Aarif Mohammad Khan
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Economic growth and its relationship with the macroeconomic factors: An analysis of Oman
Uzma Khan , Aarif Mohammad Khan , Nahid A. Siddiqi doi: http://dx.doi.org/10.21511/ppm.20(4).2022.27Problems and Perspectives in Management Volume 20, 2022 Issue #4 pp. 356-364
Views: 328 Downloads: 92 TO CITE АНОТАЦІЯThis study determines Oman’s most important macroeconomic factors between 1990 and 2019. The ARDL bound test findings for co-integration show that both long and short runs exist. The error-correcting mechanism further states that when the divergence from long-run equilibrium is rectified at an adaptation speed of 78.9%, it signals an inversion to a long-run stable state. In response to a change in the previous year’s economic growth, the final consumption expenditure indicates a rise of 0.472; the gross fixed capital formation and export indicate hikes of 0.149 and 0.358 at a 1% significance level. Additionally, the findings of co-integration regression using fully modified ordinary least square (FMOLS), dynamic ordinary least square (DOLS), and canonical co-integration regression (CCR) were used to strengthen and validate the results that export ranks first in Oman, followed by final consumption spending. Therefore, export, gross fixed capital formation, and final consumption expenditure are vital macroeconomic elements supporting Oman’s economic development.
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An analysis of the effects of oil and non-oil export shocks on the Saudi economy
Investment Management and Financial Innovations Volume 20, 2023 Issue #1 pp. 127-137
Views: 544 Downloads: 325 TO CITE АНОТАЦІЯAs the world’s largest oil exporter, Saudi Arabia faces the same pressures as any other government to expand its economy. Saudi Vision 2030 is to reduce the country’s reliance on oil exports and revenues. One of the main goals of Saudi Vision 2030 is to increase the share of GDP that does not come from oil. Dynamic autoregressive distributed lag (ARDL) cointegration is used to look at how oil exports and exports of goods other than oil affect GDP growth. The results of the dynamic ARDL simulation show that there is both long-term and short-term cointegration between the variables. The dynamic ARDL simulation tests rely on the presence of cointegration to show that a 1% increase in oil exports will boost Saudi Arabia’s economic growth by about 0.48% in the long run and 0.18% in the short run, depending on the type of time frame. In the same way, the results about non-oil exports showed that an increase in non-oil exports would boost Saudi Arabia’s economic growth by 0.26 percentage points in the long run and by 0.16 percentage points in the short run. This is a good sign of Saudi Arabia’s efforts to diversify its economy away from oil exports and make room for international investors to help the country reach its Vision 2030 goals.
Acknowledgment
This study is supported via funding from Prince Sattam bin Abdulaziz University project number (PSAU/2023/R/1444).