Can the Post-COVID FDI Boost the Indian Economy?

Ever since the liberation of trade policies in India, Foreign Direct Investments (FDI) has been crucial in the growth of the economy, both at the macro as well as sector level. The association between FDI and economic growth is an area of interest globally. The investment decisions are affected by several national and international events that add to the volatility of the number of inflows. COVID-19 pandemic severely impacted the intensity of FDI inflows. But the strong resilience by our government manifested in crucial policy reforms and proactive decision-making minimized the impact. This article examines the potential impact of FDI on crucial macroeconomic variables using the Computable General Equilibrium (CGE) Model. Introducing the policy shock of $90 billion into the model, an increase of 5.68% per annum in GDP is estimated. Findings indicate that the impact of FDI shall be favourable to a large number of sectors mainly metals, construction, motor vehicle, computers, and electronics in terms of increased output, exports, and employment opportunities. The study offers logical implications for the policymakers to continue strengthening their moves to attract FDI.

Internationalization in Times of Uncertainty

This chapter aims to explore the uncertainties that the COVID-19 pandemic induced in internationalization. In this regard, the COVID-19 pandemic challenges companies worldwide as global value chains were interrupted and business models were contested. The theoretical background describes the internationalization processes and the specific role of foreign direct investments (FDI), but also the basics of uncertainty in doing business. Because of the scope of internationalization and the peculiarities of the COVID-19 pandemic, a descriptive analysis of secondary data from global databases was conducted. This includes macroeconomic data and also global research reports. With a focus on European-Asian relations, the results reveal an interruption in the flows of goods and services in Eurasia, but more importantly, also in FDI. Further on, there is a correlation between uncertainty and FDI flows. Finally, this chapter discusses future directions in internationalization, including resilience, regionalization, and the rise of China in global economics.

Economic Growth at the Expense of Environmental Degradation: Evidence from the Philippines

This study presents an empirical analysis of the impacts of three macroeconomic variables namely, Gross Domestic Product, Foreign Direct Investment, and Urban Population on the emissions of CO2 in the Philippines from the period of 1970 to 2018. The results reveal that Gross Domestic Product and Foreign Direct Investments exhibit a statistically significant relationship with CO2 emissions. The findings of this study suggest that the Philippines’ reliance on high-polluting industries as drivers of economic growth will only worsen its environmental quality. Moreover, its weak environmental laws provide foreign investors the opportunity to exploit the environment in exchange for FDI inflows to the country. Furthermore, the results of this study support the scale effect in the Environmental Kuznets Curve hypothesis, as well as the Pollution Haven Hypothesis.

Long-run asymmetric association between FDI and productivity in Turkey

Incoming foreign direct investments (FDI) may enhance the productivity level of the host country by bringing new advanced technologies. On the other hand, the nexus of FDI and productivity, rather than being linear, might be nonlinear because the effect of increases and decreases in FDI on productivity may not be symmetric. In this sense, this study investigates the asymmetric relationship between FDI and productivity in Turkey by using two different productivity indicators (i.e., PROD1 and PROD2) and employing a Nonlinear ARDL approach. Our hypothesis claims there is an asymmetric association between FDI and productivity in the long run in Turkey. Nonlinear cointegration test findings indicate that selected variables are cointegrated. Hence, they move together in the long run. Our study uses aggregated data at the macro level to analyze the long-term asymmetric relationship between foreign direct investment and labor productivity in Turkey using the NARDL estimation technique. Concerning the estimation results, a long-run nonlinear relationship between incoming FDI and labor productivity was detected, and this finding remained valid across two models constructed by using two distinct labor productivity indicators. As a whole, our results are consistent with the ones found in the literature. Besides, for the first time in the literature, this study addresses the long-run asymmetric nexus between FDI and labor productivity by using macro-level data specific to Turkey and makes various policy recommendations.