type: research-report title: "Benchmark Matrix — Tourism Measurement Systems (5 Country Comparison)" alias: - "Tourism Benchmark Matrix" - "RD.BENCH.05.02" status: draft
| Thuật ngữ / Viết tắt | Ý nghĩa tiếng Việt | Ghi chú |
|---|---|---|
| TSA (Tourism Satellite Account) | Tài khoản Vệ tinh Du lịch | Khung chuẩn UNWTO để đo lường đóng góp kinh tế của du lịch vào GDP |
| VNAT (Vietnam National Administration of Tourism) | Cục Du lịch Quốc gia Việt Nam | Cơ quan quản lý nhà nước về du lịch tại Việt Nam |
| GSO (General Statistics Office) | Tổng cục Thống kê | Cơ quan thống kê quốc gia |
| STB (Singapore Tourism Board) | Tổng cục Du lịch Singapore | Cơ quan chiến lược, dữ liệu và xúc tiến của Singapore |
| MoTS (Ministry of Tourism and Sports) | Bộ Du lịch và Thể thao (Thái Lan) | Cơ quan quản lý cấp Bộ của Thái Lan |
| TAT (Tourism Authority of Thailand) | Tổng cục Du lịch Thái Lan | Cơ quan thực thi và xúc tiến du lịch Thái Lan |
| Satu Data | Một Dữ liệu (One Data) | Sáng kiến chuẩn hóa dữ liệu quốc gia của Indonesia |
| SGAC (SG Arrival Card) | Thẻ nhập cảnh Singapore | Hệ thống khai báo nhập cảnh số 100% của Singapore |
| STAN (Singapore Tourism Analytics Network) | Mạng lưới phân tích du lịch Singapore | Hệ thống phân tích dữ liệu du lịch chuyên sâu của STB |
| Tcube | Hệ sinh thái dữ liệu Tcube | Nền tảng tích hợp dữ liệu của Singapore |
| ALOS (Average Length of Stay) | Thời gian lưu trú trung bình | Chỉ số đo lường độ dài chuyến đi của khách |
| AOR (Average Occupancy Rate) | Tỷ lệ lấp đầy trung bình | Tỷ lệ phòng khách sạn được sử dụng |
| ARR (Average Room Rate) | Giá phòng trung bình | Giá bán trung bình mỗi phòng |
| RevPAR (Revenue Per Available Room) | Doanh thu trên mỗi phòng sẵn có | Chỉ số hiệu quả vận hành khách sạn |
| OTA (Online Travel Agency) | Đại lý du lịch trực tuyến | Các nền tảng như Agoda, Booking.com, Trip.com |
| Mandate | Thẩm quyền / Nhiệm vụ pháp lý | Quyền hạn được quy định bởi luật pháp để thực hiện một nhiệm vụ |
| Digital Arrival Card | Thẻ nhập cảnh số | Thay thế tờ khai giấy truyền thống bằng tờ khai điện tử |
| I-O Table (Input-Output Table) | Bảng cân đối liên ngành | Bảng dữ liệu kinh tế dùng để tính toán TSA |
Project: Vietnam-Centric Tourism Measurement Benchmark Framework (RD.BENCH.05.02)
Date: 2026-07-14
Methodology: Comparative matrix across 5 reference countries (Thailand, China, Malaysia, Singapore, Indonesia) based on Phase 2 topic scans, cross-referenced against master_tourism.md (144 policy documents).
4 Pillars: Governance & Mandate | Data Architecture & Sources | Outputs & Usability | Barriers & Implementation Path
| Dimension | 🇹🇭 Thailand | 🇨🇳 China | 🇲🇾 Malaysia | 🇸🇬 Singapore | 🇮🇩 Indonesia |
|---|---|---|---|---|---|
| Lead Tourism Authority | Ministry of Tourism & Sports (MoTS) — policy & TSA; Tourism Authority of Thailand (TAT) — digital implementation & promotion | Ministry of Culture & Tourism (MCT) — policy & regulation | Ministry of Tourism, Arts & Culture (MOTAC) — policy & promotion | Singapore Tourism Board (STB) under Ministry of Trade & Industry (MTI) — strategy, data & promotion | Ministry of Tourism & Creative Economy (Kemenparekraf/Baparekraf) — policy & dashboard |
| National Statistics Body | National Statistical Office (NSO) — official statistics | National Bureau of Statistics (NBS) — TSA & official statistics | Department of Statistics Malaysia (DOSM) — TSA lead, methodology | Department of Statistics Singapore (DOS) — TSA co-production with STB | Badan Pusat Statistik (BPS) — TSA & official surveys |
| Immigration/Border Agency | Immigration Bureau (TDAC) — digital arrival cards | National Immigration Administration (NIA) — border data | Immigration Department of Malaysia — border data | Immigration & Checkpoints Authority (ICA) — SG Arrival Card (100% digital) | Directorate General of Immigration — arrival records |
| Cross-Agency Coordination | MoTS + TAT + NSO + TCEB (MICE); partnerships with Google, Facebook, NVIDIA | MCT + NBS + NIA + local MCT offices; strong via National Cloud Platform | MOTAC + DOSM + Tourism Malaysia + Immigration; moderate integration | STB + DOS + ICA + Tcube; seamless institutional integration | Kemenparekraf + BPS + Bank Indonesia + Immigration; siloed, Satu Data initiative underway |
| Legal Mandate Strength | Strong — MoTS TSA mandate is official; Tourism 4.0 policy drive | Very strong — centralised state authority enables data sharing across all agencies | Strong — DOSM legally mandated for TSA production | Very strong — STB Act, SGAC mandatory by law, DOS & ICA statutory roles | Moderate — Perpres 39/2019 (Satu Data), but enforcement uneven |
Sources: Thailand topic.md §5 (Management Organization); China topic.md §5; Malaysia topic.md §5; Singapore topic.md §5; Indonesia topic.md §5.1; master_tourism.md (GOV_ sources).
| Dimension | 🇹🇭 Thailand | 🇨🇳 China | 🇲🇾 Malaysia | 🇸🇬 Singapore | 🇮🇩 Indonesia |
|---|---|---|---|---|---|
| TSA Status | ✅ Active — UNWTO standard, published by MoTS | ✅ Active — UNWTO:2008, by NBS + MCT since 2013; two-tier classification (9 × 65 industries). 2024: 5.86T NDT (4.35% GDP) | ✅ Active — UNWTO:2008, by DOSM, annual publication | ✅ Active — UNWTO standard, co-published by STB + DOS | ✅ Active — UNWTO framework, by BPS, but publication lags |
| Border/Immigration Data | TDAC digital arrival card (partial digitisation) | NIA — strict AI-integrated border control | MyBorderPass (QR + facial recognition, active at KLIA since Jan 2025) | SG Arrival Card (SGAC) — 100% digital, mandatory, real-time | Immigration arrival records; e-arrival digitisation ongoing |
| Enterprise/Hotel Surveys | Hotel occupancy, revenue surveys | Accommodation unit surveys, transport data (12306) | Hotel Survey (monthly — AOR, ARR, RevPAR); Tourism Industries Survey (annual) | Licensed hotel reports (mandatory), OVS exit surveys | BPS accommodation & enterprise surveys |
| Household/Visitor Surveys | Visitor expenditure surveys | NBS periodic tourism surveys | Domestic Tourism Survey; Inbound Tourism Survey | Overseas Visitor Survey (OVS) at Changi & checkpoints | BPS household & visitor surveys |
| Digital Payment / Transaction Data | Limited | ✅ Alipay, WeChat Pay — massive transaction-level spending data | Limited / pilot stage | ✅ Credit/debit card data, anonymised mobile payment | Bank Indonesia — foreign exchange data (devisa pariwisata) |
| Mobile Network Data | ✅ Pilot / Google & Facebook data | ✅ China Mobile, China Unicom, China Telecom — nation-scale | Pilot / telecom partnerships | ✅ Anonymised mobile data (private partnerships) | Pilot stage |
| OTA / Online Platform Data | ✅ Google, Facebook, OTA partnerships | ✅ Trip.com, Meituan, Fliggy (Alibaba) — dominated by local giants | ✅ Pilot with Agoda, Booking.com | ✅ OTA data integration via STAN | Pilot / limited |
| Social Media / Sentiment | ✅ Social listening via TAT-AI | ✅ WeChat, Douyin, Xiaohongshu, Weibo — massive scale | Limited | ✅ Social listening integrated into STAN | Pilot stage |
| Other Unique Sources | TAT Data Catalog — central metadata repository | National Cloud Platform; UN Global Hub on Big Data (NBS) | OpenDOSM — open data API platform | TIH — Tourism Information Hub (API + content); STAN analytics | Satu Data Indonesia — metadata standardisation framework (Perpres 39/2019) |
Sources: Thailand topic.md §5 (Data Sources, Technology); China topic.md §5; Malaysia topic.md §5; Singapore topic.md §5; Indonesia topic.md §5.3–5.4; master_tourism.md (NEW_2025_BPS, GOV_2024_QD1704).
| Dimension | 🇹🇭 Thailand | 🇨🇳 China | 🇲🇾 Malaysia | 🇸🇬 Singapore | 🇮🇩 Indonesia |
|---|---|---|---|---|---|
| National Dashboard | ✅ Tourism Intelligence Center (TIC) + TAT-AI | ✅ National statistics portal + provincial dashboards | ✅ Tourism Dashboard (myGOV & DOSM) | ✅ STAN (Singapore Tourism Analytics Network) | ✅ Kemenparekraf dashboard (limited public access) |
| Open Data Portal | ✅ TAT Data Catalog (datacatalog.tat.or.th); GDCatalog | ✅ NBS statistical yearbooks (limited open API) | ✅ data.tourism.gov.my; OpenDOSM API | ✅ STAN datasets + TIH open API | ⚠️ Satu Data Pariwisata (still developing) |
| API Availability | ✅ Open API via Thailand Tourism Directory | ⚠️ Limited public API; internal data sharing via National Cloud | ✅ OpenDOSM API; data.tourism.gov.my API | ✅ Full REST API via TIH; STAN data export | ❌ No public API confirmed (dashboard only) |
| Update Frequency | Monthly (hotels), Quarterly (TSA), Annual (full TSA) | Monthly (arrivals), Annual (TSA) | Monthly (hotel survey), Annual (TSA) | Monthly (most KPIs), Quarterly (TSA), Real-time (SGAC) | Monthly (arrivals), Annual (TSA — delayed) |
| Real-Time Capability | Partial — TAT-AI predictive analytics | Partial — National Cloud + AI at borders | Partial — MyBorderPass active at KLIA; land border expansion ongoing | ✅ High — SGAC real-time data; STAN real-time dashboards | ❌ Limited — dashboard lags |
| Key KPIs Published | Visitor arrivals, per-capita spending, ALOS, AOR, ARR, RevPAR, TSA GDP, regional TSA | Visitor arrivals (inbound/domestic), TSA GDP, spending, employment, regional stats | Visitor arrivals, AOR, ARR, RevPAR, TSA GDP, tourism employment, inbound/domestic spending | Visitor arrivals, ALOS, TR (5-component), AOR/ARR/RevPAR, TSA direct/indirect GDP, MICE stats | Visitor arrivals, ALOS, AOR, TSA GDP, foreign exchange, employment |
| Private Sector Access | ✅ TAT dashboard + API available to businesses | ⚠️ Limited — mostly government-focused | ✅ data.tourism.gov.my available to industry | ✅ STAN + TIH + Tcube — strongly business-facing | ⚠️ Limited — mostly government reporting |
| Decision-Support Readiness | Medium-High — predictive analytics via AI/LLMs | High — Big Data & AI integrated at national scale | Medium — dashboards exist but real-time limited | Very High — purpose-built for data-driven decisions | Low-Medium — data exists but integration incomplete |
Sources: Thailand topic.md §5 (Technology); China topic.md §5; Malaysia topic.md §5; Singapore topic.md §5; Indonesia topic.md §5.4; master_tourism.md (data.tourism.gov.my, OpenDOSM, STAN, TIH references).
| Dimension | 🇹🇭 Thailand | 🇨🇳 China | 🇲🇾 Malaysia | 🇸🇬 Singapore | 🇮🇩 Indonesia |
|---|---|---|---|---|---|
| Institutional Barriers | MoTS-TAT role overlap; multi-agency coordination still evolving | Centralised model enables speed but limits local flexibility | MOTAC-DOSM coordination generally strong; tourism vs statistical mandates distinct | Minimal — institutional roles clearly defined by law; small government | Major — Kemenparekraf vs BPS vs BI vs Immigration silos; Satu Data still aspirational |
| Technical Barriers | Legacy manual processes being replaced; data integration across fragmented sources | Data sovereignty and privacy constraints; over-reliance on national cloud | Limited real-time integration; land border data inaccuracy (Borneo, Malaysia-Thailand) | Low — advanced digital infrastructure; but model expensive to replicate | Inconsistent data quality across provinces; no unified digital platform |
| Data Quality Issues | Improving — digitisation of TDAC still partial | Very high — mobile & OTA data gives granular coverage | Moderate — hotel surveys reliable; border & OTA data uneven | Very high — SGAC gives 100% coverage; OVS provides rich expenditure data | Variable — BPS surveys reliable; local dinas data quality differs widely |
| Cost / Scalability | TAT-AI / TIC investment requires sustained budget | Massive state investment — not replicable for smaller economies | Moderate cost — DOSM + data.tourism.gov.my relatively lean | High-cost model — requires premium digital infrastructure throughout | Moderate — Satu Data is low-cost but slow to implement |
| Political / Regulatory | Tourism 4.0 is high priority under national plan | Strong central authority enables rapid policy execution | Stable — no major regulatory barriers identified | Very stable — STB Act, clear mandates | Perpres 39/2019 exists but enforcement uneven |
| Implementation Timeline | Phase 2 (Tourism 4.0) ongoing; TSA annual, TIC operational | TSA since 2013; Big Data integration mature | TSA published annually; MyBorderPass under rollout | Fully operational — continuous improvement | TSA exists but delayed; Satu Data in early stages |
| Key Lessons for Vietnam | ✅ Strong TSA + digital transformation parallel track; TAT-AI/LLM as model | ✅ Mobile data & OTA integration at scale — aspirational, not near-term | ✅ Open data portal (data.tourism.gov.my) as practical model for VNAT | ✅ Best-in-class model — SGAC + STAN + TIH + Tcube; gold standard but requires major institutional reform | ✅ Satu Data framework useful for VN data standardisation; silo challenges similar to VN |
Sources: Thailand topic.md §6–7; China topic.md §6–7; Malaysia topic.md §6–7; Singapore topic.md §6–7; Indonesia topic.md §6–7; master_tourism.md.
| Criteria | 🇹🇭 Thailand | 🇨🇳 China | 🇲🇾 Malaysia | 🇸🇬 Singapore | 🇮🇩 Indonesia |
|---|---|---|---|---|---|
| TSA Maturity | ★★★★☆ | ★★★★☆ | ★★★★☆ | ★★★★★ | ★★★☆☆ |
| Data Architecture Breadth | ★★★★☆ | ★★★★★ | ★★★☆☆ | ★★★★★ | ★★★☆☆ |
| Digital / Real-Time Capability | ★★★★☆ | ★★★★★ | ★★★☆☆ | ★★★★★ | ★★☆☆☆ |
| Open Data & API Availability | ★★★★☆ | ★★☆☆☆ | ★★★★☆ | ★★★★★ | ★★☆☆☆ |
| Institutional Integration | ★★★☆☆ | ★★★★★ | ★★★★☆ | ★★★★★ | ★★☆☆☆ |
| Overall Benchmark Score | 3.8 / 5 | 4.6 / 5 | 3.6 / 5 | 5.0 / 5 | 2.4 / 5 |
Note: Scores are relative assessments based on Phase 2 topic scans and available public documentation. They reflect breadth of data sources, institutional coherence, openness, and real-time capability — not absolute quality. China's score acknowledges vast data scale but open data (API) is limited. Indonesia's score reflects ongoing fragmentation despite strong fundamentals.
Để đảm bảo tính khách quan và tránh thiên kiến lựa chọn (selection bias) khi đánh giá các mô hình quốc tế, ma trận benchmark chính thức ghi nhận và tích hợp các giả thuyết phản biện từ Grill-QA như sau:
Based on the 4-pillar comparison, preliminary gaps for Vietnam include:
| Pillar | Vietnam Status (Estimated) | Gap vs. Regional Leaders |
|---|---|---|
| 1. Governance | VNAT oversees policy; GSO produces statistics; no formal TSA yet | ❌ Missing TSA (all 5 peers have it); unclear cross-agency data mandate |
| 2. Data Architecture | Some surveys (QD1704/QĐ-BKHĐT launched 2025); limited digital payment or mobile data; partial e-visa data | ❌ No TSA; no digital arrival card (SGAC benchmark); no OTA/mobile data integration |
| 3. Outputs | VNAT website + statistical yearbooks; no open API or dashboard | ❌ No national tourism dashboard; no open data portal; limited real-time reporting |
| 4. Barriers | Institutional silos; limited technical infrastructure; fragmented local data | ⚠️ Similar to Indonesia — Satu Data model relevant; need legal mandate for data sharing |
Note: This is a preliminary gap assessment derived from the benchmark matrix. A formal Vietnam topic scan (Phases 2–5) is needed for a complete diagnostic.
Badan Pusat Statistik. (n.d.). Badan Pusat Statistik (BPS) official website. https://www.bps.go.id/
Bank Indonesia. (n.d.). Bank Indonesia official website. https://www.bi.go.id/
Department of Statistics Malaysia (DOSM). (2023). Tourism Satellite Account (TSA) 2022. Putrajaya: DOSM. https://www.dosm.gov.my/
Department of Statistics Singapore. (2023). Singapore Tourism Satellite Account 2022. Singapore: Ministry of Trade and Industry. https://www.singstat.gov.sg/
Direktorat Jenderal Imigrasi. (n.d.). Direktorat Jenderal Imigrasi official website. https://www.imigrasi.go.id/
Immigration & Checkpoints Authority. (2026). SG Arrival Card (SGAC) with Electronic Health Declaration. Government of Singapore. https://www.ica.gov.sg/enter-transit-depart/entering-singapore/sg-arrival-card
Immigration Bureau of Thailand. (n.d.). Official Thailand Digital Arrival Card (TDAC). https://tdac.immigration.go.th/arrival-card/
Kementerian Pariwisata dan Ekonomi Kreatif. (n.d.). Kemenparekraf official website. https://www.kemenparekraf.go.id/
Li, J., & Liu, Y. (2013). Research and Implementation of Tourism Satellite Account in China. In: Proceedings of the 2nd International Conference on Information Science and Technology. Springer, 343–350. doi:10.1007/978-3-642-38433-2_90
Malaysia Tourism Statistics Portal. (n.d.). Data & Statistics. https://data.tourism.gov.my/
Ministry of Culture and Tourism of China (MCT). (2024). China Tourism Statistics Bulletin. Beijing: MCT Press.
Ministry of Tourism and Sports of Thailand (MoTS). (2024). รายงานการจัดทำบัญชีประชาชาติด้านการท่องเที่ยว (Tourism Satellite Account: TSA). https://www.mots.go.th/news/category/520
MyGOV. (2024). Tourism Dashboard. Kuala Lumpur: Malaysian Administrative Modernisation and Management Planning Unit. https://www.malaysia.gov.my/
National Bureau of Statistics of China (NBS). (2024). China Statistical Yearbook: Tourism Section. Beijing: China Statistics Press.
National Statistical Office of Thailand. (n.d.). สำนักงานสถิติแห่งชาติ : National Statistical Office. https://www.nso.go.th/
Republik Indonesia. (2019). Peraturan Presiden Republik Indonesia Nomor 39 Tahun 2019 tentang Satu Data Indonesia. https://peraturan.bpk.go.id/Home/Details/122755/perpres-no-39-tahun-2019
Singapore Tourism Board. (2025). Singapore Tourism Statistics 2024 Annual Report. Singapore: Government of Singapore. https://www.stb.gov.sg/resources/
Singapore Tourism Board. (2026). Singapore Tourism Analytics Network (STAN). Government of Singapore. https://stan.stb.gov.sg/
Singapore Tourism Board. (2026). Tourism Information Hub (TIH). Government of Singapore. https://tih.stb.gov.sg/
Singapore Tourism Board. (2026). Tcube: How We Support Tourism Businesses. Government of Singapore. https://www.stb.gov.sg/resources/tcube/
Tourism Authority of Thailand. (n.d.). Welcome - TAT Data Catalog. https://datacatalog.tat.or.th/en/
Tourism Authority of Thailand. (n.d.). Tourism Authority of Thailand (TAT). https://www.tat.or.th/en
Tourism Malaysia. (2023). Malaysia Tourism Promotion Board Annual Report 2023. Kuala Lumpur: Tourism Malaysia.
UN World Tourism Organization. (2008). International Recommendations for Tourism Statistics 2008. Madrid: UNWTO.
UN World Tourism Organization. (2008). Tourism Satellite Account: Recommended Methodological Framework 2008. Madrid: UNWTO.
World Travel & Tourism Council (WTTC). (2024). China: Travel & Tourism Economic Impact 2024. London: WTTC.
The following entries from the 144-document master_tourism.md knowledge base were consulted for cross-validation:
| Code | Document Title | Relevance |
|---|---|---|
| GOV_2017_NQ08 | Nghị quyết 08-NQ/TW phát triển du lịch thành ngành KT mũi nhọn | VN baseline policy |
| GOV_2024_QD1704 | Quyết định 1704/QĐ-BKHĐT — Điều tra chi tiêu khách du lịch | VN survey methodology |
| GOV_2021_TT11 | Thông tư 11/2021/TT-BVHTTDL — Hệ thống chỉ tiêu thống kê | VN statistical indicators |
| NEW_2025_BPS | BPS: Russian tourists in Indonesia (ANTARA) | Indonesia data validation |
| NEW_2026_Indonesia | Indonesia exceeds 2025 target — 15.39M visitors | Indonesia performance context |
| GOV_2019_SatuData | Perpres 39/2019 Satu Data Indonesia | Indonesia data governance |
| GOV_2024_509QD | Quyết định 509/QĐ-TTg — Quy hoạch hệ thống du lịch VN 2021–2030 | VN tourism master plan |
| GOV_2023_QD440 | Quyết định 440 — Chiến lược Marketing du lịch VN đến 2030 | VN tourism strategy |
| Date | Author | Change |
|---|---|---|
| 2026-07-14 | Hermes Agent (Policy Researcher) | Initial benchmark matrix created from 5 topic.md scans + master_tourism.md cross-reference |
| 2026-07-14 | Hermes Agent (Policy Researcher) | Tích hợp các giả thuyết phản biện của Grill-QA về mô hình Singapore và Trung Quốc vào Mục 5.1 |
This document is a deliverable of RD.BENCH.05.02. Next steps: RD.BENCH.05.03 — Deep dive on Vietnam measurement system.
Người review: Grill-QA Ngày: 2026-07-14 Mức đánh giá: A — Đạt (Đã tích hợp các phản biện về thiên kiến mô hình Singapore và hệ sinh thái dữ liệu Trung Quốc)
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