Forecasting recruitment needs of the Russian economy: Qualitative aspects

The article presents a new mechanism for translating labor market’s needs to the vocational education system that promotes the provision of long-term personnel requirements within the framework of the implementation of competence-based educational programs.     

Computer assisted text analysis in the social sciences

We use the term “Computer Assisted Text Analysis” in a broad sense to refer to a range of current techniques from quantitative social science and content analysis to ‘data mining’ and ‘text classification’, including the analysis of open-ended survey questions, transcribed interviews and speeches, wherever, in fact, the researcher is confronted with data in the form of natural language texts of social scientific interest. These methods are often used in exploratory data analysis, but can also be applied systematically with moderate statistical rigour in the development and testing of hypotheses at various theoretical levels, ranging from the statistics of word usage to changes within or between discourses over time. The general approach is in the tradition of content analysis, by which words which occur together in relatively close proximity in the same context are interpreted as relating to a common theme or concept in the discourse studied. We review a comprehensive set of tools to identify and visualize structures of co-occurrence of words and concepts both within, and in comparing, a number of texts. These produce results not essentially different from those reached by representing word co-occurrences in terms of network analysis or neural network programming using schematic linguistic templates of various kinds. A comparison of the relational data analysis vs. a dictionary-based MDS approach shows that these provide very close if not identical results, despite the fact that the underlying assumptions are frequently represented as different theoretical approaches.     

Growth in prices for mining products in the post-Soviet period and economic deindustrialization

In the context of growing prices for mining products aimed at achieving the world price level, economic deindustrialization occurs due to the changed proportions of the redistribution of natural resource royalties. The ways of the cross-sectoral redistribution of resource royalties and increase in their macroeconomic efficiency by changing forms of industrial production are discussed in the article.     

Arbitrage Free Price Bounds for Property Derivatives

Market frictions inhibit the perfect replication of property derivatives, and define the property spread as a price measure in the incomplete real estate market. We identify transaction costs, transaction time, and short sale constraints as the main frictions in this market. Based on these frictions, we set up a framework of arbitrage free price bounds for property derivatives. In turn, we use observed derivative prices to determine the implied cost of the frictions. Lastly, we verify these values by using other research, which confirms the accuracy of our framework.     

Learning creativity and design for innovation

This paper puts the case for using a pedagogical framework based on the principles of grammatical design in conjunction with conventional creative problem solving strategies in higher education to foster learning for innovation and creativity. It explores the design and delivery of an inaugural creativity and innovation course that used a combination of individual and group projects to explore the combinatorial use of creative problem solving strategies and grammatical design schemas. Using established creative thinking evaluation techniques and reflective practice journals offers a powerful path for the creative development of innovative ideas. Testing (Torrance, Creativity in the classroom, 1977) found that the figurative based creative thinking scores of an experimental group of non-designer undergraduate students significantly improved according to pre and post course tests. Two dimensional and three dimensional design assessment tasks were completed in conjunction with a series of creative problem solving teamwork sessions. Standard SELTS course evaluation also strongly suggests there is value in the active teaching of creativity strategies for the recognition of valuable problems and the development of innovative solutions.     

On Emissions Trading and Market Structure: Cap-and-Trade versus Intensity Standards

This paper examines the interdependence between imperfect competition and emissions trading. We particularly analyze the long run equilibrium in a two-sector (‘clean’ and ‘dirty’) model with Cournot competition among firms who face a fixed cost of production. The clean sector is defined as the sector with the highest long run cost margin on emissions. We compare the welfare implications of a cap-and-trade scheme with an emissions trading scheme based on relative intensity standards. It is shown that a firm’s long run equilibrium output in the clean or dirty sector does not depend on the emissions trading format, but only depends on the fixed cost of producing in the respective sector. Intensity standards can result in clean firms selling allowances to dirty firms, or dirty firms selling to clean firms. The former outcome yields higher welfare. It is demonstrated that cap-and-trade outperforms the intensity-based trading scheme in terms of long run welfare with free entry and exit. With intensity standards the size of the clean sector is too large.