{
  "docId": "019dd923-5de0-76bd-a168-516ee1323c41",
  "docSlug": "5f83c7bb8eeb6521",
  "documentTitle": "SOUTHEAST ASIA’S GREEN ECONOMY 2024",
  "authorId": "Bain",
  "authorName": "Bain",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.914,
  "pageNumber": 83,
  "pageCount": 171,
  "prevPage": 82,
  "nextPage": 84,
  "slideType": "initiative_list",
  "function": "prioritize",
  "density": "overcrowded",
  "nDataPoints": 2,
  "notes": "The slide uses a 2x3 grid layout to present strategic initiatives.",
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "numbered_list",
    "callout_box"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a168-516ee1323c41/83",
  "deckHref": "/decks/019dd923-5de0-76bd-a168-516ee1323c41",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a168-516ee1323c41.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-516ee1323c41#slide-83",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "SEA should prioritize action based on its advantages and define what is the region's answer to scale incentives that drives green investments",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd951-b48b-703a-a632-914b1f4423bd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.28,
        "x": 0.03,
        "y": 0.27
      },
      "kind": "list",
      "text": "Stage of economic development: GDP per capita is low at $6K in 2023 (vs. $63K in N. America); Emerging middle-class economies; ~40% increase in power demand; Just transition challenges.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4f334b23-f15e-49b5-9e48-2a4a8578dcaf",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.6,
        "w": 0.62,
        "x": 0.34,
        "y": 0.27
      },
      "kind": "list",
      "text": "1. Accelerate critical industries; 2. Support growing green exports; 3. Promote nature conservation; 4. Catalyze grid infrastructure; 5. Ensure a just transition; 6. Drive agriculture transition",
      "attrs": null,
      "subkind": "numbered",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fae60efc-4bbd-44f3-8e11-a29a7af66892",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.25,
        "x": 0.03,
        "y": 0.19
      },
      "kind": "paragraph",
      "text": "SEA has limited funds and many competing economic needs",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d7514bc5-2451-43ef-982b-ffe201686489",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.6,
        "x": 0.34,
        "y": 0.19
      },
      "kind": "paragraph",
      "text": "SEA should prioritize action based on its advantages and define what is the region's answer to scale incentives that drives green investments",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f544db06-0451-4134-9418-b1db876a3aa3",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.02,
        "w": 0.15,
        "x": 0.03,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "Sources: Expert interview; Lit. search; Bain analysis",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "67f9ea2b-555e-4b35-8ffb-b4dff4ac9664",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.95,
        "x": 0.03,
        "y": 0.07
      },
      "kind": "title",
      "text": "Incentives: Given limited financial resources, SEA governments should focus where strategic impact and acceleration is greatest to define their own fit-for-purpose IRA",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0731d4ee-d0de-481b-bbd0-68f1ea55d915",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.2,
        "x": 0.03,
        "y": 0.02
      },
      "kind": "title",
      "text": "01 POLICIES AND INCENTIVES",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "372d437c-d5a5-4436-88ef-d3105bf7a609",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-1b09-7403-ac4e-50ce2cd5426f",
      "evidence": "'define their own fit-for-purpose IRA'.",
      "confidence": 88
    },
    {
      "name": "Metaphor & Analogy",
      "slug": "metaphor-analogy",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-1b09-7403-ac4e-57c94445a662",
      "evidence": "Frames recommendation as SEA's own 'IRA' analog.",
      "confidence": 72
    }
  ],
  "frameworks": [
    {
      "name": "prioritization-matrix",
      "slug": null,
      "matchId": "0174df53-c595-45e6-b890-7c0bad0ec0b0",
      "evidence": "The slide structures strategic initiatives into a numbered list based on economic constraints.",
      "confidence": 0.7
    }
  ],
  "arcBeats": [
    {
      "to": 125,
      "from": 76,
      "beatId": "019dd95a-07a7-7579-bd63-b690db8c4027",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "Deep-dives on each accelerator with case studies (EU taxonomy, IRA, ACEN, Pentagreen, Bayfront)",
      "position": 4,
      "confidence": 92,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    },
    {
      "to": 125,
      "from": 46,
      "beatId": "019dd95a-07a7-7579-bd63-c066ab667052",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "What ideas/accelerators are needed to close the gap",
      "position": 2,
      "confidence": 70,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    }
  ],
  "loops": [
    {
      "to": 90,
      "from": 76,
      "name": "Benchmark Gap",
      "slug": "39-benchmark-gap",
      "bestFor": "Performance improvement, competitive analysis, target setting",
      "matchId": "019dd95a-08f8-7619-ac2d-020e7835f6c6",
      "evidence": "p.78 SEA scored 6/10; p.81 IRA $282B as benchmark; p.84 81 carbon-pricing schemes globally.",
      "position": 10,
      "objective": "Compare SEA policy/carbon-pricing to global benchmarks; identify gap to fix",
      "structure": "Our Performance -> Industry Average -> Best-in-Class -> The Gap = The Opportunity",
      "confidence": 75,
      "description": "Compare performance against best-in-class to quantify the opportunity"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}