{
  "docId": "019dd923-5de0-76bd-a165-994c2a270db1",
  "docSlug": "09cd0f1face7682d",
  "documentTitle": "The economic and social impact of investment in the nbn network Methodology Report",
  "authorId": "misc",
  "authorName": "Accenture",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 12,
  "pageCount": 54,
  "prevPage": 11,
  "nextPage": 13,
  "slideType": "appendix_methodology",
  "function": "present_framework",
  "density": "overcrowded",
  "nDataPoints": 1,
  "notes": "The slide explains the choice of Statistical Area 2 (SA2) as the unit of analysis for the broadband impact model.",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "callout_box",
    "map",
    "footnote"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a165-994c2a270db1/12",
  "deckHref": "/decks/019dd923-5de0-76bd-a165-994c2a270db1",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a165-994c2a270db1.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a165-994c2a270db1#slide-12",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "Regional local geographic communities have seen some the largest speed uplifts over the roll-out",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-edac-778d-bcbf-1c23aa612546",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.45,
        "x": 0.52,
        "y": 0.15
      },
      "kind": "chart",
      "text": "Regional local geographic communities have seen some the largest speed uplifts over the roll-out. Average broadband speed uplift between 2011 to 2023, by local geographic community, Mbps",
      "attrs": null,
      "subkind": "map",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f9a444f2-f736-4225-802a-a45e4b7479cb",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Broadband speed uplift (Mbps)",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd951-edac-778d-bcbf-2293d643949b",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.45,
        "x": 0.05,
        "y": 0.15
      },
      "kind": "paragraph",
      "text": "What is an SA2? A Statistical Area 2 ('SA2') is a medium sized region defined by the Australian Bureau of Statistics. There are around 2,400 SA2s in Australia – with no overlaps or gaps. An average of 10,000 people live in each SA2. In this report, 'local geographic communities' refers to SA2s.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4b0e09ed-f702-4851-b20d-51344af585ce",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.45,
        "x": 0.05,
        "y": 0.35
      },
      "kind": "paragraph",
      "text": "Why have we modelled at an SA2 level? Modelling at the SA2 level allows us to examine the impact of fast broadband on specific regions. This is helpful in two primary ways: (a) We can use the model to understand how broadband has impacted specific types of regions; for example, rural and remote regions compared to major cities, or, lower to higher socio-economic regions. This is important given a key rationale for the nbn network was to improve access to previously underserved communities. (b) The model can be trained on a larger set of observations; distinguishing between otherwise similar regions that had different broadband speeds.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "50edda6a-f185-41f3-abf6-3decc503a167",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.45,
        "x": 0.05,
        "y": 0.65
      },
      "kind": "paragraph",
      "text": "How have we modelled at an SA2 level? Modelling at the SA2 level requires us to build a time-series dataset for all SA2s in Australia, including estimating all variables used in the analysis at the SA2 level. This included estimating average broadband speed for each SA2 between 2011 and 2023, as well as estimating Gross Regional Product ('GRP') for each SA2. More detail on our approach can be found in the appendix. SA2 boundaries are set by the ABS and have changed several times in our time period of interest. To solve for this, we choose to use the 2011 boundaries throughout our time period of analysis. Based on 2011 boundaries there are 2,196 SA2s, compared to 2,310 based on 2016 boundaries and 2,472 using 2023 boundaries.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "85b5125f-7b68-4535-af2c-98315540b6a8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.2,
        "x": 0.05,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "Source: ABS, Accenture modelling",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "58199002-3c98-4d2c-9650-4ed8d3bbe1c2",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.6,
        "x": 0.05,
        "y": 0.07
      },
      "kind": "title",
      "text": "We have modelled the benefits of broadband at an SA2 level",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3df248fd-393f-47d8-80c7-9d7dd6d507c7",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Map / spatial",
      "slug": "map-spatial",
      "agent": null,
      "layer": "slide",
      "matchId": "07ff4cba-855e-4327-9d0a-1b365ca5a5a0",
      "evidence": "Average broadband speed uplift between 2011 to 2023, by local geographic community, Mbps",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 20,
      "from": 11,
      "beatId": "71468255-9585-4696-adb6-5365d291a896",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Problem & Complication",
      "beatSlug": "consultants-gambit-problem-complication",
      "evidence": "The document discusses the limitations of current approaches to measuring social impact",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    }
  ],
  "loops": [
    {
      "to": 20,
      "from": 11,
      "name": "Logic Chain",
      "slug": "01-logic-chain",
      "bestFor": "Skeptical audiences, controversial recommendations, rigorous analysis",
      "matchId": "1c39c7ea-ee4f-4b5d-9b6f-67d52af93c7a",
      "evidence": "The document presents a logical approach to measuring social impact",
      "position": 0,
      "objective": "To understand the chain of logic through which social impact is created",
      "structure": "Premise 1 (Accepted truth) -> Premise 2 (Observed fact) -> Therefore... (Inevitable conclusion)",
      "confidence": 0.7,
      "description": "Build an airtight chain of logic where each premise leads inevitably to the conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}