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TERRA ECONOMICUS

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  • 2013
  • No 1.3
  • The problem of estimation of the multiplicative effects from investment in industry

The problem of estimation of the multiplicative effects from investment in industry

TERRA ECONOMICUS, , Vol. 11 (no. 1.3),
p. 28-34

In this paper, based on the construction of models with distributed lags evaluated multiplicative effects of investments in various sectors of Russian industry and draw conclusions about the effectiveness of the investment process from the point of view of creating synergies and positive feedbacks in the economic system. The economic slowdown in the global crisis and persisting in the economy of the advanced countries of the world, the impetus to rethink the global scientific community, many mainstream economics postulates that dominated neoliberal public consciousness over the past decades. This is, first of all, touched popular in the early 2000s, the concept of post-industrial society, the formation and development of which was to «answer» to the rapid development of the intangible economy in the richest countries in the world that produces intangible benefits - information, knowledge, and even the «impressions», «meaning», etc. However, as practice shows, the 'knowledge economy' is currently not self-sufficient, and relies on industrial and technological might of the industrialized regions of the world. The greatest effect on the development of innovation occurs where there are opportunities for commercial development of innovations. Offered tools to improve the state's industrial policies aimed at monitoring the effectiveness of investments. Without this, all efforts to artificially stimulate innovative activity, the infinite perfection of methods and approaches to innovation processes and the creation of new institutions to support innovation, hampered by lack of demand for immunity and low-tech industries with a high proportion of low-skilled cheap human labor to technical newest, requiring for their development of significant volumes of high-risk investments.


Keywords: industrial policy; investment; investment process; multiplier effect; modeling; time series; models with distributed lags; monitoring investment performance

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Publisher: Southern Federal University
Founder: Southern Federal University
ISSN: 2073-6606