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±êÌ⣺Understanding the Impact of Trade Policy Effect Uncertainty on Firm-level Innovation Investment£¨ÒµÎñÕþ²ß²»È·¶¨ÐÔ¶ÔÆóÒµ´´ÐÂͶ×ʵÄÓ°Ï죩

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³ÂÆä£¨Daniel Q. Chen£©½ÌÊÚÈÎÃÀ¹ú±´ÀÕ´óѧRandall W. and Sandra Ferguson Endowed Professor½²Ï¯½ÌÊÚ ¡£ËûµÄѧÊõ×êÑÐÁìÓòÖØÒª¼¯ÖÐÔÚÊý×ÖÕ½ÊõÓ븨µ¼Á¦£¬´´ÐÂÖÎÀí£¬ÐÂÐ˼¼ÊõµÄÉç»áÓë¾­¼ÃÓ°ÏìµÈ ¡£ËûµÄÖøÊö°ä·¢ÔÚ¶à¸öÖÎÀíѧ¶¥¼¶ÆÚ¿¯£¬Ô̺¬Information Systems Research, Journal of Operations Management, Journal of the Association for Information Systems£¬Journal of Management Information System£¬Management Information System QuarterlyµÈ ¡£

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Drawing on real options and resource dependence theories, this study examines how firms adjust their innovation investments to address trade policy effect uncertainty (TPEU), a type of firm specific, perceived environmental uncertainty capturing managers¡¯ difficulty in predicting impacts of potential policy changes on business operations. We apply BERT, an advanced deep learning technique, to analyze the texts of mandatory management discussion and analysis sections of annual reports from 3181 publicly listed Chinese firms spanning the years 2007 to 2019. The econometric analyses show that firms experiencing higher TPEU will reduce innovation investments. This effect is stronger for firms facing lower competition, involving more foreign sales, and not owned by the state. These findings provide clarity on previously inconclusive results by showcasing the significant influence of policy effect uncertainty, as opposed to state uncertainty, on firms' decisions regarding innovation investments.

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