scholarly journals Structural Shifts in the Economy of the Amur Region

2019 ◽  
Vol 26 (3) ◽  
pp. 23-34
Author(s):  
A. V. Vasilyeva

The article provides an economic and statistical review of the structural changes in the economy of the Amur Region from 2004 to 2016. An analysis of regional statistics on the industrial structure of gross value added (GVA) over the period under review allowed the author to identify quantitative parameters identifying economic activities that determine the characteristics of the modern economy of the region, and those that have not been developed.Based on statistical calculations, it was concluded that leading economic activities in the Amur Region are «Transport and Communication», «Mining and quarrying», «Wholesale and retail trade».The primary objective of the study was to determine the degree of intensity of structural shifts in the regional economy and identify the main trends of its development. The «absolute» gains and growth factors of the relative structural components of the GVA for the Amur Region for the period under review were calculated to characterize these structural changes.According to the author, the calculations indicate the absence of a positive transformation in the structure of the regional economy. Thus, the intensive development of the commodity sectors of the economy continues, and the low growth rates of the manufacturing industries are noted. To carry out a summary assessment of structural changes in the regional economy, the author has calculated the linear and quadratic coefficients of the «absolute» structural changes. The results provide an opportunity to more accurately identify critical areas for investment, as well as support those economic activities that will allow the region to maximize its potential benefits.

2018 ◽  
Vol 10 (2) ◽  
pp. 6-16
Author(s):  
Gholamreza Fathipour ◽  
Pratibha S. Gaikwad

With regard to the importance of the manufacturing, industrial sector for economic growth and its priority for motivating other sectors to development, the paper is aimed to study the structural changes condition in the Indian manufacturing industries. The changing in value-added of industrial activities due to industrial and economic policies is an important indicator for the recognition of manufacturing industries structure. We have analyzed the industrial structure and competitiveness of each industrial activity by using data value-added of manufacturing industries and common indexes such as the structural changes index in the period of 1980-2013. The results of structural index analysis showed that of textile products; leather; basic chemicals and chemical products in the periods of 1980-98  and also in the periods after 2000industries wearing apparel; dressing and dyeing of fur tanning and dressing of leather ; wood and products of wood; motor vehicles, trailers and semi-trailers; recycling; other transport equipment have been the industrial activities that their structural changes indexes has been positive and they have had the highest competitiveness in comparison to other industrial activities and the greatest opportunities to create value-added. 


2019 ◽  
Vol 3 (1) ◽  
pp. 262-267
Author(s):  
Elena Ushakova ◽  
Sergei Vdovin

The relevance of the research topic is determined by the need to assess structural changes in the territorial and sectoral structure, as well as factors affecting the competitiveness of the regional economy. The article presents the results of calculations of structural changes in the economy of the Novosibirsk region for the period from 2000 to 2016 using the method of "shift-share analysis". The method allows to assess the degree of influence of three groups of factors (national, regional and internal competitiveness of the regional industries) on changes in the regional economy. The article presents the results of calculations of the growth rates employed in certain sectors of the Novosibirsk region by types of economic activity for the period from 2000 to 2016, as well as indicators of the MIX-effect (composition) and DIF-effect (competition). Based on the assessment of structural changes, the types of economic activities that demonstrate the highest indicators of industry competitiveness are determined.


Author(s):  
Markova Evelina

The article is devoted to the study of structural changes in the economy of local urban economic systems of Transcarpathian region in the conditions of deepening of market transformation processes. The main attention is paid to the analysis of structural processes in industrial production and services as priority spheres of management in small towns and urban settlements. The intensity of structural shifts in terms of economic activities is analyzed. An analysis of the dynamics of structural shifts during the analyzed period showed that the most dynamically structural processes occurred in industry, in particular at city-forming industrial enterprises. The activity of small businesses, which today constitute the economic basis of urban settlements, and their impact on urban employment are analyzed.


R-Economy ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 42-51
Author(s):  
Rustem R. Akhunov ◽  
◽  
Azat V. Yangirov ◽  

Relevance. In contemporary economic research, the study of the diversity of factors of national economic growth is gaining more and more significance, particularly with regard to the so-called 'spatial-territorial factors'. In contrast to the existing concepts of regional and spatial economy, the approach described in this paper is based on the hypothesis that it is possible to accelerate national economic growth. It can be done by stimulating extended economic reproduction on the subnational level, that is, on the level of relatively independent and self-contained spatial and administrative units such as regions of the Russian Federation, municipalities, agglomerations, etc. Research objective. The study aims to propose a decomposition of the economic growth rates in Russia by territorial units and to describe the spatial-territorial factors of national economic growth. Data and methods. To characterize the spatial-territorial factors, we used indices of the physical volume of gross regional product (GRP) and gross value added (GVA) in types of economic activities in Russian regions in percentage to the previous year for the period of 2013-2018. The types of economic activities were specified according to the Russian Classifier of Economic Activities of 2007 (OKVED) (Statistical Classification of Economic Activities in the European Community - NACE Rev. 1.1 (2013-2016)) and OKVED-2 (NACE Rev.2 (2017-2018)). Results. We estimated the contributions of Russian regions to national economic growth by analyzing the data on the key types of economic activities in a 6-year period (2013-2018). We also identified the regions which accounted for the largest losses in economic growth, on the one hand, and those which, on the other hand, acted as drivers of the country's economic development. Conclusion. There is a small number of regions lagging in terms of GRP and their influence on the national rates of economic growth is also insignificant. The general rates of GRP decline in a region are determined, first and foremost, by the sluggish growth in those types of economic activities that have the largest share in GRP. The number and share of the regions which demonstrate extended economic reproduction, that is, deliver at least 2% growth a year, are also quite small. These regions make up slightly more than 19% of the country's GRP. The largest group of regions comprises those regions that do not go beyond the simple reproduction (their growth rates are less than 2% a year), while their share in the country's GRP exceeds 74%. The so-called ‘heavyweights’ - regions accounting for the largest share in the country's total GRP - have the strongest effect on the national rates of economic growth, hindering it. It is the economic structure of these regions that has the biggest influence on the country's performance in such types of economic activities as wholesale and retail trade and maintenance and repair of motor vehicles. Sadly, it is in these sectors that the 'heavyweights' demonstrate the largest losses in GVA. As a result, these sectors suffer the most, which is bound to be reflected in the country's overall economic growth.


2001 ◽  
Vol 51 (3) ◽  
pp. 385-414
Author(s):  
E. Viszt ◽  
B. Borsi

In this article, the authors give a rich-in-data account of Hungary's structural transition to a market economy between 1993 and 1998. Although the availability of statistics also puts constraint on which period to study, these years may as well be later termed the first phase of post-socialist transition. The article has three main parts. In the first, structural changes of the whole economy are presented; the structural shifts in output, value added, and investments are analysed. The diffusion of private ownership and foreign capital and the process of decentralisation and concentration are also discussed. In the second part, the manufacturing industries are in focus. With an interesting analytical tool – the growth matrix – the authors present a possible approach of studying sectoral development. By distinguishing the factor needs of the manufacturing industries, the factor intensities of production are also easy to understand and yet reasonable for studying the adjustment to modernisation trends. In the third part, the structural changes of foreign trade are shown: export orientation, import dependency, the relationship between export and technology are the main concerns of analysis. The impact of FDI on the manufacturing industries' foreign trade and performance close the third part of the article.


2020 ◽  
Vol 12 (7) ◽  
pp. 2611 ◽  
Author(s):  
Vladimír Baláž ◽  
Eduard Nežinský ◽  
Tomáš Jeck ◽  
Richard Filčák

This paper examines changing regional patterns of energy and emission efficiency in the Slovak regions in the period of 2008–18. Firstly; we review literature on key approaches to evaluating energy and emission efficiency; followed by discussing the pros and cons of specific methods. A slacks-based model of data envelopment analysis is applied in order to investigate changing patterns of energy and emission efficiency in 79 Slovak regions (LAU 1). Thereafter; changes in energy and emission efficiency are associated with policy interventions supported by the European Structural and Cohesion Funds (ESCF) in the period of 2011–15. The evaluation found no support for the hypothesis with regard to the positive impact of the ESCF on the increase in energy and emission efficiency. Combined support from three ESCF policy measures (€606.44m) was substantial; but accounted for a mere 6.3% of the total firm expenditure on product and process innovations in the period of 2007–15 (€9,573m). Productivity-boosting technological innovations and structural changes in the Slovak economy (a shift towards industries with a lower consumption of energy but a higher production of gross value added GVA) were major drivers of trends in energy and emission efficiency. If an increase in energy (emission) efficiency; rather than energy savings (a decrease in pollution), is a major objective of sustainable development policies; then innovation-oriented policies and changes in the structure of economic activities should be preferred to schemes supporting simple energy-saving (emission-cutting) projects


2018 ◽  
Vol 16 (2) ◽  
pp. 122
Author(s):  
Sutanti Sutanti ◽  
Dwi Oktariani

The important thing for regions that have not been recently established such as South Tangerang City is sustainable economic growth. This study aims to identify and analyze the leading sectors in South Tangerang and to project the South Tangerang City Gross Domestic Product in 2017. The data used in the form of the total value added of goods and services resulting from all the economic activities of South Tangerang City and Banten Province economists based on constant prices in 2000. The analysis method uses the Location Quotient (LQ) model and Shift - Share analysis. Based on the Location Quotion (LQ) method, the base sector is nine sectors, namely (1) the Construction Sector; (2) The sector of large and retail trade, and repair of cars and motorbikes; (3) the sector of providing accommodation and drinking meals; (4) information and communication sector; (5) real estate sector; (6) company service sector; (7) educational services sector; (8) health services sector and social activities; (9) other service sectors. Overall, South Tangerang City has the most superior sector in the real-estate sector. It can be concluded that this sector has a competitive advantage and comparative advantage.


2017 ◽  
Vol 12 (2) ◽  
pp. 47-60 ◽  
Author(s):  
Aleksandra Mihnenoka ◽  
Maija Senfelde

Abstract Structural changes taking place in national and regional economy may vary across nations and regions, causing socio-economic differentiation. This research is focused on analysis of the employment structure, its changes and influence on the level of social welfare, and its deepening of economic disparities between Latvian regions. We apply a comparative statistical analysis based on two tools: the Location Quotient and shift-share analysis, using official Latvian statistical data on employment and income with a breakdown by ten groups of economic activities for the period from 2008 to 2016. The obtained results indicate that the changes in the employment structure during the studied period had a noticeable impact on regional differentiation in Latvia. The authors have discovered that although employment concentration varies across Latvian regions, it remains remarkably stable over time, with occasional re-employment shifts occurring not always in the direction of industries providing higher income, which causes further regional socio-economic differentiation in Latvia.


2017 ◽  
Vol 5 ◽  
pp. 401-412
Author(s):  
Rima RubÄŤinskaitÄ— ◽  
GindrutÄ— KasnauskienÄ—

: Economic globalization affects regional development through different economic value creation chains. The structure of regional economic activities’ groups and size of clusters could also influence the structure and size of gross value added in a particular region. This paper examines the impact of the main labor force indicators on the generated gross value added in diverse economic activities in the Baltic States and the neighbor regions of Finland and Poland in the period of 2000-2013 according to Eurostat data. The research has shown that the structure of economic activities clusters in the Baltic States (Estonia, Latvia, Lithuania) significantly differs from the neighboring regions of Poland and Finland. We also found that the labour force input has a significant impact on the following economic activities’ clusters in the Baltic States: “Industry (except construction)”, “Wholesale and retail trade, transport, accommodation and food service activities”, “Construction”, “Professional, scientific and technical activities; administrative and support service activities”, “Financial and insurance activities”, “Arts, entertainment and recreation; other service activities; activities of household and extra-territorial organisations and bodies”. The impact of the labor force on generated gross value added differs in diverse economic activities. The authors believe that the results of this study could be useful for policy makers in building more progressive national and regional economic development strategies.


2018 ◽  
Vol 16 (2) ◽  
pp. 131
Author(s):  
Sutanti Sutanti ◽  
Dwi Oktariani

The important thing for regions that have not been recently established such as South Tangerang City is sustainable economic growth. This study aims to identify and analyze the leading sectors in South Tangerang and to project the South Tangerang City Gross Domestic Product in 2017. The data used in the form of the total value added of goods and services resulting from all the economic activities of South Tangerang City and Banten Province economists based on constant prices in 2000. The analysis method uses the Location Quotient (LQ) model and Shift - Share analysis. Based on the Location Quotion (LQ) method, the base sector is nine sectors, namely (1) the Construction Sector; (2) The sector of large and retail trade, and repair of cars and motorbikes; (3) the sector of providing accommodation and drinking meals; (4) information and communication sector; (5) real estate sector; (6) company service sector; (7) educational services sector; (8) health services sector and social activities; (9) other service sectors. Overall, South Tangerang City has the most superior sector in the real-estate sector. It can be concluded that this sector has a competitive advantage and comparative advantage.


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