哈佛国际经济学论文竞赛（HIEEC）

1. 介绍

哈佛本科经济学会（HUEA）与《哈佛大学经济评论》（Harvard College Economics Review）联合举办旗舰赛事——哈佛国际经济学论文竞赛（HIEEC）。HIEEC为学生提供了展示经济理论写作能力和深刻理解的平台，帮助参赛者提升学术和职业技能，展现其经济学知识储备。

2. 哈佛国际经济论文竞赛主题

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.
环境： 随着气候变化加剧，各国政府和企业纷纷转向碳补偿市场和基于自然的解决方案（如植树造林或碳捕捉）以达成减排目标。然而，批评者认为这些机制让富裕国家和企业通过“购买解决方案”来避免真正的减排，同时给发展中经济体带来新的不平等。

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.
题目： 评估碳补偿市场作为减少全球排放工具的经济和环境有效性。这些市场如何影响国际贸易、投资和发展？各国是否应该优先考虑直接减排，而非依赖碳补偿机制，还是两者可以有效共存？提出可以增强全球碳补偿体系公信力和公平性的经济政策。

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.
不平等： 生成性人工智能和自动化的快速崛起引发了“生产力提升而工资停滞”的担忧，资本所有者捕获了大部分利益。一些经济学家提议实施普遍基本收入（UBI）或数据红利，以重新分配由自动化创造的价值。

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.
题目： 分析普遍基本收入或数据红利作为应对技术不平等的政策反应的潜力。将收入与劳动脱钩可能带来哪些经济权衡？这些权衡如何影响长期增长、创新和社会凝聚力？考虑到不同收入群体和处于不同发展水平的国家，如何看待此类政策的响应？

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.
劳动力与教育： 混合办公和远程工作在全球数字化的推动下重塑了劳动力市场和城市经济。随着地理距离不再是决定性因素，城市面临着住房需求变化、税基变化和基础设施需求的新挑战。

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?
题目： 审视全球向远程与混合工作转变的长期经济影响。这一转变如何影响生产力、城市不平等和教育优先事项？政府和机构应在灵活性的好处与劳动力市场碎片化的风险之间扮演何种角色？

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.
加密货币/金融： 在债务水平上升和全球通胀不确定性的背景下，一些政府探索发行代币化的主权债券或基于区块链的货币，以改善透明度和可获取性。然而，这些创新也引发了关于安全性、监管和私人中介角色的问题。

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?
题目： 评估代币化政府债券和基于区块链的公共金融系统对经济和金融稳定性的影响。这样的技术是否能实现投资民主化并改善财政透明度，还是引入了新的系统性风险？中央银行和监管机构应如何适应一个越来越依赖分布式账本技术的金融体系？

3. 奖项设置

• 前三名文章：经作者许可将在官网发表。
• 最终入围名单将在网络上公布，并由经济学家进行评审。
• “高度推荐”名单：获得此荣誉的作者名单将在线发布。