Services trade–ICT–tourism nexus in selected Asian countries: new evidence from panel data techniques

Anser, Muhammad Khalid; Adeleye, Bosede Ngozi; Tabash, Mosab I.; Tiwari, Aviral Kumar

doi:10.1080/13683500.2021.1965554

Cited by 33 publications

(30 citation statements)

References 49 publications

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“…It computes the consistent standard errors in line with linear panel model regression (Cameron and Trivedi 2005; Hoechle 2006; Anser et al. 2021). To address the issue of endogeneity and possible causality among the variables, the study explores the instrumental variables based on fixed effects (IV/FE) estimation technique and Dumitrescu–Hurlin panel causality.…”

Section: Methodsmentioning

confidence: 99%

“…The lagged values (1 to 3 years) of ICT indictors are used as instruments (Buehn and Farzanegan 2013; Keneck‐Massil and Noah 2019; Anser et al. 2021). In addition, one of the benefits of using Dumitrescu–Hurlin panel causality is that it is more effective in the presence of CD.…”

Section: Methodsmentioning

confidence: 99%

“…This technique accommodates fixed effects, relevant where individual country effects can be rooted in the structure of the panel (Anser et al. 2021; Elbatanony et al. 2021).…”

Section: Methodsmentioning

confidence: 99%

“…∅ i and U t are the unobserved country and time fixed effects. This technique accommodates fixed effects, relevant where individual country effects can be rooted in the structure of the panel (Anser et al 2021;Elbatanony et al 2021). This is done to confirm the robustness of the estimated results.…”

Section: Empirical Strategiesmentioning

confidence: 99%

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The impact of ICT on shadow economy in West Africa

Ajide

Dada

2022

Int Social Sci J

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In accordance with the 2030 UN Sustainable Development Goal 9, this study probes the impact of information and communication technology (ICT) on shadow economy in West Africa. The study is based on 12 countries in the period of 1996-2017. We augment the least-squares dummy variables with Driscoll and Kraay's (1998) panel spatial correlation consistent (PSCC-LSDV) to estimate the model, while the instrumental variables based on fixed effects (IV/FE) estimation technique and the novel method of moments quantile regression (MM-QR) are used for robustness checks. Dumitrescu and Hurlin's (2012) panel causality test is employed to examine the causal direction. The results show that ICT reduces shadow economy in the West African region. In addition, the results of panel causality show that there is a bidirectional relationship between shadow economy and ICT variables in the West African region. This implies the two variables can be used to predict each other. The study concludes ICT can be used to reduce the level of shadow economy in West African countries and the magnitude impact differs across quantiles.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

“…This technique accommodates fixed effects, relevant where individual country effects can be rooted in the structure of the panel (Anser et al. 2021; Elbatanony et al. 2021).…”

Section: Methodsmentioning

confidence: 99%

Section: Empirical Strategiesmentioning

confidence: 99%

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The impact of ICT on shadow economy in West Africa

Ajide

Dada

2022

Int Social Sci J

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“…In 2020 tourist arrivals fell to 507,704 from 1,913,702 in 2019. In 2020, FDI fell to $548 million from $793 million in 2019 (Anser, Adeleye, Tabash, & Tiwari, 2021). Bangladesh has a 162,650,853 population and a GDP of $409 billion in 2021.…”

Section: Introductionmentioning

confidence: 99%

Impact of Tourism Growth and FDI on Economic Growth: Evidence from South Asian Countries

Bhatti¹,

Marri²,

Azam³

2021

iRASD J. Eco.

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Nowadays, economic growth has again gained global attention because of the uncertainty in global economic conditions and attracts the focus of regulators and recent research studies. In this scenario, this study examines the role of tourism growth and foreign direct investment (FDI) on the economic growth of South Asian countries. This study has used the interest rate and population growth as the control variables. The secondary data has been extracted from the world development indicators (WDI) from 2001 to 2020. The fixed effect model (FEM) and generalized method of moments (GMM) are run to test the linkage among the variables. The results expose that tourism growth, FDI, interest rate, and population growth have a positive and significant effect on the economic growth in South Asian countries. The results provide guidelines to the regulators and furnish policies regarding economic growth for tourism growth.

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