Does Economic Policy Uncertainty Improve Firm’s Productivity?
Chen Yufeng1,2, Ma Lihua1, Hui Xiaoxiong1
1.School of Economics, Zhejiang Gongshang University, Hangzhou 310018, China 2.College of Economics and Management, Zhejiang Normal University, Jinhua 321004, China
Abstract Economic policy uncertainty, as one of the important sources of external risks for enterprises, inevitably has an impact on enterprises behavior. The volatile external policy environment makes it challenging for entrepreneurs to form stable expectations of the macroeconomy, and they can only adapt to the environment by adjusting enterprise’s productivity. Therefore, it is essential to explore the impact of economic policy uncertainty on China’s enterprise total factor productivity. To more accurately reflect the relationship between economic policy uncertainty and firm productivity, this paper constructs a provincial-level economic policy uncertainty index, which differs from the existing literature that uses either the China economic policy uncertainty index constructed by Baker et al. or the national-level economic policy uncertainty index synthesized from provincial party newspaper data by Wang et al. This paper adopts the LP method to measure the productivity of each enterprise and innovatively constructs corresponding theoretical and empirical models to examine the changing relationship between provincial-level economic policy uncertainty and firm productivity from both theoretical and empirical perspectives, which expands the research scope of micro-enterprise behavior under economic policy uncertainty. The research findings indicate that after adding control variables and controlling fixed effect, economic policy uncertainty significantly increases firm productivity. Furthermore, when distinguishing between high and low economic policy uncertainties and different regions, it is found that economic policy uncertainty promotes enterprise productivity more significantly under low economic policy uncertainty. The impact of enterprise productivity in the mid-west regions of China is positive, while that in the eastern regions is negative. The productivity gap between the mid-west and the eastern regions is gradually narrowing, and there is an obvious catching-up effect in the mid-west regions. It is worth noting that, after using the realized volatility method to distinguish between good economic policy uncertainty and bad economic policy uncertainty, it is obvious that the improvement of enterprise productivity in the mid-west regions is the result of the combined effects, and the good economic policy uncertainty caused by favorable policies is the key factor for the productivity improvement of enterprises in the mid-west regions. Further analysis shows that the supply-side structural reform has promoted the improvement of enterprise productivity. Moreover, the mediation effect model reveals that enterprise investment efficiency and R&D expenditure are crucial in driving changes in enterprise productivity. Finally, the robustness of the regression results is tested by using the OP and ACF methods to measure enterprise productivity, treating the endogenous problem. Overall, the improvement of enterprise productivity relies on continuous technological innovation and high investment efficiency. The government should strengthen favorable policies, especially those that encourage technological innovation, and strive to create a good business environment. Additionally, institutional mechanisms should be established to promote the improvement of enterprise investment efficiency.
1 The World Bank， “Global economic prospects，” 2023-06-06， https：//openknowledge.worldbank.org/server/api/core/bitstreams/6e892b75-2594-4901-a036-46d0dec1e753/content， 2023-07-01. 2 AmChan China， “2023 China business climate survey report，” 2023-03-01， https：//www.amchamchina.org/2023-china-business-climate-survey-report/，2023-07-01. 3 Baker S. R.， Bloom N. & Davis S. J.， “Measuring economic policy uncertainty，” The Quarterly Journal of Economics， Vol. 131， No. 4 （2016）， pp. 1593-1636. 4 王丽纳、李敬、李玉山： 《经济政策不确定性与制造业全要素生产率提升——基于中国各省级党报数据的分析》，《财政研究》2020年第9期，第65-79页。 5 Yu J.， Shi X. & Guo D. et al.， “Economic policy uncertainty （EPU） and firm carbon emissions： evidence using a China provincial EPU index，” Energy Economics， Vol. 94 （2021）， https：//doi.org/10.1016/j.eneco.2020.105071. 6 Fernández-Villaverde J.， Guerrón-Quintana P. & Kuester K. et al.， “Fiscal volatility shocks and economic activity，” American Economic Review， Vol. 105， No. 11 （2015）， pp. 3352-3384. 7 饶品贵、徐子慧： 《经济政策不确定性影响了企业高管变更吗？》，《管理世界》2017年第1期，第145-157页。 8 倪国爱、董小红： 《经济政策不确定性、会计稳健性与债务融资》，《财贸研究》2019年第6期，第99-110页。 9 Bloom N.， “Uncertainty and the dynamics of R&D，” American Economic Review， Vol. 97， No. 2 （2007）， pp. 250-255. 10 Bloom N.， Floetotto M. & Jaimovich N. et al.， “Really uncertain business cycles，” Econometrica， Vol. 86， No. 3 （2018）， pp. 1031-1065. 11 Choi S.， Furceri D. & Huang Y. et al.， “Aggregate uncertainty and sectoral productivity growth： the role of credit constraints，” Journal of International Money and Finance， Vol. 88， No. 11 （2018）， pp. 314-330. 12 段梅、李志强： 《经济政策不确定性、融资约束与全要素生产率——来自中国上市公司的经验证据》，《当代财经》2019年第6期，第3-12页。 13 高越、陈胜发： 《经济政策不确定性与出口企业全要素生产率提升》，《华东经济管理》2022年第4期，第31-44页。 14 Oikawa K.， “Uncertainty-driven growth，” Journal of Economic Dynamics and Control， Vol. 34， No. 5 （2010）， pp. 897-912. 15 孟庆斌、师倩： 《宏观经济政策不确定性对企业研发的影响：理论与经验研究》，《世界经济》2017年第9期，第75-98页。 16 Merton R. C.， “On the pricing of corporate debt： the risk structure of interest rates，” The Journal of Finance， Vol. 29， No. 2 （1974）， pp. 449-470. 17 顾夏铭、陈勇民、潘士远： 《经济政策不确定性与创新——基于我国上市公司的实证分析》，《经济研究》2018年第2期，第109-123页。 18 李兵、林安琪、郭冬梅： 《经济政策不确定性对进口产品的异质性影响——基于中文报纸大数据文本的实证分析》，《系统工程理论与实践》2020年第6期，第1578-1595页。 19 Levinsohn J. & Petrin A.， “Estimating production functions using inputs to control for unobservables，” The Review of Economic Studies， Vol. 70， No. 2 （2003）， pp. 317-341. 20 饶品贵、岳衡、姜国华： 《经济政策不确定性与企业投资行为研究》，《世界经济》2017年第2期，第27-51页。 21 彭俞超、韩珣、李建军： 《经济政策不确定性与企业金融化》，《中国工业经济》2018年第1期，第137-155页。 22 陈宇峰： 《能源冲击与经济传递：理论及中国经验》，北京：商务印书馆，2021年。 23 Segal G.， Shaliastovich I. & Yaron A.， “Good and bad uncertainty： macroeconomic and financial market implications，” Journal of Financial Economics， Vol. 117， No. 2 （2015）， pp. 369-397.
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