I. Introduction

In this article, we seek to examine the impact of uncertainty about economic policy on corporate innovation activities, which has received limited attention. Our hypothesis is that the economic policy uncertainty (EPU) promotes corporate innovation in the Chinese capital markets. The proposed effect of EPU on corporate innovation is motivated by real options theory (Folta & O’Brien, 2004).

Our hypothesis test is important for the following reasons. In recent years, the uncertainty about economic policy is higher than ever before (Al-Thaqeb & Algharabali, 2019; Baker et al., 2016). There is increasing concerns about whether and how this uncertainty would influence firm-level decisions and behaviors (Shen et al., 2020). Moreover, China is undergoing a transition period, essentially from a planned economy to a market-based economy (J. Chen et al., 2017). During this period, there are economic policy challenges that contribute to higher uncertainty (Y. Wang et al., 2014). With higher uncertainty and expectations to maximise economic growth, one key issue is how to enhance China’s innovation ability. In order to promote innovation for sustained economic growth, the Chinese government has promulgated a series of policies (L. H. Fang et al., 2017).

Using Chinese data from the year 2007 to 2017, we show that EPU is positively related to innovation, implying that when firms face high uncertainty due to economic policy, firms have greater motivation to engage in innovative activities. Moreover, the empirical results document that firms with heterogeneous characteristics have different reactions to the EPU. Specially, the positive influence of policy uncertainty on innovation is more pronounced in state-owned firms, firms who have high-quality internal controls and firms with low managerial ownership.

This paper contributes to the literature in several important ways. First, our article is one of the few studies to empirically test the effect of EPU on corporate innovation. Our work is inspired by Bloom et al.'s (2007) call for more research on the relationship between uncertainty and innovation activities. F. He et al. (2020) provide evidence of the relationship between policy uncertainty and innovation. Our paper is different because we adopt the index developed by Baker et al. (2016), which has been widely used and can effectively capture real EPU. Moreover, our paper develops the hypothesis based on the real options theory and our results provide further support to the theory. Second, it is suggested in prior studies that firms with heterogeneous characteristics have different innovative abilities (Cheng et al., 2018; L. H. Fang et al., 2017). Our paper further explores whether firm-specific characteristics (the nature of ownership, internal control quality and managerial ownership) play a moderating role in the association between EPU and innovation activities. We, therefore, contribute to the literature on innovation and performance from a firm characteristic point of view.

II. Hypothesis Development

According to the real options theory, firms have a choice between waiting to obtain the deferred option or immediate investment to gain the growth option when facing uncertainty (Folta & O’Brien, 2004). Specifically, the option to defer argues that firms delay the investment under uncertainty to avoid the opportunity costs related to an irreversible investment and wait for a better investment opportunity (McDonald & Siegel, 1986). Alternatively, the option to growth obtains its value from early investment under uncertainty that provides the benefits of gaining future growth opportunities and competitive advantage (Kulatilaka & Perotti, 1998). Considering the opposite influence of these two options on investment under uncertainty, the effect of uncertainty on investment depends on which option brings greater value (Folta & O’Brien, 2004).

Furthermore, patents, as an output of innovation, are unduplicated and thus they give firms an exclusive right to discourage imitation. As a result, firms can obtain profits through patent transfer, which can partially offset the irreversibility of innovation investment (Bloom & Van Reenen, 2002). In this regard, patent application can be considered as a reversibility option (Atanassov et al., 2015). The level of investments’ irreversibility impacts the value of the option to defer. If the investments are completely reversible then the deferment option has no value. That is, higher reversibility is associated with lower valuable deferment options (Folta & O’Brien, 2004). Therefore, innovation with its reversibility weakens the value of the deferment option and eventually highlights the value of the growth option. In this case, uncertainty concerning economic policy leads to more innovation. Thus, we specify hypothesis 1 as follows:

H1: Ceteris paribus, EPU is positively associated with corporate innovation.

State-owned firms usually have better access to valuable resources and policy information due to their close relationship with government (V. Z. Chen et al., 2014). As a result, state-owned firms are better to capture the changes about external economic policy in a timely manner and are capable of fostering innovation activities when faced with increased uncertainty. In contrast, non-state-owned firms have a disadvantage in accessing resources and thus they may not have enough capability to tackle increased EPU. Moreover, non-state-owned firms are “self-reliant” and have greater motivation to pursue innovation activities to ensure their development (Freund, 2001). Therefore, non-state-owned firms may have lower sensitivity to EPU. Following this argument, we state hypothesis 2 as follows:

H2: Ceteris paribus, the positive effect of EPU on corporate innovation is more pronounced in state-owned firms.

Previous studies have pointed out that high quality internal control helps to improve financial information quality (Altamuro & Beatty, 2010), reduce the information asymmetry between investors and mangers (Dhaliwal et al., 2011), and eventually reduce financing costs (Costello & Wittenberg-Moerman, 2011). Thus, when facing uncertainty, strong internal control enables firms’ better access to financial capital and, thereby, helps firms better seize the opportunity to innovate. Thus, based on these arguments, this paper hypothesizes that:

H3: Ceteris paribus, the positive effect of EPU on innovation is more pronounced in firms with high-quality internal control.

The alignment of managerial ownership could reduce the agency problem and motivate managers to make more effort to sustain firms’ long-term development, which would encourage corporate innovation (Zahra et al., 2000). Based on the above discussions, we can see that firms with managerial ownership have more innovation, and therefore the innovation activity in these firms is less affected by the EPU. In other words, firms who have managerial ownership are less sensitivity to the impact of uncertainty on innovation. Following this argument, we propose hypothesis 4 as follows:

H4: Ceteris paribus, the positive effect of EPU on innovation is more pronounced in firms with low managerial ownership.

III. Research Method

In Hypothesis 1, we argue that EPU is positively associated with corporate innovation after controlling for other determinants. In order to test the hypothesis, we refer to the relevant studies (Juhro et al., 2020; Shen et al., 2020) and employ a model that incorporates the EPU, corporate innovation (PAT), firm-specific characteristics, and other potential factors, as follows:

PATi,t=α0+α1EPUi,t1+α2SIZEi,t1+α3ROEi,t1+α4LEVi,t1+α5OCFi,t1+α6GROWTHi,t1+α7LISTAGEi,t1+α8FIRSTi,t1+α9INDRi,t1+α10LNBOARDi,t1+α11INDi,t1+α12YEARi,t1+μi,t1(1)

In Model (1), PAT is the dependent variable. We use the number of patent applications to measure innovation (Amore et al., 2013). There are three types of patents in China; these are invention patent, utility model patent, and design patent. Following studies, such as J. J. He & Tian (2013) and V. W. Fang et al. (2014), we measure corporate innovation in three ways: the natural logarithm of (1+patents) (PAT1), the natural logarithm of (1+invention patents), referred to as PAT2, and the natural logarithm of (1+utility model patent + design patent), which we refer to as PAT3. The independent variable is EPU. The independent variables including control variables are all one-period lagged. According to Hypothesis 1, we expect the coefficient on EPU (α1) to be positive and statistically significant.

To empirically test Hypotheses 2-4, we employ the following model:

PATi,t=α0+α1EPUi,t1+α2EPUi,t1INTi,t1+α3SIZEi,t1+α4ROEi,t1+α5LEVi,t1+α6OCFi,t1+α7GROWTHi,t1+α8LISTAGEi,t1+α9FIRSTi,t1+α10INDRi,t1+α11LNBOARDi,t1+α12INDi,t1+α13YEARi,t1+μi,t1(2)

In Model (2), INT is the interactive variable, including STATE, IC and MASR, where STATE equals a value one if the ultimate controlling shareholder is a government agency or government controlled state-owned enterprises and 0 otherwise; IC stands for the index of internal control and risk from Dibo Enterprise Risk Management Technology Co., Ltd (DIB) database (F. Wang et al., 2018); and MASR is measured as the percentage of ownership held by top managers (Wu, 2008).

Table 1:EPU and corporate innovation
Variables (1) (2) (2)
PAT1 PAT2 PAT3
EPU 0.191***
(9.65)
0.165***
(8.56)
0.176***
(8.14)
Other control variables YES YES YES
YEAR and IND YES YES YES
Observations 14959 14959 14959
Adj R2 0.352 0.308 0.373

This table shows the regression results of the impact of EPU on corporate innovation. PAT1 is the first measure of corporate innovation, measured as the natural logarithm of (1+patents), PAT2 is the second measure of corporate innovation, measured as the natural logarithm of (1+invention patents), PAT3 is the third measure of corporate innovation, measured as the natural logarithm of (1+utility model patent + design patent) Significance levels at the 10%, 5%, and 1% are denoted by *, **, and ***, respectively. All reported t-statistics are based on standard errors adjusted for Huber-White (White, 1980).

Table 2:The moderating effect of nature of ownership, internal control and managerial ownership
Variables (1) (2) (3) (4) (5) (6) (7) (8) (9)
PAT1 PAT2 PAT3 PAT1 PAT2 PAT3 PAT1 PAT2 PAT3
EPU 0.146***
(6.53)
0.145***
(6.57)
0.148***
(5.87)
0.206***
(9.91)
0.175***
(8.74)
0.180***
(8.13)
0.173***
(8.38)
0.150***
(7.54)
0.180***
(7.60)
EPU×STATE 0.083***
(3.66)
0.056**
(2.32)
0.082***
(3.31)
STATE -0.190***
(-4.31)
-0.047
(-1.01)
-0.218***
(-4.48)
EPU×IC 0.019**
(2.15)
0.026***
(2.90)
0.015*
(1.66)
IC 0.011
(0.57)
0.002
(0.12)
0.001
(0.04)
EPU×MASR -0.468***
(-5.13)
-0.351***
(-3.58)
-0.527***
(-5.06)
MASR 1.236***
(6.65)
0.920***
(4.56)
1.228***
(5.62)
Other control variables YES YES YES YES YES YES YES YES YES
YEAR and IND YES YES YES YES YES YES YES YES YES
Observations 14959 14959 14959 14959 14959 14959 14959 14959 14959
Adj R2 0.353 0.308 0.340 0.293 0.278 0.373 0.293 0.277 0.233

This table shows regression results of the moderating effect of the nature of ownership, internal control and managerial ownership. PAT1 is the first measure of corporate innovation, measured as the natural logarithm of (1+patents), PAT2 is the second measure of corporate innovation, measured as the natural logarithm of (1+invention patents), PAT3 is the third measure of corporate innovation, measured as the natural logarithm of (1+utility model patent + design patent). The columns (1)–(3) show the results of the impact of the nature of ownership. The columns (4)–(6) show the results of the impact of internal control. The columns (7)–(9) show the results of the impact of managerial ownership. Significance levels at the 10%, 5%, and 1% are denoted by *, **, and ***, respectively. All reported t-statistics are based on standard errors adjusted by the Huber-White (White, 1980) procedure.

IV. Empirical Results

A. EPU and corporate innovation

Table 1 tabulates the multivariate regression results relating to Hypothesis 1 that EPU positively influences corporate innovation. We find that the coefficients on EPU are positive and highly significant (0.191 with t = 9.65 for PAT1; 0.165 with t = 8.56 for PAT2; and 0.176 with t = 8.14 for PAT3). These results imply that firms promote corporate innovation in the face of uncertainty concerning economic policy and thus Hypothesis 1 is supported. In addition, the coefficient estimate on EPU means that innovation is about 16.5% to 19.1% higher for firms when facing high uncertainty.

B. The moderating effect of the nature of ownership, internal control and managerial ownership

The Hypotheses 2-4 examine whether the nature of ownership, internal control and managerial ownership moderate the relationship between EPU and PAT. We find that coefficients on EPU×STATE, EPU×IC are significantly positive and coefficients on EPU×MASR are significantly negative. These results indicate that the positive influence of EPU on PAT is more pronounced in state-owned firms, firms with strong internal control and firms with low managerial ownership, supporting Hypotheses 2-4.

C. Robustness checks

We conduct a number of robustness tests. Specially, we change the measurement of EPU and innovation and repeat the main analyses and find that the results remain unchanged. In addition, the fixed effects model and two-stage least squares (2SLS) approaches that we employed to address potential endogeneity issue produce consistent results (Shen et al., 2020). All additional results are available upon request.

V. Conclusion

This paper empirically tests the effect of EPU on corporate innovation. The empirical results suggest that when facing uncertainty, firms would promote innovation. Moreover, firm-specific characteristics (the nature of ownership, internal control quality, and managerial ownership) have an impact on the manner in which EPU impacts innovation. In addition, the positive relation between uncertainty and innovation is more pronounced in highly competitive industries and with firms characterized by low financial constraint.

Acknowledgement

We thank the editors and reviewers for useful comments and suggestions on earlier versions of this paper. This paper is part of a research project funded by Beijing Social Science Fund, China (19GLC074 and 2018BJ0608) and the Fundamental Research Funds for the Central Universities, China (2020MS044).