Academic journal article Contemporary Readings in Law and Social Justice

Identifying Social Order Subtle Risks and Threats as Vulnerabilities of National Security Program

Academic journal article Contemporary Readings in Law and Social Justice

Identifying Social Order Subtle Risks and Threats as Vulnerabilities of National Security Program

Article excerpt

1. Introduction. About Other Risks and Their Implications in Development

The interdependencies and complex structuring of economic behavioral characteristics of any open market remain the focus points for social and military theories and discussions (Vasile et al., 2012). The modern shape of complex economic interests and interactions may generate similar scenarios at different levels - social, societal and military - with strong impacts on market potential, the living standard and costs, on management decisions for building a better and safer national and regional strategy of collaboration and development.

The policymakers keep themselves engaged in struggles regarding the best way to abolish the negative manifestations of the markets. Nevertheless, some industries, due to the relatively small number of companies, homogeneous products and high establishment costs are prone to such outcomes and need special attention and regulation.

The policy for competition usually applies to industries or those economic sectors where structural conditions are compatible with the normal performance of competition (Vasile et al., 2012) and collaborations for market and society stability. Alternatively, regulations relate to special sectors, such as military, regularization and fiscal policy are structured in a manner that bring national or regional limitations to competitive forces. Such analyzes perform different scenarios that mostly carry out the agent models' role, having the regulatory authority as main actor.

When accepting to lead the destinies of nations, political leaders must realize the importance of the legacy left by predecessors and understand correctly the advantages or disadvantages of their country's position in the world. In 1907, Lord Curzon said that "Frontiers are indeed the razor's edge on which hang suspended the modern issues of war or peace, of life or death to nations" (Curzon, 1907: 7). One hundred years later, it seems that this statement fits as well.

The economic challenges of modern states rely on the way the international trade is facilitated to produce welfare while protecting citizens from crime and terror related modern penetrable borders.

The use of economic models (Angheluta and Costea, 2010: 23) to improve military strategies is not simple, because only limited and small variables are taken into account within any logistic network.

Too many data around do not provide enough correct information to build stable systems by proper decisions. Therefore, economic and mathematic calculus is necessary to assist us in bringing some contribution in understanding the processes dynamics when a distribution model considers distance, timing, and demand intensity of facilities. Quantitative measures of determining the incentives for behaving competitively or cooperatively have been developed during the last century through the advent and ongoing expansion of game theory models (Vasile et al., 2012). The dynamics of market competition and cooperation has been addressed in previous studies by using different models and describing various reward components as illustrated by the traditional or specific causes. The general traditional causes common to the previous international economic crises are excessive lending and collaterals; unprecedented increase in the cost of assets; uncontrolled loans granted to business entities of questionable creditworthiness, the lack of consideration in analysis of the private debts. Among the specific causes we consider the following: the expansion and depth of subprime credits crisis with strong cumulative reverse financial imbalances; the extremely appetite from the financial sector and from other sectors entailing the high and artificial increase in the highly risky asset demand with no support in the real economy, leading to the so-called bubbles; the ex-ante ignorance and ex-post uncertainty on the securitiesrelated risks, mortgages, derivatives and various credit-default swaps (Keen, 2001: 45) categories; unjustifiably high income of some highly positioned decision makers compared to other people; dysfunctions in the activity of various international rating agencies incapable of early warning or foreseeing the bankruptcies and the banking crises as well as the risk of the government debt exceeding the acceptable level (Brauch, 2011). …

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