Abstract:
Purpose: This research examines the impact of infrastructure development on Sri
Lanka's tourism industry post-war (2009-2024). It aims to determine how
infrastructure development affects the industry. It examines the long-run and short
run
dynamics
to
better
understand
this
influence.
Methodology: This study uses a multiple regression model to examine how multiple
independent variables (infrastructure: Road, Sri Lanka) affect a single dependent
variable (tourism growth: tourism arrival). The analysis covers 2009–2024, including
the crucial years after the Sri Lankan civil war. Statistical tests are used to verify the
findings. A correlation analysis and Granger causality tests are used to find causal
links and strengths between variables. Co-integration tests determine if the variables
have a long-run equilibrium relationship. EViews 12 software analyzes data using
these
statistical
methods.
Finding: Co-integration tests show a long-term relationship between tourism and
infrastructure. Improvements to infrastructure like roads and transportation systems
will benefit Sri Lanka's tourism industry in the long term. A two-way causal
relationship from Granger causality tests strengthens this connection. This is
important because it suggests that infrastructure development and tourism growth can
both encourage infrastructure investment.
Practical Implications: This knowledge can help make strategic infrastructure
development decisions. Road networks, transportation systems, and other
infrastructural facilities must be invested in to improve accessibility, the tourist
experience, and Sri Lanka's global tourism competitiveness.
Originality/ Value: This post-war Sri Lankan analysis adds to the literature on the
infrastructure-tourism relationship. Focusing on significant economic and political
transformation, the research provides insights that may not be apparent in longer-term
or more stable political studies.
