Measuring the Impact of Oil Revenues and External Debt on Economic Growth in Iraq for the Period (2004-2023) and the Role of Artificial Intelligence Techniques in this Context

The research dealt with measuring and analyzing the impact of oil revenues and external debt on economic growth in Iraq for the period (2004-2023). The standard results in the research were estimated and analyzed using the joint integration methodology based on the (ARDL) model to estimate the equilibrium relationship in the short and long term. The most important thing that the research reached is that the error correction parameter (1-Cointeq) for the model, which is (-0.0218), is negative, in addition to the fact that the probability value (p.value) is less than (0.05), which means that the basic condition for this parameter is met, which is its negative value and statistical significance, which means that there is joint integration between the independent variables represented by (oil revenues and external debt) towards the dependent variable, which is the subject of the research, represented by (average per capita share of the gross domestic product) as a result of the fulfillment of the two basic conditions in this test, which are the negative value and statistical significance. This means that (0.02) of errors in the short term can be corrected over time in order to reach equilibrium in the long term. Long, the oil revenue coefficient (ORL) showed a direct response with the average per capita GDP (ACGDP) index, and statistically insignificant in the long run, while the external debt coefficient indicates an inverse and insignificant response in the long run. The research included the possibility of artificial intelligence to play a vital role in improving the economic decision-making process, as the goal of this vision is how to employ artificial intelligence as an advanced analytical tool to measure the impact of oil revenues and external debt on economic growth in Iraq.