Interpretation of the Term “Reindustrialization” in the Conditions of Globalization

Mal'Tsev, A. A.; Mercier‐Suissa, Catherine; Mordvinova, Arina

doi:10.17059/2017-4-6

Cited by 9 publications

(4 citation statements)

References 1 publication

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“…In modern terms one of the key priorities of state regional policy should become "new industrialization" of OIRs aimed at returning the dominating role to the real sector both at macro and mezzo-level of the economic system. Reindustrialization is aimed at eliminating the consequences of deindustrialization (sustainable decreasing of the share of the mining industry in GRP), restoring the industrial nucleus of the economic complex of OIR on the basis of a new technological wave; while neo-industrialization deals with creating in the region production forces of new quality [9][10][11]. Offsetting the deindustrialization and modernization of regional economic complex by means of realizing programs of OIRs of Russia are endogenously heterogeneous: they include territories that can be referred to different stages of technological evolution that influences middle-and long-term Advances in Economics, Business and Management Research, volume 83 perspectives of their development (deindustrialization or reindustrialization, reindustrialization + neo-industrialization («new industrialization»?).…”

Section: Resultsmentioning

confidence: 99%

Old Industrial Regions: Identification, Kinds and Perspectives of “New Industrialization”

Mitrofanova¹,

Родионова²,

Adzhikova³

et al. 2019

Proceedings of the Volgograd State University International Scientific Conference "Competitive, Sustainable and Safe Developmen

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About 40% of Russian regions can be referred to old industrial ones and technological advantages of most of them are being lost due to scientific-and-technological advance as well as structural changes; and structural reforms in these regions are being slowed down due to the deficiency of financial resources and irrational planning. Today old industrial regions of Russia make up a significant heterogeneous group of regions which got their industrial specialization in 1930-1950s and include mostly rearguard industries of I−IV technological waves which predominance keeps them at the stage of industrial development. Many old industrial regions obtained features of territories of concern, depressive territories; and their space localization determined their specifics: the group of the central regions can be characterized by the lack of highly-qualified specialists, low rate of renovation of productive capacities as compared to the demands of local economy, decreasing number of population, aggravating environmental problems; while old industrial regions of the Volga region can be characterized by insufficient transport and energy infrastructure, high rate of fixed assets depreciation. Today neo or reindustrialization of old industrial regions aimed at restoration of the real sector dominating role should become one of the strategically important priorities of the state regional policy. The old industrial regions of 1-4 classes have perspectives of being developed as industrial territories for which can be applied either the strategy of new industrialization (1-2 classes) or the strategy of reindustrialization (3-4 classes) that can lead in a middle-term perspective to decreasing number of industrial regions. The real perspective of old industrial regions of 5-6 classes is deindustrialization, developing service sector.

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Section: Resultsmentioning

confidence: 99%

Old Industrial Regions: Identification, Kinds and Perspectives of “New Industrialization”

Mitrofanova¹,

Родионова²,

Adzhikova³

et al. 2019

Proceedings of the Volgograd State University International Scientific Conference "Competitive, Sustainable and Safe Developmen

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“…back to the home country [19], decided to relocate manufacturing closer to the home country. That is why nowadays, Russia has suffi cient initial conditions for the implementation of neashoring initiative [20,21,22].…”

Section: Effects Of Globalization On Textile Industry Supply and Valumentioning

confidence: 99%

Global Corporations and Smaller Actors in Textile Business: European Perspective

Hilmola¹,

Tolli²,

Panova³

2019

EoR

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Earlier in Europe, there existed many local textile brands and manufacturers. However, these have experienced signifi cant pressure from the rapid expansion, and success of the European based global textile industry corporations, such as H&M and Inditex (Zara). Their further advancement is supported by the expansion into the new locations and application of nearshoring strategies to the favourable markets, such as Russian, which have attracted to some extent previously entirely offshored European manufacturing located in China. In this regard, the objective of the current study is the assessment of the business activities of the given companies, as well as one company from Finland, and three major textile companies from the Baltic States, through the designed methodological approach. Due to the fact that most performance indicators of companies are based on empirical data, the study is explorative in its nature. Moreover, it shows the relationship between the main key performance indicators of the company with one of the functional areas of logistics (warehousing and inventory management). In particular, analysis of this research shows that two global actors (H&M and Inditex) have experienced exceptional growth, profi ts and profi tability during the years 2001-2016. It was concluded that nearly all of these earlier successful ones and smaller actors have faced diffi culties in the past decade, and best growing has been company concentrating on warehousing and retail, instead of manufacturing. Most of these smaller actors have faced profi tability challenges, and considerable amount of shareholder value has been lost during the decade.

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“…The manufacturing has evolved into an enormous industrial ecosystem in which a growing number of areas are embedded [1,2]. To recognize the sustainable development of manufacturing in the ecosystem, countries, and regions across the globe need to develop unique competitive advantages [3].…”

Section: Introductionmentioning

confidence: 99%

Identifying the Critical Factors of Sustainable Manufacturing Using the Fuzzy DEMATEL Method

Jiang

Zhang

Feng

2020

Applied Mathematics and Nonlinear Sciences

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The burgeoning trend of globalization gives rise to the formation of the manufacturing ecosystem. This study aims to identify the critical factors of sustainable manufacturing for countries and regions across the globe finding their unique ecological niches. From the perspective of the ecological niche, we develop an evaluation system of the manufacturing niche. By using the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, the critical factors, and its causal relationships of the manufacturing niche can be quantified and visualized. The results indicate that: (1) the evaluation system of the manufacturing niche is characterized by complexity and interactivity; (2) technical factors have the strongest impact on the evaluation system, among which R&D investment intensity and the input-output ratio of new products are key indicators; and (3) technical and policy factors are decisive for the system and actively influence economic and ecological factors. Theoretically, it is beneficial to augment the niche theory and industrial economics. Practically, it helps to create a win-win situation to facilitate governments to enact suitable industrial strategies and assist the manufacturing toward a more sustainable trajectory.

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Interpretation of the Term “Reindustrialization” in the Conditions of Globalization

Cited by 9 publications

References 1 publication

Old Industrial Regions: Identification, Kinds and Perspectives of “New Industrialization”

Old Industrial Regions: Identification, Kinds and Perspectives of “New Industrialization”

Global Corporations and Smaller Actors in Textile Business: European Perspective

Identifying the Critical Factors of Sustainable Manufacturing Using the Fuzzy DEMATEL Method

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