Suchergebnisse

This article attempts to investigate the potential relationship and significance of various determinants of Total Factor Productivity (TFP) in India for the 1980–2016 time period. Specifically, this is achieved in two stages. In the first, the standard growth accounting approach is used to measure the changes in TFP. Then, the main model for establishing the determinants of TFP growth is estimated using the autoregressive distributed lag (ARDL) model. Our results suggest that inflation and financial development have a statistically positive impact on TFP. Foreign direct investment, imports, and capital formation are found to have a positive but insignificant impact on the TFP. On the other hand, exports, government size, and natural calamities have a statistically negative impact on TFP. Therefore, in order to accelerate the TFP, governments and policymakers need to design and implement policies to increase financial access to the private sector, while maintaining price stability; exports of high-value products; and increased economic integration in the global economy to benefit from foreign investment flows, which brings in new technology.JEL Classification: O4, O40, O47

Over the years, emerging economies have extensively followed a liberal trade regime and witnessed unprecedented economic growth. At the same time, global uncertainty has also reached to the pinnacle and has gripped almost every country within its ambit. Trade openness though seems to be channelising negative spillover effects of global uncertainty, yet continues to flourish. Therefore, the economic implications of uncertainty in presence of unprecedented trade openness remain a moot question which lays the basis of this study. Using autoregressive distributive lag (ARDL) approach, the empirical estimates suggest that macroeconomic effects of uncertainty are effectively mitigated by trade openness.JEL Codes: C22, F14, C22

AbstractOver the years, world market is integrating at much faster pace through increasing trade openness. Not being an unmixed blessing, consistent efforts have been made to examine impact of trade openness on economic, environmental and social welfare. This study is an attempt to empirically examine the implications of trade openness on sustainable development in India since liberalization policy 1991. We used the Autoregressive Distributed Lag (ARDL) model to test the relationship between sustainable development and trade openness along with other control variables that are supposed to affect sustainable development. The results established supports the opinion of environmentalists. The empirical results are contrary to the conventionally held belief, indicating that trade shares a negative correlation with green GDP growth and positive correlation with gap between conventional GDP and green GDP. These findings support the arguments that trade openness tend to be both distorting and detrimental to the future generations.