Climate change is already having a negative impact on agricultural production in Russia, especially grain production, since this sector is perhaps the most dependent on weather and climate factors. This report presents an economic evaluation of the impact of climate change on crop production at the national level and a long-term economic evaluation of the losses, profits, and risks for agriculture throughout Russia. It analyses the situation in the two the major agricultural regions, where the negative effects of climate change are especially pronounced, and examines the prospects for adapting Russia’s agriculture to climate change
This paper is dealing with the disciplinary history of the rural economics in France between 1955 and 1985 which mark respectively the beginning of its institutionalization and a radical turning point in its development. I analyze the conditions of the emergence and evolution of this specific form of knowledge within a public research institution emphasizing the important role of science policy in the organization of knowledge in the second half of the twentieth century. This perspective suggests a link between intellectual development and institutional configuration in the transformation of rural social sciences. Changing conceptions of the public utility of social science and recent efforts of internationalization of academic institutions not only introduce new institutional practices, but lead to the complete reconfiguration of rural disciplines
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.