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中国管理科学 ›› 2026, Vol. 34 ›› Issue (3): 25-38.doi: 10.16381/j.cnki.issn1003-207x.2022.1731cstr: 32146.14.j.cnki.issn1003-207x.2022.1731

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2021年拉闸限电事件对中国股市的冲击

孟佶贤1, 康吉嘉2, 杨倩倩2, 杨晓光2,3()   

  1. 1.北京林业大学经济管理学院,北京 100083
    2.中国科学院数学与系统科学研究院,北京 100190
    3.中国石油大学(北京)经济管理学院,北京 102249
  • 收稿日期:2022-08-10 修回日期:2024-03-25 出版日期:2026-03-25 发布日期:2026-03-06
  • 通讯作者: 杨晓光 E-mail:xgyang@iss.ac.cn
  • 基金资助:
    国家自然科学基金青年项目(72101253);国家自然科学基金重大项目(72192800)

The Impact of Power Rationing Events in 2021 on China's Stock Market

Jixian Meng1, Jijia Kang2, Qianqian Yang2, Xiaoguang Yang2,3()   

  1. 1.School of Economics and Management,Beijing Forestry University,Beijing 100083,China
    2.Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China
    3.School of Economics and Management,China University of Petroleum-Beijing,Beijing 102249,China
  • Received:2022-08-10 Revised:2024-03-25 Online:2026-03-25 Published:2026-03-06
  • Contact: Xiaoguang Yang E-mail:xgyang@iss.ac.cn

摘要:

2021年多省拉闸限电事件可视为一组影响股市的自然实验。本文选定2021年8月1日至2021年10月15日期间的48个交易日作为样本期,运用事件分析模型、多时点双重差分模型和三重差分模型来研究拉闸限电事件对于A股市场的冲击。结果发现:拉闸限电对限电省份高耗能行业的上市公司股票涨跌幅和超额收益率均有显著负向影响,而对限电省份上市公司股票涨跌幅和超额收益率整体上产生短期显著的正向影响,其主要是由限电省份非高耗能行业股票上涨所带动;进一步的研究表明拉闸限电对股市没有产生长期影响;投资者买入行为异质性分析表明,拉闸限电对限电省份个股涨跌幅和超额收益率的正向短期影响主要由机构和大户投资者的投资行为所带动,拉闸限电冲击使得这些投资者增加了对限电省份非高耗能行业股票的净买入单量。本文的研究表明证券市场在拉闸限电冲击下保持了平稳运行,反映出投资者对证券市场长期看好的稳定预期和对“双碳”目标下绿色转型的坚定信心,也能够在一定程度上证明中国经济应对冲击时具备坚强的韧性。

关键词: 拉闸限电, 涨跌幅, 超额收益率, 多时点双重差分, 三重差分

Abstract:

The power-rationing event implemented in many provinces in 2021 is the first major event that China has encountered in the process of economic green and low-carbon transformation under the background of the “double carbon” strategy, and it can be regarded as a natural experiment to affect the Chinese stock market. Will the power-rationing event have a significant impact on the Chinese stock market? How will investors choose under the impact of power-rationing? Will this event change people’s confidence in China’s economic development? To answer these important questions, 48 trading days from August 1st, 2021, to October 15th, 2021, are selected as the sample period to study the impact of the power-rationing event on China's A-share market by using the event analysis model, time-varying Difference-in-Differences and Difference-in-Differences-in-Differences models. The specific empirical work and the empirical conclusions in this article are as follows: First, based on the event analysis model, the impact of power rationing on different industries in power-restricted provinces is examined. The results show that after companies in high-energy-intensity industries are affected by power rationing, the stock price change, abnormal return, and institutional net buying orders decrease significantly; at the same time, companies in non-high-energy-intensity industries in power-restricted provinces are obviously affected by power rationing. However, the specific direction of the impact is not consistent with companies in high-energy-intensity industries. Second, based on the time-varying Difference-in-Differences model, whether the power rationing event had a significant impact on the A-share listed companies in power-restricted provinces is tested. The results show that the power-rationing event has a significant positive impact on the stock price change and abnormal return of companies located in power-restricted provinces, which are mainly driven by the rise in stock in non-high-energy-intensity industries in power-restricted provinces. Further testing of the dynamic effects shows that the power rationing had no long-term impact on the stock market. Third, based on the Difference-in-Differences-in-Differences model, the heterogeneity of investor buying behavior in the impact of power rationing on the stock market is examined. The results show that the positive short-term impact of the events on the stock price change and abnormal return in the restricted provinces is mainly driven by the investment behaviors of institutional investors and big investors. The events make these investors increase the net buy of stocks in non-high-energy-intensity industries in the power-restricted provinces. To sum up, the research in this article shows that the securities market has maintained smooth operation under the impact of power rationing, reflecting investors' stable expectations for the long-term optimism of the securities market and their firm confidence in the green transformation under the dual-carbon strategy. To a certain extent, it proves that China's economy has strong resilience in dealing with shocks.

Key words: power-rationing events, price change, abnormal return, time-varying difference-in-differences model, difference-in-differences-in-differences model

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