The formation of industrial clusters aimed at the accelerated development of regions is a strategic priority for the Russian Federation. Today in the Russian Far Eastб priority social and economic development areas have been established; the Innovative Territorial Cluster of Aircraft Engineering and Shipbuilding (TCAES) operates in Khabarovsk Krai. The research of cooperation chains of the innovation cluster's anchor resident in the territory of advanced development made it possible to conclude that regional organizations play a small part in the value chain of hi-tech products. Their contribution, for the most part, is about the provision of labour resources, general infrastructure and the provision of services, primarily in construction, installation, and maintenance. At the same time, small innovative businesses under a state university situated in the territory of advanced development participate in the territorial innovative cluster. The research of the university's engagement with cluster participants made it possible to formulate a hypothesis on the higher education institution's cluster initiatives in the region. It has been proved that the establishment of small innovative businesses under a university helps to launch cluster initiatives in the production industry of a region. New demand emerges when there is engagement in the value chain; in order to meet that demand the participants of that engagement (the institution, first of all) conduct R&D and come up with innovative ideas that are later introduced into the production industry. The described processes help to understand the new role of higher education institutions in the management of regional development. The university is considered the centre of regional development that introduces education, research, and development activities into the curriculum. The creation of innovative infrastructure in territories of advanced development and business promotion can encourage the commercialization of scientific and technological ideas within a university. The goal of this research is to test the hypothesis on a higher education institution's cluster initiatives in an advanced development area. The authors examined the models of an institution's engagement with the cluster's production companies in the advanced development area using the example of Komsomolsk-on-Amur. The authors concluded that the hypothesis had been confirmed. Keywords-advanced development area, innovative territorial cluster, higher education institution, communicative engagement, cluster initiative.

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Аннотация. В работе представлен обзор методов прогнозирования социально-экономического развития, используемых при разработке прогнозов в муниципальных образованиях; раскрыты их особенности и целесообразность применения; проведён их сравнительный анализ в случае разработки прогнозов развития муниципального образования, а также на других территориальных уровнях, включая региональный. Предмет исследования: система прогнозирования социально-экономического развития муниципального образования. Цель исследования: анализ методов прогнозирования и их сравнение. Результаты работы: предложен алгоритм разработки прогнозов социально-экономического развития городского округа «Город Комсомольск-на-Амуре», обоснованы рекомендации по совершенствованию методического обеспечения социально-экономического прогнозирования. Область применения: прогнозирование социальноэкономического развития муниципальных образований. Таким образом, для разработки прогнозов в муниципальных образованиях и регионах наиболее распространена регрессионная математическая модель в части измерения количественной зависимости и влияния различных факторов. Summary. The paper reviews the methods of forecasting socioeconomic development used in developing forecasts in municipalities, reveals their features and expediency of application. The authors also conduct a comparative analysis in the case of forecasting the development of a municipal entity, as well as at other territorial levels, including regional ones. The subject of research is a system for predicting the socioeconomic development of the municipality. The purpose of the research is to analyze forecasting methods and their comparison. Results of work are the following: an algorithm for developing forecasts for the socioeconomic development of the urban district "City of Komsomolsk-on-Amur" is proposed, recommendations for improving the methodological support of socioeconomic forecasting are presented. The area of application is forecasting the socioeconomic development of municipalities. Thus, for developing forecasts in municipalities and regions, the most common model is a regression mathematical model in terms of measuring quantitative dependence and the influence of various factors. Ключевые слова: прогнозирование, прогноз, экономическое развитие муниципального образования, регрессионные модели, экономико-математические методы, эконометрические модели, экономическое моделирование.