哈佛国际经济学论文大赛由哈佛大学本科生经济学协会（HUEA）和《哈佛大学经济评论》（HCER）联合主办。本次论文比赛面向所有高中生，让学生有机会展示自己的写作水平和对经济理论的理解。通过比赛，学生可以磨练学术和专业技能，并向未来的雇主很好的展示自己，获得更多学术项目。

参赛者须利用经济理论和现实案例提出一个令人信服的论点。获奖论文将发表在《哈佛经济评论》（Harvard Economics Review）上，供更多哈佛人阅读。论文应侧重于以事实和参考文献为支撑的论证，当然也欢迎基于数据撰写的论文。

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2026赛季题目已公布：

1.环境- 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.

随着气候变化加剧，各国政府和企业正转向碳补偿市场及基于自然的解决方案（例如造林和碳捕获技术）以实现减排目标。然而批评者指出，这些机制让富裕国家和企业能够通过"花钱购买"逃避实质减排责任，同时给发展中经济体带来新的不公。

议题：请评估碳抵消市场作为全球减排工具的经济和环境有效性。这些市场会如何影响国际贸易、投资与发展？各国应优先采取直接减排措施而非依赖抵消机制，还是两者可有效共存？请提出能够提升全球碳抵消体系可信度与公平性的经济政策建议。

2.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动化的迅速崛起引发了人们对"生产率提高但工资停滞"的担忧，资本所有者可能攫取大部分收益。部分经济学家建议推行全民基本收入或数据分红机制，以重新分配自动化创造的价值。

议题：分析全民基本收入与数据分红作为应对技术性不平等之政策工具的潜力。当收入与劳动脱钩可能引发哪些经济权衡？这对长期增长、创新和社会凝聚力将产生何种影响？请考量不同收入群体及处于不同发展阶段的国家对此类政策的可能反应。

3.劳动力和教育 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?

全球数字化进程加速催生的混合办公与远程工作模式，已重塑劳动力市场与城市经济格局。随着地理邻近性重要性下降，各城市正面临住房需求变迁、税基结构转型及基础设施新需求。

议题：探究远程与混合工作模式全球性转变的长期经济影响。此变革将如何影响生产率、城市不平等现象及教育重点？在平衡工作灵活性与防范劳动力市场碎片化风险时，政府与机构应发挥何种作用？

4.加密货币/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?​​

在债务水平攀升与全球通胀不确定性加剧的背景下，部分政府正探索发行代币化主权债券或基于区块链的数字货币，以提升透明度与可及性。然而此类创新引发了关于安全性、监管框架以及私营中介机构角色的新议题。

议题：评估代币化政府债券与区块链公共金融体系对经济及金融稳定的潜在影响。此类技术究竟能推动投资民主化并提升财政透明度，抑或会引发新的系统性风险？各国央行与监管机构应如何适应日益基于分布式记账技术构建的金融体系？

​*以上译文仅供参考