An econometric analysis of the regional industrial specialization: The Russian manufacturing industry case study

2020 ◽  
Vol 19 (9) ◽  
pp. 1765-1790
Author(s):  
T.Yu. Kudryavtseva ◽  
A.E. Skhvediani
Keyword(s):  
Manufacturing Industry ◽  
Service Sector ◽  
Econometric Models ◽  
Regional Economies ◽  
Russian Regions ◽  
Spatial Panel ◽  
Industrial Specialization ◽  
Spatial Panel Data ◽  
Workforce Productivity ◽  
Post Industrial

Subject. The article reviews the manufacturing industry in Russian regions, calculates the indicators of regional industrial specialization needed for development of econometric models of spatial panel data. Objectives. The purpose is to create a methodology for analyzing the regional industrial specialization based on econometric tools; to test it, using the case of the manufacturing industry, for determining the type of externalities in the Russian Federation. Methods. To build econometric models, we use methods of least squares and maximum likelihood. We apply localization ratios to assess regional industrial specialization in terms of the volume of employment, revenue and investment in manufacturing, workforce productivity, etc. Results. The findings show the clustering of regions by the level of productivity. The localization of manufacturing industry in regions in terms of localization of employment and localization of productivity is negatively related to productivity in the region. This can be explained by the transition of regional economies to the post-industrial mode, where the service sector becomes more important, and by possible over-industrialization and specialization of certain regions in the context of the need to develop related sectors and to build links between them. The presence of direct negative MAR externalities may indicate a need for further research in positive Porter and Jacobs externalities for Russian regions manufacturing industry. Conclusions. The developed methodology enables to identify and analyze relationships between regional industrial specialization and regional indicators; to specify the type of externalities and determine the existence of indirect and direct effects of industry localization.

The textile and garment industries in the Russian regions: Spatial and econometric modeling

2021 ◽  
Vol 19 (9) ◽  
pp. 1685-1705
Author(s):  
Angi E. SKHVEDIANI ◽  
Kseniya S. KOZHINA
Keyword(s):  
Panel Data ◽  
Labor Productivity ◽  
Econometric Modeling ◽  
Russian Regions ◽  
Spatial Panel ◽  
Industrial Specialization ◽  
Analysis Technique ◽  
Spatial Panel Data ◽  
The Given ◽  
Garment Manufacturing

Subject. The article focuses of the industrial specialization of the Russian regions. Objectives. We test the technique for analyzing the regional industrial specialization with econometric toolkit, referring to the textile and garment industries in Russia. Methods. We conducted the econometric analysis, relying upon spatial panel data on the regional industrial specialization. We used localization coefficients of the metrics, such as revenue from sale of goods, average monthly pay of workers in the given industry, average headcount in the given industry and labor productivity. Results. We discovered that there is a spatial correlation of labor productivity in the textile and garment industries. The localization of those employed in the textile and garment manufacturing has a negative correlation with labor productivity in the regions. We traced a positive correlation of labor productivity in the regions and the localization of workers’ wages. Conclusions. The proven economic analysis technique helps identify and analyze correlations of regional industrial specialization indicators.

Border Trade between Regions of Russia and Provinces of China

2021 ◽  
Vol 20 (10) ◽  
pp. 103-116
Author(s):  
Natalya S. Epifanova ◽  
Vladimir N. Akulinin
Keyword(s):  
Manufacturing Industry ◽  
Raw Materials ◽  
Value Added ◽  
Raw Material ◽  
Structural Development ◽  
Regional Economies ◽  
Russian Regions ◽  
Goods And Services ◽  
Border Trade ◽  
Regions Of Russia

The purpose of this article is to study border trade in the regions of Russia and the provinces of China. It is shown that in recent years there have been negative trends in border trade, leading to its reduction. Therefore, Russian regions bordering with China should transform into separate objects of regional policy, while also forming a legislative framework for border interaction in all its main spheres: trade, humanitarian cooperation, science and education, and others. In border cooperation with China, special emphasis should be placed on cooperation in the innovation sphere, as well as on improving the quality of exported goods and services and promoting infrastructure projects. Border trade between the regions of Russia and China is built mainly on trade and export of labour resources from China to Russia, as well as China’s receipt of additional sales channels for the confidently growing sales markets for consumer goods and sources of raw materials and primary products. The interaction of Russian regions with neighbouring provinces on the border with China not only preserves the raw material orientation of these regions, but also hinders the development and strengthening of the manufacturing industry in the structure of their regional economies, since border interaction for Russian regions immobilizes those stages of value-added production observed in the very first stages. In general, for the Chinese provinces there is a similar problem associated with such exports to border regions that have common borders with Russia, which does not contribute to the diversification and structural development of the regional economies of the Chinese provinces. That is why building an effective mechanism for border interaction between Russia and China is a strategically important issue for both countries.

scholarly journals Urban Regeneration: From the Arts `Feel Good' Factor to the Cultural Economy: A Case Study of Hoxton, London

Urban Studies ◽  
2009 ◽  
Vol 46 (5-6) ◽  
pp. 1041-1061 ◽  
Author(s):  
Andy C. Pratt
Keyword(s):  
Service Sector ◽  
Urban Regeneration ◽  
Cultural Economy ◽  
Cultural Industries ◽  
Industrial City ◽  
Policy Debates ◽  
The Arts ◽  
Post Industrial

This paper seeks to examine critically the role of culture in the continued development, or regeneration, of `post-industrial' cities. First, it is critical of instrumental conceptions of culture with regard to urban regeneration. Secondly, it is critical of the adequacy of the conceptual framework of the `post-industrial city' (and the `service sector') as a basis for the understanding and explanation of the rise of cultural industries in cities. The paper is based upon a case study of the transformation of a classic, and in policy debates a seminal, `cultural quarter': Hoxton Square, North London. Hoxton, and many areas like it, are commonly presented as derelict parts of cities which many claim have, through a magical injection of culture, been transformed into dynamic destinations. The paper suggests a more complex and multifaceted causality based upon a robust concept of the cultural industries as industry rather than as consumption.

The Demographics of Trade-Affected Services and Manufacturing Workers (1987–1990): A Comparative Analysis

1995 ◽  
Vol 23 (4) ◽  
pp. 43-67
Author(s):  
Bartholomew Armah
Keyword(s):  
Manufacturing Industry ◽  
Service Sector ◽  
Manufacturing Sector ◽  
College Education ◽  
Service Industries ◽  
Highly Educated ◽  
Black And White ◽  
Industry Group ◽  
White Males ◽  
Group A

Using input-output data for 1987 and 1990, this study identifies the demographic characteristics of trade-affected workers in U.S. manufacturing and service industries. Trade-affected workers are defined as employees in industries that experienced a change (positive or negative) in net total (direct and indirect) trade-related employment between 1987 and 1990. For the period 1987–1990, three industry categories were examined: (a) industries that experienced an increase in positive net trade-related employment; (b) industries that experienced a decline in positive net trade-related employment; and (c) industries that suffered net trade-related employment losses in both years yet experienced an improvement over the period. The study finds that, while manufacturing industry workers in the most favorably affected industry group (i.e., group “a”) were more likely to be highly skilled (i.e., scientists & engineers), highly educated (i.e., over four years of college education), unionized, married and white males, corresponding service sector workers were predominantly unskilled (laborers), less educated, non-unionized, young (i.e., aged 16–24) and male (black and white). Furthermore, the service sector was associated with greater mean trade-related employment and output gains and lower mean employment and output losses than was the manufacturing sector.

Implementation of lean in IT SME company: an Italian case

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marco Torri ◽  
Kaustav Kundu ◽  
Stefano Frecassetti ◽  
Matteo Rossini
Keyword(s):  
Manufacturing Industry ◽  
Service Sector ◽  
Manufacturing Sector ◽  
Single Case ◽  
Value Added ◽  
Lean Implementation ◽  
Content Type ◽  
Italian Case ◽  
Lean Practices

Purpose In spite of huge advancement of Lean in the manufacturing sector, its advantage in the service sector is not fully investigated. The purpose of this paper is to cover this gap in particular for the information technology (IT) sector through the implementation of the Lean philosophy in a small- and medium-sized enterprise (SME), operating in the IT sector. Design/methodology/approach A case study is conducted and following the A3 model, Lean is deployed in the case company. Data were collected through on-site interviews, waste sources were identified and then countermeasures for their reduction were proposed and adopted. Findings This study reveals that the implementation of the Lean practices in an SME operating in the IT sector offers good operative and financial results, thanks to the higher productivity obtained through the reduction of non-value-added activities. Research limitations/implications This paper reports a single case study, not enough to generalize the results. Moreover, more Lean tools and practices should be tested in IT companies to assess their effectiveness. Practical implications This paper increments the knowledge base for the application of Lean and A3 model outside the manufacturing industry. This paper should assist practitioners and consultants who have the desire to understand a better way of Lean implementation in fast-growing IT industry and in SME. Originality/value Research on Lean implementation in an SME company and in IT sector is scarce. This study aims to assess the efficiency of the adoption of Lean practices following the A3 model. The results could be highly valuable for similar companies (dimension or sector), especially those that are facing transition situations in terms of size and at the same time want to improve their operations performance, efficiency and avoid waste.

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