2026年哈佛国际经济学论文大赛(HIEEC)已正式启动。这项备受全球高中生瞩目的学术赛事,由哈佛大学本科生经济学协会(HUEA)与《哈佛大学经济评论》(HCER)联合主办,旨在挖掘和培养青年经济学人才。本文将为您全面梳理本届大赛的关键信息,包括比赛时间、命题方向、参赛规则等,助您高效备赛。
参赛者需严格遵循以下时间节点,确保顺利参赛:

本届赛题紧扣全球经济发展前沿,参赛者需从以下四个命题中选择其一,完成一篇论证严谨的英文论文。
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.劳动力与教育(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
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适合学生:全球范围内9-12年级在校高中生。
论文要求:
参赛论文将经历严格评审:
1.首先由HUEA和HCER的董事会进行初评。
2.脱颖而出的前十名入围作品,将交由哈佛大学知名教授、2016年诺贝尔经济学奖得主Oliver Hart进行最终评审。
3.奖项荣誉:
对于有意参赛的同学,建议从以下几个方面着手准备:
2026年HIEEC哈佛国际经济学论文大赛为全球高中生提供了一个展示经济学素养与学术潜力的高端平台。把握赛程时间,深入理解赛题,精心打磨论文,是成功的关键。预祝各位参赛者都能在此次学术盛宴中取得优异成绩!
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