Exchange Rate and its Impact on India’s trade with its Major Trading Partners: A Pooled Mean Group Approach.

2022 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
DHANEESH KUMAR T.K ◽  
Sudarshan P.K. ◽  
Poornima BG
2021 ◽  
pp. 135481662110409
Author(s):  
Nikeel N Kumar ◽  
Arvind Patel ◽  
Rup Singh

This study models overall and bilateral tourism competitiveness in small Pacific island countries (PICs), namely, Cook Islands, Fiji, Tonga, Samoa and Vanuatu. The pooled mean group approach, which corrects for cross-sectional dependence and non-stationarity, is used for estimation with quarterly data from 2002 to 2019. The findings indicate that for Fiji and Vanuatu, other PICs are competing destinations and that Fiji and Vanuatu face the strongest bilateral competition amongst the selected PICs. Cross-price elasticities are insignificant for Tonga and are generally negative for the Cook Islands and Samoa. Thus, while for Fiji and Vanuatu, the Cook Islands is a competing destination, Fiji and Vanuatu are complementary destinations for the Cook Islands. Therefore, destinations that more closely resemble each other face stronger competition, and the nature and strength of competitive behaviour between two destinations are different for each concerned destination.


2016 ◽  
Vol 23 (01) ◽  
pp. 137-160
Author(s):  
Anh Vo The ◽  
Duc Vo Hong

This study aims to investigate the link of trade balance and exchange rate for the case of Thailand in different aspects by initially attempting to examine what factors determine the trade balance in Thailand and then to test the long-run relationship between the exchange rate and Thailand’s trade balance. The empirical findings indicate that the exchange rate and relative growth rate of income play central roles in explaining Thailand’s trade balance, and fiscal and monetary policies are beneficial in some cases. Additionally, panel fully modified ordinary least square (FMOLS) estimations illustrate that a devaluation of Thailand Baht offers a significantly positive improvement on its trade balance in the long run, especially for the groups of countries with upper middle and high income in America and Europe. Individual FMOLS regressions of Thailand’s trade balance and each of its 62 trading partners suggest that a devaluation of Thailand’s currency would stimulate Thailand’s trade performance with over 20 trading partners, but hurt its performance with the other 10 countries and be inconclusive to the others.


2020 ◽  
Vol 11 (6) ◽  
pp. 139
Author(s):  
Ali Madina Dankumo ◽  
Suryati Ishak ◽  
Yasmin Bani ◽  
Hanny Zurina Hamzah

This paper investigates the effect of governance in Sub-Saharan African towards trade. This study utilized panel data from 1996-2017. This employed Pooled Mean Group approach by categorizing the Sub-Sharan African (SSA) countries into Low Governance Index (LGI) and Very Low Governance Index (VLGI) countries, considering its abundant resources. The results of the findings indicate that corruption does not affect trade in LGI countries but increases that of VLGI countries, signifying that corruption “greases the wheels” of trade in countries with a high rate of corruption. However, political instability reduces trade for LGI countries, whereas, in VLGI countries, it does not affect trade, indicating that political instability only impacts in countries with relatively better governance. Government expenditure, income, and population growth increase trade in LGI countries but does not show any evidence of impacting trade in the VLGI countries. The study concludes that governance (corruption and political instability) is a significant determinant of trade in the SSA; hence, the importance of dealing with corruption and ensuring a stable political environment.


2009 ◽  
Vol 38 (2) ◽  
pp. 213-228 ◽  
Author(s):  
Jungho Baek ◽  
Won W. Koo ◽  
Kranti Mulik

This study examines the dynamic effects of changes in exchange rates on bilateral trade of agricultural products between the United States and its 15 major trading partners. Special attention is paid to investigate whether or not the J-curve hypothesis holds for U.S. agricultural trade. For this purpose, an autoregressive distributed lag (ARDL) approach to cointegration is applied to quarterly time-series data from 1989 and 2007. Results show that the exchange rate plays a crucial role in determining the short- and long-run behavior of U.S. agricultural trade. However, we find little evidence of the J-curve phenomenon for U.S. agricultural products with the United States’ major trading partners.


Sign in / Sign up

Export Citation Format

Share Document