МОДЕЛИРОВАНИЕ ВЛИЯНИЯ ПРАВИЛА РАСПРЕДЕЛЕНИЯ ОБЩЕСТВЕННОГО РЕСУРСА НА ЭФФЕКТИВНОСТЬ
The study has two major focuses. The first one is of a methodological kind: we investigate the capabilities of a formal dynamic model to link theory and empirical estimation techniques. The other one is much more specified: we deal with the problems of public good provision and public capital accumulation and depreciation. Tying it all together, we demonstrate how formal theory can adjust the evaluation of public investment efficiency.
The first part of the paper presents the dynamic formal model construction. The core of it is Cobb-Douglas production function with public and private capital as input factors. Public capital stock is increased by budget investment inflow. A set of parameters which regulate system’s efficiency enters the model. They are total factor productivity, public investment effectiveness and the efficiency of public assets’ maintenance and utilization. We also define a special policy space of the model.
In the major part of the paper we examine the data, generated by various models with different efficiency parameter values, via Data envelopment analysis (DEA). We demonstrate that the best estimates are obtained when we use cumulative inputs (the sum of budgets investments over a few time periods). Thus we show that dynamic formal model analysis can make a practical contribution to estimation techniques’ “fine tuning”.
The articles in this collection are written on the basis of reports made in 2013 at the sociological faculty of Moscow State University M.V. Lomonosova at the annual meeting of the XVI Interdisciplinary Scientific Seminar "Mathematical modeling of social processes" named Hero of Socialist Labor Academician A.A. Samarskogo.
The publication is intended for researchers, teachers, students, universities and research institutes Russian Academy of Sciences with an interest in the development and implementation of the methodology of mathematical modeling for the study of social processes.
The book presents a broad interdisciplinary view comcerning different aspects of civil service reforms in several countries, including Russia, in the context of transformation of role of state and character of its relations with civil society, what is taking place now in the leading coutries of the world. The main historical concepts of bureaucracy and contemporary searches new (post-Weberian) model of it are considered In the first - theoretical - part of book. The second part is devoted to inter-countries' comparative analysis of history and modern condition of civil service in Creat Britain, USA, Canada, France, Germany. The final section in each countries' paragraph is "The lessons for Russia". The subject of the third part is the Russian bureaucracy in historical and contemporary aspects. The American, English, Canadian, Rfzakh and Russian codes of civil servants' conduct applied to the monograth.
The collapse of the socialist system prompted the former USSR countries to “re-invent” their stateness. The paper focuses on factors that impede or smooth stateness transformations in post-Soviet countries. First, the paper examines internal and external factors of state formation in selected countries. Next, it introduces empirical research tools and empirical findings that present alternative patterns of stateness and outcomes of state formation. The paper concludes with a detailed review of certain cases that may be considered prototypes of state formation for post-Soviet countries.
Process-aware information systems (PAIS) enable developing models for interaction of processes, monitoring accuracy of their execution and checking if they interact with each other properly. PAIS can generate large data logs that contain the information about the interaction of processes in time. Studying PAIS logs with the purpose of data mining and modeling lies within the scope of Process Mining. There is a number of tools developed for Process Mining, including the most ubiquitous ProM, whose functionality is extended by plugins. To perform an object-aware experiment one has to sequentially run multiple plugins. This process becomes extremely time-consuming in the case of large-scale experiments involving a large number of plugins. The paper proposes a concept of DPMine/P language of process modeling and analysis to be implemented in ProM. The language under development aims at joining separate stages of the experiment into a single sequence, that is an experiment model. The implementation of the basic semantics of the language is done through the concept of blocks, ports, connectors and schemes. These items are discussed in detail in the paper, and examples of their use for specific tasks are presented ibid.