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我系嚴飛老師與廣州大學李雙龍老師的論文Searching for red songs: The politics of revolutionary nostalgia in contemporary China近日于The China Quarterly(《中國季刊》)發表。The China Quarterly連續五年均位于區域研究領域SSCI期刊的前三名。該研究通過對在線搜索的海量數據進行分析,檢視了懷舊情緒的地方性差異,是歷史、文化與數據分析多元交叉的一次前沿探索。嚴飛老師為本文通訊作者。

Li, Shuanglong and Fei Yan. 2020. “Searching for red songs: The politics of revolutionary nostalgia in contemporary China.” The China Quarterly 242, 508–528.


Applying a novel approach based on online query volume data, this study provides the first large-scale portrait of revolutionary nostalgia among the Chinese, undertaking an empirical analysis of how the aggregate level of nostalgia is shaped. For each Chinese province, we use the normalized frequency of searches for red songs on Baidu, the most widely used online search engine in China, to quantify the local level of nostalgia. We find that the evolving trends of nostalgia among the provinces are similar but stratified. The results from the dynamic panel data analysis using the Generalized Method of Moments indicate that revolutionary nostalgia is significantly affected by a set of socio-economic determinants, including GDP per capita, income inequality, social development, legal development and the degree of globalization.



  • Yan, Fei. 2019. Review of “Violence, Periodization and Definition of the Cultural Revolution.” The China Journal 82, 145–147.

  • Yan, Fei. 2019. “Political process and the origins of Red Guard movement in China.” International Sociological Association E-Symposium 9(2), 1–11.

  • Yan, Fei. 2018. “Political dynamics of mass factionalism: Rethinking factional conflict in Guangzhou, 1967.” China: An International Journal 16(4), 1–25.

  • Yang, Wenqi and Fei Yan. 2017. “The annihilation of femininity in Mao’s China: Gender inequality of sent-down youth during the Cultural Revolution.” China Information 31(1), 63–83.






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