摘要：This paper explores the role of scientific fictions (Sci-Fi) in fostering curiosity and creativity, which are key to technological

创造力的种子：科学幻想的接触与职业选择

Seeds of Creativity: Exposure to Scientific Fictions and Occupational Choices

This paper explores the role of scientific fictions (Sci-Fi) in fostering curiosity and creativity, which are key to technological advancement. We exploit the short-term prosperity of Sci-Fi in China in early 1980s. Our cohort DID design leverages the variation in locality and time of the circulation of Sci-Fi magazines. We show that for the individuals who exposed to Sci-Fi magazines between age 12 and 22, the probability to become scientific and technical personnel are significantly higher, and their job task is more research-oriented. We provide evidence that the exposure to Sci-Fi magazines increases creative mind and openness, encourages tolerance to differences, reduces religiosity. Our findings highlight how individual exposure to new ideas in impressionable ages could have long-term impact on occupational choice and human capital formation.

梁平汉教授

中山大学

梁平汉是中山大学政治与公共事务管理学院教授。他在巴塞罗那自治大学获得经济学博士学位，曾在美国西北大学凯洛格管理学院和英国牛津大学圣安东尼学院担任访问学者。他的研究兴趣包括政治经济学、博弈论、行为经济学、实验经济学以及数字技术的社会影响。他的论文发表在《Economic Journal、Games and Economic Behavior》、《Economic Development and Cultural Change》、《Journal of Comparative Economics》等国际顶级期刊以及中国主要学术期刊上。他的研究得到国家自然科学基金、国家哲学社会科学基金的资助，并曾获得教育部及其他省级政府的奖励。

信息泄露与内部沟通

Leaks and Internal Communication

胡珮璁教授

香港大学

2025年4月25日（周五）

10:30-12:00

会议楼II，102会议室

We study how whistleblower policies affect a firm’s internal communication, public information and expected value. An informed manager, who can divert cash for private benefit, manipulates internal information available to the employee to cover up evidence of his misconduct. Given her information, the employee chooses whether to blow the whistle and an action which affects internal alignment. Larger whistleblower rewards for the employee and harsher penalties for the manager reduce misconduct but also worsen internal communication. Public information quality worsens with harsher penalties but improves with larger rewards. Finally, when misalignment is sufficiently costly, such policies decrease firm value.

胡珮璁教授

香港大学

胡珮璁在加州大学圣地亚哥分校取得了经济学博士学位。她的研究方向包括公司自愿披露信息的行为和投资者理性忽视在资本市场的影响。

终究是诅咒吗？自然资源的繁荣、衰退与枯竭

A Curse After All? Natural Resource Booms, Busts, and Depletion

讲座信息

主讲人

尤炜教授

北京大学

日期和时间

2025年4月25日（周五）

10:30-12:00

地点

综合教学楼D904会议室

论文摘要

Do abundant natural resources promote or hinder local economic development? We contribute to this long-standing debate using a novel data set from China during 1990-2020. Using a "shift-share" strategy that interacts mineral reserve value with world price changes, we show that resource booms do not crowd out local manufacturing activity but amplify the impacts of resource price fluctuations on local GDP per capita and population for resource-abundant counties. In the long term, a higher resource reserve value is associate with neither faster nor slower economic growth. However, counties that have depleted their major mineral resources experience much slower economic growth conditional on initial resource endowment. Among resources-depleted counties, those who have previously substantially subsidized their manufacturing sector exhibit relatively better economic performance.

主讲人简介

尤炜教授

北京大学

尤炜是北京大学新结构经济学研究院助理教授。他于2017年获得加州大学圣地亚哥分校经济学博士学位，并在2017至2020年期间担任纽约大学研究员。他的研究领域包括城市经济学、发展经济学以及其他应用微观经济学相关主题。他的研究成果发表在《American Economic Journal: Applied Economics》、《Journal of Labor Economics》、《Journal of International Economics》、《Journal of Development Economics》等权威学术期刊上。

去中心化金融的量化投资

Quantitative Investments in Decentralized Finance

讲座信息

主讲人

Evgeny Lyandres教授

特拉维夫大学

日期和时间

地点

综合教学楼D804会议室

论文摘要

This project contains the first in-depth analysis of the most important investment strategy in DeFi – provision of concentrated liquidity to automated-market-making liquidity pools. The first contribution of this project is compilation of data on the whole population of concentrated liquidity positions and trades on the Ethereum blockchain. These data are vast, currently encompassing over 6,000 liquidity pools, over a million liquidity provision and withdrawal events, and over 70 million trades, as of the end of 2024. Concentrated liquidity provision is a combination of several strategies: liquidity concentration (the core quantitative part of the strategy); pool choice, which is a combination of a bet on trading volume in the pool and a reverse bet on the volatility of the exchange rate of the pool’s assets; asset picking; market timing; and transaction (gas) cost optimization. The second (methodological) contribution of the project is development of a unique decomposition of the concentrated liquidity provision strategy’s P&L into aforementioned comonents. The third contribution of the project is an in-depth analysis of relations between strategy parameters, strategy deployer characteristics, and liquidity pool characterestics on one hand and the profitability of each of strategy components on the other hand. To my knowledge, this is the first large-sample academic study of performance of concentrated liquidity provision strategies in DeFi. The fourth contribution of this project is to the broader literature on performance of quantitative strategies. Unlike in traditional asset markets, all strategies by all market participants in the DeFi market are observable and decomposable, and the performance of each aspect of every strategy is measurable. An additional advantage of the DeFi setting is that there is significantly less fundamental information in crypto assets than in assets traded in traditional markets, making quantitative strategies the predominant kind. By examining performance of various components of liquidity provision strategies, this project will shed light on quantitative investors’ skills and on reasons for the growth in the share of quantitative investments in the overall investment landscape.

主讲人简介

Evgeny Lyandres的研究重点是企业财务战略与经营战略之间的相互作用，以及产品市场竞争对各类企业财务决策的影响，例如资本结构选择、并购战略和上市选择。他还对实物期权理论在企业财务和投资决策中的应用感兴趣。近期，他的研究重点主要转向区块链技术在金融领域的应用。他的理论和实证论文发表于《The Journal of Finance》、《Journal of Financial Economics》、《Review of Financial Studies》、《Management Science》、《Journal of Business》、《 Review of Finance》和《Journal of Financial and Quantitative Analysis》等国际顶级金融期刊上并获得许多奖项。Evgeny担任《Journal of Corporate Finance》的联合编辑以及多家期刊的副主编。

CEO的日程安排风格与企业社会责任

CEOs’ Scheduling Styles and Corporate Social Responsibility

讲座信息

主讲人

唐翌教授

香港大学

日期和时间

2025年4月25日（周五）

10:00-11:30

地点

综合教学楼D403会议室

Scheduling is about arranging and organizing daily activities along a time continuum. This study examines CEOs’ scheduling styles and their implications for their firms’ strategic decisions in the social domain. Specifically, scheduling activities sequentially in event-time, rather than allocating each individual task a separate time slot in clock-time, involves viewing the arranged activities and their associated time slots as interrelated or connected rather than as separated or isolated, and subsequently activates a tendency for holistic thinking rather than narrow thinking. CEOs with an event-time (clock-time) scheduling style thus tend to consider more groups of stakeholders over a broader range (narrowly consider a smaller group of stakeholders), leading to greater (less) engagement with corporate social responsibility (CSR). We predict a positive (negative) relationship between CEOs’ event-time scheduling (clock-time scheduling) and CSR. We develop a novel measure of CEO scheduling styles using a named-entity recognition (NER) algorithm, and further validate the measures using human rating measures from a survey and measures from a supervised machine-learning categorizer (ML categorizer). Analyzing the language content of Q&A sessions given by 2,625 CEOs of U.S. publicly listed firms during quarterly earnings conference calls in the years 2009-2018, we find strong support for our predictions. A series of methods, including Bartik’s shift-share instrument variables (IVs), IVs based on historical political economy literature, difference-in-difference-in-differences (DDD) design, and correction for omitted confounding variables help establish robust identification. Additional analyses using survey and experiment provide convergent evidence.

唐翌教授

香港大学

唐翌教授现任香港大学商学院战略学副教授（终身教职），他毕业于香港科技大学（HKUST）并获得博士学位。他的研究领域涵盖战略领导力、企业社会责任、企业创新以及家族企业的交叉领域。其研究成果已发表在《Academy of Management Journal》、《Strategic Management Journal》、《Organization Science》、《Journal of Management》、《Journal of Management Studies》和《Journal of Business Venturing》等顶级学术期刊上。目前，他担任《Strategic Management Journal》、《Organization Science》、《Journal of Management》和《Journal of Management Studies》的编委，同时担任《Management and Organization Review》的高级编辑，并曾为《Journal of Management Studies》、《Long Range Planning》和《Family Business Review》担任客座编辑。

内容创作者寻求算法帮助的

策略对消费者的影响

Algorithm Please: Effect of Creators Seeking Help from Algorithms on Consumer Reaction

刘文静教授

清华大学

2025年4月25日（周五）

10:30-12:00

综合教学楼D504会议室

In the evermore thriving creator economy, content recommendation algorithms play a crucial role in determining what is relevant and popular on social media platforms. In response, many creators have developed various practices to take advantage of these algorithms. One novel and prevalent practice is explicitly seeking help from algorithms in the posts, such as saying, “Algorithms please show this to young women.” Across seven studies (including a field study, a large-scale social survey, and five online experiments, two pre-registered), we consistently find that this practice can harm actual consumer responses and marketing outcomes, deviating from what the creators originally intended. This occurs because consumers perceive creators seeking help from algorithms as implementing platform optimization, and infer intentionality from their actions. Furthermore, we identify the purpose of seeking help as a key moderator, whereby the negative effect of this practice is attenuated when creators do so for others’ interests (vs. self-interest). This research not only contributes to research on creators’ algorithm-leveraging practices, platform optimization, and inferred creator intentionality, but also offers insights into how creators can leverage algorithms more wisely.

刘文静教授

清华大学

刘文静（Maggie Wenjing Liu）是清华大学经济管理学院市场营销系长聘副教授、学术报告委员会主席，清华大学文化经济研究院副院长，清华经管学院计算与行为科学实验室副主任。她毕业于多伦多大学罗特曼管理学院，获市场营销学博士学位。她的研究领域包括消费者行为、产品与服务体验、决策科学及定价策略，其成果发表于《Production and Operations Management》、《International Journal of Research in Marketing》、《Journal of Consumer Psychology》、《INFORMS Journal on Computing》、《Marketing Letters》、《Journal of International Marketing》等国际权威学术期刊。她主持了4项国家自然科学基金项目（3项面上项目及1项青年项目），现任《Journal of Marketing Science》副主编，并担任《Marketing Letters》、《Journal of Business Research》、《Journal of Consumer Behaviour》编审委员会委员，以及《Journal of Research in Interactive Marketing》编辑顾问委员会委员。

来源：新浪财经