quality is a key dimension that affects both short-term and long-term outcomes.
• DLIs are an important tool for results-based lending, requiring careful design and alignment with program goals.
• Monitoring and evaluation should be integrated into the program design and implementation to ensure impact measurement and continuous improvement.

Conclusion

The document concludes that building results frameworks for SSN programs is essential for effective monitoring and evaluation. It stresses the importance of standardized indicators, data source diversity, and institutional capacity in ensuring that programs are accountable, efficient, and impactful. The use of DLIs and service quality indicators is highlighted as a way to enhance transparency and improve program outcomes.