Methodical approaches to forecasting of regional innovative processes

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We need to determine accurately target reference points and to give an assessment of the perspective directions for implementation of economy's successful transition on the innovative way of development. In this regard, it is necessary to use flexible and optimum tools of economic processes’ forecasting. The author considers the main methodical approaches to forecasting of social and economic processes. It is revealed that the effective tools when developing the forecast of socio-economic indexes are the econometric models based on statistical data. The paper presents the comparative indicators of innovative development of the Republic of Buryatia and subjects of the Siberian Federal District. The analysis and the forecast of innovative production volume are constructed with the help of the regression analysis and analysis of temporary ranks on the example of the Republic of Buryatia. It reveals the factors affecting the increase in the production of innovative items in the region. The conclusions are generalized.

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Forecasting methods, forecast of innovative development, econometric modeling, regression analysis

Короткий адрес: https://sciup.org/142143250

IDR: 142143250

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