지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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Purpose – This paper aims to elucidate the complex relationship between Economic Policy Uncertainty (EPU) and Total Factor Productivity (TFP) in the context of Chinese A-share listed companies, exploring how various factors influenced this relationship from 2008 to 2020.
Design/Methodology/Approach – Our research design utilizes a comprehensive dataset from Chinese A-share listed companies across various sectors to explore the impact of Economic Policy Uncertainty (EPU) on Total Factor Productivity (TFP). We analyze a range of factors, including pollution intensity, manufacturing status, market indices, institutional attention, analyst coverage, internal control mechanisms, and bank shareholding.
Findings – The findings provide a nuanced understanding of how Economic Policy Uncertainty (EPU) impacts Total Factor Productivity (TFP) across Chinese A-share listed companies. Our analysis reveals that the influence of EPU on TFP is not uniform but varies significantly across different contexts, underscored by a variety of moderating factors. Among these, institutional attention and analyst coverage emerge as critical elements that shape the dynamics between EPU and TFP. Institutional attention, indicating the extent to which firms are monitored by regulatory bodies and investment institutions, plays a pivotal role in mitigating the negative effects of EPU.
Research Implications – The findings provide valuable insights for policymakers and industry stakeholders, emphasizing the importance of strategic alignment in managing economic uncertainties. The study contributes to understanding the dynamics of economic policy uncertainties in a complex market like China, helping inform more effective policy and management strategies.
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