Информатизация и электронное правосудие в деятельности Конституционного Суда Российской Федерации
The book containts articles written by European scholars about the place of socio-economic rights in the modern democracies. The introduction is written by Wiktor Osiatynski, who analyses the confusing concepts of socio-economic rights.
In the article its author is engaging in polemics with those alleging the incompatibility of a real competence of the Secretariat with its competences set up by the Law on the Constitutional Court of the Russian Federation. The article argues that the existing model of dealing with applications not only does comply with the law in force, but is also the most reasonable from the point of view either of the guarantees of the applicant’s rights and lawful interests or of the organization of work of the Court itself.
The article contains analysis of the practice of the Russian Constitutional Court on protection of socio-economic rights.
This chapter explores Russia’s implementation of the national e-government strategy and information policies. . Based on official, national strategic documents and a number of e-government cases that highlight different projects at the federal and regional levels, we outline the formidable barriers and idiosyncrasies of managing e-government development in Russia.
This paper is dedicated to the establishment of inclusive legal method in the system of intellectual property rights in terms of information economy.
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.