- •Innovation in the macroeconomic regulation methods
- •Volvich Leonid, group 505
- •David Willetts, Vince Cable, Innovation and research strategy for growth, 2011.
- •VitalyTupchienko, macroeconomic control of innovation activity, Change of Leader, vector of change, pp. 42-49, 2015.
- •Xu Jiuping, Yao Liming, Lu Yi, Innovative Approaches Towards Low Carbon Economics, Regional Development Cybernetics, 2014.
- •Frederic s. Mishkin, Simulation Methodology in Macroeconomics: An Innovation Technique, The University of Chicago Press, Journal of Political Economy, Vol. 87, No. 4 (Aug., 1979), pp. 816-836.
- •Hulya Ulku, r&d, Innovation, and Economic Growth: An Empirical Analysis, imf Working Paper, Research Department, September 2004.
- •I. Main macroeconomic challenges in the Russian economy
Innovation in the macroeconomic regulation methods
Volvich Leonid, group 505
List of literature
David Willetts, Vince Cable, Innovation and research strategy for growth, 2011.
VitalyTupchienko, MACROECONOMIC CONTROL OF INNOVATION ACTIVITY, Change of Leader, VECTOR OF CHANGE, pp. 42-49, 2015.
Xu Jiuping, Yao Liming, Lu Yi, Innovative Approaches Towards Low Carbon Economics, Regional Development Cybernetics, 2014.
Frederic S. Mishkin, Simulation Methodology in Macroeconomics: An Innovation Technique, The University of Chicago Press, Journal of Political Economy, Vol. 87, No. 4 (Aug., 1979), pp. 816-836.
Hulya Ulku, R&D, Innovation, and Economic Growth: An Empirical Analysis, IMF Working Paper, Research Department, September 2004.
David Willetts, Vince Cable, Innovation and research strategy for growth, 2011.
https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/32450/11-1387-innovation-and-research-strategy-for-growth.pdf
Abstract: The art focuses on recent results from innovation economics, recent policy-related studies, and new innovation data. Whilst innovation is the central source of economic growth, it is also changing its scope and forms. This article Investigates innovation as a system and looks at policy challenges of facilitating to social capital flows, maintaining a high-grade quality of infrastructure, supporting business investment in conditions of uncertainty, and building an innovation public sector.
VitalyTupchienko, macroeconomic control of innovation activity, Change of Leader, vector of change, pp. 42-49, 2015.
http://www.inesnet.ru/article/makroekonomicheskoe-regulirovanie-innovacionnoj-deyatelnosti/
Abstract: The article presents the macroeconomic regulation as a method of economic management, where the control center — the state does not need to study and to evaluate any slightest impact on the system, to give indications to the system elements how to react to it. The paper analyzes major challenges associated with implementation of innovation potential. The main trends of developing innovation potential of Russia are described.
Xu Jiuping, Yao Liming, Lu Yi, Innovative Approaches Towards Low Carbon Economics, Regional Development Cybernetics, 2014.
http://www.springer.com/gp/book/9783642454288
Abstract: A “hybrid” is introduced to provide an innovative, trans-disciplinary approach to low carbon economics, including aspects such as control, learning, cognition, adaptation and emergence.A series of successful application cases have been predicted for regional low carbon development and many useful policy recommendations are also provided by practical research, helping policymakers to draw up plans for regional low carbon development.
Frederic s. Mishkin, Simulation Methodology in Macroeconomics: An Innovation Technique, The University of Chicago Press, Journal of Political Economy, Vol. 87, No. 4 (Aug., 1979), pp. 816-836.
http://www.jstor.org/stable/1831009?seq=1 - fndtn-page_thumbnails_tab_contents
Abstract: This paper discusses a simulation procedure where innovations from time-series processes are used in conducting simulation experiments with macroeconometric models. A particular theoretical example using the term structure of interest rates is studied here, along with actual simulation experiments using a large macroeconometric model. This analysis illustrates the advantages of simulating with innovations and the extent to which more standard simulation procedures lead to misleading results. The innovation-simulation technique can be used to provide information on the response of the economy to shocks, even when the macroeconometric model is not invariant to policy changes. Policymakers might find such information to be quite valuable.
