Sustainable development of Baltic agriculture: Russia
This paper presents the problem of interdependence and interconditionality of the concepts "sustainable tourism" and "sustainable development of tourism". The relevance of the topic chosen is associated with the problem of sustainability of tourism development in the conditions of global instability as the modern tourism is a rapidly developing social and cultural phenomenon which dynamics is based on a system of human interaction with the world. Being in the center of the research field, tourism is related to the modern global processes and is hardly exposed to their influence that is reflected in the change of its qualitative and quantitative characteristics. The tourism being one of the steadily developing branches of the world economy is the industry almost in all countries that has valuable potential opportunities in terms of creating a different kind of economic interests, and attracts more and more attention. The potential opportunities of tourism include: improving balance of payments, access to new investment resources, the increase in state revenues, creation of new jobs, development of public utilities, and others. The paper provides an overview of the literature on the issue of sustainable development of tourism. We give the principles and indicators for sustainable tourism development. The carried out analysis allowed us to determine some of the basic principles of sustainable tourism development taking into account the conceptual arguments in favor of development, sustainable development, and sustainable tourism development.
The main research objective of this study is to examine how two popular concepts – human security (HS) and sustainable development (SD) – interact with each other in the case of policy making on and implementation of developmental strategies of industrialized centers of the Arctic Zone of the Russian Federation (azrf). There are three specific purposes to this analysis: first, to evaluate the scope and focus of sustainable development strategies (including environmental programs) that are implemented by azrf cities, such as Arkhangelsk, Monchegorsk, Murmansk, Nickel, Norilsk, Salekhard, Severodvinsk, Vorkuta, and so forth; second, to find out whether these strategies are efficient or not and whether they improve the situation with regard to human security or not; and third, to understand whether these policies are of short-term/single-issue character or represent forward-looking strategies that are conducive to the sustainable socio-economic and environmental development of the northern urban areas.
Importance and Methods Article is devoted to revealing the author's approach and methodological tools to measure sustainable development of industrial enterprises. Proposed combination of static and dynamic approach significantly expands the possibilities of methodical evaluation, allowing more deep justification of the pattern of management solutions on sustainable development of industrial enterprise.
Results The article presents the results of testing the author's methodological tools on the example of three industrial enterprises of Perm. The authors calculated the individual indicators of sustainable development at the economic, environmental and social spheres, and then defined their static reference values, and then, in dynamics, calculated the rate of change and built dynamic standards with their use. Then the calculation was made on group static and dynamic indicators for each area and integrated static and dynamic indices. Combining static and dynamic evaluations allowed displaying the pattern of each company’s position in the matrix of complex evaluation of the level of sustainable development of industrial enterprise.
Conclusions The research has shown that the positions of the analyzed companies are concentrated in the quadrant of the matrix, which is characterized by a balanced tempo characteristics in dynamics, it also revealed discrepancies between the actual values of indicators and their normative (or recommended) values in static. To overcome the situation, management decisions need to be made to improve the indicator values, to bring them to the normative level, while maintaining balanced tempo characteristics of the indicators over time. Each of the investigated companies has been proposed a number of practical recommendations, briefly reflected in the present article.
Nowadays, one of the most imminent problems facing power systems in post-industrial countries is the sustainable development of power systems under conditions of increasing power consumption irregularity due to the reduction of the industry’s share in consumers’ demand for electric power. In today’s Russia, this issue is becoming very acute due to the significant share of electric power and heat co-generation that is demonstrating low manoeuvrability and poor adaptation to operations in the daily variation of electric power demand. This paper considers the problem of improving the power system steady-state through the optimization of the production structure of thermal power plants. We propose a combinatorial algorithm that improves the planning of the structural and technological modernization of the power equipment configuration, with a glance at the forecast of the increasing irregularity of power consumption.
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.