Radika Devi

Dr. Radika Devi

University of the South Pacific
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2012 in Tourism Economics
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Journal Article
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Ronald Ravinesh KumarRonald Ravinesh Kumar
Ronald Ravinesh Kumar
Radika DeviRadika Devi
Radika Devi
With annual data for the period 1980–2008, the authors explore the nexus between information and communications technology (ICT), tourism and growth in Fiji's economy. A growth equation estimation using the bounds test shows that tourism contributes about 0.23% in the long run and 0.19% in the short run, and ICT contributions are 1.07% and 0.89%, respectively. The Granger causality test reveals a unidirectional causality going from capital stock to ICT, ICT to tourism and real per capita GDP to tourism. Hence, the study finds that ICT investment and tourism market development are crucial for Fiji's growth and development.

22 May 2014 in Quality & Quantity
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Journal Article
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Ronald Ravinesh KumarRonald Ravinesh Kumar
Ronald Ravinesh Kumar
NLNanthakumar Loganathan
Nanthakumar Loganathan
APArvind Patel
Arvind Patel
Radika DeviRadika Devi
Radika Devi
Prior studies on Malaysia mainly looked at the cointegration relationship and causality nexus of the tourism sector. In addition to these apects, in this article, we look at the statistical and economic significance of tourism in Malaysia. We explore the short-run and long-run effects of tourism on output per worker in Malaysia using the sample period 1975–2012 where we estimate the respective elasticity coefficients. Given that the data on tourism receipts reported by the World Bank (2013) are only for 1995–2011 at the time of study, we use an exponential trend function based on the available data for tourism receipts as best fit to approximate the missing data. Subsequently, using the data from 1975–2012 and the augmented Solow (1956) model in which tourism receipts (% GDP) is included as a shift variable and hence a proxy for tourism development, we examine the cointegration, elasticity coefficients and causation using the ARDL bounds (Pesaran et al. 2001) and the Toda and Yamamoto (1995) non Granger causality procedure, respectively. The results show that tourism has a lagged marginal negative effect ( \(-\) 0.06 %) in the short run and a positive and statistically significant effect in the long-run (+0.26 %). The causality nexus show a bi-directional causation between tourism and capital per worker which supports the notion that tourism and investment activities are mutually reinforcing; and a unidirectional causation from output per worker to capital per worker indicating that economic growth spurs capital accumulation and productivity. Although our findings are not unique due to data constraints, the results nevertheless reveal that tourism has a long-run momentous effect on the economic growth of Malaysia and is a catalyst for boosting investment activities. In this regard, policy focus can be directed towards enhancing tourism infrastructure including technology integration and management, creating more visitor confidence in the global tourism markets, exploiting the major sources of tourism markets with socially desirable and economically beneficial tourist products, and exploring niche markets for tourism expansion which can include links with foreign direct investment.

2 July 2019 in Tourism Economics
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Journal Article
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NKNikeel Kumar
Nikeel Kumar
Ronald Ravinesh KumarRonald Ravinesh Kumar
Ronald Ravinesh Kumar
Radika DeviRadika Devi
Radika Devi
PSPeter Josef Stauvermann
Peter Josef Stauvermann
We examine whether tourism sector development measured by visitor arrivals per capita has asymmetric growth effects in the Cook Islands using quarterly data from 2010Q1 to 2016Q3. Asymmetric cointegration, long-run elasticities, and dynamic multipliers are estimated using the nonlinear autoregressive distributed lag model developed by Shin et al. Asymmetric causality testing is done using the asymmetric vector autoregression approach with insights from Hatemi-J. We identify structural breaks using the Lee and Strazicich multiple endogenous structural break unit root test. The results indicate that a 1% increase in visitor arrivals would increase gross domestic product (GDP) per capita by 0.92%, whereas a 1% decrease in visitor arrivals would decrease GDP per capita by 0.34%. The identified breaks, 2013Q2 and 2015Q3, are positive and significant in the short run only. The causality result confirms a bidirectional association, thus mutually reinforcing the asymmetric relationship between visitor arrivals and economic growth.

1 December 2015 in Renewable and Sustainable Energy Reviews
Verified
Journal Article
Closed access
Ronald Ravinesh KumarRonald Ravinesh Kumar
Ronald Ravinesh Kumar
PSPeter Josef Stauvermann
Peter Josef Stauvermann
NLNanthakumar Loganathan
Nanthakumar Loganathan
Radika DeviRadika Devi
Radika Devi

1 May 2015 in Telecommunications Policy
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Journal Article
Closed access
Ronald Ravinesh KumarRonald Ravinesh Kumar
Ronald Ravinesh Kumar
Radika DeviRadika Devi
Radika Devi
APArvind Patel
Arvind Patel

1 November 2013 in Energy Policy
Verified
Journal Article
Closed access
Ronald Ravinesh KumarRonald Ravinesh Kumar
Ronald Ravinesh Kumar
Radika DeviRadika Devi
Radika Devi