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Erschienen in: Quality & Quantity 3/2014

01.05.2014

Exploring the nexus between tourism, remittances and growth in Kenya

verfasst von: Ronald Ravinesh Kumar

Erschienen in: Quality & Quantity | Ausgabe 3/2014

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Abstract

Recently there has been a surge in remittances inflow to Kenya while tourism receipts appears to be declining, albeit gradually. In light of these developments, the paper explores the plausible effects of tourism and remittances on per worker output. We use the annual data over 1978–2010 periods and the ARDL bounds approach within the augmented (Solow in Q J Econ 70:65–94, 1956) framework. The regression results show that tourism has a marginal net negative effect in the short-run however positive effect in the long-run. Remittances, on the other hand, have a net positive effect in short-run and negative effect in the long-run. The key results from the Toda–Yamamoto Granger non-causality (Toda and Yamamoto in J Econom 66:225–250, 1995) results show a unidirectional causation from remittances to output per worker; and from output per worker to tourism. A unidirectional ‘combined effect’ of all variables causing output and remittances, respectively are evident as well. Conclusively, tourism is one of the leading drivers of Kenyan economy. To boost gains from tourism, the sector needs to align policies to the Kenya 2030 strategic framework with significant focus on expanding markets, boosting investment, and growth. Remittances market need to be further developed strategically with the view to improving Kenyan migrant led growth initiatives with plausible links to tourism development.

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Fußnoten
1
In 2010, remittances inflow to developing countries was US$331.9 billion. However, the true size of the remittances flows is significantly larger due to unrecorded flows through formal and informal channels.
 
2
We assumed depreciation rate (\(\delta \)) of 5 %; initial capital stock (\(K_0\)) as 1.2 times the real GDP of 1978 in Kenyan Shillings; and gross fixed capital formation is used a proxy for investment (\(I_{t}\)). Hence, \(K_{t} = (1-\delta )K_{t-1}+I_{t}\).
 
3
This is important in order to identify appropriate lags when carrying out the Toda–Yamamoto (Toda and Yamamoto 1995) non-causality tests.
 
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Metadaten
Titel
Exploring the nexus between tourism, remittances and growth in Kenya
verfasst von
Ronald Ravinesh Kumar
Publikationsdatum
01.05.2014
Verlag
Springer Netherlands
Erschienen in
Quality & Quantity / Ausgabe 3/2014
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-013-9853-1

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