Econometric Forecasting of Academic Management in the Face of Uncertainty Regarding Hostilities

Financial and credit systems: prospects for development, volume 4, issue 11, 2023[10.26565/2786-4995-2023-4-05]

7 Pages Posted: 11 Nov 2024

See all articles by Olesia Suntsova

Olesia Suntsova

State Tax University; National University of Food Technologies

Multiple version iconThere are 2 versions of this paper

Date Written: October 03, 2023

Abstract

This article addresses the interrelations between economic factors and military conflicts, examining the role of econometric forecasting in academic management during periods of uncertainty surrounding hostilities. It delves into the two principal theories of classical macroeconomics-neutrality and dichotomy-and explores their applicability to the complex interplay between economic forces and military dynamics. In doing so, it challenges the conventional binary view of conflicts as either war or peace, emphasizing the nuanced gradations that emerge over time. The study highlights the significance of economic advantages in shaping decisions related to military conflicts and underscores the role of econometric forecasting as a critical factor in academic institutions navigating the indirect repercussions of hostilities. The article also presents a comprehensive examination of strategic interactions, introducing distinctions between moves, rounds, and plays in conflict scenarios. Drawing on recent research and publications, the article underscores the importance of understanding the economic principles governing the preservation of peace and forecasting the consequences of such decisions. It references seminal work by economists P. Romer, R. Lucas, R. Barro, I. Salla y Martin, and R. Levine, who laid the foundation for the study of endogenous economic development. The theories of trade and military conflict are two distinct branches in economic analysis and prediction. Trade theory is founded on contractual agreements and mutual benefits, while military conflict theory centers on competition for dominance. It's important to recognize that various analytical methods exist for modeling equilibrium in such situations, whether they involve active hostilities or the coexistence of armed forces during economic stagnation due to anticipated conflicts. It becomes evident that the decision to initiate or de-escalate a military conflict is primarily driven by economic advantages, even in the domain of academic management. In this context, econometric forecasting techniques play a role in the economic activities of academic institutions, which may experience direct or indirect consequences of hostilities. This is because various sectors must compete for their survival amidst these dynamics. Purpose: The study's objectives include assessing the impact of military budgeting productivity on economic growth using economic and mathematical modeling techniques, with a focus on countries facing uncertainties related to hostilities, evolving budget and tax regulations, and inflation. The article adapts the models of J. Battis and T. Koeli to facilitate this analysis. Methods: Macroeconomic Analyses, Econometric Analyses, Trend Analyses Results: Determining the optimal level of taxation to obtain the necessary income for the budgets of academic institutions in conditions of uncertainty in the conduct of hostilities. Conclusion: In conclusion, the study challenges classical economic doctrines by establishing a strong connection between military budget allocation and the real sectors of the economy. It underscores that a nation's economic growth is contingent upon the productivity and effectiveness of its military budgeting, even in a globalized world economic system. This study opens the door to further research in this interdisciplinary field.

Keywords: econometric forecasting, academic management, uncertainty, hostilities, economic modeling, endogenous economic development, academic institutions, budgeting, military conflicts, financial impact, economic growth, strategic decision-making, budget optimization, risk assessment, financial efficiency, methods: macroeconomic analyses, econometric analyses, trend analyses

JEL Classification: C81, C82, C58, C52, C43, C33, B41, B26, B27, B17, G11, G14, G15, G23, G29, G32, O16, O50

Suggested Citation

Suntsova, Olesia, Econometric Forecasting of Academic Management in the Face of Uncertainty Regarding Hostilities (October 03, 2023). Financial and credit systems: prospects for development, volume 4, issue 11, 2023[10.26565/2786-4995-2023-4-05], Available at SSRN: https://ssrn.com/abstract=4970279 or http://dx.doi.org/10.26565/2786-4995-2023-4-05

Olesia Suntsova (Contact Author)

State Tax University ( email )

National University of Food Technologies ( email )

68 Volodymyrska str.
Kyiv, 01601
Ukraine

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