Introduction
The term growth usually connotes a quantitative increase. In this sense, multiple theoretical models of economic growth have emerged over time. For example, in the second half of the twentieth century, theoretical models arose to justify the economic growth of a country or region through education (this period was even known as the knowledge economy). However, most of these studies were hindered by limited educational information available at all levels systematically for many countries, particularly those in the Third World, because much of this research focused on the countries known as the First World.
In addition to education, the economic growth of a country or region has been associated with multiple factors such as climate change, People's Happiness, Health, Human Capital, Investment, Supply and Demand, Investment, Energy Use, Sustainability, and, of course, Artificial Intelligence. Without a doubt, economic growth is a multifactorial component, since there are other factors mentioned here (some of them are not yet studied in depth) that can be associated with this economic behavior. The previous manifestations of our economic life indicate, in turn, the economic panorama of a nation, which is part of the entire process of the historical development of each country or region.
One of the factors that have been analyzed little, concerning economic growth, is the budget assigned to military expenditure in a country or region. In general, this budget is analyzed from the perspective known as national security and its implications. Similarly, many of the economic models used to explain economic growth through the budget of military spending consider, a priori, a causality among all the variables involved in these models. In addition, it has been detected, for some countries or regions, that there is no statistical importance in explaining the endogenous variable of economic growth through the exogenous variable called military spending. However, there is also statistical evidence, for some countries or regions, that these two variables are positively correlated. In this divergence of the results, it is important to mention that causality or statistical significance will depend on the information involved in statistical models, since, as mentioned above, economic growth is multifactorial.