О кластерном механизме промышленной политики в региональных отраслевых комплексах (на примере формирования территориального лесопромышленного кластера Ханты-Мансийского автономного округа – Югры)

Abstract

In the world and national scientific literature, industrial policy is recognized as one of the key elements of economic policy. In the practice of the government, an active industrial policy is seen as an important factor to increase the competitiveness of the industry, its branches and individual businesses. Sectoral aspect of industrial policy is significant in terms of the diversification of the industrial potential of the territories, the development of small and medium-sized businesses, as well as providing employment. In practice and in theory it offers a variety of mechanisms for the implementation of industrial policy, including cluster mechanism, which has shown to be highly effective in the past two decades, especially at the regional level. The Russian timber industry is not structure-forming sector of the economy. At the same time, this industry has a significant impact on the prospects of economic development of number of regions, and is practically non-alternative basis for the economic development of many municipalities, remote settlements, towns and villages, being the only employer in such territories. In addition, timber industry can play a significant role in the diversification of the regional economies of monospecialized areas to which it relates and the Khanty-Mansiysk Autonomous Okrug – Ugra. In this regard, given the relevance and importance the problem of efficiency increase of the sectoral industrial policy as a whole, and in the context of timber industry in particular, the authors analyze objectively established prerequisites for the formation of the territorial timber industry cluster in the Khanty-Mansiysk Autonomous Okrug – Ugra. Next, the developed regional industrial policy tools for creation and development of a sectoral cluster in the timber industry are considered and conclusions about the expected positive economic effects are made.