This study aims to investigate the relation between globalisation, which includes foreign direct investment (FDI), exports, imports, foreign remittances and economic growth in India. To achieve the said objective, Autoregressive Distributed Lag bounds testing approach has been utilised. The study indicates that imports and FDI positively affect economic growth in India. On the other hand, exports and foreign remittances have negative and significant relationship with economic growth. This suggests that exports and foreign remittances take more time to spillover positive impact on economic performance of India. The findings suggest that FDI should be encouraged to promote exports, export-led growth and joint ventures with foreign investors in the country. JEL Codes: F30, F10, F10, F24, C22

The present study aims to examine the nexus between geopolitical risk and foreign tourist arrivals in India. In addition, other variables which impact tourist arrival in other parts of the world have also been included. To achieve the objectives of the study, the auto-regressive distributed lag (ARDL) model propounded by Pesaran et al. has been applied using quarterly data from 2001: Q1 to 2019: Q4. The findings of the study reveal that geopolitical risk negatively affects foreign tourist arrival in India. Besides, the study also captures the income and price determinants as propounded by classical economists. JEL Codes: C500; P0; Z30

India and Iran have a long history of cooperation on various issues ranging from economic to strategic importance. However, the present phase of cooperation is as old as end of the cold war and reached a peak during the period 2001–2003 with the Tehran and Delhi declarations, which established a substantial set of framework for enhanced cooperation. In the present times given the changing regional and global economic and security conditions, many attempts have been made by both countries to increase their cooperation. Since Islamic revolution, Iran faces continuous confrontation and sanctions from the West and the USA. Iran has continuously tried to improve its relations with its neighbours and other friendly countries to minimize the impact of these sanctions which are badly affecting its economy. India, on the other hand, has been growing at a faster pace from last many years which has increased its energy requirements. Given Iran’s nuclear programme and its confrontation with the West and India’s energy requirements, both countries are working together to sustain their economic and energy cooperation from last many years. In 2015, both countries signed a memorandum of understanding worth USD 195 million for the development of Chabahar Port situated in south-eastern Iran and India agreed to make the investment in infrastructural development of Iran. Through this port, India will get easy access to Central Asian and Afghanistan which will increase its trade relations with these countries. The aim of this research article is to examine the impact of sanctions on Iran due to its nuclear programme on trade relations between India and Iran by using threshold autoregressive model and using trade variables including exports and imports. JEL Codes: 00, 05, 05

The present study investigates trade balance determinants in post-liberalization India from 1991 to 2020. The main aim of this study is to test the validity of the J-curve and Marshal-Lerner condition and examine the impact of other related macroeconomic variables, including foreign income, exchange rate, domestic prices, and domestic demand on the country’s trade balance. To achieve this objective, bounds tests and error correction model within asymmetric and symmetrical framework was used for estimation. In addition, variance decomposition analysis was applied to examine the dynamic interaction of selected variables. The results indicate the absence of the ‘J-curve’ effect and ‘Marshall-Lerner’ condition in India. Further, the results indicate that domestic prices, domestic demand, and money supply have negative signs, whereas exchange rate and world demand have positive signs in the long and short-run. The results from the variance decomposition indicate that as compared to other variables, the exchange rate highly contributes to forecasting error variance of trade balance in the case of India

In changing context of the present-day world, trade openness has a crucial role to play in economic development of different countries. Besides other factors, institutional quality plays a vibrant role in achieving a high growth rate. The objective of the present study is to understand how institutional quality influences economic growth and trade openness in India. To achieve the objectives of the study, Autoregressive Distributed Lag bound testing approach has been used. The findings show that there exists long-run relationship between the variables used in this study. From the findings, it can be concluded that total trade has a negative impact, whereas export enhances economic growth in the country. The results also show that improvement in institutional quality has a positive impact on economic growth. Thus the findings suggest that the country needs to adopt policies that can improve the quality of institutions and can enhance the formation of physical and human capital.