Skip to main content

Advertisement

Log in

The Impact of the Global Financial Crisis on Investment in Finland and South Korea

  • Report
  • Published:
Journal of Business Cycle Research Aims and scope Submit manuscript

Abstract

This paper examines the effects of the Global Financial Crisis (GFC) on investment activity in Finland and South Korea. We employed an Accelerator model to assess whether investment developments in both countries were excessively hit by the GFC. We then used structural vector auto regressions to identify the main drivers behind investment developments in both countries. First, we found that Finnish investment and output sharply declined following the crisis, while South Korea’s experience was considerably milder. The results show that the main drivers that initially depressed investment following the crisis were foreign demand and financial factors. In addition, negative domestic supply factors continued to depress investment in Finland in the years that followed, while negative foreign demand and financial factors continued to put downward pressure on investment in South Korea.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Source: IMF

Fig. 2
Fig. 3
Fig. 4
Fig. 5

Sources: IMF, BIS

Notes

  1. Note that while the Accelerator model is framed in terms of lags of changes in output, this does not imply that the model cannot account for forward-looking factors or expectations. For instance, an improvement in growth or income prospects may induce an acceleration in aggregate demand or output that in turn increases investment. The key assumption is that output reacts ahead of investment in response to these developments so that investment is driven by lags of changes in output. See e.g. the discussion in Kopp (2018).

  2. In the online appendix we also provide estimates using a Band-pass filter to estimate trends in output and obtain similar results.

  3. See also Clark (1917) and Jorgenson (1963). The particular implementation of the Accelerator model in this paper is largely based on Clark et al. (1979).

  4. Without loss of generality, we represent the model as a first-order vector-autoregression. See Sims (1980), Hamilton (1994), and Kilian and Lütkepohl (2017) for a detailed description of structural vector auto regressions.

  5. We used the BEAR toolbox (Dieppe et al. 2016) and run Bayesian VARs with normal-inverse Wishart priors for all the SVAR analyses.

  6. We employed the Arias et al. (2018) procedure that allows for both sign and zero restrictions. See also Canova and De Nicoló (2002) and Uhlig (2005).

  7. Parameter estimates are reported in the online appendix. The results from the specification with only four lags of changes in output seem to be more robust as many of the estimated parameters in the 12–lag specification are not statistically different from zero.

  8. We note that while it may be the case that investment was below trend in 2012–2016 in both countries, other factors such as the European sovereign debt crisis for Finland and political uncertainty for South Korea (e.g., North Korea nuclear issues and a presidential scandal) may have contributed to this. Given that investment was largely in line with trend in the intermediate years 2010–2012, we do not interpret lower investment in 2012–2016 as resulting solely from the GFC.

  9. In the online appendix, we provide additional results from the SVAR analysis such as the impulse responses from the identified shocks.

  10. Similarly, in an alternative SVAR, where we replace export growth with real effective exchange rates and lending spreads with credit growth (taken from the BIS) as well as including money market rates, we find that shocks associated with financial factors contributed the most to low investment for Finland, while foreign and financial shocks were the largest contributors for low investment in South Korea during the GFC. These results are reported in the online appendix.

  11. See also Lindblad et al. (2019).

  12. See e.g. past Bank of Finland assessments that cite several domestic factors contributing to low levels of investment since 2011, such as the contraction of the Information and Communication Technologies sector, weak domestic demand and growth prospects, excess capacity, uncertainty, and demographics (Bank of Finland 2015, 2017).

  13. As a small open economy, the business cycle in South Korea is strongly affected by international trade and foreign investment (Park 2000; Eichengreen 2004). In particular, the competitive edge of the Korean economy that faces challenges from abroad (e.g., emerging economies such as China and India) has eroded over the last decade.

References

  • Arias, J. E., Rubio-Ramirez, J. F., & Waggoner, D. F. (2018). Inference based on structural vector autoregressions identified with sign and zero restrictions: Theory and applications. Econometrica, 86(2), 685–720.

    Article  Google Scholar 

  • Banbura, M., Albani, M., Ambrocio, G., Bursian, D., Buss, G., de Winter, J., Gavura, M., Giordano, C., Julio, P., Le Roux, J., Lozej, M., & Martinez-Carrascal, C. (2018). Business investment in EU countries, Occasional Paper Series 215, European Central Bank.

  • Banerjee, R., Kearns, J., & Lombardi, M. (2015). (Why) Is investment weak?, BIS Quarterly Review.

  • Bank of Finland (2015). Finland’s economic situation remains difficult, Bank of Finland Bulletin 5/2015.

  • Bank of Finland (2017). Finland grows, and gathers more debt, Bank of Finland Bulletin 3/2017.

  • Bloom, N. (2009). The impact of uncertainty shocks. Econometrica, 77(3), 623–685.

    Article  Google Scholar 

  • Canova, F., & De Nicoló, G. D. (2002). Monetary disturbances matter for business fluctuations in the G-7. Journal of Monetary Economics, 49(6), 1131–1159.

    Article  Google Scholar 

  • Clark, J. M. (1917). Business acceleration and the law of demand: A technical factor in economic cycles. Journal of Political Economy, 25(3), 217–235.

    Article  Google Scholar 

  • Clark, P. K., Greenspan, A., Goldfeld, S. M., & Clark, P. (1979). Investment in the 1970s: Theory, Performance, and Prediction. Brookings Papers on Economic Activity, 1(1979), 73–124.

    Article  Google Scholar 

  • Crouzet, N., & Eberly, J. (2018). Intangibles, investment, and efficiency. In: AEA papers and proceedings, Vol. 108, pp. 426–31.

  • Dieppe, A., Legrand, R., & van Roye, B. (2016). The BEAR toolbox, working paper series 1934, European Central Bank.

  • Eichengreen, B. (2004). Monetary and exchange rate policy in Korea: Assessments and policy issues, CEPR Discussion Papers, 4676.

  • European Central Bank. (2016). Business investment developments in the euro area since the crisis, ECB Economic Bulletin, Issue 7.

  • European Investment Bank. (2013). Investment and investment finance in Europe, Economics Department, European Investment Bank.

  • European Investment Bank. (2017). EIBIS 2016/2017: Surveying Corporate Investment Activities, Needs and Financing at the EU, Economics Department, European Investment Bank.

  • Gaiotti, E. (2013). Credit availability and investment: Lessons from the great recession. European Economic Review, 59, 212–227.

    Article  Google Scholar 

  • Gutiérrez, G., & Philippon, T. (2017). Investmentless growth: An empirical investigation. In: Brookings Papers on Economic Activity, pp. 89–169.

  • Hamilton, J. D. (1994). Time series analysis. Princeton: Princeton University Press.

    Book  Google Scholar 

  • IMF (2015). Chapter 4: Private investment: What’s the holdup?, in World economic outlook, April, pp. 111–143, International Monetary Fund.

  • Jorgenson, D. (1963). Capital theory and investment behavior. American Economic Review, 53(2), 247–259.

    Google Scholar 

  • Kilian, L., & Lütkepohl, H. (2017). Structural vector autoregressive analysis. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Kopp, E. (2018). Determinants of U.S. Business Investment, IMF working paper WP/18/139.

  • Lindblad, A., Sariola, M., & Silvo, S. (2019). Investment weakened by uncertainty and the structure of the Finnish economy, Bank of Finland Bulletin 5/2019.

  • Love, I., & Zicchino, L. (2006). Financial development and dynamic investment behavior: Evidence from panel VAR. The Quarterly Review of Economics and Finance, 46(2), 190–210.

    Article  Google Scholar 

  • OECD (2015). Lifting investment for higher sustainable growth, OECD Economic Outlook, pp. 205–279.

  • Park, H. S. (2000). Trade and real business cycles in a small open economy: The case of Korea. Bank of Korea Economic Papers, 3(2), 135–163.

    Google Scholar 

  • Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48.

    Article  Google Scholar 

  • Uhlig, H. (2005). What are the effects of monetary policy on output? Results from an agnostic identification procedure. Journal of Monetary Economics, 52(2), 381–419.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tae-Seok Jang.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The authors thank the editor, three anonymous referees, and seminar participants at the 2019 Korean Economic Review international conference in Seoul. Tae-Seok Jang gratefully acknowledges the funding received from the Korea Institute of Public Finance. The views expressed in this paper are those of the authors and do not necessarily represent the views of the Bank of Finland.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ambrocio, G., Jang, TS. The Impact of the Global Financial Crisis on Investment in Finland and South Korea. J Bus Cycle Res 17, 321–337 (2021). https://doi.org/10.1007/s41549-021-00056-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41549-021-00056-4

Keywords

JEL Classification:

Navigation