{
  "title": "Public Perceptions of Canada’s Investment Climate",
  "publication": "IMF Working Papers, July 26, 2024",
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  "summary": "Canada’s muted productivity growth during recent years has sparked concerns about the country’s investment climate. In this study, we develop a new natural language processing (NPL) based indicator, mining the richness of Twitter (now X) accounts to measure trends in the public perceptions of Canada",
  "sections": [
    {
      "heading": "Study overview",
      "content": "- Title: Public Perceptions of Canada’s Investment Climate\n- Authors: Flora Lutz, Yuanchen Yang, Chengyu Huang\n- Date: July 26, 2024\n- Publication type: IMF Working Papers\n- Pages: 40\n- Volume: 2024\n- Issue: 165\n- Series: Working Paper No. 2024/165\n- DOI: https://doi.org/10.5089/9798400284373.001\n- Stock No: WPIEA2024165\n- ISBN: 9798400284373\n- ISSN: 1018-5941\n- Subjects: Climate finance, Competition, Economic sectors, Environment, Financial markets, Infrastructure, Mining sector, National accounts, Production, Productivity\n- Keywords: Canada, Climate finance, Competition, Global, Infrastructure, Investment Climate, investment flow, investmest climate, Machine Learning, Mining sector, muted productivity growth, NLP-based indicator, Productivity, Sentiment Analysis"
    },
    {
      "heading": "Research objective and method",
      "content": "- Objective: Measure trends in public perceptions of Canada’s investment climate amid concerns over muted productivity growth.\n- Methodology: Development of a new natural language processing (NLP) based indicator by mining Twitter (now X) accounts to capture public sentiment on the investment climate.\n- Comparative approach: Construct a similar NLP-based indicator for the U.S. and compare trends across countries."
    },
    {
      "heading": "Key findings",
      "content": "- General assessment:\n  - The Canadian investment climate appears to be generally favorable.\n- Recent developments:\n  - Signs of slippage in some categories in recent periods, notably governance and infrastructure.\n- Cross-validation:\n  - Slippage in governance and infrastructure is confirmed by both survey-based and NLP-based indicators.\n- International comparison:\n  - NLP-based indicators suggest perceptions of Canada’s investment climate are similar to perceptions of U.S. investment climate, except for governance.\n  - Views of U.S. governance are notably more negative relative to Canada.\n- Predictive power:\n  - NLP-based indicators are statistically significant in helping to predict investment flows, similar to survey-based measures.\n- Additional value:\n  - The NLP-based indicator provides nuanced insights and allows identification of specific grievances."
    },
    {
      "heading": "Implications and utility",
      "content": "- Policy relevance:\n  - NLP-derived sentiment measures can complement traditional survey-based indicators when monitoring investment climate perceptions.\n  - The indicators can help identify category-specific deterioration (e.g., governance, infrastructure) that may warrant targeted policy responses.\n- Research and monitoring:\n  - Comparable country-level NLP indicators (Canada and U.S.) facilitate cross-country monitoring of public sentiment related to investment climates.\n- Practical advantage:\n  - NLP-based indicators reveal granular grievances in public discourse that surveys may not capture.\n\nIMF Working Paper by Flora Lutz, Yuanchen Yang, and Chengyu Huang (July 26, 2024).\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/2024/07/26/public-perceptions-of-canadas-investment-climate-552515"
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    "Authors: Flora Lutz, Yuanchen Yang, Chengyu Huang",
    "Published: July 26, 2024",
    "Series: IMF Working Papers",
    "DOI: https://doi.org/10.5089/9798400284373.001",
    "Title: Public Perceptions of Canada’s Investment Climate",
    "Authors: Flora Lutz, Yuanchen Yang, Chengyu Huang",
    "Date: July 26, 2024",
    "Publication type: IMF Working Papers",
    "Pages: 40",
    "Volume: 2024",
    "Issue: 165",
    "Series: Working Paper No. 2024/165",
    "DOI: https://doi.org/10.5089/9798400284373.001",
    "Stock No: WPIEA2024165",
    "ISBN: 9798400284373",
    "ISSN: 1018-5941",
    "Subjects: Climate finance, Competition, Economic sectors, Environment, Financial markets, Infrastructure, Mining sector, National accounts, Production, Productivity",
    "Keywords: Canada, Climate finance, Competition, Global, Infrastructure, Investment Climate, investment flow, investmest climate, Machine Learning, Mining sector, muted productivity growth, NLP-based indicator, Productivity, Sentiment Analysis",
    "Objective: Measure trends in public perceptions of Canada’s investment climate amid concerns over muted productivity growth.",
    "Methodology: Development of a new natural language processing (NLP) based indicator by mining Twitter (now X) accounts to capture public sentiment on the investment climate.",
    "Comparative approach: Construct a similar NLP-based indicator for the U.S. and compare trends across countries.",
    "General assessment:",
    "Recent developments:",
    "Cross-validation:",
    "International comparison:",
    "Predictive power:",
    "Additional value:",
    "Policy relevance:",
    "Research and monitoring:",
    "Practical advantage:",
    "**Working Paper**"
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