{
  "docId": "019dd923-5de0-76bd-a168-771928419374",
  "docSlug": "eae39f556502d97e",
  "documentTitle": "Economic Impact Assessment ICC Men’s T20 World Cup 2024 - Texas (USA)",
  "authorId": "misc",
  "authorName": "Nielsen",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 27,
  "pageCount": 30,
  "prevPage": 26,
  "nextPage": 28,
  "slideType": "impact_sizing",
  "function": "quantify_impact",
  "density": "overcrowded",
  "nDataPoints": 8,
  "notes": "The slide uses a simple arithmetic equation to demonstrate the economic multiplier effect.",
  "elementsJson": [
    "data_table",
    "bullet_list"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a168-771928419374/27",
  "deckHref": "/decks/019dd923-5de0-76bd-a168-771928419374",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a168-771928419374.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-771928419374#slide-27",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "To calculate the total economic impact, we need to apply a multiplier which would include all the 'secondary' spends that would happen due to the occurrence of the event.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-41aa-7578-83c5-0ef605cf5af1",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.2,
        "x": 0.68,
        "y": 0.38
      },
      "kind": "metric",
      "text": "$570.9M",
      "attrs": null,
      "subkind": "big-number",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fd6319d8-b10f-4cad-9e9f-9b18e38f0d69",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Total Economic Impact: $570.9M",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-41aa-7578-83c5-12456d9c8c4c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.2,
        "w": 0.85,
        "x": 0.1,
        "y": 0.68
      },
      "kind": "paragraph",
      "text": "To calculate the total economic impact, we need to apply a multiplier which would include all the 'secondary' spends that would happen due to the occurrence of the event. An example of such secondary spend would be the need for restaurants to purchase more from their suppliers due to the increased number of visitors to the restaurant. To estimate this uplift, we use econometric modelling to estimate the reliance between industries within the host economy. Based on the OECD estimates for the region, the multiplier comes out to be 1.5x",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "28708ca4-f5fe-47e7-9bcc-a7469510f846",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.4,
        "x": 0.05,
        "y": 0.94
      },
      "kind": "source-note",
      "text": "Copyright © 2024 The Nielsen Company (US), LLC. Confidential and proprietary. Do not distribute. Source: Nielsen Sports analysis",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ae3922d7-34ee-40f7-ba54-51cab1897847",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.33,
        "w": 0.278,
        "x": 0.12,
        "y": 0.238
      },
      "kind": "table",
      "text": "Accommodation 52.1M, F&B 52.9M, Travel (Flights) 32.3M, Transportation 46.9M, Retail & Tourism 76.3M, Net Organizing Spends 98.6M, Net Economic spend 359.1M",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "34d2ef34-3218-4072-956f-ca58ecf2dff9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.85,
        "x": 0.05,
        "y": 0.08
      },
      "kind": "title",
      "text": "The economic multiplier contributes a further $211.9M on top of the net economic spend",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c6a47e0c-c069-424a-aebc-3565b57bc822",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.25,
        "x": 0.05,
        "y": 0.05
      },
      "kind": "title",
      "text": "ECONOMIC IMPACT – USA",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c1c7d62d-e02b-4e4c-993c-4cd037112d91",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 30,
      "from": 21,
      "beatId": "9c492c81-d2a4-40d2-a32c-69b809fe3de1",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Impact & Next Steps",
      "beatSlug": "consultants-gambit-impact-next-steps",
      "evidence": "The document outlines the economic impact and future projections",
      "position": 3,
      "confidence": 0.8,
      "parentBeatName": "Resolution",
      "parentBeatSlug": "resolution"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}