Детерминанты розничных цен на нефтепродукты в России
This chapter shows a transition from free competition to oligopoly in the late XIX - early XX century. Analysis of the second industrial revolution and its implications for the development of the scientific organization of labor, production and management is done. The struggle of economic trends (historical school, the Austrian School, American institutionalism) is shown.
We study Bertrand competition models with incomplete information about rivals' costs, where uncertainty is given by independent identically distributed random variables. It turns out that Bayesian Nash equilibria of the simplest of these games are described as Cournot prices. Then we discuss general conditions when Cournot prices give Bayesian Nash equilibria for Bertrand games with incomplete information about rivals' costs.
The article considers the processes of progress in production and service sectors and answers the question how and thanks to what service sector of Russian economy left the productive one behind (concerning contribution in GDP of our country). The rates of development of service sector turned out to be so high firstly - as a reason of peculiarities of new Russian economy, which historically was built on the market principles and was developing in conditions of investment resources deficit, secondly - as a reason of system differences between «physical» goods and services as an object of sale. Nowadays Russia faces an unusual symbiosis: effective service companies, operating in hard competitive sphere with average profitability and non-affective from the point of management industrial companies, which thanks to monopolistic pricing have great profitability, providing profits of Russian budget and determining a macroeconomic situation.
We address the external effects on public sector efficiency measures acquired using Data Envelopment Analysis. We use the health care system in Russian regions in 2011 to evaluate modern approaches to accounting for external effects. We propose a promising method of correcting DEA efficiency measures. Despite the multiple advantages DEA offers, the usage of this approach carries with it a number of methodological difficulties. Accounting for multiple factors of efficiency calls for more complex methods, among which the most promising are DMU clustering and calculating local production possibility frontiers. Using regression models for estimate correction requires further study due to possible systematic errors during estimation. A mixture of data correction and DMU clustering together with multi-stage DEA seems most promising at the moment. Analyzing several stages of transforming society’s resources into social welfare will allow for picking out the weak points in a state agency’s work.