Research on the Influence of Economic Policy Uncertainty on the Supply Chain Finance

Li Wang; Huimin Wang; Jian Wang

doi:10.1051/e3sconf/202021403004

All issues

Volume 214 (2020)

E3S Web Conf., 214 (2020) 03004

References

Open Access

Issue		E3S Web Conf. Volume 214, 2020 2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)


Article Number		03004
Number of page(s)		6
Section		Digital Development and Environmental Management of Energy Supply Chain
DOI		https://doi.org/10.1051/e3sconf/202021403004
Published online		07 December 2020

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[1] S.R. Baker, N. Bloom, S.J. Davis, “Measuring economic policy uncertainty, ” NBER Working Paper, No. 21633. [Google Scholar]

[2] D.H.B. Phan, S.S. Sharma, V.T. Tran, “Can economic policy uncertainty predict stock returns? Global evidence, ” Journal of International Financial Markets, Institutions & Money, Vol. 55, 2018, pp. 134-150. [Google Scholar]

[3] R. Bachmann, S. Elstner and E.R. Sims, “Uncertainty and economic activity: Evidence from business survey data, ” American Economic Journal: Macroeconomics, Vol. 5, 2013, pp. 217-249. [Google Scholar]

[4] W. Kang, K. Lee and R.A. Ratti, “Economic policy uncertainty and firm-level investment, ” MPRA paper, No51277, 2013, pp. 1-32. [Google Scholar]

[5] Z. Liu, J.M. Cruz, “Supply chain networks with corporate financial risks and trade credit under economic uncertainty, ” International journal of production economics, Vol. 137, 2010, pp. 55-67. [Google Scholar]

[6] L.C. Hendry, M. Stevenson, J. MacBryde, P. Ball, M. Sayed and L. Liu, “Local food supply chain resilience to constitutional change: the Brexit effect, ” International Journal of Operations & Production Management, Vol. 39, 2019, pp. 429-453. [Google Scholar]

[7] K. Nakamura, T. Yamada and K. Tan, “The impact of Brexit on designing a material-based global supply chain network for Asian manufacturers, ” Management of Environmental Quality, Vol. 30, 2019, pp. 980-1000. [Google Scholar]

[8] T.G. Zheng, Y.H. Shang, “Measurement and prediction of stock market volatility based on macro fundamentals, ” World Economy, Vol. 12, 2014, pp. 118-139. [Google Scholar]