Мировое сообщество перед лицом новых структурных проблем системы международных отношений после саммита в Копенгагене
Global climate change entails both threats and new opportunities for social and economic development of the Altai-Sayan Ecoregion. Taking into account the scale of climate change forecasted for the ASE, the importance of Altai-Sayan as one of the world’s biodiversity hotspots as well as an important role assigned to the region in strategic plans of Russia’s economic development, the need to develop regional measures of adaptation to both negative and positive impacts of climate change raises no doubts. In particular, climate change is referred to as a new determinant of development and a security challenge to Russia and its regions in such strategic documents as: the RF Environmental Doctrine (2002), the RF Long-Term Social and Economic Development Concept for the period to 2020 (2008), the RF Forest Complex Development Strategy for the period to 2020 (2008), the RF National Security Strategy for the period to 2020 (2009), the RF Climate Doctrine (2009), the Energy Strategy of Russia for the period to 2030 (2009), the RF Food Safety Doctrine (2010) and the Strategy of Social and Economic Development of Siberia for the period to 2020 (2010).
The particularities of American political system impede the progress of US climate change regime at the federal level. The only possible way to create the comprehensive system of climate change regulation in the USA is thereby the bottom-to-up scheme proceeding from the diverse green initiatives at the level of firms, communities and states.
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.