Abstract
Purpose
The study investigates the obscure interaction between trade openness, financial development (FD), economic growth, non-renewable energy use, foreign direct investment (FDI) and environmental sustainability in Oman.
Design/methodology/approach
The study analyses annual time series data from 1973 to 2021, sourced from the World Bank Indicator and Global Footprint Network. It uses the Augmented Dickey–Fuller and Phillips–Perron tests to check variable stationarity and the autoregressive distributed lag (ARDL) bound cointegration technique to assess long-run relationships. The ARDL model examines dynamic linkages between the dependent and explanatory variables, while the robustness of the results is verified using the fully modified ordinary least squares method.
Findings
The study finds that FDI enhances Oman's environmental quality in both the short and long run, supporting the pollution halo hypothesis in Oman's case. Economic growth and unclean energy usage increase the ecological footprint (EF) in both the long run and the short run. Moreover, while trade openness reduces the EF in the short run, it leads to environmental degradation in the long run in Oman.
Originality/value
This study adopts the alternative encompassing measurement for environmental quality (EF) to determine the dynamic association between FDI, FD, trade, economic growth and unclean energy use and environmental quality simultaneously in the context of Oman, thus providing improved findings to inform insightful policymaking. The literature review revealed a lack of research, especially for Gulf countries, including Oman. Thus, this study is needed.
The study investigates the obscure interaction between trade openness, financial development (FD), economic growth, non-renewable energy use, foreign direct investment (FDI) and environmental sustainability in Oman.
Design/methodology/approach
The study analyses annual time series data from 1973 to 2021, sourced from the World Bank Indicator and Global Footprint Network. It uses the Augmented Dickey–Fuller and Phillips–Perron tests to check variable stationarity and the autoregressive distributed lag (ARDL) bound cointegration technique to assess long-run relationships. The ARDL model examines dynamic linkages between the dependent and explanatory variables, while the robustness of the results is verified using the fully modified ordinary least squares method.
Findings
The study finds that FDI enhances Oman's environmental quality in both the short and long run, supporting the pollution halo hypothesis in Oman's case. Economic growth and unclean energy usage increase the ecological footprint (EF) in both the long run and the short run. Moreover, while trade openness reduces the EF in the short run, it leads to environmental degradation in the long run in Oman.
Originality/value
This study adopts the alternative encompassing measurement for environmental quality (EF) to determine the dynamic association between FDI, FD, trade, economic growth and unclean energy use and environmental quality simultaneously in the context of Oman, thus providing improved findings to inform insightful policymaking. The literature review revealed a lack of research, especially for Gulf countries, including Oman. Thus, this study is needed.
| Original language | English |
|---|---|
| Number of pages | 14 |
| Journal | Arab Gulf Journal of Scientific Research |
| Early online date | 13 Jan 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 13 Jan 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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