{
  "title": "Emerging Market Heterogeneity: Insights from Cluster and Taxonomy Analysis",
  "publication": "IMF Working Papers, July 15, 2015",
  "sourceUrl": "https://www.imf.org/en/publications/wp/issues/2016/12/31/emerging-market-heterogeneity-insights-from-cluster-and-taxonomy-analysis-43085",
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  "summary": "This paper studies growth patterns in Emerging Market Economies (EMs) from the perspective on clusters and taxonomies. First, it documents developments over the past five decades in EMs and uses a cluster analysis to better understand convergence and the investment-growth nexus.",
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    {
      "heading": "Summary",
      "content": "- This paper studies growth patterns in Emerging Market Economies (EMs) from the perspective on clusters and taxonomies.\n- First, it documents developments over the past five decades in EMs and uses a cluster analysis to better understand convergence and the investment-growth nexus.\n- Second, it looks at the performance of EMs since 2000 and develops a taxonomy to classify countries according to their factor endowments as well as their real and financial external linkages.\n- The taxonomy offers insights on growth dynamics pre and post the global financial crisis.\n- Results highlight the high degree of heterogeneity in EMs and the need for more granular and targeted near and long-term policy advice."
    },
    {
      "heading": "Methodology and Scope",
      "content": "- Cluster analysis applied to EMs to examine convergence and the investment-growth nexus.\n- Taxonomy developed for EMs since 2000 based on:\n  - factor endowments,\n  - real external linkages,\n  - financial external linkages.\n- Comparative assessment of growth dynamics before and after the global financial crisis of 2008-2009."
    },
    {
      "heading": "Key Findings",
      "content": "- High degree of heterogeneity across Emerging Market Economies.\n- Cluster analysis sheds light on differences in convergence behavior and the relationship between investment shares and growth outcomes.\n- Taxonomy classification provides differentiated insights into growth dynamics pre and post the global financial crisis.\n- Emphasis on commodity-related dynamics, including \"commodity price booms\", \"commodity-exporting EMs\", and \"net commodity export deficit\" as relevant features in the analysis.\n- Inclusion of production and productivity dimensions, notably \"Total factor productivity\" and \"Terms of trade\" influences on growth."
    },
    {
      "heading": "Policy Implications and Recommendations",
      "content": "- Need for more granular and targeted near and long-term policy advice tailored to different EM clusters and taxonomy groups.\n- Policy design should account for heterogeneity in:\n  - factor endowments,\n  - real and financial external linkages,\n  - exposure to terms of trade shocks and commodity price booms.\n- Consideration of the investment-growth-unemployment nexus in policy frameworks."
    },
    {
      "heading": "Thematic Coverage (as stated)",
      "content": "- Commodities; Consumption; Emerging and frontier financial markets; Financial crises; Global financial crisis of 2008-2009; International trade; National accounts; Production; Terms of trade; Total factor productivity.\n\nSource: IMF Working Paper \"Emerging Market Heterogeneity: Insights from Cluster and Taxonomy Analysis\" by Zhongxia Zhang and Yuan Gao.\n\n---\n\n Content in this bundle\n\n- wp15155\n  - wp15155 (Markdown version){rel=\"alternate\" type=\"text/markdown\"}\n  - wp15155 (PDF){rel=\"external\" type=\"application/pdf\"}\n\n---\n\nSource: https://www.imf.org/en/publications/wp/issues/2016/12/31/emerging-market-heterogeneity-insights-from-cluster-and-taxonomy-analysis-43085"
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    "Authors: Zhongxia Zhang, Yuan Gao",
    "Published: July 15, 2015",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9781513587622.001",
    "This paper studies growth patterns in Emerging Market Economies (EMs) from the perspective on clusters and taxonomies.",
    "First, it documents developments over the past five decades in EMs and uses a cluster analysis to better understand convergence and the investment-growth nexus.",
    "Second, it looks at the performance of EMs since 2000 and develops a taxonomy to classify countries according to their factor endowments as well as their real and financial external linkages.",
    "The taxonomy offers insights on growth dynamics pre and post the global financial crisis.",
    "Results highlight the high degree of heterogeneity in EMs and the need for more granular and targeted near and long-term policy advice.",
    "Cluster analysis applied to EMs to examine convergence and the investment-growth nexus.",
    "Taxonomy developed for EMs since 2000 based on:",
    "Comparative assessment of growth dynamics before and after the global financial crisis of 2008-2009.",
    "High degree of heterogeneity across Emerging Market Economies.",
    "Cluster analysis sheds light on differences in convergence behavior and the relationship between investment shares and growth outcomes.",
    "Taxonomy classification provides differentiated insights into growth dynamics pre and post the global financial crisis.",
    "Emphasis on commodity-related dynamics, including \"commodity price booms\", \"commodity-exporting EMs\", and \"net commodity export deficit\" as relevant features in the analysis.",
    "Inclusion of production and productivity dimensions, notably \"Total factor productivity\" and \"Terms of trade\" influences on growth.",
    "Need for more granular and targeted near and long-term policy advice tailored to different EM clusters and taxonomy groups.",
    "Policy design should account for heterogeneity in:",
    "Consideration of the investment-growth-unemployment nexus in policy frameworks.",
    "Commodities; Consumption; Emerging and frontier financial markets; Financial crises; Global financial crisis of 2008-2009; International trade; National accounts; Production; Terms of trade; Total factor productivity.",
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