Government Digital Governance and Corporate Supply Chain Risk: Empirical Evidence from the “Internet Plus Government Services” Pilot Program

Authors

  • Fan He Center for China Fiscal Development, Central University of Finance and Economics, Beijing, 100098, China
  • Qingqing Tan School of Accounting, Chongqing Technology and Business University, Chongqing, 400067, China
  • Xi Cao School of Accounting, Chongqing Technology and Business University, Chongqing, 400067, China

DOI:

https://doi.org/10.54097/z43mdn91

Keywords:

Government Digital Governance, Corporate Supply Chain Risk, Investment in Innovation, Level of Information Transparency, Difference-in-Differences

Abstract

Using a sample of Chinese A-share listed firms from 2012 to 2024, this study treats the “Internet Plus Government Services” pilot reform as a quasi-natural experiment and employs a difference-in-differences model to examine the effect of government digital governance on corporate supply chain risk. The results show that government digital governance significantly reduces corporate supply chain risk, and this finding remains robust after parallel trends tests, placebo tests, endogeneity analysis, and a series of robustness checks. The mechanism analysis suggests that government digital governance may reduce supply chain risk by promoting corporate innovation investment and improving information transparency. The heterogeneity analysis further shows that the risk-reducing effect is more evident among state-owned enterprises, non-high-tech firms, and firms with lower analyst attention. This study extends the literature on the microeconomic consequences of government digital governance and provides empirical evidence for advancing digital government development and strengthening corporate supply chain risk management.

Downloads

Download data is not yet available.

References

[1] Lee, H. L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4), 546–558. https://doi.org/10.1287/mnsc.43.4.546 DOI: https://doi.org/10.1287/mnsc.43.4.546

[2] Bray, R. L., & Mendelson, H. (2012). Information transmission and the bullwhip effect: An empirical investigation. Management Science, 58(5), 860–875. https://doi.org/10.1287/mnsc.1110.1451 DOI: https://doi.org/10.1287/mnsc.1110.1467

[3] Dunleavy, P., Margetts, H., Bastow, S., & Tinkler, J. (2006). New public management is dead—Long live digital-era governance. Journal of Public Administration Research and Theory, 16(3), 467–494. https://doi.org/10.1093/jopart/mui057 DOI: https://doi.org/10.1093/jopart/mui057

[4] Hao, X., Miao, E., Sun, Q., & Wang, H. (2024). The impact of digital government on corporate green innovation: Evidence from China. Technological Forecasting and Social Change, 206, 123570. https://doi.org/10.1016/j.techfore.2024.123570 DOI: https://doi.org/10.1016/j.techfore.2024.123570

[5] Zhao, J. (2025). The effect of data sharing on supply chain risks: A quasi-natural experiment from China’s public data open platforms. China Journal of Accounting Research, 18(4), 100444. https://doi.org/10.1016/j.cjar.2025.100444 DOI: https://doi.org/10.1016/j.cjar.2025.100444

[6] Ojha, D., Sahin, F., Shockley, J., & Sridharan, U. V. (2019). Is there a performance tradeoff in managing order fulfillment and the bullwhip effect in supply chains? The role of information sharing and information type. International Journal of Production Economics, 208, 529–543. https://doi.org/10.1016/j.ijpe.2018.12.012 DOI: https://doi.org/10.1016/j.ijpe.2018.12.021

[7] Babai, M. Z., Boylan, J. E., Syntetos, A. A., & Ali, M. M. (2016). Reduction of the value of information sharing as demand becomes strongly auto-correlated. International Journal of Production Economics, 181, 130–135. https://doi.org/10.1016/j.ijpe.2016.08.006 DOI: https://doi.org/10.1016/j.ijpe.2015.05.005

[8] Cordella, A., & Tempini, N. (2015). E-government and organizational change: Reappraising the role of ICT and bureaucracy in public service delivery. Government Information Quarterly, 32(3), 279–286. https://doi.org/10.1016/j.giq.2015.04.002 DOI: https://doi.org/10.1016/j.giq.2015.03.005

[9] Wu, S., Zhu, Z., Wang, X., & Zhang, L. (2026). Government digital governance and corporate R&D investment: Empirical evidence from China. Economic Analysis and Policy, 93, 1598–1618. https://doi.org/10.1016/j.eap.2026.01.018 DOI: https://doi.org/10.1016/j.eap.2026.08.049

[10] Parast, M. M. (2020). The impact of R&D investment on mitigating supply chain disruptions: Empirical evidence from U.S. firms. International Journal of Production Economics, 227, 107671. https://doi.org/10.1016/j.ijpe.2020.107671 DOI: https://doi.org/10.1016/j.ijpe.2020.107671

[11] Zhang, C., & Jiao, W. (2026). Digital government development, information disclosure quality, and economic effects. Finance Research Letters, 95, 109747. https://doi.org/10.1016/j.frl.2026.109747 DOI: https://doi.org/10.1016/j.frl.2026.109747

[12] Fan, H., Li, G., Sun, H., & Cheng, T. C. E. (2017). An information processing perspective on supply chain risk management: Antecedents, mechanism, and consequences. International Journal of Production Economics, 185, 63–75. https://doi.org/10.1016/j.ijpe.2016.12.014 DOI: https://doi.org/10.1016/j.ijpe.2016.11.015

[13] Li, G., Fan, H., Lee, P. K. C., & Cheng, T. C. E. (2015). Joint supply chain risk management: An agency and collaboration perspective. International Journal of Production Economics, 164, 83–94. https://doi.org/10.1016/j.ijpe.2015.02.006 DOI: https://doi.org/10.1016/j.ijpe.2015.02.021

[14] Yang, Z. Q., Tang, S., & Li, Z. Q. (2020). Capital market information disclosure, relational contracts and the supply-demand bullwhip effect—Empirical evidence based on supply chain information spillovers. Management World, 36(7), 89–105, 217–218. (in Chinese)

[15] Shen, Z. X., Zhu, S. J., Wen, Q., & Liu, Y. (2025). Empowering an effective market through an effective government: Government digital governance and corporate investment efficiency. The Journal of World Economy, 48(2), 166–195. (in Chinese)

[16] Hutton, A. P., Marcus, A. J., & Tehranian, H. (2009). Opaque financial reports, R², and crash risk. Journal of Financial Economics, 94(1), 67–86. https://doi.org/10.1016/j.jfineco.2008.10.003 DOI: https://doi.org/10.1016/j.jfineco.2008.10.003

[17] Pan, Y., Dai, Y. Y., & Lin, C. Q. (2011). Information opacity, analyst coverage and stock price crash risk. Journal of Financial Research, (9), 138–151. (in Chinese)

Downloads

Published

13-10-2026

Issue

Section

Articles