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The primary objective of this study was to evaluate the economic impact of tourism
and assess the strength of tourism inter-industry linkages in Rwanda’s economy for
the year 2014. The input-output/SAM models were used to estimate the impacts and
linkages of tourism in terms of output production, employment generation, labour
income earnings and total value creation.The economic models identified and
quantified the linkages between different sectors of the economy and linkages with
other countries. Relationships between expenditure and output, income and
employment (direct, indirect or induced) were described by multipliers. Data was
sourced from EORA multi-region input-output table (MRIO) database and the
Rwanda Tourism Satellite Account for the year 2014.All impacts have a starting point
in the economy, defined as the direct effect. The direct effect sets off iterations of
indirect (inter-industry production) and induced (labour) spending. The common
multipliers computed were associated with output, income, value addition and
employment in the economy for the year 2014. Multipliers were classified into their
various multiplier effects: initial effects, production and consumption-induced
effects.
About $286 million worth of internal tourism demand in the economy created 72,000
jobs (13% of economy-wide employment) $195 million in labour income (6.4% of
national labour income), $381 million in total value addition (6.8% of national total
value) and $803 million in output (7.3% of national output). In this report, internal
tourism expenditure (a portion of internal tourism consumption) was used as a basis
for calculating relevant multipliers and associated effects. Further studies are
recommended to re-estimate the multipliers by considering internal tourism
Book of Abstracts, 2018 32
consumption in its entirety. A more robust methodology such as Computable
General Equilibrium (CGE) model could be considered for further analysis.
Keywords: Tourism Satellite Account, Input-Output Table, Social Accounting Matrix,
Economic Contribution, Structural Linkages, Rwanda |
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