Oligopoly control and unification of quantitative indexes to control different types of monopoly

Olexandr Bandura
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Abstract

The paper demonstrates the necessity and possibility to unify the controlling indicators for different types of monopoly (monopolistic competition, oligopoly, natural monopoly) in order to increase efficiency of the monopoly control. Especially this concerns the complex types of monopoly from the point of view of its control, for example, oligopoly. The complexity of this type of monopoly control is associated with the actual inevitability of the appearance of tacit pricing coordination among the oligopoly participants. And the problem is not so much in admitting that the very fact of such a coordination is difficult to prove as in defining the harm it causes to the market and the entire economy. This paper shows the possibility to use the quantitative indexes of monopoly control proposed based on author’s CMI-model of macroeconomic dynamics, to apply these indexes for various types of monopoly. A distinctive feature of this model is the possibility to calculate the vector of “natural” prices for any sector (i.e., the prices that correspond to the state of perfect competition even if it is impossible to reach this state in the existing markets). And the comparison of the actual market price with the “natural” one allows us to control a monopoly using the price indexes alone. In turn, it allows us to perform a monopoly control at various hierarchical levels of the economic system (a firm, an economic sector and economy as a whole). Such a control enables us to calculate the degrees of the monopoly impact both on the entire economy, and on its various sectors. Quantitative values of these degrees can be used as evidence in antitrust litigations and for choice of corresponding instruments to “punish” the monopoly for such abuses. The paper reveals the mechanism of use of the proposed formulas for determination of the monopolistic power and degree of its impact on economy and various economic sectors for the cases of oligopoly and natural monopoly. Also, this paper demonstrates the mechanism of the influence of antimonopoly policy on the configuration of business cycle and on economic growth rate (when other policies are neutral). This opens up the possibility to combine the antitrust policy with the anticyclical and fiscal ones, because, under recession, increased monopolistic power in an individual sector may help the whole economy get out of the crisis.
控制寡头垄断和统一控制不同类型垄断的量化指标
本文论证了统一不同类型垄断(垄断竞争、寡头垄断、自然垄断)的控制指标以提高垄断控制效率的必要性和可能性。从控制的角度来看,这尤其涉及复杂类型的垄断,例如寡头垄断。这类垄断控制的复杂性与寡头垄断参与者之间实际不可避免地出现默契定价协调有关。问题不在于承认这种协调的事实本身难以证明,而在于界定这种协调对市场和整个经济造成的危害。本文展示了在作者的宏观经济动态 CMI 模型基础上提出的垄断控制量化指标的可能性,并将这些指标应用于各种类型的垄断。该模型的一个显著特点是可以计算出任何行业的 "自然 "价格矢量(即与完全竞争状态相对应的价格,即使在现有市场中不可能达到这种状态)。通过将实际市场价格与 "自然 "价格进行比较,我们可以仅利用价格指数来控制垄断。反过来,这也使我们能够在经济体系的不同层次(企业、经济部门和整个经济)上进行垄断控制。通过这种控制,我们可以计算出垄断对整个经济及其各部门的影响程度。这些程度的定量值可作为反垄断诉讼的证据,并用于选择相应的手段来 "惩罚 "滥用垄断的行为。本文揭示了在寡头垄断和自然垄断的情况下,使用所提出的公式确定垄断力量及其对经济和各经济部门的影响程度的机制。此外,本文还展示了反垄断政策对商业周期配置和经济增长率的影响机制(当其他政策保持中立时)。这为将反垄断政策与反周期政策和财政政策结合起来提供了可能性,因为在经济衰退的情况下,个别部门垄断力量的增强可能有助于整个经济走出危机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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