Taiwan’s AI New Ten Major Projects White Paper: A Smart Nation Strategy Centered on Innovation-Driven Growth Theory

-

 Taiwan’s AI New Ten Major Projects White Paper: A Smart Nation Strategy Centered on Innovation-Driven Growth Theory

(Based on the Innovation-Driven Growth Framework of Mokyr–Aghion–Howitt)

The 2025 Nobel Prize in Economics was awarded to Joel Mokyr, Philippe Aghion, and Peter Howitt for their groundbreaking contributions to the theory of "innovation-driven economic growth."

Their research focuses on how innovation fuels long-term economic growth, elucidated from distinct perspectives:

  • Joel Mokyr, an economic historian at Northwestern University, received half the prize for demonstrating that technological progress drives productivity growth, contingent on societal institutions fostering knowledge exchange and experimentation.
  • Philippe Aghion (France) and Peter Howitt (Canada) shared the other half for their 1992 "Aghion–Howitt model," which formalized the theory of creative destruction, illustrating how innovation drives economic growth by replacing outdated technologies with new ones.

Abstract

This white paper leverages the "innovation-driven growth theory" of 2025 Nobel laureates Joel Mokyr, Philippe Aghion, and Peter Howitt as its theoretical foundation. It analyzes the institutional, technological, and economic dynamics of Taiwan’s AI New Ten Major Projects and proposes a smart nation growth framework integrating innovation culture, institutional trust, and AI infrastructure.

The report posits that AI development is not merely a technological investment but an engine for institutional innovation. By incorporating the Aghion–Howitt endogenous growth model and Mokyr’s theory of knowledge culture, this white paper establishes a triadic model of “AI × Institutions × Growth” as the core basis for policy design.

The ultimate goal is to transform Taiwan from a hardware-export economy into an innovation-driven civilizational economy, establishing its institutional advantages and ethical leadership in the global AI revolution.

I. Introduction: From the Industrial Revolution to the AI Revolution

The 2025 Nobel Prize in Economics, awarded to Joel Mokyr, Philippe Aghion, and Peter Howitt, recognizes their pioneering contributions to innovation-driven growth theory. Their work reveals that the interplay of technological innovation, institutional design, and knowledge evolution forms the fundamental engine of long-term economic growth.

Taiwan’s AI New Ten Major Projects represent a historic opportunity to transition from a hardware-centric island to a smart nation. This white paper uses the trio’s theoretical framework to analyze how AI infrastructure can be transformed into sustained innovation-driven growth and proposes a policy roadmap.

II. Theoretical Foundation: Three Pillars of Innovation-Driven Growth

PillarScholarly ContributionPolicy Implication
Institutional Knowledge CultureJoel Mokyr: Social accumulation of knowledge relies on cultural and trust structuresBuild open data and research trust networks, strengthen AI ethics, and foster cross-disciplinary collaboration
Creative DestructionAghion–Howitt Model: Innovation drives the replacement of old technologiesEncourage "innovative replacement" rather than protecting outdated industries
Endogenous GrowthTechnological progress stems from knowledge diffusion within firms and research institutionsAI infrastructure should integrate academia, industry, and public data ecosystems

III. AI New Ten Major Projects Framework (Integration of Policy and Theory)

AI New Ten Major ProjectsCorresponding Theoretical FunctionExpected Growth Mechanism
1️⃣ AI Supercomputing CenterKnowledge accumulation hub (Mokyr’s knowledge co-creation)Enhance marginal returns on national innovation
2️⃣ Smart Manufacturing UpgradeCreative destruction (Aghion–Howitt)Replace outdated production lines with AI-driven processes, boosting total factor productivity
3️⃣ Smart TransportationInstitutional innovation testing groundTest AI regulations and data-sharing frameworks
4️⃣ Smart HealthcarePublic data trust systemEstablish high-ethical-standard data governance frameworks
5️⃣ AI Education and Talent DevelopmentEndogenous diffusion of human capitalStrengthen AI graduate programs, technical faculty, and interdisciplinary training
6️⃣ Smart EnergyAI algorithms optimizing energy dispatchDevelop a "green innovation-driven growth model"
7️⃣ AI Semiconductor ManufacturingAI as the engine of foundational industry innovationDrive a virtuous cycle of chip-enabled knowledge and AI advancement
8️⃣ Smart AgricultureLocalized innovation ecosystemIntegrate AI into SMEs and rural areas, enhancing inclusive innovation
9️⃣ AI Governance and Legal SandboxInstitutional experimentation platformBalance innovation and risk, mitigating technological externalities
🔟 Open Data and National AI CloudKnowledge market infrastructureEstablish a "data public good" mechanism to promote enterprise innovation spillovers

IV. Model Illustration: The Growth Equation for AI-Driven Innovation

Based on the Aghion–Howitt endogenous growth framework, the simplified model is:

Y = A(K, L, I)

Where:

  • A (technological knowledge) is enhanced by AI innovation and institutional trust
  • I represents innovation investment
  • dA/dt = λ·I – δA, where the rate of technological progress depends on the balance between the innovation accumulation rate (λ) and knowledge depreciation rate (δ)

Applied to the AI New Ten Major Projects:

  • λ corresponds to policy implementation efficiency (e.g., speed of open data adoption)
  • I stems from government and corporate investment in AI infrastructure
  • δ can be reduced through institutional innovation and talent re-skilling

V. Policy Recommendations: An AI National Strategy Guided by Innovation Dynamics

(1) Institutional Innovation

  • Establish an AI Innovation Sandbox Law to enable cross-ministerial AI application trials, fostering creative destruction.
  • Create a Public Data Trust Fund to treat data as a public good for AI model training.

(2) Research and Talent Development

  • Launch an AI+X Doctoral Program to cultivate interdisciplinary research talent (engineering, social sciences, ethics).
  • Co-build AI Co-Innovation Labs with enterprises, leveraging Aghion’s endogenous growth mechanism to enhance innovation momentum.

(3) Industry and Regional Development

  • Plan an AI Industry Corridor based on the concept of "innovation diffusion waves," extending from northern AI cloud centers to central and southern application hubs.
  • Establish a Local AI Application Fund to support innovation in agriculture, healthcare, and environmental sectors.

(4) International and Strategic Dimensions

  • Form an AI Open Research Agreement with the EU and Japan to create a Mokyr-style cross-cultural knowledge co-creation platform.
  • Develop a Green AI Technology Export Model, positioning AI as Taiwan’s new knowledge-based export asset.

VI. Conclusion: From Innovation Theory to an Innovation Civilization

The theories of Mokyr, Aghion, and Howitt reveal:

"Economic growth is not an automatic process but a result of civilizational choices."

Taiwan stands at a critical juncture in the AI revolution.

By transforming the AI New Ten Major Projects into an institutional platform for an innovation ecosystem, Taiwan can not only sustain growth but also establish itself as a global leader in the AI civilization race, embodying both innovation and ethical excellence.

コメント

コメントを投稿

このブログの人気の投稿

修仙を極めた僕が量子理論で世界を救うまでの恋愛記録

-
イメージ
第一章：「 量子場の支配者 」 【オープニングナレーション】 伝説によれば、天地が分かれる以前、混沌が支配していた太古の昔、虚空を貫く目に見えぬ力が存在した――人々はそれを「原初の場」と呼んだ。 万物が形を成す前から場は存在し、粒子が生まれる前から波は既に潜在していた。 【主人公：星波悠真（ほしなみ ゆうま）・蒼雲宗外門弟子】 「師匠、私は毎日修行していますが、丹田に何の変化もありません。私の才能が低いのでしょうか？」 【師匠：玄場師（ゲンジョウシ）】 「お前の才能は非凡だ。ただ理解していないだけだ――この世に本当の『粒子』など存在しない。あるのは場の現れだけだ。」 悠真は驚く。「場？どんな場ですか？」 玄場師は空に手を差し伸べる。「あの瞬く星が見えるか？あれは星ではなく、場の振動だ。あの囁く風が聞こえるか？あれは風ではなく、波の囁きだ。」 「粒子？ハハ、それは場が空間に顔を出して『こんにちは』と言い、また眠りに戻るだけの点に過ぎん。」 🌌【嵐の夜】 悠真は偶然、宗門の禁地に迷い込み、「場源古陣」に落ちてしまう。彼の体内のあらゆる「場」が一斉に共鳴し始めた。 ⚡ 電子場が舞い、ヒッグス場が燃え、強い相互作用場が戦い、弱い相互作用場が怠け、重力場がふざけているのを目撃する…… 心の中に声が響く： 「『量子場視界』が開かれた。万物の真の姿が見えるだろう――全ての粒子は場の夢、全ての現象は波の舞い。」 🔥【三年後、悠真再臨】 「場の主宰者」と呼ばれる。霊気や剣に頼らず、ただ一念で天地万場を揺るがせ、軽く手を振るだけで敵の「量子重ね合わせを暴走」させ自滅させる。 敵は恐怖に叫ぶ：「彼は……我々と戦っているのではなく、宇宙の根源を操っている！」 🎬【エンドクレジット】 「真の達人は粒子を作らない――場を振動させる。」 「修行の極致は昇天ではなく、共鳴である。」 第二章：「絡み合う双魂・量子真我」 【オープニングナレーション】 悠真が「量子場の主宰者」となって以来、天地の万象は全て弦のような波動として彼に映る。しかし、量子場道の本当の恐ろしさは現象ではなく――「絡み合い」にあると、まだ気づいていなかった。 🌙【場面：蒼雲宗・外天谷】 雷鳴が轟き、山壁に神秘的な符号が現れる。悠真は虚空を凝視し、独り言を呟く。「この波形...
続きを読む

凡人修真の一念永恒（原典・呪文注釈付き）

-
イメージ
第一章《量子場尊》 📜【開場旁白】 傳聞上古之時，天地尚未開闢，混沌未明，有一股無形之力橫亙於虛空——世人稱之為「本源之場」。 萬物未形，場已存在；粒子未生，波已潛動。 【主角：李粒子，青雲宗外門弟子】 「師尊，我每日苦修，丹田毫無波動，是我資質太差嗎？」 【師尊：玄場子】 「你天資不凡，只是不懂——這世上從來沒有真正的『粒子』，只有場的顯化。」 李粒子震驚：「場？什麼場？」 玄場子抬手指天：「你看那星辰閃爍，不是星，是場之振動；你聽那風聲細語，不是風，是波之低語。」 「粒子？哈哈，那只是場在空間中的某一點，跳出來打個照面，然後又退回去繼續打瞌睡罷了。」 🌌【一晚雷雨之夜】 李粒子誤入宗門禁地，跌入神秘的「場源古陣」，體內各種「場」瞬間共振。 ⚡ 他見到了電子場在飛舞、希格斯場在閃耀、強交互場在打架、弱交互場在偷懶、重力場在摸魚…… 一道聲音在他腦中響起： 「你已開啟『量子場視界』，可見萬物實相——一切粒子，皆為場之夢；一切現象，皆為波之舞。」 🔥【三年後，李粒子重出江湖】 人稱：「場尊」。他不靠靈力，不靠寶劍，只用一道念力，震動天地萬場，隨手一撥，令敵人「量子疊加失控」，自我崩潰。 敵人驚呼：「他……他不是在打我，他是在操縱宇宙本源啊！！」 🎬【結尾字幕】 「真正的強者，不創造粒子——他震動場。」 「修仙修到極致，不是飛升，而是共振。」 第二章：《糾纏雙魂．量子真我》 📜【開場旁白】 自從李粒子踏入「量子場尊」之境，天地萬象於他心中皆如弦線波動。然他尚未明白，量子場之道，真正可怕的，不是顯化，而是——糾纏。 🌙【場景：青雲宗·天外谷】 風雷交加，山壁浮現神秘符文，仿若一道古老程式碼在空間中解碼。  李粒子凝神望向虛空，自語道：「這段波動……不是自然生成，是……另一個我？」 ⚛️【忽然虛空顫動，一道與他完全一模一樣的身影憑空出現！】  李粒子：「你是誰？」 👤「我，是你在另一個場域的投影，你呼喚我，我便顯現；你震動，我便共鳴。」  原來，李粒子無意中激活了場中被稱為「量子糾纏之印」的古老咒陣，使他的意識與另一個平行場域中的「真我」互相牽連，永世共振。 📖【回憶插敘】 玄場子曾語：「當你看見第二個自己，不要怕，那不是幻象，而是——場的多重態疊加所產生的共振靈魂。」 ...
続きを読む

Exploring Quantum Computing: Principles and Applications

-
イメージ
Quantum Computing: Theoretical Foundations and Applications Since Richard Feynman proposed the idea of “simulating nature with quantum systems” in 1981, quantum computing has gradually moved from theoretical blueprints into real-world laboratories. Tech giants such as IBM and Google have since taken the lead in developing cloud-based quantum platforms and conducting early-stage commercial testing. Feynman recognized that classical digital computation cannot efficiently simulate most quantum systems. As an alternative, he introduced the concept of a quantum simulator or quantum analog—a controllable quantum system designed to emulate another quantum system that we aim to study but cannot directly manipulate. His core insight was that  “nature cannot be simulated efficiently by a classical computer, but perhaps it can be simulated by a quantum mechanical system.” Unlike traditional computers that use bits as the basic unit of information, quantum computers are...
続きを読む