Экономика природопользования: российская экологическая политика. Труды (отдельное издание) XII Всероссийской конференции "Теория и практика экологического страхования"
The article present of a model of sustainable development of the largest companies in the region and in the territory. The model allows evaluating the sustainable character of a company's development through comparison of the planned and real data, and to discover its non-balanced dynamics.
The article discusses the issues of sustainable development. The implementation of the sustainable development concept involves the integration of different levels of government and bringing the approach to the level of business and individual projects.A company may have a different degree of economic stability, the measurement of which can be accomplished through the analysis of the cost structure of the product sold, including the costs of maintaining the environment. Evaluation of the project can be carried out taking into account the levels of initiation and levels of its impact on sustainable development. We propose a method of evaluation that allows taking into account all three aspects: economic, social and environmental.In the process of assessing the sustainability of the project it is advisable to take into account the full life cycle.The article shows how to take into account the parameters that characterize the activity and the product produced by the asset. By themselves, the project or the circumstances of its implementation could result in your loss of stability of the system in which it is located. It is recommended to evaluate the loss of stability in private terms, and as a whole for the project — based on the calculation of the integral indicator.
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.