This electronic monograph is divided into five chapters. The first chapter presents a general description of each chapter respectively. The second chapter introduces a new economic simulator in the case of a war, this new economic simulator is entitled “The Post-War Economic Impact Simulator (PEI-Simulator).” The PEI-Simulator assesses the economic impacts of countries thorough the possible scenario of a partial or full war in three different stages: (i) pre-war stage; (ii) war stage; (iii) post-war stage. The analysis makes use of different indicators such as economic desgrowth from war (-δwar), war intensity (I), war losses (-Lwar), economic wear from war (Πwar), level of war tension (Twar), level of diplomatic negotiations (D), and the total economic leaking from war (Ωwar). Lastly, this research apply the PEI-Simulator to evaluate a possible full war between Russia and Ukraine In this book, the third chapter shows an alternative method to evaluate the impact of Russian and Ukrainian war on the international trade and investments volumes between Russia and European Union (EU). More specifically, we develop a new method, namely the Intra-regional Trade Disruption from War Simulator (ITDW-Simulator). The main idea behind to propose the ITDW-Simulator is to propose a series of new indicators to evaluate trade and investments disruption from war, including the final trade suffocation index (Ts-Index) and the final trade and investment desgrowth from war function (-δw function). Performing the ITDW-Simulator first requires measuring the Ts-Index. Second, we need to calculate the -δw function based on measuring four -δw sub-functions- for example, agriculture sector exports, industrial and manufacturing sector exports, service sector exports, and FDI flows mobility. The measurement of the four -δw sub-functions can show the trade and investment dependency between Russia and the European Union trade among both regions. Finally, we apply the ITDW-Simulator to the Russia-Ukraine war and its impact on the European economy. The fourth chapter will present different simulations to observe the final impact of a armed conflicts between the Russia and Ukraine and its impact on the world oil prices behavior. The main objective of this book is to evaluate different levels of armed conflicts intensity and oil prices behavior from a multidimensional perspective. This simulator evaluates different scenarios of armed conflicts and oil market prices behavior through the construction of a complex algorithm and multidimensional coordinate spaces (Ruiz Estrada, 2017). This new simulator is entitled "The Armed Conflicts Impact on Oil Crisis Simulator (TACIOC-Simulator)". The objective of the TACIOC-Simulator is to offer policy-makers and researchers a new analytical tool to study the impact of armed conflicts on oil prices. The TACIOC-Simulator, in effect, is a simple and applicable scheme. Finally, this research shows the results obtained in the application of TACIOC-Simulator in different armed conflicts scenarios between the Russia and Ukraine. The period of study is from 1982 to 2022 and the reason to select this short period is to observe the constant armed tensions that always exist between the Russia and Ukraine respectively. The fifth chapter introduces a new macroeconomic indicator that is entitled “The Economic Desgrowth Chains (-δchains), Therefore, the “-δchains” are built by the total sum of a large number of economic desgrowth rates (∑-δi) under different countries represented by “i”. Subsequently, (∑-δi) is divided into the total economic desgrowth rates (countries) in analysis (n). We got (∑-δi/n), where i = {1, 2,…,∞+} thus i ≠ 0 or ℝ-). Hence, the economic desgrowth chains (-δchains) are based on the integration of a large number of economic desgrowth rates according to -δChains = ∫f((∑-δi/n)di = lim ∫f(-δi/n)di. The economic desgrowth Chains (-δchains) construction request five basic steps followed by: The first step is to find the total economic leakage (-∏total) that is equal to the difference between the final GDP growth rate annually (αfinal) and the forecast GDP growth rate annually (αforecast). The second step is the calculation of each economic desgrowth rate (-δi) that is using the forecast GDP growth rate annually (αforecast) and the total economic leakage (-∏total) in its calculation. The third step is the calculation of the Total Economic Losses (-Ltotal) that is using only the economic losses determinant –ΔH. Additionally, the calculation of –ΔH is based on a matrix 3x3 that keeps nine different economic leaks represented by (i) the stock market losses leak (L1); (ii) international trade leak (L2); (iii) unemployment leak (L3), (iv) inflation leak (L4); (v) exchange rate devaluation leak (L5); (vi) immigration leak (L6); (vii) war economic leak (L7); (viii) pandemics economic leak (L8); (ix) oil prices economic leak (L9). The fourth step is the calculation of the economic desgrowth Chains (-δChains) that we are using all economic desgrowth rates to consolidate a single result. The fifth step is the visualization of the Economic Desgrowth (-δi) and the Economic Desgrowth Chains (-δchains). Finally, we applied the economic desgrowth Chains (-δchains) in the case of the Russo-Ukrainian war. Finally, the sixth chapter shows a new methodology to observe mathematically and graphically the vulnerability of the world economy in case of a pandemic (COVID-19) or war (Russian-Ukraine War). The main objective of this research is to evaluate the economic damage levels generated from war or pandemics in the short run. The economic damage in this research is taking form in the shape of a possible production collapse, trade dispute, investment disruption, energy shortage, or financial crisis. This chapter assumes that the world economy always is influenced by five global forces' behavior simultaneously. These are the economic global forces behavior; social global forces behavior; political global forces behavior; technological global forces behavior; natural global forces behavior. Hence, the five global forces behavior. These five global forces' behavior keeps a constant interaction and change qualitative and quantitatively together in time and space. At the same time, the five global forces' behavior always has a strong influence on the world economy's vulnerability without any constraints. Finally, we will evaluate how much economic damage can generate the COVID-19 and the Russian-Ukrainian war on the world economy. The seventh chapter evaluates the impact of any armed conflict on the economic performance is obviously substantial, but measuring such impact to get a sense of the intensity of its effects on inflation and unemployment is subject to a great deal of uncertainty. As such, this chapter primarily attempts to close this gap by introducing the war economic destruction level simulator (WEDL-Simulator), a new economic method that could be used to evaluate the impact of an armed conflict on inflation and unemployment simultaneously. Based on five key indicators, the WEDL-Simulator considers and draws its assessment from different focuses of analysis to evaluate the Russo-Ukrainian economic damage. Hence, in this article, the world economy was used to illuminate and illustrate the applicability of the WEDL-Simulator from where analyses provide a coherent evaluation of the degree to which the Russian invasion on Ukraine negative economic effects on the world inflation and unemployment respectively. The last chapter is the eight chapter, this chapter intends to establish conceptual foundations for analyzing the economic dimensions of a territorial military conflict. The Intraregional Trade Disruption from War Simulator (ITDW-Simulator) attempts to estimate the heterogeneous macroeconomic effects of the military conflict. The model suggests two primary indicators and four secondary indicators. The final trade suffocation index (TS-Index) and the final investment desgrowth from war function (−) measure trade disruption's potential impact on international trade patterns and economic development. The agriculture exports, industrial and manufacturing exports, service exports, and FDI flows capture the trade and investment interdependency. The model investigates the impact of the Russo-Ukraine military conflict on the bilateral trade and investment between the Russian Federation and the European Union.
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