The Effect of Regulatory Quality on Foreign Direct Investment (FDI) Inflows in Asia Using Dynamic Panel Data Method: The Initial Stage Policy Response to Covid-19

Authors

  • Intan Maizura Abd Rashid School of Business Innovation & Technopreneurship, Universiti Malaysia Perlis Author
  • Wan Ahmad Fauzi Wan Husain School of Business Innovation & Technopreneurship, Universiti Malaysia Perlis Author
  • Irza Hanie Abu Samah School of Business Innovation & Technopreneurship, Universiti Malaysia Perlis Author
  • Sayang Nurshahrizleen Ramlan School of Business Innovation & Technopreneurship, Universiti Malaysia Perlis Author
  • Hariri Hamzah School of Electronic, Universiti Kuala Lumpur (UniKL), Malaysia Author

DOI:

https://doi.org/10.61841/3bjvvm72

Keywords:

COVID-19, FDI, Trade, Inflation Rate, Interest Rate, Unemployment Rate, Asia

Abstract

The shocking worldwide transmission of COVID-19 has encouraged many governments to interfere to avoid the spread of the infection. In Asia, government’ bodies that govern medical devices have taken steps to ease import restrictions and expedite registration processes for needed goods, seeking to ensure that regulations do not block the development or supply of devices that could save lives. A good regulatory quality reflects perceptions of the capability of the regulatory to frame and implement sound policies and regulations that permit and help all sector development. Following the spread of COVID-19 and increased financial volatility, the growth of FDI and trade outlook for the region in 2020 has been sharply downgraded. This research used dynamic panel data, also known as a longitudinal study, and observed data from January 2020 to March 2020 in 5 selected Asian countries involved with COVID-19. This study found the Dynamic Panel Data System GMM Estimation model is fitting to interpret the outcome, indicating the regulatory quality of Covid-19 (p-value=0.036), the inflation rate, and the unemployment rate have a significant relationship in panel analysis amounting to 1% significance, 2% significance, and 5% significance. In terms of limitations, this study just focuses on three months of data from selected Asian countries involved with Covid-19. Panel causality results suggest bidirectional linkages between inward FDI and regulatory quality. Empirical findings suggest that economic policy reforms are required to channelize regulatory quality of COVID-19 to more foreign capital inflows. The governments of Asian countries should pull out policies on FDI inflows and the environment in order to achieve sustainable economic growth and development. 

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References

[1] Adam P. Balcerzak, M. Ż. (2011). Foreign Direct Investment and Unemployment: VAR Analysis for Poland in the Years 1995-2009. Foreign Direct Investment and Unemployment: VAR Analysis for Poland in the Years 1995-2009.

[2] Aigner, D. J. (1984). Latent variable models in econometrics. Latent variable models in econometrics.

[3] Aizenman, J. (2005). FDI and TradeTwo-Way Linkages? FDI and TradeTwo-Way Linkages?

[4] Alfaro, L. (2003). Foreign Direct Investment and Growth: Does the Sector Matter? . Foreign Direct Investment and Growth: Does the Sector Matter? .

[5] Arellano, M. and Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and Application to Employment Equation. Some Tests of Specification for Panel Data: Monte Carlo Evidence and Application to Employment Equation.

[6] Biørn, E. (1992). Econometrics of panel data with measurement errors. Econometrics of panel data with measurement errors.

[7] Buckley, P. J. (2007). The Determinants of Chinese Outward Foreign Direct Investment. The Determinants of Chinese Outward Foreign Direct Investment.

[8] Campos, N. F. (2003). Why does FDI go where it goes? Why does FDI go where it goes?

[9] Carmen Reinhart. (2001). What hurts most: G-3 exchange rate or interest rate volatility? What hurts most: G-3 exchange rate or interest rate volatility?

[10] Hsiao, C. A. (1993). A general framework for panel data analysis — with an application to Canadian customer-dialed long-distance service. A general framework for panel data analysis — with an application to Canadian customer-dialed long-distance service.

[11] Li, M. (2006). Inflation and Economic Growth: Threshold Effects and Transmission Mechanisms. Inflation and Economic Growth: Threshold Effects and Transmission Mechanisms.

[12] licaiLv, S. W. (2010). Determinants and performance index of foreign direct investment in China's agriculture. Determinants and performance index of foreign direct investment in China's agriculture.

[13] Rashid, I. M. A., & Razak, N. A. A. (2016). Determinants of Foreign Direct Investment (FDI) in the Agriculture Sector Based on Selected High-Income Developing Economies in OIC Countries: An Empirical Study on the Provincial Panel Data by Using Stata, 2003-2012. Procedia Economics and Finance, 39, 328-334.

[14] Rashid, I. M. A., & Razak, N. A. A. (2017). Economic Determinants of Foreign Direct Investment (FDI) in the Agriculture Sector Based on Selected Developing OIC Countries: An Empirical Study on the Provincial Panel Data by Using Stata, 2003-2012. Jurnal Intelek, 12(1).

[15] Yavas, B. F., & Malladi, R. K. (2020). Foreign direct investment and financial market influences: Results from the United States. The North American Journal of Economics and Finance, 53, 10118

[16] Global Trade Alert (2020). Tackling Coronavirus: The Trade Policy Dimension. University of St. Gallen, 11 March 2020.

[17] UNCTAD (2020). “Impact of the Coronavirus Outbreak on Global FDI.” Investment Policy Monitor. March 2020.

[18] World Health Organization (WHO) (2020). “Shortage of personal protective equipment endangering health workers worldwide,” 3 March 2020.

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Published

31.07.2020

How to Cite

Maizura Abd Rashid, I., Ahmad Fauzi Wan Husain, W., Hanie Abu Samah, I., Nurshahrizleen Ramlan, S., & Hamzah, H. (2020). The Effect of Regulatory Quality on Foreign Direct Investment (FDI) Inflows in Asia Using Dynamic Panel Data Method: The Initial Stage Policy Response to Covid-19. International Journal of Psychosocial Rehabilitation, 24(5), 2554-2559. https://doi.org/10.61841/3bjvvm72