An Empirical Investigation of Real Exchange Rate Responses to Foreign Currency Inflows: Revisiting the Dutch Disease phenomenon in South Asia

Murshed, Muntasir and Rashid, Seemran (2020): An Empirical Investigation of Real Exchange Rate Responses to Foreign Currency Inflows: Revisiting the Dutch Disease phenomenon in South Asia. Forthcoming in: Economics (2020)

Abstract

Inflows of foreign currencies into the developing economies, in particular, have been associated with the Dutch disease phenomenon whereby a surge in such inflows is believed to stimulate real appreciation of the real exchange rate. As a result, there could be deindustrialization impacts on the recipient economies following a growth in the non-tradable sector at the expense of the tradable sector's contraction. This paper empirically investigates the dynamics of real exchange rate responses to official development assistance, foreign direct investments and international remittances flowing into the four emerging South Asian economies Bangladesh, India, Pakistan, and Sri Lanka. The results from the extensive econometric analyses show that a 1% rise in the total volume of official development assistance and remittances received appreciates the real exchange rate by 0.18% and 0.23% respectively. In contrast, a 1% rise in FDI inflows was found to trigger a 0.19% depreciation of the real exchange rate. Furthermore, the Dumitrescu and Hurlin (2012) test results reveal unidirectional long run causalities running from official development assistances and FDI inflow to real exchange rate while certifying a bidirectional causal association between inward international remittances and the real exchange rate.

• Item Type: MPRA Paper
• Language: English
• Keywords: Dutch disease; foreign exchange inflows; real exchange rate; foreign aid; remittance; foreign direct investment; causality
• Subjects: F - International Economics > F0 - General; F - International Economics > F1 - Trade; F - International Economics > F2 - International Factor Movements and International Business; F - International Economics > F3 - International Finance; F - International Economics > F3 - International Finance > F31 - Foreign Exchange; F - International Economics > F3 - International Finance > F35 - Foreign Aid; F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance; F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F41 - Open Economy Macroeconomics

References

Acosta, P. A., Lartey, E. K., & Mandelman, F. S. 2009. Remittances and the Dutch disease. Journal of International Economics, 79(1), 102-116. Addison, T., & Baliamoune-Lutz, M. 2017. Aid, the real exchange rate and why policy matters: The cases of Morocco and Tunisia. The Journal of Development Studies, 53(7), 1104-1121. Adenauer, I., & Vagassky, L. 1998). Aid and the real exchange rate: Dutch disease effects in African countries. Intereconomics, 33(4), 177-185. Aizenman, J., & Riera-Crichton, D. 2008. Real exchange rate and international reserves in an era of growing financial and trade integration. The Review of Economics and Statistics, 90(4), 812-815. Amin, S., & Murshed, M. 2017. Remittance, exchange rate and Dutch disease: The case of Bangladesh. International Review of Business Research Papers, 13(2). Amin, S., & Murshed, M. 2018a. A Cross-Country Investigation of Foreign Aid and Dutch Disease: Evidence from selected SAARC Countries. Journal of Accounting, Finance and Economics, 8(2), 40-58. Amin, S.B., & Murshed, M. 2018b. An Empirical Investigation of Foreign Aid and Dutch Disease in Bangladesh. The Journal of Developing Areas, 52(2), 169-182. Amuedo-Dorantes, C., & Pozo, S. 2004. Workers' remittances and the real exchange rate: a paradox of gifts. World development, 32(8), 1407-1417. Athukorala, P. C., & Rajapatirana, S. 2003. Capital inflows and the real exchange rate: a comparative study of Asia and Latin America. World Economy, 26(4), 613-637. Bagos, P. G., & Nikolopoulos, G. K. 2009. Generalized least squares for assessing trends in cumulative meta-analysis with applications in genetic epidemiology. Journal of clinical epidemiology, 62(10), 1037-1044. Bahmani-Oskooee, M. 1985. Devaluation and the J-curve: some evidence from LDCs. The review of Economics and Statistics, 500-504. Bahmani-Oskooee, M. M., & Goswami, G. G. 2003. A disaggregated approach to test the J-curve phenomenon: Japan versus her major trading partners. Journal of Economics and Finance, 27(1), 102-113. Balassa B. 1964. The Purchasing-Power Parity Doctrine: A Reappraisal. Journal of Political Economy, 72(6), 584-596. Baltagi, B. H., & Pesaran, H. M. 2007. Heterogeneity and cross section dependence in panel data models: theory and applications introduction. Journal of Applied Econometrics, 22(2), 229-232. Baltagi, B. H., Feng, Q., & Kao, C. 2012. A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model. Journal of Econometrics, 170(1), 164-177. Barder, O. M. 2006. A policymakers' guide to Dutch disease. Retrieved from: https://papers.ssrn.com/Sol3/papers.cfm?abstract_id=983124 Basak, G. K., & Das, S. 2018. Understanding Cross-sectional Dependence in Panel Data. arXiv preprint arXiv:1804.08326. Benjamin, N. C., Devarajan, S., & Weiner, R. J. 1989. The ‘Dutch’disease in a developing country: Oil reserves in Cameroon. Journal of Development Economics, 30(1), 71-92. Bini-Smaghi, L. 1991. Exchange Rate Variability and Trade: Why Is It So Difficult to Find any Empirical Relationship? Applied Economics, 23, 927-35. Bleaney, M. 2008. Openness and real exchange rate volatility: in search of an explanation. Open Economies Review, 19(2), 135-146. Borchert, I., & Yotov, Y. V. 2017. Distance, globalization, and international trade. Economics Letters, 153, 32-38. Bourdet, Y., & Falck, H. 2006. Emigrants' remittances and Dutch disease in Cape Verde. International Economic Journal, 20(3), 267-284. Boyd, D., Caporale, G. M., & Smith, R. 2001. Real exchange rate effects on the balance of trade: cointegration and the Marshall–Lerner condition. International Journal of Finance & Economics, 6(3), 187-200. Cashin, P., Céspedes, L. F., & Sahay, R. 2004. Commodity currencies and the real exchange rate. Journal of Development Economics, 75(1), 239-268. Chowdhury, M. B., & Rabbi, F. 2014. Workers' remittances and Dutch disease in Bangladesh. The Journal of International Trade & Economic Development, 23(4), 455-475. Corden, W. M. & Neary, J. P. 1982. Booming sector and de-industrialisation in a small open economy. Economic Journal 92, 825-848. Corden, W. M. 1984). Booming sector and Dutch disease economics: survey and consolidation. Oxford Economic Papers, 36(3), 359-380. De Gregorio, J., & Wolf, H. C. 1994. Terms of trade, productivity, and the real exchange rate No. w4807). National Bureau of Economic Research. Di Giorgio, G., Nisticò, S., & Traficante, G. 2018. Government spending and the exchange rate. International Review of Economics & Finance, 54, 55-73. Dumitrescu, E. I., & Hurlin, C. 2012. Testing for Granger non-causality in heterogeneous panels. Economic modelling, 29(4), 1450-1460. Égert, B., Drine, I., Lommatzsch, K., & Rault, C. 2003. The Balassa–Samuelson effect in Central and Eastern Europe: myth or reality?. Journal of Comparative Economics, 31(3), 552-572. Elbadawi, I. A., Kaltani, L., & Soto, R. 2012. Aid, real exchange rate misalignment, and economic growth in Sub-Saharan Africa. World Development, 40(4), 681-700. Engle, R. F., & Granger, C. W. 1987. Co-integration and error correction: representation, estimation, and testing. Econometrica: Journal of the Econometric Society, 55(2), 251-276. Feenstra, R.C. & Kendall. J.D. 1991. Exchange Rate Volatility and International Prices. Working Paper no. 3644. National Bureau of Economic Research, Cambridge, MA. Fielding, D. 2007). Aid and Dutch disease in the South Pacific(No. 2007/50). Research Paper, UNU-WIDER, United Nations University UNU). Retrieved from: https://www.econstor.eu/bitstream/10419/63380/1/546116108.pdf Fielding, D., & Gibson, F. 2012. Aid and Dutch Disease in Sub-Saharan Africa. Journal of African Economies, 22(1), 1-21. Fomby, T. B., Hill, R. C., & Johnson, S. R. 2012. Advanced econometric methods. Springer Science & Business Media. Granger, C.W.J. 1969. Investigating causal relations by econometric models and crossspectral methods. Econometrica 37(3), 424-438. Greene, W. H. 1993. Econometric analysis, 2000. Upper Saddle River NJ. Gylfason, T. 1984. Lessons from the Dutch disease: causes, treatment, and cures. Oxford Economic Papers, 36, 359-380. Hadri, K. 2000. Testing for stationarity in heterogeneous panel data. Econometrics Journal, 3, 148-161. Heckscher, E. F. 1919. The effect of foreign trade on the distribution of income. Ekonomisk Tidskriff, 497–512. Translated as chapter 13 in American Economic Association, Readings in the Theory of International Trade, Philadelphia: Blakiston, 1949, 272–300. Im, K.S., Pesaran, M.H. and Shin, Y. 2003. Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115, 53-74. Jaffri, A. A., & Ahmed, I. 2010. Impact of foreign direct investment FDI) inflows on equilibrium real exchange rate of Pakistan. South Asian Studies, 25(1), 125. Jawaid, S. T., & Raza, S. A. 2016. Effects of workers' remittances and its volatility on economic growth in South Asia. International Migration, 54(2), 50-68. Jayasinghe, S., & Sarker, R. 2008. Effects of regional trade agreements on trade in agrifood products: Evidence from gravity modeling using disaggregated data. Review of agricultural economics, 30(1), 61-81. Johansen, S. 1988). Statistical analysis of cointegration vectors. Journal of economic dynamics and control, 12(2-3), 231-254. Jongwanich, J., & Kohpaiboon, A. 2013. Capital flows and real exchange rates in emerging Asian countries. Journal of Asian Economics, 24, 138-146. Judge, G. G., Hill, R. C., Griffiths, W., Lutkepohl, H., & Lee, T. C. 1982. Introduction to the Theory and Practice of Econometrics. Kale, P. 2001. Turkey's trade balance in the short and the long run: error correction modeling and cointegration. The International Trade Journal, 15(1), 27-56. Kapferer, B. 2011. Legends of people, myths of state: violence, intolerance, and political culture in Sri Lanka and Australia. Berghahn Books. Kónya, I. 2006. Modeling cultural barriers in international trade. Review of International Economics, 14(3), 494-507. Koray, F. & Lastrapes, W.D. 1989. Real Exchange Rate Volatility and U.S. Bilateral Trade: A VAR Approach. Review of Economics and Statistics 71 November), 708-12. Kosteletou, N., & Liargovas, P. 2000. Foreign direct investment and real exchange rate interlinkages. Open economies review, 11(2), 135-148. Kwiatkowski, D. et al. 1992. Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54, 159-178. Lartey, E. K. 2008. Capital inflows, Dutch Disease effects, and monetary policy in a small open economy. Review of international economics, 16(5), 971-989. Lartey, E. K. 2011. Financial openness and the Dutch disease. Review of Development Economics, 15(3), 556-568. Lartey, E. K., Mandelman, F. S., & Acosta, P. A. 2012. Remittances, exchange rate regimes and the Dutch disease: a panel data analysis. Review of International Economics, 20(2), 377-395. Levin, A, Lin, C.F. and Chu, C.-S.J. 2002. Unit root tests in panel data: Asymptotic and finite sample properties. Journal of Econometrics, 108, 1-22. Maddala, G.S. and Wu, S. 1999. A comparative study of unit root tests with panel data and a simple new test. Oxford Bulletin of Economics and Statistics, 61, 631-652. Miyamoto, W., Nguyen, T. L., & Sheremirov, V. 2019. The effects of government spending on real exchange rates: Evidence from military spending panel data. Journal of International Economics, 116, 144-157. Murshed, M. 2018a. Does improvement in trade openness facilitate renewable energy transition? Evidence from selected South Asian economies. South Asia Economic Journal, 19(2), 151-170. https://doi.org/10.1177/1391561418794691 Murshed, M. 2018b. The Harberger-Laursen-Metzler Effect and Dutch Disease Problem: Evidence from South and Southeast Asia. Journal of Accounting, Finance and Economics, 8(1), 134-166. Murshed, M. 2019a. Are Trade Liberalization policies aligned with Renewable Energy Transition in low and middle income countries? An Instrumental Variable approach. Renewable Energy. https://doi.org/10.1016/j.renene.2019.11.106 Murshed, M. 2019b. An Empirical Investigation of Foreign Financial Assistance Inflows and Its Fungibility Analyses: Evidence from Bangladesh. Economies, 7(3), 95. https://doi.org/10.3390/economies7030095 Murshed, M., & Elahi, S. M. 2019. Problems of Bilateral Trade Deficit between Bangladesh and India: A 2SLS Regression Analysis. International Journal of Business, Economics and Management, 6(4), 215-231. https://doi.org10.18488/journal.62.2019.64.215.231 Murshed, M., Tul Jannat, F., & Amin, S. 2018. An Empirical Investigation of Globalization and Energy Consumption: Evidence from Bangladesh. World Journal of Social Sciences, 8(3), 54-68. Nyoni, T. S. 1998. Foreign aid and economic performance in Tanzania. World Development, 26(7), 1235-1240. Ohlin, B.G. 1933. Interregional and International trade, Harvard University Press. Parks, R.W. 1967. Efficient estimation of a system of regression equations when disturbances are both serially and contemporaneously correlated. Journal of the American Statistical Association 62(318), 500–509. Pedroni, P. 2004. Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20, 597-627. Pegg, S. 2010. Is there a Dutch disease in Botswana?. Resources Policy, 35(1), 14-19. Penati, A. 1987. Government spending and the real exchange rate. Journal of International Economics, 22(3-4), 237-256. Pesaran, M. H. 2015. Testing weak cross-sectional dependence in large panels. Econometric Reviews, 34(6-10), 1089-1117. Rajan, R. G., & Subramanian, A. 2011. Aid, Dutch disease, and manufacturing growth. Journal of Development Economics, 94(1), 106-118. Ramirez, M.D. 2006. A Panel Unit Root and Panel Cointegration Test of the Complementarity Hypothesis in the Mexican Case, 1960-2001. Yale University Economic Growth Center Discussion Paper No. 942. Reed, W. R., & Webb, R. S. 2011. Estimating standard errors for the Parks model: Can jackknifing help?. Economics: The Open-Access, Open-Assessment E-Journal, 5, 1-16. Ricci, M. L. A., Lee, M. J., & Milesi-Ferretti, M. G. M. 2008. Real exchange rates and fundamentals: A cross-country perspective No. 8-13). International Monetary Fund. SaangJoon, B. A. A. K. 2008. The bilateral real exchange rates and trade between China and the US. China Economic Review, 19(2), 117-127. Samuelson, P. A. 1964. Theoretical notes on trade problems. The review of economics and statistics, 145-154. Sinha, M., Tirtosuharto, D., & Sengupta, P. P. (2019). Impacts of FDI and Remittance Inflows in Developing Asia: A Comparative Dynamic Panel Study. Economic Papers: A journal of applied economics and policy, 38(4), 311-328. Staníčková, M., Vahalík, B., & Fojtíková, L. 2018. Globalization, International Trade and Competitiveness: What Links These Concepts? Challenge or Threat for Competitiveness of the World Economic Players–Especially EU, US and China? European Integration 2018, 1361. Terra, C., & Valladares, F. 2010. Real exchange rate misalignments. International Review of Economics & Finance, 19(1), 119-14 Torvik, R. 2001. Learning by doing and the Dutch disease. European economic review, 45(2), 285-306. Vanek, J. 1968. The Factor Proportions Theory: The N-Factor Case. Kyklos, October, 21, 749-755. Vos, R. 1998. Aid flows and “Dutch Disease” in a General Equilibrium framework for Pakistan. Journal of Policy Modeling, 20(1), 77-109. WDI. 2018. World Development Indicators. The World Bank. Yang, B., Asche, F., & Anderson, J. L. 2019. Determinants of China's Seafood Trade Patterns. Younger, S. D. 1992. Aid and the Dutch disease: macroeconomic management when everybody loves you. World Development, 20(11), 1587-1597.