From oil reliance to diversified growth: The role of mega events and large-scale projects in two resource-rich economies

This study investigates the impact of mega events and large-scale projects on economic diversification and sustainability in two Gulf Cooperation Council countries, namely Qatar and Saudi Arabia from 1996 to 2022. While these countries have emphasized the role of economic diversification as a crucial aspect to mitigate their dependence on hydrocarbons, the extent of their success in achieving this goal remains relatively unknown. This study employs advanced econometric methods, including an Autoregressive Distributed Lag model with structural breaks and a time-varying Granger causality analysis, to explore the impact of mega events on economic growth and diversification. We find that government expenditure positively affects GDP growth, especially after the announcement of mega events. Interestingly, this positive effect is more pronounced in the non-oil sector compared to the oil sector. Thus, our results demonstrate how these events affect a country’s diversification and sustainability efforts, ultimately reducing the reliance on oil and gas revenues. We also find that labor and capital accumulation play a more substantial role in fostering economic growth in the non-oil sector compared to the oil sector. Our results are of paramount importance to policymakers and stakeholders with several policy implications.

Authors

Institutions

Publication Details

Journal
Economic Analysis and Policy
Published
2025-09-22
DOI
https://doi.org/10.1016/j.eap.2025.09.021
Citations
1
Primary Topic
Sport and Mega-Event Impacts
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From oil reliance to diversified growth: The role of mega events and large-scale projects in two resource-rich economies

Mouyad Alsamara, Karim Barkat, Karim Mimouni, Zouhair Mrabet
1 citations
Economic Analysis and Policy
Sport and Mega-Event Impacts
4.20
article

From oil reliance to diversified growth: The role of mega events and large-scale projects in two resource-rich economies

Mouyad Alsamara, Karim Barkat, Karim Mimouni, Zouhair Mrabet
article en
1 citations

Abstract

This study investigates the impact of mega events and large-scale projects on economic diversification and sustainability in two Gulf Cooperation Council countries, namely Qatar and Saudi Arabia from 1996 to 2022. While these countries have emphasized the role of economic diversification as a crucial aspect to mitigate their dependence on hydrocarbons, the extent of their success in achieving this goal remains relatively unknown. This study employs advanced econometric methods, including an Autoregressive Distributed Lag model with structural breaks and a time-varying Granger causality analysis, to explore the impact of mega events on economic growth and diversification. We find that government expenditure positively affects GDP growth, especially after the announcement of mega events. Interestingly, this positive effect is more pronounced in the non-oil sector compared to the oil sector. Thus, our results demonstrate how these events affect a country’s diversification and sustainability efforts, ultimately reducing the reliance on oil and gas revenues. We also find that labor and capital accumulation play a more substantial role in fostering economic growth in the non-oil sector compared to the oil sector. Our results are of paramount importance to policymakers and stakeholders with several policy implications.

Economic Analysis and PolicyVol. 89
Qatar University (QA)
Openalex Percentile: Top 6%
Sport and Mega-Event Impacts
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.