Total Factor Productivity and Social Cooperation: Theoretical Framework and Tentative Empirical Analysis
The paper discusses social aspects of higher education institutions engagement with their regional communities. On the basis of the cases of the Russian Siberian and Southern Federal Universities the author analyzes practices and formats of their interaction with different regional stakeholders as part of the FUs' social function implementation. The FU's capacity to enhance their third mission is assessed. The author suggests a set of indicators to assess universities social activities impact on development of the regions, and puts forward recommendations on building the federal universities capacity for fulfilling their third role. The paper is prepared within the framework of the Ministry of Education and Science project "Organizational and analytical support to the national priority project "Education" on activities aimed at "Development of Federal Universities", carried out by the National Training Foundation.
Thе author analyzes the legal aspects of BRICS` functioning and of the Declarations of Heads of State and Government of the BRICS countries, adopted at the summits, particularly of the Declaration of 2013. Special attention is paid to the perspectives of the common work of lawyers to elaborate legal ways to provide the BRICS countries cooperation.
The article considers the issues of business competition and cooperation. There presented the market type matrix based on «cooperation-competition» criteria. The concepts of competition marketing and relations with competitors are defined. The concept of marketing communications is specified. The analysis of the main methods of cooperation is carried out.
The Arctic Yearbook is the outcome of the Northern Research Forum (NRF) and UArctic joint Thematic Network (TN) on Geopolitics and Security. The TN also organizes the annual Calotte Academy. The Arctic Yearbook seeks to be the preeminent repository of critical analysis on the Arctic region, with a mandate to inform observers about the state of Arctic politics, governance and security. It is an international and interdisciplinary peer-reviewed publication, published online at https://arcticyearbook.com/ to ensure wide distribution and accessibility to a variety of stakeholders and readers.
This book constitutes the proceedings of the Workshops held at the International Conference on Social Informatics, SocInfo 2014, which took place in Barcelona, Spain, in November 2014. This year SocInfo 2014 included nine satellite workshops: the City Labs Workshop, the Workshop on Criminal Network Analysis and Mining, CRIMENET, the Workshop on Interaction and Exchange in Social Media, DYAD, the Workshop on Exploration of Games and Gamers, EGG, the Workshop on HistoInformatics, the Workshop on Socio-Economic Dynamics, Networks and Agent-based Models, SEDNAM, the Workshop on Social Influence, SI, the Workshop on Social Scientists Working with Start-Ups and the Workshop on Social Media in Crowdsourcing and Human Computation, SoHuman.
The article reviews the development of Soviet psychology at the beginning of the 20th century and its contemporary school viewed through the prism of thriving global psychology. The development process is considered to be influencing the establishment of operational approach in Soviet education.
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.