Tạp chí đã xuất bản
2004
ISSN
ISSN 2615-9813
ISSN (số cũ) 1859-3682

SỐ 209 | Tháng 8/2023

Ảnh hưởng tương tác giữa độ mở thương mại và bất định tỷ giá hối đoái đến đầu tư trực tiếp nước ngoài

Lê Thông Tiến

Tóm tắt:

Bài nghiên cứu sử dụng mô hình dữ liệu bảng, bao gồm 99 quốc gia để nghiên cứu về ảnh hưởng tương tác của độ mở thương mại (ĐMTM) và bất định tỷ giá hối đoái đến đầu tư trực tiếp nước ngoài (FDI) trong giai đoạn 2008–2020. Kết quả nghiên cứu dựa trên việc phân loại các quốc gia theo thu nhập. Để đảm bảo tính vững cho các suy diễn thống kê, bài nghiên cứu sử dụng đồng thời mô hình hiệu ứng ngẫu nhiên (REM), mô hình hiệu ứng cố định (FEM) và mô hình bình phương bé nhất tổng quát (GLS). Kết quả nghiên cứu cho rằng, ảnh hưởng tương tác làm gia tăng tác động ngược chiều của bất định tỷ giá hối đoái; đồng thời làm suy yếu tác động cùng chiều của ĐMTM ở nhóm các quốc gia có thu nhập trung bình thấp. Ở cả nhóm quốc gia có thu nhập trung bình cao và nhóm các quốc gia có thu nhập cao, ảnh hưởng tương tác lại có tác động tích cực của ĐMTM đối với FDI. Hơn nữa, ảnh hưởng ngược chiều của bất định tỷ giá hối đoái ở nhóm quốc gia có thu nhập cao có thể bị triệt tiêu và đảo chiều nếu quốc gia tiếp tục duy trì ĐMTM ở mức cao.

Tài liệu tham khảo:

  1. Alfaro, l., chanda a., ozcan s. K., & sayek s. (2004). Fdi and economic growth: the role of local financial markets. Journal of international economics, 64(1), 89–112. Https://doi.org/10.1016/s0022-1996(03)00081-3.
  2. Azad, a. K., rasul, m. G., khan, m. M. K., anis o., bhuiya, m. M. K., & hazrat m. A. (2014). Modelling of renewable energy economy in australia. Energy procedia, 61, 1902–1906. Https://doi.org/10.1016/j.egypro.2014.12.238 .
  3. Bollerslev, t. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of econometrics, 31(3), 307–327. Https://doi.org/10.1016/0304-4076(86)90063-1.
  4. Breitung, j. (2000). The local power of some unit root tests for panel data. Advances in econometrics, volume 15: nonstationary panels, panel cointegration, and dynamic panels, ed. B. H. Baltagi, amsterdam: jay press, 161–178. Https://doi.org/10.1016/s0731-9053(00)15006-6.
  5. Chen, z. (2022). The impact of trade and financial expansion on volatility of real exchange rate. Plos one, 17(1): e0262230. Https://doi.org/10.1371/journal.pone.0262230.
  6. Darvas, z. (2021). Timely measurement of real effective exchange rates. Working paper, 15, bruegel. Http://aei.pitt.edu/id/eprint/103769.
  7. Deseatnicov, i., & akiba, h., (2016). Exchange rate, political environment and fdi decision. International economics, 148, 16–30. Https://doi.org/10.1016/j.inteco.2016.05.002.
  8. Dhakal, d., nag, r., pradhan. G., & upadhyaya. K. P. (2010). Exchange rate volatility and foreign direct investment: evidence from east asian countries. International business and economics research journal, 9(7), 121–128. Https://doi.org/10.19030/iber.v9i7.603.
  9. Enu, p., havi, e. D. K., & obeng, p. A. (2014). Impact of macroeconomic factors on foreign direct investment in ghana: a cointegration analysis. European scientific journal, 9(28), 331–348. Https://doi.org/10.19044/esj.2013.v9n28p%25p.
  10. Ergun, s. J., phebe a. O., & maria f. R. (2019). Determinants of renewable energy consumption in africa. Environmental science and pollution research, 26, 15390–15405. Https://doi.org/10.1007/s11356-019-04567-7.
  11. Friedman, m. (1953). The methodology of positive economics, essays in positive economics. University of chicago press, chicago.
  12. Fujii, e. (2019). What does trade openness measure? Oxford bulletin of economics and statistics, 81(4), 868–888. Https://doi.org/10.1111/obes.12275.
  13. Furceri, d., & borelli, s. (2008). Foreign direct investments and exchange rate volatility in the emu neighbourhood countries. Journal of international and global economic studies, 1(1), 42–59. Https://ssrn.com/abstract=1215200.
  14. Haque, m. A., zhang, b., & muhammad, u. A. (2022). Sources of financial development and their impact on fdi inflow: a panel data analysis of middle-income economies. Economies, 10, 182. Available from: https://doi.org/10.3390/economies10080182.
  15. Harris, r. D. F., & tzavalis, e. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of econometrics, 91, 201–226. Https://doi.org/10.1016/s0304-4076(98)00076-1.
  16. Harrison, a. (1996). Openness and growth: a time-series, cross-country analysis for developing countries. Journal of development economics, 48, 419–447. Https://doi.org/10.1016/0304-3878(95)00042-9.
  17. Havi, e. D. K. (2021). The impact of exchange rate volatility on foreign direct investment inflows in ghana. African journal of economic review, 9(4), 183–199. Https://doi.org/10.22004/ag.econ.315820.
  18. Ignatius, a. E., ogbonna, a. A., & anne, c. M. (2019). Exchange rate volatility and foreign direct investment: the nigerian experience. Journal of business and economic policy, 6(4), 78–87. Https://doi.org/10.30845/jbep.v6n4p10.
  19. Ilhan, o. (2006). Exchange rate volatility and trade: a literature survey. International journal of applied econometrics and quantitative studies, 3(1), 85–102. Https://ssrn.com/abstract=1127299.
  20. Jamal, a., & bhat, g. M. (2022). Disentangling the nexus between exchange rate volatility, exports, and fdi: empirical evidence from the indian economy. Global journal of emerging market economies. Available from: [06 november 2022].
  21. Jeanneret, a. (2007). Foreign direct investment and exchange rate volatility: a nonlinear story. Working paper no. 399, institut für schweizerisches bankwesen, universität zürich. Https://www.econbiz.de/10005858054.
  22. Leamer, e. E. (1988). Measures of openness, in r. Baldwin, ed., trade policy issues and empirical analysis, national bureau of economic research conference report series, chicago: university of chicago press, 147–200. Http://www.nber.org/chapters/c5850.
  23. Levin, a., lin, c.-f., & chu, c.-s. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of econometrics, 108, 1–24. Https://doi.org/10.1016/s0304-4076(01)00098-7.
  24. Maryam, j., & mittal, a. (2020). Foreign direct investment into brics: an empirical analysis. Transnational corporations review, 12, 1–9. Https://doi.org/10.1080/19186444.2019.1709400.
  25. Moraghen, w., seetanah, b., & sookia, n. (2021). Impact of exchange rate and exchange rate volatility on foreign direct investment inflow for mauritius: a dynamic time series approach. African development review, 33(4), 581–591. Https://doi.org/10.1111/1467-8268.12596.
  26. Oecd (2008). Benchmark definition of foreign direct investment, 4thedn, oecd publishing, paris, france.
  27. Pradhan, r. P., arvin, m. B., hall, j. H., & nair, m. (2017). Trade openness, foreign direct investment, and finance-growth nexus in the eurozone countries. Journal of international trade & economic development, 26(3), 1–25. Https://doi.org/10.1080/09638199.2016.1249392.
  28. Rhadbane, a. B. E., & moudden, a. E. (2022). Covid-19 pandemic, real effective exchange rate and foreign direct investment inflows: evidence from morocco, turkey and egypt. International journal of applied economics, finance and accounting, 12(2), 38–51. Https://doi.org/10.33094/ijaefa.v12i2.543.
  29. Rose, a. K. (2000). One money, one market: estimating the effect of common currencies on trade. Economic policy, 15(30), 08–45. Https://doi.org/10.1111/1468-0327.00056.
  30. Shetty, a., manley, j., & kyaw, n. (2019). The impact of exchange rate movements on mergers and acquisitions fdi. Journal of multinational financial management, 52-53, 100594. Available from: https://doi.org/10.1016/j.mulfin.2019.100594.
  31. Swenson, d. L. (2004). Foreign direct investment and mediation of trade flows. Review of international economics, 12(4), 609–629. Https://doi.org/10.1111/j.1467-9396.2004.00470.x
  32. Taşdemir, f. (2020). Endogenous thresholds for the determinants of fdi inflows: evidence from the mena countries. International journal of emerging markets, 17, 683–704. Https://doi.org/10.1108/ijoem-07-2019-0509.
  33. Tien, l. T., duc, n. C., & kieu, v. T. T. (2022). The effect of exchange rate volatility on fdi inflows: a bayesian random-effect panel data model. In: ngoc thach, n., kreinovich, v., ha, d.t., trung, n.d. (eds) financial econometrics: bayesian analysis, quantum uncertainty, and related topics. Econvn 2022. Studies in systems, decision and control, vol 427. Springer, cham. Https://doi.org/10.1007/978-3-030-98689-6_32.
  34. World bank (2022). New world bank country classifications by income level: 2022-2023. World bank, washington, dc, usa. Http://databank.worldbank.org/data/download/site-content/class.xlsx.


Interactive Effects Between Trade Openness and Exchange Rate Volatility on Foreign Direct Investment

Abstract:

The study employed a panel data model covering 99 countries to study the interactive effects of trade openness and exchange rate volatility on FDI over the period from 2008 to 2020. The countries in the observed sample were categorized by income. For checking the robustness of the statistical inferences, the random effects model (REM), the fixed effects model (FEM) and the general least squares model (GLS) were synchronously utilized. The results of the study found statistical evidence that the interaction effect increased the negative impact of exchange rate volatility and weakened the positive effect of trade openness in lower middle-income countries. In both the upper middle-income countries and the high-income countries, the interaction effect increased the positive effect of trade openness on FDI. Moreover, the negative effect of exchange rate volatility in high-income countries also showed that it could be eliminated and reversed if the countries continue to maintain a high level of trade openness.