2026賽季HIEEC哈佛國際經濟學論文大賽題目
哈佛國際經濟學論文大賽由哈佛大學本科生經濟協會（HUEA）與《哈佛大學經濟評論》（HCER）聯合組織，面向全球高中生。賽事旨在讓學生運用經濟理論和實例論證觀點，鍛煉學術能力。優秀論文可發表于《哈佛經濟評論》，強調論證需有事實與文獻支持，數據分析類文章尤佳。當前，2026賽季的HIEEC哈佛國際經濟學論文大賽題目已公布，下面就來一起看看吧！
參賽者需從四道題目中選擇其一進行作答，論文字數不得超過1500詞。每位學生僅限提交一篇論文，且須通過HUEA官方網站在線提交，并以首次成功提交的稿件作為最終參賽版本。
題目一
環境- Environment
As climate change intensifies, governments and corporations are turning to carbon offset markets and nature-based solutions (like reforestation or carbon capture) to meet emission targets. Yet critics argue these mechanisms allow wealthy nations and firms to “buy their way out” of real reductions, while creating new inequities for developing economies.
Prompt: Evaluate the economic and environmental effectiveness of carbon offset markets as a tool for reducing global emissions. ?How might these markets influence international trade, investment, and development? Should countries prioritize direct emission reductions over offset schemes, or can both coexist effectively? Propose economic policies that could enhance the credibility and fairness of global carbon offset systems.
隨著氣候變化加劇，各國政府和企業正轉向碳補償市場及基于自然的解決方案（例如造林和碳捕獲技術）以實現減排目標。然而批評者指出，這些機制讓富裕國家和企業能夠通過"花錢購買"逃避實質減排責任，同時給發展中經濟體帶來新的不公。
議題：請評估碳抵消市場作為全球減排工具的經濟和環境有效性。這些市場會如何影響國際貿易、投資與發展？各國應優先采取直接減排措施而非依賴抵消機制，還是兩者可有效共存？請提出能夠提升全球碳抵消體系可信度與公平性的經濟政策建議。
題目二
不平等- Inequality
The rapid rise of generative AI and automation has sparked fears of a “productivity boom without wage growth,” where capital owners capture most of the benefits. Some economists propose implementing a universal basic income (UBI) or data dividend to redistribute the value created by automation.
Prompt: Analyze the potential of universal basic income or data dividends as policy responses to technological inequality. What economic trade-offs might arise from decoupling income from labor, and how could these affect long-term growth, innovation, and social cohesion? Consider how different income groups and countries at varying levels of development might respond to such policies
生成式人工智能和自動化的迅速崛起引發了人們對"生產率提高但工資停滯"的擔憂，資本所有者可能攫取大部分收益。部分經濟學家建議推行全民基本收入或數據分紅機制，以重新分配自動化創造的價值。
議題：分析全民基本收入與數據分紅作為應對技術性不平等之政策工具的潛力。當收入與勞動脫鉤可能引發哪些經濟權衡？這對長期增長、創新和社會凝聚力將產生何種影響？請考量不同收入群體及處于不同發展階段的國家對此類政策的可能反應。
題目三
勞動力和教育-Workforce & Education
Hybrid and remote work, accelerated by global digitalization, has reshaped labor markets and urban economies. As geographic proximity becomes less critical, cities face shifting housing demand, changing tax bases, and new infrastructure needs.
Prompt: Examine the long-term economic implications of a global shift toward remote and hybrid work. How might this transformation affect productivity, urban inequality, and educational priorities? What role should governments and institutions play in balancing the benefits of flexibility with the risks of labor market fragmentation?
全球數字化進程加速催生的混合辦公與遠程工作模式，已重塑勞動力市場與城市經濟格局。隨著地理鄰近性重要性下降，各城市正面臨住房需求變遷、稅基結構轉型及基礎設施新需求。
議題：探究遠程與混合工作模式全球性轉變的長期經濟影響。此變革將如何影響生產率、城市不平等現象及教育重點？在平衡工作靈活性與防范勞動力市場碎片化風險時，政府與機構應發揮何種作用？
題目四
加密貨幣/金融-Crypto/Finance
Amid rising debt levels and global inflation uncertainty, some governments have explored issuing tokenized sovereign bonds or blockchain-based currencies to improve transparency and accessibility. Yet such innovations raise questions about security, regulation, and the role of private intermediaries.
Prompt: Assess the economic and financial stability implications of tokenized government bonds and blockchain-based public finance systems. Could such technologies democratize investment and improve fiscal transparency, or do they introduce new systemic risks? How should central banks and regulators adapt to a financial system increasingly built on distributed ledger technology?
在債務水平攀升與全球通脹不確定性加劇的背景下，部分政府正探索發行代幣化主權債券或基于區塊鏈的數字貨幣，以提升透明度與可及性。然而此類創新引發了關于安全性、監管框架以及私營中介機構角色的新議題。
議題：評估代幣化政府債券與區塊鏈公共金融體系對經濟及金融穩定的潛在影響。此類技術究竟能推動投資民主化并提升財政透明度，抑或會引發新的系統性風險？各國央行與監管機構應如何適應日益基于分布式記賬技術構建的金融體系？
*以上譯文僅供參考
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