Abstract:The present study focuses on the geographical investigation of the automotive industry in Hungary that has been integrated into the global production networks as a relevant sector of the reindustrialization in East- Central Europe. The aim of the paper is to reveal the dominant spatial trends in this sector since the economic crisis of 2008, and how these are connected to the issue of upgrading influenced also by digitalization. The analysis is primarily based on the official industrial employment data however… Show more
“…Hallgatóinak száma 2013-tól, a képzés indításától kezdve dinamikusan gyarapodott és 2018-ban már elérte az 50 főt, de ez még így is csak harmada a BME hallgatóinak. Az utóbbi években a hallgatói létszám emelkedéséhez az is hozzájárult, hogy a nagymúltú német autógyár, a BMW a városban létesít autógyárat (Molnár et al 2020). A debreceni értékekkel szemben a többi vidéki (győri, miskolci, veszprémi) egyetemen igen kevés (2-16 fő) volt a mesterképzéses mechatronikai mérnökhallgató.…”
Section: A Mechatronikai Mérnökképzés Mint Az Ipar 40 Indikátoraunclassified
Összefoglaló. A tanulmány azt tárja fel, hogy az iparban zajló
forradalmi változásokra hogyan reagáltak a hazai felsőoktatási intézmények a
kormányzati intézkedések és a vállalati együttműködések tükrében. A szakirodalmi
forrásokra és az oktatási intézményi adatokra, valamint egy vállalati
esettanulmányra alapozva megállapítható, hogy az elmúlt években jelentős
előrelépés történt a felsőoktatási szakemberképzésben, hogy igazodjon az Ipar
4.0 kihívásaihoz. Ezt részben az állami szakpolitikák és főleg a német
vállalatokkal folytatott együttműködések elmélyülése tette lehetővé. Mindezek
hosszabb távon a gazdasági és társadalmi következmények mellett a magyar ipar
területi folyamataira is hatással lehetnek.
Summary. This paper investigates how Hungarian higher education
institutions have responded to revolutionary changes in industry reflecting
government measures and corporate partnerships. Based on the literature and
educational institutional data, as well as a company case study, it can be
concluded that in recent years significant progress has been made in the
training of professionals in higher education in order to be adjusted to the
challenges of Industry 4.0. This was made partly possible by the deepening of
state policies and, in particular, cooperation with German companies. In the
long term, all these can have an impact on the spatial processes of the
Hungarian industry, in addition to economic and social consequences.
“…Hallgatóinak száma 2013-tól, a képzés indításától kezdve dinamikusan gyarapodott és 2018-ban már elérte az 50 főt, de ez még így is csak harmada a BME hallgatóinak. Az utóbbi években a hallgatói létszám emelkedéséhez az is hozzájárult, hogy a nagymúltú német autógyár, a BMW a városban létesít autógyárat (Molnár et al 2020). A debreceni értékekkel szemben a többi vidéki (győri, miskolci, veszprémi) egyetemen igen kevés (2-16 fő) volt a mesterképzéses mechatronikai mérnökhallgató.…”
Section: A Mechatronikai Mérnökképzés Mint Az Ipar 40 Indikátoraunclassified
Összefoglaló. A tanulmány azt tárja fel, hogy az iparban zajló
forradalmi változásokra hogyan reagáltak a hazai felsőoktatási intézmények a
kormányzati intézkedések és a vállalati együttműködések tükrében. A szakirodalmi
forrásokra és az oktatási intézményi adatokra, valamint egy vállalati
esettanulmányra alapozva megállapítható, hogy az elmúlt években jelentős
előrelépés történt a felsőoktatási szakemberképzésben, hogy igazodjon az Ipar
4.0 kihívásaihoz. Ezt részben az állami szakpolitikák és főleg a német
vállalatokkal folytatott együttműködések elmélyülése tette lehetővé. Mindezek
hosszabb távon a gazdasági és társadalmi következmények mellett a magyar ipar
területi folyamataira is hatással lehetnek.
Summary. This paper investigates how Hungarian higher education
institutions have responded to revolutionary changes in industry reflecting
government measures and corporate partnerships. Based on the literature and
educational institutional data, as well as a company case study, it can be
concluded that in recent years significant progress has been made in the
training of professionals in higher education in order to be adjusted to the
challenges of Industry 4.0. This was made partly possible by the deepening of
state policies and, in particular, cooperation with German companies. In the
long term, all these can have an impact on the spatial processes of the
Hungarian industry, in addition to economic and social consequences.
“…As the result of this, extended peripheral areas were formed after the political transition (the current state of which is described below). At the same time, the status of the former peripheries in western and north-western Hungary consisting of typically small villages, began to thrive due to the rapid growth of the region accelerated by direct foreign investments (mainly in the automotive and electronic industry and their related supplier chains) (Molnár et al, 2020) and -especially after 2010 -due to cross-border commuting to Austria (Kiss and Szalkai, 2014;Egedy, 2017).…”
Section: Peripheries In Hungary Before and After The Political Transitionmentioning
The delimitation and classification of peripheral settlements using multivariate statistical methods is presented in this article, with a case study of Hungary. A combination of four different methods provided the basis for the delimitation of settlements defined as peripheral. As significant overlapping was detected between the results of the different methods, peripheries – more than one-fifth of the Hungarian settlements – were identified in a common set of the results. The independence of the results from the applied methods points to the fact that peripherisation is multi-faceted, and the peripheries of Hungary are stable and well-discernible from other regions. After the identification of peripheral areas, we classified these settlements into groups based on their specific features. Multiple steps specifying the relevant variables resulted in selecting the most appropriate 10 indicators and these served as the basis for a hierarchical cluster analysis, through which 7 clusters (types of peripheries) were identified. Five of them comprised enough cases to detect the most important dimensions and specific features of the backwardness of these groups. These clusters demonstrated a spatial pattern and their socioeconomic and infrastructural features highlighted considerable disparities. These differences should be taken into consideration when development policies are applied at regional levels or below.
“…As discussed above, the possibilities of Industry 4.0 can be strongly influenced by the characteristics of manufactured products and raw materials used. This includes two possibilities regarding the development of the spatial structure: on the one hand, areas specialised in industries where the achievements of Industry 4.0 can be applied more easily and thus developed and optimised (the automotive industry seems to be, for the time being, the most dy-namic in terms of Industry 4.0 -see Molnár, E. et al 2020) and, on the other hand, it may conserve less dynamically developing, labourintensive activities in less developed areas.…”
Section: Discussion Of Empirical Experiencesmentioning
confidence: 99%
“…In value chains managed by foreign parent companies, the role of the limited character of functional upgrading in blocking re-industrialised regions and, at the same time, (quality) functions beyond production detectable in the East re-industrialised late fade differences between the old and new industrial areas, e.g. in automotive industry (Molnár, E. et al 2020).…”
Industry 4.0 developing on the basis of digitalisation is gradually transforming production, the conditions of competition and relationships in global industry, affecting its interpretation and expanding its limits. This paper attempts to explore changing economic geographical context with the revaluation of comparative and competitive advantages in a semi-peripheral area of the EU. Based on company interviews, the effects of the new technologies of Industry 4.0 on the dual Hungarian manufacturing industry and its spatial structure are studied, and that whether they contribute to the reduction of duality and geographical polarization. In Eastern Hungary – just like in most areas in East-Central Europe – internationally competitive manufacturing companies emerged almost exclusively as a result of foreign direct investment, while domestic companies are forced into secondary or dependent roles. The empirical research has revealed significant differences in the progress of companies in Industry 4.0. Hungarian-owned companies evolve in a specific way from several aspects and face many difficulties. In contrast, enterprises with foreign interest continue to be the engine of development, driven from the “outside”. Duality is also reflected in the corporate structure, in space and in the realisation of Industry 4.0.
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