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“To Go Electric or to Burn Coal? A Randomized Field Experiment of Informational Nudges”

Hanming Fang, King King Li, Peiyao Shen, Feb 07, 2024

We conducted a randomized field experiment of informational nudges in northern China to investigate the potential obstacles that may hinder households from adopting cleaner heating, and evaluate the effectiveness of simple SMS nudges in encouraging the transition to electric heating.

Robots as Guardians: How Automation Has Made Chinese Workplaces Safer

Wei Luo, Lixin Tang, Yaxin Yang, Xianqiang Zou, Feb 03, 2026

Industrial robots are often discussed primarily in terms of their employment effects. New evidence from China shows that automation has also delivered substantial improvements in workplace safety, with sharp reductions in accidents and fatalities.

Internationalizing Like China

Chris Clayton, Amanda Dos Santos, Matteo Maggiori, Jesse Schreger, Feb 08, 2023

China’s strategy for internationalizing the renminbi involves controlling the access of foreign investors to the domestic bond market.

Migration,Tariffs,and China’s Export Surge

Chen Liu, Xiao Ma, Oct 22, 2025

China’s exports have increased dramatically in recent decades. We build a multi-sector spatial general equilibrium model and combine rich data sources to account for China’s export surge between 1990 and 2005 from three policy changes: China’s import tariffs, tariffs imposed on China’s exports, and barriers to internal migration in China. We find that the three policy changes jointly accounted for 30% of China’s export growth between 1990 and 2005 and that there is a positive interaction between tariff and migration policies.

Investor Memory and Biased Beliefs: Evidence from the Field

Zhengyang Jiang, Hongqi Liu, Cameron Peng, Hongjun Yan, Aug 20, 2025

We explore how investor memory drives belief formation and trading behavior, fueling financial market volatility. Drawing on surveys of over 17,000 Chinese retail investors linked to trading records, our study finds that recollections of past returns—shaped by both salient market events in the past and current market conditions—strongly influence expectations of future returns and investors’ portfolio choices, often outweighing objective historical data. These findings suggest that memory-driven biases amplify boom-and-bust cycles, with policy implications for improving market stability by counteracting distorted recall.