{
  "title": "Public Investment Management Bottlenecks in Low-income Countries",
  "publication": "IMF Working Papers, November 1, 2024",
  "sourceUrl": "https://www.imf.org/en/publications/wp/issues/2024/11/01/public-investment-management-bottlenecks-in-low-income-countries-556847",
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  "summary": "This paper uses principal component analysis (PCA) to identify bottlenecks to effective public investment management in LIDCs.",
  "sections": [
    {
      "heading": "Summary",
      "content": "- This paper uses principal component analysis (PCA) to identify bottlenecks to effective public investment management in LIDCs.\n- The paper describes the current state of affairs regarding public investment and public investment management in LIDCs, drawing on the results of IMF Public Investment Management Assessments (PIMAs).\n- PCA is used to analyze which public investment institutions are likely to be most important for investment efficiency estimates across the countries covered by PIMAs so far.\n- Five PIMA institutions are identified as systematically highly correlated to estimates of public investment efficiency in LIDCs and are likely to be high priorities in many PIM reform processes:\n  - Project management\n  - Project appraisal\n  - Procurement\n  - Availability of funding\n  - Project selection\n- The paper notes that these five are not the only important institutions and that priorities will depend on country circumstances.\n- Practical steps to strengthen PIM in LIDCs are elaborated in a separate How-to-Note."
    },
    {
      "heading": "Methodology and Findings",
      "content": "- Methodology:\n  - Principal component analysis (PCA) is used to analyze relationships between PIMA institutional indicators and estimates of public investment efficiency across countries covered by PIMAs.\n  - Analysis draws on alternative input data to assess robustness of results.\n- Core finding:\n  - Five PIMA institutions (Project management; Project appraisal; Procurement; Availability of funding; Project selection) are systematically highly correlated with public investment efficiency estimates in LIDCs.\n- Contextual note:\n  - The relative importance of PIMA institutions can vary depending on country circumstances; the five identified are likely high priorities in many, but not all, reform processes."
    },
    {
      "heading": "Policy Implications and Practical Steps",
      "content": "- Priority areas for PIM reform in many LIDCs:\n  - Strengthen Project management capacities.\n  - Improve Project appraisal frameworks and practices.\n  - Reform and enhance Procurement systems.\n  - Ensure Availability of funding for prioritized projects.\n  - Improve Project selection mechanisms to focus on efficiency.\n- Implementation guidance:\n  - Practical steps to strengthen PIM in LIDCs are provided in a separate How-to-Note (details of that How-to-Note are described in the paper but are not reproduced here)."
    },
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      "heading": "Subject Coverage and Keywords",
      "content": "- Subject areas:\n  - Expenditure\n  - Infrastructure\n  - National accounts\n  - Post-clearance customs audit\n  - Public financial management (PFM)\n  - Public Investment Management Assessment (PIMA)\n  - Public investment spending\n  - Revenue administration\n- Keywords include:\n  - efficiency frontier\n  - Global\n  - IMF Public Investment Management Assessments\n  - Infrastructure\n  - investment efficiency\n  - Low Income countries\n  - management in LIDCs\n  - Post-clearance customs audit\n  - priority Pima institution\n  - Public Financial Management\n  - Public Investment Efficiency\n  - Public Investment Management\n  - Public Investment Management Assessment\n  - Public investment spending\n  - West Africa\n\n---\n\n Content in this bundle\n\n- Working Paper\n  - Working Paper (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - Working Paper (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2024/11/01/public-investment-management-bottlenecks-in-low-income-countries-556847"
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    "Authors: Khaled Eltokhy, Nicoletta Feruglio, Kezhou Miao, Arturo Navarro, Eivind Tandberg",
    "Published: November 1, 2024",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9798400289231.001",
    "This paper uses principal component analysis (PCA) to identify bottlenecks to effective public investment management in LIDCs.",
    "The paper describes the current state of affairs regarding public investment and public investment management in LIDCs, drawing on the results of IMF Public Investment Management Assessments (PIMAs).",
    "PCA is used to analyze which public investment institutions are likely to be most important for investment efficiency estimates across the countries covered by PIMAs so far.",
    "Five PIMA institutions are identified as systematically highly correlated to estimates of public investment efficiency in LIDCs and are likely to be high priorities in many PIM reform processes:",
    "The paper notes that these five are not the only important institutions and that priorities will depend on country circumstances.",
    "Practical steps to strengthen PIM in LIDCs are elaborated in a separate How-to-Note.",
    "Methodology:",
    "Core finding:",
    "Contextual note:",
    "Priority areas for PIM reform in many LIDCs:",
    "Implementation guidance:",
    "Subject areas:",
    "Keywords include:",
    "**Working Paper**"
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