ORCID Profile
0000-0003-3325-080X
Current Organisation
BRAC University
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Publisher: Springer Science and Business Media LLC
Date: 27-10-2021
Publisher: Springer Science and Business Media LLC
Date: 29-10-2020
Publisher: SAGE Publications
Date: 21-05-2022
DOI: 10.1177/13548166221097025
Abstract: This study examines whether international tourism flows are affected by differences in the environmental performance of origin and destination countries by conducting an empirical analysis with a gravity panel dataset of 169 origin countries and 157 destination countries from 2000 to 2015. Estimated results show that the difference between environmental performance of a country pair adversely affects international tourism flows. This implies that tourist behavior is particularly influenced by familiarity, behavior conformity, and the need for virtue-signaling. Results also suggest that better environmental performance of the destination relative to the origin, as captured by an overall environmental performance index or its sub-indices, lowers international tourism more than vice-versa. This effect potentially hinges on the tradeoff between functionality and the image of the international tourist destination. Policies that create an enabling milieu for sustainable tourism and environmental practices—such as ecolabeling and targeted advertising—would help attract more environmentally conscious tourists.
Publisher: SAGE Publications
Date: 20-09-2019
Abstract: This article explores whether the determinants of international tourism demand differ by states and territories in Australia. This is the first attempt at econometric modelling of international tourism demand in the states and territories of Australia. A demand model is specified where international visits to states and territories is a function of world income, state-level transportation costs, stock of foreign-born residents, the Australian real exchange rate and the price levels of international and domestic substitutes. Panel and time series econometric techniques are employed to test the model variables for stationarity, cointegration and direction of causality. Panel and time series cointegration tests show that the model is cointegrated. The causality analysis indicates that all explanatory variables Granger cause international visits to the Australian states and territories. Further, we show that the impacts of the determinants of international tourism vary by states and territories. The results underscore the importance of targeted policymaking that takes into account the economic and social structure of each state and territory instead of designing tourism policies on the basis of one-size-fits-all approach.
Publisher: Elsevier BV
Date: 08-2022
Publisher: Wiley
Date: 21-07-2020
DOI: 10.1002/IJFE.2119
Abstract: This paper examines long‐run dependence and causality between oil and precious metal (gold, silver, platinum, palladium, steel, and titanium) prices across quantiles by exploiting their time series properties with the help of novel econometric techniques. The empirical results for the period 1990–2019 indicate that oil and metal prices are nonstationary across different quantiles and that cointegration patterns differ widely across quantiles. Causality running from oil to metal prices is quantile‐dependent and differs according to the metal, whereas upward and downward movements in metal prices have no causal effect on oil prices. These results have implications for investors and policymakers in terms of portfolio and risk management decisions.
Publisher: Elsevier BV
Date: 07-2018
Publisher: Wiley
Date: 14-11-2019
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 03-2017
Publisher: Elsevier BV
Date: 06-2021
Publisher: Springer Science and Business Media LLC
Date: 21-08-2023
Publisher: SAGE Publications
Date: 08-03-2019
Abstract: This article investigates the effect of different economic and financial crises, such as inflation crisis, stock market crash, debt crisis, and banking crisis on international tourism flows using a panel gravity data set of 200 countries over the period 1995 to 2010. The results show that the inflation crisis has a d ening effect on international tourism flows in both the host and origin countries. The results also show that domestic debt crisis encourages international tourism arrivals in the host countries, whereas its impact on international tourism services in originating countries is negative. Further, the impact of these crises on tourism is region dependent. In particular, banking crisis depresses international tourism flows in host countries situated in regions such as America and Latin America and Caribbean, whereas its impact on originating countries located in regions such as Asia and the Middle East is insignificant.
Publisher: Elsevier BV
Date: 06-2023
Publisher: Wiley
Date: 19-09-2019
DOI: 10.1111/TWEC.12720
Publisher: Elsevier BV
Date: 09-2022
Publisher: Elsevier BV
Date: 10-2021
Publisher: Wiley
Date: 03-07-2023
DOI: 10.1111/TWEC.13452
Abstract: This study pioneers the analysis of transport Kuznets curve (TKC) for passengers in 31 Chinese provinces using data from 1980 to 2018 and a comprehensive non‐parametric econometric analysis approach. The empirical analysis finds convergence among most of the provinces in terms of travel frequency and economic growth, as well as the nexus between the variables. There is a non‐linear positive effect of economic growth on travel frequency in all 31 provinces, and evidence for the existence of TKC – in full or in part – in 30 provinces. The study provides the initial motivation for policymakers to undertake policies and projects commensurate with each province's transport growth nexus.
Publisher: Elsevier BV
Date: 06-2017
Publisher: Elsevier BV
Date: 06-2021
Publisher: Wiley
Date: 02-10-2022
Abstract: This article is first to model energy poverty in Chinese households using an Engel curve approach. To analyse the determinants of energy poverty and energy expenditures across households, we avail the 2015 wave of the Chinese General Social Survey (CGSS). Possible presence of endogeneity is accounted for in the model specification as well as by using the Lewbel heteroscedasticity identified endogenous variables estimator. In addition, we are the first to scrutinise disparity and discrimination by conducting the Blinder–Oaxaca decomposition of energy poverty model by gender, ethnicity, region (Eastern vs. non‐Eastern provinces), and urbanisation status (rural vs. urban residents). Our analysis shows: (i) education is the key determinant of various energy poverty measures and energy expenditure shares across Chinese households (ii) other determinants including fossil fuel mix and electricity price discrimination are found to worsen energy poverty, on average. However, fossil fuel mix is found to increase expenditure share of total energy, electricity, and coal and decrease that of biomass and (iii) the Blinder–Oaxaca decomposition analyses show no statistically significant gender or ethnic discrimination in energy poverty rates. However, there is substantial ide between Eastern and non‐Eastern provinces and between rural and urban households—with these groups also discriminated against when accessing clean cooking fuels and technologies. The Blinder–Oaxaca results also generally support the logistic and the Lewbel energy poverty model findings.
Publisher: Elsevier BV
Date: 10-2022
Publisher: Elsevier BV
Date: 2018
DOI: 10.2139/SSRN.3647146
Publisher: Wiley
Date: 07-05-2021
DOI: 10.1111/TWEC.13130
Abstract: This paper makes an innovative contribution to the extant literature by analysing the determinants of economic stimulus packages implemented by governments in response to the COVID‐19 pandemic. In particular, we explore whether stock market declines observed in many countries can predict the size of COVID‐19 stimulus packages. Moreover, we explore whether a country's level of income can augment the underlying relationship between stock market declines and stimulus packages. The findings reveal that a larger stock market decline results in a larger stimulus package however, this effect is only observed in countries that have an income level greater than the mean and/or median per capita gross domestic product (GDP). Moreover, our results show that monetary policy is more responsive to a stock market decline than fiscal policy. Thus, our results underscore the importance of international donor agencies such as the World Bank and International Monetary Fund (IMF) in supporting less affluent countries in coping with the adverse impacts of the COVID‐19 pandemic on their economies.
Publisher: Elsevier BV
Date: 06-2020
Publisher: Wiley
Date: 09-2017
Publisher: Springer Science and Business Media LLC
Date: 13-10-2020
Publisher: Springer Science and Business Media LLC
Date: 13-09-2021
DOI: 10.1186/S40854-021-00290-W
Abstract: This paper examines the high frequency multiscale relationships and nonlinear multiscale causality between Bitcoin, Ethereum, Monero, Dash, Ripple, and Litecoin. We apply nonlinear Granger causality and rolling window wavelet correlation (RWCC) to 15 min—data. Empirical RWCC results indicate mostly positive co-movements and long-term memory between the cryptocurrencies, especially between Bitcoin, Ethereum, and Monero. The nonlinear Granger causality tests reveal dual causation between most of the cryptocurrency pairs. We advance evidence to improve portfolio risk assessment, and hedging strategies.
Publisher: Elsevier BV
Date: 2020
DOI: 10.2139/SSRN.3644851
Publisher: Elsevier BV
Date: 07-2020
Publisher: SAGE Publications
Date: 04-02-2016
Abstract: The export-led growth (ELG) hypothesis suggests that there is a strong positive linear relationship between a country’s exports and economic growth. For many years, theoretical and empirical studies have examined the causal relationship between exports and economic growth and found that this relationship is one of interdependence rather than of unilateral causation. The purpose of this article is to empirically re-examine the ELG hypothesis in the context of two small South Asian countries: Bangladesh for the period of 1980–2011 and Sri Lanka for the period of 1984–2011. Using a model that controls for a host of domestic and international factors, this article tests the ELG hypothesis by employing the Auto Regressive Distributed Lag (ARDL) bounds test for cointegration and the Granger causality tests. The empirical results confirm the validity of the ELG hypothesis for both Bangladesh and Sri Lanka.
No related grants have been discovered for Muhammad Shafiullah.