This is a collection of works prepared by the participants of the 2011 Summer School "Creative Industries and a Creative Economy: Developing Academic and Applied Interdisciplinary Research and Projects" - fellows of the Oxford Russia Fund and project experts. Texts gathered together here will be of interest and useful to anyone who would like to become further acquainted with the theories and practices of creative industries and the creative economy, and will help paint a clearer picture of what is happening both within Russia and abroad.
Purpose – The purpose of this paper is to introduce findings of comparative analysis and various models based on cultural heritage resources to foster regional development.
Design/methodology/approach – Comparison of operational schemes, market positions and branding of three successful cultural heritage centers in Germany, Great Britain and Russia demonstrates a variety of regional development models based on cultural resources and tourism development, and reveals their advantages and disadvantages.
Findings – The paper evidences the potential of cultural resources and the tourism sector as drivers for regional development, and helps formulate basic recommendations for the Russian situation requiring elaboration of adequate financial and social instruments.
Originality/value – The paper provides a complex analysis of different operational models in three European countries with regard to specific national situations and specificity of heritage operational management.
The author considers the distinctive features of human factor in the innovation process management at industrial enterprises. He focuses on the cognitive and functional competences of a successful innovation manager. The basis of modern economy is involving creative activity in economic usage. Today in the struggle for the consumer acquisition of competitive advantages is impossible without building up the innovation environment at the enterprise, the essence of which lies in the commercialization of innovation activity.
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.