scholarly journals REPUTATION, IMAGE, BRAND: CREATION AND USE IN PRACTICE OF STRATEGIC MANAGEMENT OF COMPANIES AND TERRITORIES

2020 ◽  
pp. 16-27
Author(s):  
Victor Ivanovich Belyaev
Keyword(s):  
Economic Growth ◽  
Strategic Management ◽  
Growth And Development ◽  
Appellations Of Origin ◽  
Meaningful Relationship ◽  
Regional Product ◽  
Brand Creation

The article is devoted to the development and marketing justification of strategies for the growth and development of enterprises, territorial entities (cities, territories, regions) using such categories as reputation, image, brand. These categories are considered in the article in relation to goods, companies, territories. The article substantiates the existence of a meaningful relationship between regional product brands and the image of territories. To develop the image of the territories, it is proposed to use the mechanism for registering appellations of origin for regional product brands. The promotion of such goods to other territorial markets will advance the consciousness of local consumers and the name of the locality of origin of the goods, shape and strengthen the image of the territory. This is proposed to be used in the development and justification of strategies for the growth and development of territories. Their implementation will contribute to economic growth and the development of territorial entities.

scholarly journals Community Development and Local Social Capital

2010 ◽  
Vol 42 (1) ◽  
pp. 143-159 ◽  
Author(s):  
Jeffrey L. Jordan ◽  
Bulent Anil ◽  
Abdul Munasib
Keyword(s):  
Economic Growth ◽  
Social Capital ◽  
Community Development ◽  
Human Development Index ◽  
Growth And Development ◽  
Local Economic Development ◽  
The State ◽  
Measurement Tool ◽  
Economic Growth And Development ◽  
Geographical Clusters

While a substantial amount of research has been devoted to showing what social capital does, research explaining social capital itself lags behind. The literature has a long tradition of examining the effect of social capital on local economic growth and development. In this paper we examine whether local economic development can explain the variation in social capital across various geographical clusters in the state of Georgia. We begin by devising a measurement tool, a Human Development Index (HDI), to measure community development. Our social capital measure includes associational memberships, voluntary activities, and philanthropy obtained from the Georgia Social Capital Survey. The findings show that even after accounting for various demographic and economic characteristics, the HDI explains the variation in a number of social capital levels (especially those measured by associational involvement) across various geographical clusters in the state of Georgia.

Inducing Technological Change for Economic Growth and Development.

Economica ◽  
1974 ◽  
Vol 41 (162) ◽  
pp. 232
Author(s):  
V. N. Balasubramanyam ◽  
Robert A. Solo ◽  
Everett M. Rogers
Keyword(s):  
Economic Growth ◽  
Technological Change ◽  
Growth And Development ◽  
Economic Growth And Development

Assessing the Impact of the Factors in the Digital Transformation on the Regional Economic Growth

REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Digital Transformation ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
Regions Of Russia

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.

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