Economic Policy Uncertainty and Enterprise Financing Efficiency: Evidence from China

Tingli Liu, Xiao Chen () and Jianing Liu
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Tingli Liu: School of Economics and Management, Beijing University of Technology, Beijing 100124, China
Xiao Chen: School of Economics and Management, Beijing University of Technology, Beijing 100124, China
Jianing Liu: School of Economics and Management, Beijing University of Technology, Beijing 100124, China

Sustainability, 2023, vol. 15, issue 11, 1-27

Abstract: This study investigates the effect of economic policy uncertainty on financing efficiency in China’s high-tech manufacturing industry from static and dynamic perspectives. Using data envelopment analysis (DEA) and the Malmquist index, we measure financing efficiency and its changes over time. The results show that China’s high-tech manufacturing firms exhibit low static financing efficiency, yet they exhibit relatively high dynamic efficiency. A significant positive relationship is found between economic policy uncertainty and both static and dynamic financing efficiency. The uncertainty motivates firms to improve their financing efficiency, mainly by enhancing technical and scale efficiency and by increasing comprehensive efficiency. Moreover, different financing channels, such as commercial credit, equity financing, bank credit, and internal financing, have varied effects on the relationship between economic policy uncertainty and static financing efficiency. This study demonstrates that high-tech manufacturing enterprises can respond to economic policy uncertainty by improving their financing efficiency.

Keywords: high-tech manufacturing industry; economic policy uncertainty; static-dynamic financing efficiency; data envelopment analysis (DEA); Malmquist index (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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