Методический инструментарий формирования стратегических направлений регионально-отраслевого развития города
To establish a framework of strategic trends of regional and industrial development of a city system it is necessary to estimate the competitiveness level of the city and its industries. The authors present a method of assessment of the city’s competitiveness, based on the analysis of potentials available: economics, finance, labour resources, infrastructure, social sphere, demography. The level of development of certain types of economic activity (C, D, E) was estimated by the indicators of labour productivity, employment by economic activity and average monthly salary. The authors have created the “competitiveness of the city – sectoral interaction” matrix for the municipal system of the region. As a result of practical approbation they introduce the framework of strategic priority trends of regional and sectoral development of municipal system in Belgorod region in 2020–2025
In the present paper we consider the infl uence of limited time resources on the planning of territories. By specifi c example of one of the districts of Nizhniy Novgorod region it is shown how the limitations of political and economic factors change the trajectory of territorial development.
Paper is focused on pros and cons analysis of the existing approaches to competitiveness measurement. Illustrative example for Russia is shown. New competitiveness indicator is proposed.
Peculiarities of making of managerial decisions in modern business systems, predetermined by observation of the basic principles, are shown: constant monitoring of external environment for determining new possibilities and actual problems and determining the need for managerial decisions; founding on materials of marketing research, conduct of marketing communications for informing and supporting loyalty of interested parties in the process of implementation of decisions; and striving for increasing or at least preserving the uniqueness and effectiveness of business system during decision making (criterion of optimality of decisions).
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.