Exchange Rate and Trade in Services Nexus in Nigeria: A Non-Linear ARDL Approach

A nonlinear ARDL model is employed to investigate the asymmetric drivers of non-oil trade in services between Nigeria and Netherlands. A significant number of past studies have concentrated their attention on the elasticity of trade in services to real exchange rates and income as well as on non-oil export, total export trade or import, yet none have delve into asymmetric relationship. This study aims to fills this void. Our result shows that the effects of exchange rate variations have both positive and negative displays with more negative asymmetry. This provides further insights in the nature of service asymmetries. (JEL Codes: C22, D43, E31, L71, Q41) Keywords: asymmetric cointegration, exchange rate adjustment, disaggregated, services

MODELING TOURISM–ENVIRONMENT RELATIONSHIP IN AUSTRALIA: DOES ASYMMETRY MATTER?

Prior empirical studies have employed various econometric estimation techniques to study the environmental effect of tourism demand. Prominently, these econometric modeling techniques implicitly assume that the environmental effect of tourism is symmetrical, which could sometimes be problematic. This study, therefore, utilized two econometric estimation techniques, namely, the Pesaran et al. ( 2001 ). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326) symmetric autoregressive distributed lag (ARDL) and Shin et al. ( 2014 ). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Festschrift in Honor of Peter Schmidt, pp. 281–314. New York: Springer) nonlinear ARDL (NARDL) estimation technique to disentangle the effect of tourism demand on carbon emissions in Australia. The results from the symmetric ARDL model reveal that tourism demand significantly increases carbon emissions in the long run, indicating that a 1% increase in tourism demand contributes to a 0.155% increase in carbon emissions in the long run. Contrarily, the NARDL model shows that a positive shock (an increase) in tourism demand reduces carbon emissions while a negative shock (a decrease) in tourism demand increases carbon emissions in the long run. From the NARDL estimate, a 1% increase in tourism demand is associated with a 0.220% decline in carbon emissions, while a 1% decrease in tourism demand increases carbon emissions by 0.250%. Therefore, I argue that carbon emissions depend not only on the size of tourism demand but also on the pattern — thus the increase and decline — of tourism demand. The implications of these results for policy are discussed.

Revisiting inflation and growth nexus: an asymmetric cointegration based on Non-linear ARDL approach in case of Bangladesh

Sustainable high economic growth is the major objective of a country. Whereas inflation is one of the critical factors that affect economic development. Growth-inflation nexus is one of the most controversial topics in this present world. This study re-investigates the link between inflation and the economic development of Bangladesh by employing a non-linear autoregressive distributed lagged (NARDL) approach. For this study, we use annual time series data set on the growth rate of per capita gross domestic product, and the inflation rate for the time range from 1986 to 2017. The asymmetric cointegration result based on the NARDL approach shows the confirmation of long-run integration between the GDP growth rate and inflation rate (CPI). The study finds a positive and robust nexus between growth rate and inflation rate. The relationship exists both in the long-run as well as in the short-run. The results also have statistically significant. This study further explores that there is an asymmetric relationship between the rate of inflation and the rate of economic growth. The nonlinear ARDL approach shows that the GDP growth rate responds more with an upward change in inflation than that of a downward change. Furthermore, in the short-run, the positive change in inflations has a significant and positive influence on the growth rate. Still, the influence of an adverse change in inflations has statistically insignificant. Both the policymakers of Bangladesh (Bangladesh Bank) and development partners working in the country can be benefited from these results in the context of policy implementation. This study recommends that to boosting up the economic growth in the context of Bangladesh, the inflation rate can be treated as a significant determination.

Revisiting inflation and growth nexus: an asymmetric cointegration based on Non-linear ARDL approach in case of Bangladesh

Sustainable high economic growth is the major objective of a country. Whereas inflation is one of the critical factors that affect economic development. Growth-inflation nexus is one of the most controversial topics in this present world. This study re-investigates the link between inflation and the economic development of Bangladesh by employing a non-linear autoregressive distributed lagged (NARDL) approach. For this study, we use annual time series data set on the growth rate of per capita gross domestic product, and the inflation rate for the time range from 1986 to 2017. The asymmetric cointegration result based on the NARDL approach shows the confirmation of long-run integration between the GDP growth rate and inflation rate (CPI). The study finds a positive and robust nexus between growth rate and inflation rate. The relationship exists both in the long-run as well as in the short-run. The results also have statistically significant. This study further explores that there is an asymmetric relationship between the rate of inflation and the rate of economic growth. The nonlinear ARDL approach shows that the GDP growth rate responds more with an upward change in inflation than that of a downward change. Furthermore, in the short-run, the positive change in inflations has a significant and positive influence on the growth rate. Still, the influence of an adverse change in inflations has statistically insignificant. Both the policymakers of Bangladesh (Bangladesh Bank) and development partners working in the country can be benefited from these results in the context of policy implementation. This study recommends that to boosting up the economic growth in the context of Bangladesh, the inflation rate can be treated as a significant determination.

NONLINEAR ARDL APPROACH AND PPP: EVIDENCE FROM 82 COUNTRIES

Since the introduction of asymmetric cointegration and error-correction modeling, old theories have been getting a renewed attention, and purchasing power parity theory (PPP) is no exception. In this paper, we revisit the PPP by applying this relatively new technique. When we applied the symmetric cointegration test of Pesaran et al. [Pesaran, MH, Y Shin and RJ Smith (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326], we found cointegration between the nominal exchange rate and relative prices in 22 out of 82 countries. However, application of the asymmetric cointegration method of Shin et al. [Shin, Y, B Yu and M Greenwood-Nimmo (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. Sickels and W. Horrace (eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications, pp. 281–314. New York: Springer] increased the number to 51 out of 82 countries. Nonlinear adjustment of relative prices was said to be the main contributing factor.

The food import: International tourism nexus in Croatia: An application of the ARDL and NARDL approach and causality

The purpose of this study is to examine the relationship between food import dependency and the international tourist arrivals in Croatia during the period spanning 1969-2018. In this paper, we provide empirical evidence on the above hypothesis by detecting the causality between foods imports represented as various food products and international tourism arrivals, that suit as a proxy for tourism consumption. The study method was able to capture symmetries in the relationship between some food import products and tourism, known as autoregressive-distributed lags, but not for all imported food items designed for this study. Since an asymmetric analysis, in such cases, requires the use of nonlinear models, we use nonlinear models and find evidence of asymmetric cointegration. For almost two decades before the global COVID-19 crisis, we conclude, Croatia's food imports grew rapidly, and these imports appear to be mainly driven by exports of services linked to pervasive tourism expansion.

Business Confidence and Business Tourism in Japan

This study explored the asymmetric impact of business confidence index (BCI), real effective exchange rate, inflation, the value of trade index and Gross Domestic Product (GDP) on inbound business tourism in Japan using the methodology of asymmetric cointegration. The paper uses the nonlinear autoregressive distributed lag (NARDL) bounds test procedure to obtain the long-run cointegrating relationship. The estimated NARDL results show that in the long-run, the negative asymmetric impact of the BCI is stronger than the positive impact. Finally, the study confirms that for the long-run, asymmetric relation exists between tourism, BCI, real effective exchange rate, inflation, GDP and value of trade index.