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Lesson
Comprehensive and disaggregated enterprise-level data are needed to effectively support micro, small, and medium-sized enterprises (MSMEs) in times of crisis. The absence of a real-time disaggregated financial data collection system at the beneficiary level made it difficult to timely track the status of business recovery of affected MSMEs. The dataset collected and used in reports on MSME lending did not include comprehensive disaggregated enterprise-level data from the start, making it impossible to assess the inclusiveness of the concessional lending.

Project Number: 54184-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date: 19 Dec 2022

Lesson
Data interoperability facilitates beneficiary targetting in times of crisis. Difficulty in consolidating data between federal, provincial, and local-level governments and between sectors affected program implementation and progress monitoring. While Nepal’s social security programs each identify and register beneficiaries, there is no central register for poor and vulnerable populations. Hence, the ward officials identified food support beneficiaries, which led to implementation challenges.

Project Number: 54184-001
Project Name: COVID-19 Active Response and Expenditure Support Program
Report Date: 19 Dec 2022

Content type

  • Lesson (2)

Countries

  • (-) Nepal (2)
  • Indonesia (1)
  • Kyrgyz Republic (1)
  • Pakistan (1)
  • Papua New Guinea (2)
  • Uzbekistan (1)

Sectors

  • Health (2)
  • Public sector management (2)

Themes

  • Inclusive Economic Growth (2)
  • Regional Integration (2)
  • Governance and Capacity Development (2)
  • Gender Equity and Mainstreaming (2)
  • Partnerships (2)

Report Year

  • 2022 (2)

Report Source

  • Self-evaluation (2)

Report Rating

  • Successful (2)

Applicability

Topics

  • Awareness and communication strategies (4)
  • Budgeting (1)
  • Capacity development (2)
  • Civil unrest and conflict (1)
  • Conflict and stability (1)
  • Coordination and engagement (2)
  • Country context (8)
  • Data availability and baselines (4)
  • Design and/or planning (33)
  • Disasters (1)
  • DMF (1)
  • DMF, targets (1)
  • Economic (2)
  • Epidemics (8)
  • Finance and financial aspects (5)
  • Financial (4)
  • Financing mechanism (1)
  • Gender (1)
  • Implementation and/or Delivery (31)
  • Implementation arrangement (1)
  • Indicators (3)
  • Information technology infrastructure (1)
  • Institutional (3)
  • Knowledge building (33)
  • Leadership and commitment (1)
  • Management (staffing, including consultants) (22)
  • Methodologies / approaches (13)
  • Modality (1)
  • Monitoring and evaluation (7)
  • Natural disasters (5)
  • New concepts/ technologies (1)
  • Organizational capacity (1)
  • Other (12)
  • Others (17)
  • Overambitious targets (1)
  • Partnership (and cofinancing) (23)
  • Policy and reform (2)
  • Post-conflict situation (1)
  • Post-disaster rehabilitation (1)
  • Post-disaster rehabilitation (2)
  • Post-disaster rehabilitation, Gender, GESI - Nepal (1)
  • Post-disaster rehabilitation; Climate-resilient roads (1)
  • Post-disaster rehabilitation; Earthquake-resilient schools (1)
  • Post-TA financial resources (10)
  • Procurement (1)
  • Project design (27)
  • Project management (2)
  • Reform programs (2)
  • Replication and scaling Up (25)
  • Reporting and supervision (2)
  • Sector issues (3)
  • Skilled human resources (1)
  • Social (1)
  • Staff turnover (1)
  • Stakeholder engagement (20)
  • Stakeholder participation (20)
  • Stakeholder selection (3)
  • TA (2)
  • Technical (8)
  • Time allocation or task sequencing (1)
  • (-) Beneficiary targeting (2)

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