Understanding the impact of trade policy effect uncertainty on firm-level innovation investment: A deep learning approach

Integrating the real options perspective and resource dependence theory, this study examines how firms adjust their innovation investments to trade policy effect uncertainty (TPEU), a less studied type of firm specific, perceived environmental uncertainty in which managers have difficulty predicting...

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Main Authors: CHANG, Daniel, HU, Nan, LIANG, Peng, SWINK, Morgan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/8302
https://ink.library.smu.edu.sg/context/sis_research/article/9305/viewcontent/SSRN_id3744966__1_.pdf
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spelling sg-smu-ink.sis_research-93052024-08-20T01:26:46Z Understanding the impact of trade policy effect uncertainty on firm-level innovation investment: A deep learning approach CHANG, Daniel HU, Nan LIANG, Peng SWINK, Morgan Integrating the real options perspective and resource dependence theory, this study examines how firms adjust their innovation investments to trade policy effect uncertainty (TPEU), a less studied type of firm specific, perceived environmental uncertainty in which managers have difficulty predicting how potential policy changes will affect business operations. To develop a text-based, context-dependent, time-varying measure of firm-level perceived TPEU, we apply Bidirectional Encoder Representations from Transformers (BERT), a state-of-the-art deep learning approach. We apply BERT to analyze the texts of mandatory Management Discussion and Analysis (MD&A) sections of annual reports for a sample of 22,669 firm-year observations from 3,181 unique Chinese public firms during the period of 2007-2019. The results of econometric analyses show that firms experiencing higher TPEU tend to reduce innovation investments. Furthermore, this effect is stronger for firms within industries with lower competition, involving more foreign sales, and not owned by the state. Our inferences persist when utilizing the abnormal TPEU derived from a two-stage analysis, and when filtering out other potential confounding effects. We further fortify the causal effect of TPEU by showing its impact on innovation investments was stronger after the outbreak of the ongoing U.S.-China trade war since 2018. These findings help to explain prior mixed findings by demonstrating that policy effect uncertainty, in contrast to policy state uncertainty, exerts a salient influence on firms’ innovation investment decisions, and by highlighting resource dependence factors as important contingencies. 2024-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8302 info:doi/10.1002/joom.1285 https://ink.library.smu.edu.sg/context/sis_research/article/9305/viewcontent/SSRN_id3744966__1_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Effect uncertainty Trade policy uncertainty Real options theory Resource dependence theory Innovation investment Deep learning Numerical Analysis and Scientific Computing Operations Research, Systems Engineering and Industrial Engineering Technology and Innovation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Effect uncertainty
Trade policy uncertainty
Real options theory
Resource dependence theory
Innovation investment
Deep learning
Numerical Analysis and Scientific Computing
Operations Research, Systems Engineering and Industrial Engineering
Technology and Innovation
spellingShingle Effect uncertainty
Trade policy uncertainty
Real options theory
Resource dependence theory
Innovation investment
Deep learning
Numerical Analysis and Scientific Computing
Operations Research, Systems Engineering and Industrial Engineering
Technology and Innovation
CHANG, Daniel
HU, Nan
LIANG, Peng
SWINK, Morgan
Understanding the impact of trade policy effect uncertainty on firm-level innovation investment: A deep learning approach
description Integrating the real options perspective and resource dependence theory, this study examines how firms adjust their innovation investments to trade policy effect uncertainty (TPEU), a less studied type of firm specific, perceived environmental uncertainty in which managers have difficulty predicting how potential policy changes will affect business operations. To develop a text-based, context-dependent, time-varying measure of firm-level perceived TPEU, we apply Bidirectional Encoder Representations from Transformers (BERT), a state-of-the-art deep learning approach. We apply BERT to analyze the texts of mandatory Management Discussion and Analysis (MD&A) sections of annual reports for a sample of 22,669 firm-year observations from 3,181 unique Chinese public firms during the period of 2007-2019. The results of econometric analyses show that firms experiencing higher TPEU tend to reduce innovation investments. Furthermore, this effect is stronger for firms within industries with lower competition, involving more foreign sales, and not owned by the state. Our inferences persist when utilizing the abnormal TPEU derived from a two-stage analysis, and when filtering out other potential confounding effects. We further fortify the causal effect of TPEU by showing its impact on innovation investments was stronger after the outbreak of the ongoing U.S.-China trade war since 2018. These findings help to explain prior mixed findings by demonstrating that policy effect uncertainty, in contrast to policy state uncertainty, exerts a salient influence on firms’ innovation investment decisions, and by highlighting resource dependence factors as important contingencies.
format text
author CHANG, Daniel
HU, Nan
LIANG, Peng
SWINK, Morgan
author_facet CHANG, Daniel
HU, Nan
LIANG, Peng
SWINK, Morgan
author_sort CHANG, Daniel
title Understanding the impact of trade policy effect uncertainty on firm-level innovation investment: A deep learning approach
title_short Understanding the impact of trade policy effect uncertainty on firm-level innovation investment: A deep learning approach
title_full Understanding the impact of trade policy effect uncertainty on firm-level innovation investment: A deep learning approach
title_fullStr Understanding the impact of trade policy effect uncertainty on firm-level innovation investment: A deep learning approach
title_full_unstemmed Understanding the impact of trade policy effect uncertainty on firm-level innovation investment: A deep learning approach
title_sort understanding the impact of trade policy effect uncertainty on firm-level innovation investment: a deep learning approach
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/sis_research/8302
https://ink.library.smu.edu.sg/context/sis_research/article/9305/viewcontent/SSRN_id3744966__1_.pdf
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