Annual Conference

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Accounting

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May 2025

Lie to Me: Video-Based Detection of ESG Washing

Yiwei DOU, Binglei DUAN, Danqi HU, Changtuo (Alto) LUO
We examine to what extent CEOs’ ESG commitment presentations reveal deception cues and thus facilitate the detection of ESG washing. Analyzing videos of bank CEOs’ ESG commitment speech made available by the United Nations Principles for Responsible Banking program, we construct deception scores...
Keywords: ESG, commitment, deception, video disclosure
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Annual Conference

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Accounting

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May 2025

Enhancing Investor Engagement with AI-Summarized Disclosures

T.J. WONG, Yang YI, Gwen YU, Shubo ZHANG, Tianyu ZHANG
We conduct a field experiment where we provide investors with an AI-generated summary of annual reports during virtual conference calls. We find that providing investors with annual report summaries increases investor participation during the calls. Specifically, treatment firms with AI-generated su...
Keywords: Retail investors, Generative AI, LLMs, information processing costs, field experiment, virtual conference calls
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Annual Conference

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Accounting

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May 2025

The Costs of Silence: The Impact of Misinformation Regulation on Finfluencers and Corporate Information Environment

Zhenghai CHI, Bin KE
Using the unique context of social media censorship in China, we investigate how misinformation regulation on investor-focused social media platforms influences the behavior of platform influencers (i.e., finfluencers) and its subsequent effects on capital markets. Our findings reveal that misinform...
Keywords: Misinformation, Social Media Censorship, Information in Digital Spaces, Corporate Information Environment
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Annual Conference

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Trade, Growth and Development

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May 2025

Bottom-Up Institutional Change and Growth in China

Heng CHEN, Bingjing LI, Xiaodong ZHU
This paper investigates the role of bottom-up reforms in driving China’s economic growth. Leveraging granular documentation from county-level gazetteers, we identify local reform events from 1976 to 2005, capturing de facto policy innovations and their diffusion. Our findings show that bottom-up r...
Keywords: Bottom-up institutional change, TFP growth, policy diffusion, machine learning
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Annual Conference

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Trade, Growth and Development

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May 2025

Decoding China's Industrial Policies

Hanming FANG, Ming LI, Guangli LU
We decode China’s industrial policies from 2000 to 2022 by employing large language models (LLMs) to extract and analyze rich information from a comprehensive dataset of 3 million documents issued by central, provincial, and municipal governments. Through careful prompt engineering, multistage ext...
Keywords: Industrial Policy, Large Language Models, Policy Diffusion, Relative Comparative Advantage
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