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Open Access

Peer-reviewed

Research Article

RETRACTED: The impacts of economic policy uncertainty on firm cash holding in China

  • Xin Chen,

    Roles Conceptualization, Data curation, Methodology, Resources, Validation, Writing – original draft, Writing – review & editing

    Affiliation School of Law and Business, Sanjiang University, Nanjing, China

    ⨯
  • Jiannan Li,

    Roles Visualization, Writing – review & editing

    Affiliation School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China

    ⨯
  • Decai Tang,

    Roles Conceptualization, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliations School of Law and Business, Sanjiang University, Nanjing, China, School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China

    ⨯
  • Li Shang ,

    Roles Formal analysis, Methodology, Supervision, Validation, Visualization, Writing – review & editing

    benzhu123@jssnu.edu.cn

    Affiliation School of Business, Jiangsu Second Normal University, Nanjing, China

    ⨯
  • Valentina Boamah,

    Roles Visualization, Writing – review & editing

    Affiliation School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, China

    ⨯
  • Jiayi Xu,

    Roles Data curation, Investigation, Software, Validation, Writing – review & editing

    Affiliation School of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, China

    ⨯
  • Zixuan Deng

    Roles Investigation, Writing – review & editing

    Affiliation School of Geography, Nanjing Normal University, Nanjing, China

    ⨯

Retraction

The PLOS One Editors retract this article [1] because it was identified as one of a series of submissions for which we have concerns about potential manipulation of the publication process, peer review integrity, and authorship. These concerns call into question the validity and provenance of the reported results. We regret that the issues were not identified prior to the article’s publication.

DT did not agree with the retraction. XC, JL, LS, VB, JX and ZD either did not respond directly or could not be reached.

23 Oct 2025: The PLOS One Editors (2025) Retraction: The impacts of economic policy uncertainty on firm cash holding in China. PLOS ONE 20(10): e0335086. https://doi.org/10.1371/journal.pone.0335086 View retraction

Abstract

Cash holding is an important strategic decision of enterprises. As a macro-level factor, economic policy uncertainty causes risks, affecting enterprises’ cash holdings. Taking the quarterly financial data of China’s A-share non-financial listed firms for 2010–2020 as a sample, this study adopts the OLS and fixed effect models to investigate how corporate cash holdings are affected by economic policy uncertainty. The findings indicate that economic policy uncertainty is directly proportional to the level of cash that listed corporations hold. The higher the uncertainty, the more cash the company holds. Among them, state-owned enterprises and the manufacturing industry are more significantly affected by economic policy uncertainty. Finally, considering the regional marketization level and the differences in financing constraints enterprises face, it is concluded through grouping empirical studies that enterprises located in regions with lower marketization levels are more susceptible to policy uncertainty, while financially constrained enterprises are more susceptible to economic policy uncertainty. The study of economic policy uncertainty is helpful to guide enterprises to realize the importance of coping strategies in advance under the background of intensifying economic policy uncertainty. Therefore, this paper proposes to introduce policies on the premise of fully considering the smoothness of the economy and the differences in the conditions of firms of different natures, as well as some proposals to alleviate financing constraints, reduce the adverse effects of uncertainty on firms, and bolster the marketization process.

Citation: Chen X, Li J, Tang D, Shang L, Boamah V, Xu J, et al. (2023) RETRACTED: The impacts of economic policy uncertainty on firm cash holding in China. PLoS ONE 18(11): e0293306. https://doi.org/10.1371/journal.pone.0293306

Editor: Difang Huang, The University of Hong Kong, HONG KONG

Received: September 12, 2023; Accepted: October 9, 2023; Published: November 22, 2023

Copyright: © 2023 Chen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Data Availability: All relevant data are within the paper and its Supporting Information files.

Funding: The authors received no specific funding for this work.

Competing interests: The authors have declared that no competing interests exist.

1. Introduction

The global financial crisis, the European debt crisis, and the COVID-19 turmoil have made changes in the international economic situation more difficult to predict [1, 2]. The stock market, as a barometer of the economy, has also experienced sharp oscillations in the face of frequent changes in the external economic situation. This has prompted countries to introduce a series of policies to ensure the stability of corporate cash flow and realize the smooth operation of the economy [3–8]. As such, companies should also operate with increased resilience to financing constraints and growing economic policy uncertainty [9].

Cash, as the most liquid asset, is an important strategic decision for an enterprise and the key to its sustainable operation. In the real environment, the defects of the capital market and corporate governance structure provide theoretical support for the cash holding of enterprises. In the face of higher external financing costs, investment in current assets becomes the best response to meet future production needs [10]. Having enough cash on hand increases corporate liquidity and reduces the likelihood of future financial distress. Corporate cash holding, as a micro-level behavioral decision, is closely related to the company’s investment and financing ability, and its research is of great significance.

In recent years, the government has introduced and implemented various fiscal, monetary and other economic policies to develop the new normal of the economy. The uncertainty of these policies in terms of specific content, implementation intensity and effect will impact corporate governance decisions. As an important decision of enterprises, cash holdings can help enterprises better cope with the risks brought by the uncertainty of the macro environment. Therefore, the cash holdings’ level will change with the uncertainty brought by economic policies. By analyzing how economic policy uncertainty impacts the cash holding level, the combination of macro and micro levels is realized.

Most of the articles about cash holding are studied from the influencing factors. Considering the economic policy uncertainty, this research studies its impact on cash holding level and carries out heterogeneity analysis from property rights nature and industry types. It further introduces financing constraints and regional marketization factors to increase the discussion on economic policy uncertainty, on the one hand. On the other hand, it analyzes how different economic policy uncertainty influences cash holdings in various scenarios.

2. Literature review and research hypothesis

2.1 Economic policy uncertainty and cash holding level

As the guarantee of normal operation and investment of enterprises, cash holding decision has an important position. The research on cash holding includes macro and micro aspects. On the one hand, different scholars choose different indicators to study influencing factors or focus on the relationship between cash holdings and another variable. Diaw [11] studied the determinants of cash holdings of enterprises in emerging countries and found that highly liquid enterprises have the characteristics of large scale, low capital expenditure, high leverage ratio, few intangible assets and low R&D expenses. Based on research on British publicly traded corporations, Magerakis et al. [12] concluded that the higher the cash flow risk, the more growth opportunities, and the higher the R&D expenditure, the more cash holdings, and for precautionary reasons, small businesses tend to hold more cash. Palazzo [13] concluded that there is a positive correlation between the expected return on equity and cash reserves based on the demand for precautionary savings. Wu et al. [14] discussed the relationship between the board of directors and cash holdings. Liu et al. [15] studied the positive correlation between R&D investment and cash reserves by taking Chinese companies as samples. Their study mainly discusses from the perspective of the macro level, such as policy environment, economic cycle and so on. Different economic policies need to be introduced at different stages of economic development, which will produce policy uncertainty. The theory of cash holding, according to the precautionary intention, holds that the greater the uncertainty of economic policy, the more cash firms will hold to avoid liquidity shortage in the future. Most scholars conclude that corporate cash holdings and economic policy uncertainty are positively correlated through empirical research [16–19]. Among them, Wang [17] combined the economic cycle with economic policy uncertainty: During economic prosperity, economic policy uncertainty can positively affect the listed companies’ cash levels; during an economic recession, the two are negatively correlated in the early period and positively correlated in the later period, indicating that corporate cash holdings are subject to greater financing constraints brought about by economic policy uncertainty. Su et al. [20] found a U-shaped connection between company cash holdings and economic policy uncertainty. Javadi et al. [21] used data from non-American companies in 19 countries to find that cash holdings were negatively correlated with economic policy uncertainty. In addition, some papers also study the connection between corporate value and economic policy uncertainty. Zhu et al. [22] concluded that enterprise value is inhibited by economic policy uncertainty. Jory et al. [23] documented that tightening trade credit amid high economic policy uncertainty only temporarily increases a firm’s worth; after that, the firm’s worth starts to decline.

In the presence of economic policy uncertainty, enterprises can reduce labor costs through artificial intelligence and cloud computing. Moreover, they need to reduce individuals in uncertain situations [24–28], and holding more cash can mitigate its negative impact on capital investment and innovation output [18]. The higher the uncertainty, the more risk the future cash flow will face, leaving more cash in hand. Based on the review of previous literature, we propose hypothesis 1:

Hypothesis H1: Economic policy uncertainty is actively connected with the corporate cash holding level.

2.2 Influence of financing constraints and marketization process

Easing financing constraints is very important for the marketization of enterprises [29]. Arslan [30] proposed that there are defects in the capital market, including information asymmetry and agency costs, which lead to the contradiction between internal and external capital costs. The difference in internal and external financing costs makes enterprises face financing constraints. According to Chen et al. [31], higher cash reserves could tempt the bidder to start mergers and acquisitions in advance in the case of financing restrictions. Therefore, when enterprises face financing constraints, liquidity management may become a key issue in corporate governance [32].

There are different ways to measure financing constraints. The first is to use a single variable as an indicator. For instance, Almeida et al. [32] divided the sample companies into two categories: unconstrained and constrained, by using four indicators: payment policy, asset scale, bond rating and commercial paper rating. Lin and Ma [33] used the financial institutions’ per capita loan balance to measure financing constraints. The second type is measured using a linear combination of several variables. Kalpan and Zingles [34] used the KZ index constructed by variables such as operating cash flow, cash holdings, dividends, leverage and growth to gauge financial restrictions. Whited and Wu [35] took industry sales growth and sales growth into the analysis scope and constructed a new measurement index—the WW index. The KZ index and WW index were analyzed using a model established by Hadlock and Pierce [36], who concluded that the age and size of enterprises are effective predictive indexes of the level of financing constraints and proposed a new method to measure financing constraints—the SA index.

Most scholars have reached a consistent conclusion through research that financing constraints impact cash holdings [37–39]. Almeida et al. [32] used cash-cash flow sensitivity to measure financing constraints and empirically demonstrated that when financing-constrained enterprises have higher cash flow, their current assets will increase, and their cash flow sensitivity will be positive. No matter the nature of their cash flows, companies with financing limitations typically have bigger cash reserves [40]. Tran [41] analyzed that enterprises not constrained by financing are more affected by the financial crisis, and the uncertainty brought on by the crisis and external financing constraints make enterprises save more cash. Habib et al. [42] proved that unconstrained companies with low cash holdings have better enterprise value based on Chinese manufacturing enterprises. Uncertainty will make enterprises face more fluctuations in cash flow, and the increase in future cash flow volatility will lead constrained enterprises to be more cautious and respond to future investment needs by increasing cash holdings [43]. The review of the studies presented above leads to the following hypothesis in this paper:

Hypothesis H2: Financing constraints will strengthen the beneficial effects of uncertain economic policies on cash reserves.

Information asymmetry and agency cost result in companies’ financing limits, thus leading to a further consideration of the institutional environment’s role. Moreover, the degree of marketization might be seen as a particular indicator of regional institution caliber [44, 45]. China is transitioning to a market economy, and various areas have undergone varying degrees of market-oriented growth [46]. The marketization indicator report created by Wang Xiaolu et al. is used as the proxy index of marketization level in most existing literature [47–49]. The degree of marketization attenuates the detrimental effects of unclear economic policy on inefficient investment [50]. The growth of the digital economy helps to increase the level of marketization [51]. First of all, governmental intervention is lower in areas that have a higher degree of marketization, resources are mainly allocated by the marketplaces, and enterprises are not easily impacted by policies. Secondly, the product and factor markets of regions with faster marketization processes are more developed, and the company has more financing channels and tools to avoid risks. To sum up, when the external institutional environment is relatively perfect, the phenomenon of information asymmetry is alleviated, which is helpful for enterprises to obtain information for financing. This leads to the third hypothesis proposed in this paper:

  1. Hypothesis H3: The cash holding level of enterprises with lower regional marketization levels is more likely to experience effects from economic policy uncertainty.

3. Research methodologies

3.1 Sample selection and data sources

This paper uses quarterly data from A-share company listings in Shanghai and Shenzhen between January 1, 2010, and December 31, 2020, as research samples and makes further processing: ST and PT companies, financial as well as insurance firms, and firms with data that were lacking during the sample period were excluded. The Economic Policy Uncertainty Index’s official website provides data on economic policy uncertainty, and the overall marketization indicator of each region in China’s Marketization Index Report by each Province is used to determine the level of marketization (2021) [52]. All other data are from the CSMAR database. Finally, 1,516 listed companies were selected, with a total of 66,704 data. This paper uses the STATA 15 software for empirical analysis.

3.2 Variable description

Cash holdings (cash). To measure the cash holding level, the proportion of monetary funds and transactional financial assets to overall assets is taken as a variable [10, 43].

Fig 1 shows the cash holdings status of 31 provinces and cities in China from 2010 to 2020. From the overall scope, the cash holding level of the employed provinces and cities showed a downward trend from 2010 to 2020. From the perspective of regional scope, the cash holding level in eastern China is higher than that in central and western with an obvious regional difference.

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Fig 1. Cash holdings in 2010–2020.

https://doi.org/10.1371/journal.pone.0293306.g001

Economic Policy Uncertainty (EPU). Baker et al. and Wang [17, 53] created a monthly measure of Chinese economic policy uncertainties, and this paper adopts it as a variable to measure economic policy uncertainty. The South China Morning Post, the biggest English-language daily in Hong Kong, is used as a text object in the index, which filters and calculates the number of articles on economic policy uncertainty in it, then divides with the overall amount of publications for the month to arrive at the EPU index. This paper refers to Gulen and Ion’s [54] method to convert monthly data into quarterly data, and the specific calculation formula is as follows: (1)

By observing the Chinese EPU index constructed by Baker et al. from 2010 to 2020, as shown in Fig 2, China’s EPU index was relatively high in 2012, 2016–2018 and 2019–2020, respectively [53].

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Fig 2. Economic policy uncertainty index.

https://doi.org/10.1371/journal.pone.0293306.g002

Financing constraints. In the empirical part, this paper selected the SA index [55] to measure financing constraints. Hadlock et al. [36] concluded through empirical analysis that company size and age could reasonably estimate financing constraints and help reduce endogeneity. Therefore, this study adopts the SA index composed of company size and age to assess the financing restrictions faced by enterprises. The specific expression of the index is as follows: . In the robustness test part, this paper uses univariate indicators to assess the financing restrictions level faced by enterprises, refers to the practices of Almeida et al. and Cleary [32, 56], and adopts company size to measure financing constraints: Smaller companies have narrow financing channels, higher financing costs, shortlisting time, less access to information, and information asymmetry. Large-scale companies are more efficient in terms of governance level and internal operation. Moreover, they have more advantages in cash flow than smaller companies and obtain external financing more easily.

Control variables. This paper uses company size, financial leverage, cash flow, net working capital, liquidity, capital expenditure, ROA and ROE as control variables. Table 1 displays the specific variable description.

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Table 1. Description of variables.

https://doi.org/10.1371/journal.pone.0293306.t001

3.3 Model design

Based on the models of Opler et al. [57] and Trinh et al. [58], this study adopts the following models to examine the proposed hypothesis: (2) where αk indicates the regression coefficient, i indicates the enterprise, and t is the time. Considering the time effect of economic policy, EPU takes one stage lag for regression. Furthermore, the economic policy uncertainty index is time series data, which is the same for all firms, so the time-fixed effect cannot be included in the equation [18, 54].

4. Empirical process and test results

4.1 Baseline regression

The test findings for hypothesis 1 are presented in Table 2. OLS and fixed effect models are used. Columns (1) and (3) show the regression results without the explanatory variable EPU, while columns (2) and (4) add the explanatory variable EPU. In columns (2) and (4), the regression coefficients of EPU were 0.000988 and 0.002711, respectively, and both were significant at the 1% level. The coefficients of EPU are noticeably positive, indicating that corporate cash holdings increase proportionally to economic policy uncertainty, supporting hypothesis H1. Economic policy uncertainty is increasing, companies are investing less, and holding more cash is conducive to facing the risk of an unstable increase in future cash flow. From the regression coefficient of control variables, it can be seen that corporate scale, financial leverage, net working capital, capital expenditure and return on equity decrease with increasing cash holding level. The corporate cash holding level increases when firm liquidity, cash flow, and return on assets all increase.

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Table 2. Test results on the effect of economic policy uncertainty on cash holdings.

https://doi.org/10.1371/journal.pone.0293306.t002

4.2 Heterogeneity analysis

As a macro-level factor, EPU has different degrees of impact at different enterprise levels. Consequently, we analyze the heterogeneity in light of property rights nature and industry. In terms of the nature of property rights, we divide the companies into state-owned and non-state-owned types and select manufacturing, real estate and construction industries. As shown in Table 3, the coefficient of EPU of non-state-owned enterprises is 0.00190, which is significant at a 1% level. State-owned companies are more impacted by EPU than non-state-owned companies are, and the EPU coefficient is 0.00285, which is markedly positive at the 1% level. Managers of state-owned companies tend to avoid risks and are more sensitive to economic policies than non-state-owned companies.

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Table 3. Empirical results under property rights grouping.

https://doi.org/10.1371/journal.pone.0293306.t003

There are variations in the cash holding level by various industries, and there are different degrees of responses to economic policy changes. This paper selects manufacturing, construction and real estate industries to empirically analyze how cash holdings in various industries are affected by economic policy uncertainty. As shown in Table 4, the cash holdings of the manufacturing industry are positively affected by economic policy uncertainty, according to the EPU coefficient of 0.00231, which is significant at the 1% level. For real estate and construction EPU, the regression coefficients are -0.0020689 and -0.0019641, respectively. The level is below 1%, significant and negative.

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Table 4. Empirical results in different industries.

https://doi.org/10.1371/journal.pone.0293306.t004

4.3 Further analysis

This study adopts the "China’s Provincial Marketization Index Report (2021)" published by Wang Xiaolu et al., as a measure of marketization, which reflects the development of government and market, non-state-owned economy, market intermediary organizations, factor and product markets. According to the total index, the enterprises are divided into two groups by region: low and high marketization. Financing constraints are measured by the SA index, which can be divided into financing and non-financing constraints. As seen from Table 6, the regression coefficients of EPU for the financing and non-financing constraints groups are 0.00279 and -0.00219, respectively, and are significant at the 1% level. Table 5 indicates that enterprises facing financing constraints are more susceptible to economic policy uncertainties. Uncertainty will make enterprises face more fluctuations in cash flow, and the increase in future cash flow volatility will lead constrained enterprises to be more cautious and respond to future investment needs by increasing cash holdings [43]. In addition, enterprises with lower regional marketization indexes are more likely to experience the effects of economic policy uncertainty, as seen in Table 5 (the EPU coefficient is 0.00262, at a 1% significance level). The coefficient of marketization index high EPU is 0.00246 and significant at a 1% level. Enterprises in regions with lower marketization levels depend more on economic policies and are more susceptible to policy uncertainties.

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Table 5. Empirical results under financing constraints and marketization.

https://doi.org/10.1371/journal.pone.0293306.t005

4.4 Robustness test

This study examines the reliability of the results stated above by changing the definition of variables and measuring indicators.

4.4.1 Changing variable definitions

For robustness testing in this paper, are used to measure the level of cash holdings, and the conclusions drawn are shown in Table 6. The regression results under the least square method and fixed effect are the same. The regression coefficients for EPU are 0.000988 and 0.002711, respectively, and both are significant at the 1% level. Corporate cash holdings are strongly connected with economic policy uncertainty, consistent with the previous conclusions.

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Table 6. Empirical results after cash holding change.

https://doi.org/10.1371/journal.pone.0293306.t006

The previous empirical study obtained economic policy uncertainty by weighted average. The robustness test was conducted by arithmetic average below; the results are shown in Table 7. Where EPU1 represents the economic policy uncertainty calculated from the arithmetic average, and cash1 represents the level of cash holdings calculated using . EPU1’s regression coefficients for cash and cash1 using OLS are 0.001089 and 0.001089, respectively, and both are significant at the 1% level. EPU1’s regression coefficients for cash and cash1 using Fixed effect models are 0.002877 and 0.002879, respectively, and both are significant at the 1% level. It can be seen that when the definitions of EPU and cash are changed, the conclusions drawn by the two models are still the same as before, and the conclusion that economic policy uncertainty is positively correlated with corporate cash holdings is robust.

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Table 7. Empirical results after EPU replacement.

https://doi.org/10.1371/journal.pone.0293306.t007

4.4.2 Change the measurement standards of financing constraints.

In the heterogeneity analysis, the SA index was used to measure the financing restrictions, and the robustness test was conducted by univariate index in this paper. The regression coefficients for EPU are 0.00292 and -0.000736 as seen in Table 8, respectively, and both are significant at the 1% level. The empirical results under the size group are consistent with the previous ones, and small-scale enterprises, that is, companies with financing restrictions, are more susceptible to EPU.

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Table 8. Empirical results under firm size grouping.

https://doi.org/10.1371/journal.pone.0293306.t008

5. Conclusions

This study studies how economic policy uncertainty affects listed companies’ cash holdings, carries out heterogeneity analysis based on industry types and property rights nature, and further studies the effect of uncertain economic policies on cash holding by adding factors such as marketization level and financing constraints. To deal with the risk of the external policy surroundings’ uncertainty, companies will hold more cash. The variation in internal and external financing expenses will limit the enterprises’ financing ability, so financing constraints will follow, pushing enterprises to increase cash holdings. However, in regions with higher marketization levels, the institutional environment is more efficient, the allocation efficiency of resource factors is higher, and enterprises are not easily affected by policy uncertainty. This study examines and confirms the above hypothesis by relying on the quarterly financial information from Shanghai and Shenzhen A-share listed firms. Firstly, it studies how economic policy uncertainty affects listed corporations’ cash holding levels. Secondly, heterogeneity analysis is carried out to analyze the varying effects of economic policy uncertainties on corporate cash holdings in different circumstances. Finally, marketization level and financing constraints are introduced to carry out grouping demonstration. The empirical results show that: First, economic policy uncertainty can positively influence companies’ cash holding level. The higher the uncertainty, the more cash companies will hold to prevent the situation of illiquidity. Second, state-owned enterprises and manufacturing industries are particularly vulnerable to economic policy uncertainties. Third, enterprises with a lower level of regional marketization are particularly vulnerable to economic policy uncertainty. In addition, compared with no-finance-constrained companies, finance-constrained companies are more sensitive to economic policy uncertainty.

Recent decades have seen a progressive expansion of economic globalization as well as the effects of COVID-19 spreading. The economic situation has shown complex and changeable characteristics, resulting in uncertainty in implementing economic policies. This study makes several recommendations according to the aforementioned empirical findings. Firstly, the government should fully consider the economy’s stability before issuing policies, take the guarantee of people’s livelihood as the basic, and minimize the adverse impact of uncertainty on enterprises. Secondly, it is necessary to consider the differences in the situation of enterprises of different natures and provide policy support for non-state firms in the process of promoting marketization. Finally, given the financing constraints Chinese listed firms are currently experiencing, they should improve their capital structure, strengthen cash flow management, ensure the smooth flow of various financing channels, improve financing capacity, and enhance their competitiveness in the industry to cope with future uncertainties and risks. Notwithstanding, all kinds of financial institutions and government departments should strengthen capital market management and system construction, reduce the gap between internal and external financing costs of enterprises, improve the information asymmetry problem, and alleviate the problem of financing constraints.

Against the background of increasingly frequent and complex changes in the external economic environment, changes in China’s economic policies will likewise inevitably become more frequent. On the enterprise side, it helps enterprises to solve the liquidity problem, formulate reasonable cash holding strategies, help enterprises to cope with external risks, and reduce the losses brought by external uncertainty to prepare for the emergency. For the state, studying the impact of China’s economic policy changes on enterprise decision-making helps it to anticipate the possible impact of policy changes. Based on that, the state can create a favorable external environment for enterprises by maintaining the continuity and stability of policies.

6. Limitations

The research conducted in this paper still have many shortcomings. First of all, although the EPU index used in this paper has been widely used by many scholars, it is only constructed artificially by screening the keywords in the news reports. There may be measurement errors, missed economic policy uncertainty, and may also contain some irrelevant factors, which may affect the results of the study. Future studies can consider introducing more economic policy uncertainty measurement means. Once again, for the measurement of financing constraints, scholars at home and abroad have not yet formed a consistent conclusion. The index used in this paper may not be a good measure of the degree of financing constraints of enterprises; subsequent research needs to design and establish a more scientific and effective method of measuring financing constraints. Finally, for how economic policy uncertainty affects the cash holdings of enterprises, subsequent research can continue to dig deeper to explore more of these channels of influence, which may affect the study results. Moreover, regarding how economic policy uncertainty affects corporate cash holdings, subsequent research can continue to dig deeper and explore more channels of influence.

Supporting information

S1 File. Excel 1: Fig 1 data.

Cash holdings in 2010–2020. Excel 2: Fig 2 Data Economic Policy Uncertainty Index. Excel 3: These data were used to generate Tables 2–8.

https://doi.org/10.1371/journal.pone.0293306.s001

(RAR)

Acknowledgments

We would like to thank the review team for their constructive comments.

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