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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.

This study compares the sensitivity of each household nonperforming loans (NPLs) category in Malaysia, allowing asymmetry across different household credit types, credit cards, personal uses, purchase of residential properties and purchase of transport vehicles. Differences in the impact of household debt on the Malaysian household NPLs are found evident. In the sample period from 2006 to 2018, the findings suggest an asymmetric impact of credit card debts on the household NPLs. This linkage is explained by only short-run negative changes in credit card outstanding loans. Besides that, the residential property loans behave asymmetrically in the long and short run, with higher impact sources from the negative changes. In a disaggregated NPL analysis focusing on a different type of loan portfolio, the asymmetry further enhances policy and regulation-making in managing household credit risk.

Recent studies on the relationship between exchange rates, oil prices, and economic growth in developing countries like Ghana have used linear methods, but do not account for potential asymmetries. This research investigates the intricate asymmetric effects of exchange rates, financial development, and oil prices on Ghana’s growth from 1990–2017 using a nonlinear model. The findings indicate that global oil price has asymmetric effects on short- and long-term growth, with positive price changes having different impacts than negative changes. However, there is no evidence for asymmetric long-term effects of exchange rates and financial development on growth, only short-term asymmetries. The cumulative effects of exchange rates and financial development outweigh oil prices. Recommendations include modernizing fuel efficiency, investing in renewable energy and public transit to address oil price shocks, and increasing market transparency and collaboration between major consumer and producer countries. The nonlinear model provides an evidence-based analysis of the intricate asymmetric relationships between these factors and developing country growth.

This study examines the asymmetric effect of economic policy uncertainty (EPU) on life and non-life insurance consumption in India using monthly data from April 2004–October 2020. The paper has employed a nonlinear autoregressive distributed lag (NARDL) model with a structural break. The results reveal that there exists an asymmetric effect of EPU on life insurance as well as non-life life insurance consumption. A negative relationship is found between EPU and insurance consumption in both life and non-life insurance. Based on the findings, the study suggests the policymakers to consider the asymmetric effects of EPU while formulating insurance-related policies in India.

Based on the demand-pull and cost-push theory, this study examines the relationship between foreign direct investment (FDI) and inflation nexus by using time series technique of Autoregressive Distributed Lags (ARDL). Asymmetry assumption was investigated by employing relatively advanced Nonlinear Autoregressive Distributed Lag (NARDL) method. Annual data from 1973 to 2017 has been collected from the World Bank database and DataStream. The results revealed that Bangladesh’s FDI inflow has a significant impact on the inflation rate, which augurs well for the economy. In addition, we also discover an asymmetric relationship in the long run and symmetric relationship in the short run. Several policy recommendations of these findings are provided.

In this study, we explored the effect of third-country exchange rate volatility on Pakistan’s trade with the major trading partner e.g., USA, Germany, UK, China, Italy, Spain, France, Japan, and Malaysia. To capture the effect of third-country exchange rate volatility, we used monthly data of exports and imports of Pakistan covering the period from January 1981 to January 2018. We used the NARDL technique to obtain the asymmetric results, which are more applicable in reality due to the difference in traders’ response to increased volatility as compared to when they are dealing with decreased volatility. This technique captured the cointegration in the models. The findings of this study suggest that the volatility of the exchange rate has importance in Pakistan trade. The results revealed that in both short-run and long-run, the third-country effect is found significant in eight export and eight import models. The results of both models revealed that the effects of exchange rate volatility are asymmetric in nature on Pakistan’s trade with major trading partners.

The current research aims to examine the dynamics among financial development, renewable energy consumption, information and communication technology (ICT) and inclusive growth by focusing on the interaction of finance and ICT in South Asia from 1995 to 2019. The objectives of the study are obtained by using new and broad measures for inclusive growth and financial development. The panel co-integration tests confirm the long-run association between the selected variables. The existence of cross-sectional dependence and mixed order of integration of analyzed variables require the application of panel linear and nonlinear autoregressive distributed lag (ARDL). The findings of both techniques disclose that financial development and ICT individually are significant and vital contributors to inclusive growth in the long run. While their collaboration does not supplement inclusive growth during the same period which is an interesting and unique finding. The short-run outcomes also endorse this outcome. However, the individual impact of financial development remains insignificant while ICT enhances inclusive growth significantly in the short run. The panel nonlinear autoregressive distributed lag (NARDL) results have more explanatory powers than panel ARDL and endorse the assumptions of significant complementarity and nonlinearity between financial development-ICT and inclusive growth. Therefore, it is suggested to increase the access and efficiency of financial intermediaries to accelerate the participation of the masses in the economic growth process and its benefits. In addition, more investment in ICT infrastructure and education is needed so that the ICT sector can complement the financial sector efficiently to boost inclusive growth in South Asia.

Nigeria has become one of the sub-Saharan Africa’s largest remittance recipients. Despite the economic benefits of remittances, there is rising concern about their impact on environmental degradation. The NARDL approach was used to analyze time-series data from 1980 to 2018, to determine the impact of remittances increases and decreases on environmental degradation in Nigeria. The cointegration results show that remittances and environmental degradation have a long-run relationship. The study found that remittances is asymmetrically connected to ecological footprint (EFP) as a measure of environmental degradation both in the long run and short run whereas it is asymmetrically connected with CO₂ as a measure of environmental degradation in the long run only. The study also found that remittances increase contributes to environmental degradation in Nigeria in the long run.