Административные процедуры в области внешнеторговой деятельности
In the article the theory of schedule, which the author offers to use for the optimization of logistic management of investment activity, is discerned.
One of the measures implemented as a part of administrative reform in Russia was the introduction of administrative procedures — special rules for providing government services that specify the process, the timing, the sanctions, etc, which can be used by bureaucrats for coordinating their activities, and by their principals (higher ranking bureaucrats and citizens) to control their agents. The main idea behind the administrative procedures was to increase the transparency of bureaucracies that provide government services, to simplify the control over bureaucrats, to prevent corruption, and, consequently, to increase the quality of government services. But after a few years since the introduction of administrative procedures we still face the problem of low accountability of bureaucrats. Thus, the main goal of the paper is to show whether administrative procedures can solve the problem of bureaucrats’ opportunism, and if they can, what are the key determinants of their effectiveness. To answer the question we provide two simple models of interaction between bureaucrats and citizens, and bureaucrats of different ranks, and describe the links between the models, to show how the introduction of administrative procedures influences the outcome of the interaction between the agents. We also define the set of parameters that can make administrative procedures a real means of control over bureaucrats and thus lead to better quality of government services.
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.