The aim of this research is to investigate how the spatial distribution of 500 companies with best sales performance has changed since 2014 in Hungary. Thus, the analysis elaborated by Csete–Szabó (2014) is repeated. Subsequent to the... more
The aim of this research is to investigate how the spatial distribution of 500 companies with best sales performance has changed since 2014 in Hungary. Thus, the analysis elaborated by Csete–Szabó (2014) is repeated. Subsequent to the analysis, the change in performance of enterprises on a regional level is linked to economic polarisation: the sharply widening inequality of income and wealth. In order to provide a broader view on the Hungarian economy, the article evaluates the effect of the allocation of development funds for the 2007–2013 programming period as the development funds have a dominant role forming the income generation patterns of the country. The primary research consists of analysis on the change in the number and total (gross) sales value of the TOP 500 companies (companies with the best sales performance in a specific reference year) on NUTS 2 and NUTS 3 levels (NUTS stands for the Nomenclature of territorial units for statistics of the European Commission/Eurostat). Moreo-ver, it demonstrates the sectoral diversity of regions and interprets the concrete enterprise rank-ing in the case of the first quarter, reflecting the five most dominant regions that have the largest share of the total (gross) sales value among the TOP 500 companies. Finally, the relation of change in gross value added (GVA)/capita and total (gross) sales value of the TOP 500 compa-nies is interpreted. The results of the research indicate that the spatial distribution of the 500 com-panies with best sales performance is in perfect accordance with the generally accepted regional inequalities’ pattern of the country, which is due to the location choice of the export-oriented compa-nies. If we consider the headquarters of the enterprises, 78% from the total sales value of the TOP 500 companies is linked to five NUTS 3 regions, and the importance of the capital is outstanding. The result of the research indicates the importance of agglomeration economies, which is the result of interaction among economies of scale, transporta-tion costs, market size, and information as Paul Krugman (1991) explains in the ‘new economic geography’ theory. The repeated analysis has indi-cated that both the total (gross) sales value of the TOP 500 companies (by 15%) and GVA/capita (by 19.5%) has increased during the period, and the ranking of NUTS 2 regions has not changed. Thus, the change in gross domestic product (GDP)/capita and the total sales value of the TOP 500 companies on NUTS 3 level have common tendencies. Considering the cumulative share of the total (gross) sales value of the TOP 500 on a regional level, the inequalities have marginally decreased, but large differences still exist.
Research Interests: Geography, Human Geography, Urban Geography, Regional Geography, Economics, and 34 moreDevelopment Economics, Economic Geography, International Economics, Statistics, Social Sciences, Regional Sciences, Regional Science, Applied Statistics, Economic Growth, Spatial econometrics, Multinational Enterprises, Regional Planning/Development, Economic Development, Regional development, Statistical Modeling, Urban And Regional Planning, Regional Studies, Regional Economics, Small and Medium-scale Enterprises, Regional economic development, Economia, Local and Regional Economic Development, Export, City and Regional Planning, Hungary, Impact of Monetary Policy on Gross Domestic Product (GDP) by Irfan Hameed, Agglomeration Economies, Mathematics and Statistics, Political economy of regional development, Regional geography and regional development, GDP. Economy, Regional Development and Innovation Strategies, Economic, and Regional integration and human development
Pécs and Szeged, two Hungarian Pole cities (refers to F. Perroux’s Growth Pole Theory) in the top-down initiative Hungarian Pole Program are examined in this research. The analysis has carried out that the simulation of multiplier effects... more
Pécs and Szeged, two Hungarian Pole cities (refers to F. Perroux’s Growth Pole Theory) in the top-down initiative Hungarian Pole Program are examined in this research. The analysis has carried out that the simulation of multiplier effects in the regions of the two cities was limited due to the relatively low level of the participation of for-profit enterprises in the examined Programmes limiting the increase of incomes through productive consumption and advancing income level of employees in the cities where Universities are the most influential factor in local economic development.
Research Interests:
The research paper emphasizes the importance of export from the aspect of economic development. In the first part, the theoretical background of the regional development connected to export-led growth is introduced. As a bridge between... more
The research paper emphasizes the importance of export from the aspect of economic
development. In the first part, the theoretical background of the regional development
connected to export-led growth is introduced. As a bridge between the theoretical and
empirical part, the territorial sense of export data and economic spaces is highlighted. In
connection to the research, actual domestic research examining spatial differences and
inequalities in Hungary is presented. The reviewed researches (Dusek–Lukács–Rácz
2014, Nemes Nagy–Tagai 2011, Obádovics 2013, Pénzes 2012) concur on the main
territorial features in Hungary: territorial hegemony of the capital, increasing differences
between the capital and rural areas, emergence of the ‘West–East decline’, and varied
development patterns of micro-regions and settlements. Dusek–Lukács–Rácz (2014)
describe the regional disparities in the country on NUTS-2 level, pointing out that Central
Hungary is the most advanced region of Hungary, followed by Western Transdanubia
and Central Transdanubia, and with significant lag, Southern Transdanubia, Southern
Great Plain, Northern Great Plain and Northern Hungary trail the list. In the primary
research, the aim is to explore the conditions of export-led growth in Hungary, and
through an examination of the spatial distribution of the 500 companies with the best
sales performance (TOP 500 list) an attempt is made to demonstrate the reasons for
regional inequalities in Hungary. The other scope of the research is to demonstrate the
concentration of different sectors in NUTS-3 level, as well as highlighting their export
orientation. Furthermore research examines associations between different measures. The
pool of data used for carrying out the research is derived from HVG (Heti Világgazdaság
– a dominant economic weekly review in Hungary) about the first 500 companies with
the best sales performance in 2012 (the TOP 500 companies) and from the Hungarian
Central Statistical Office. Our research findings emphasize the importance of export for
regional development (export-led growth), and resembles the secondary research outcomes
about the development of NUTS-2 and NUTS-3 regions.
development. In the first part, the theoretical background of the regional development
connected to export-led growth is introduced. As a bridge between the theoretical and
empirical part, the territorial sense of export data and economic spaces is highlighted. In
connection to the research, actual domestic research examining spatial differences and
inequalities in Hungary is presented. The reviewed researches (Dusek–Lukács–Rácz
2014, Nemes Nagy–Tagai 2011, Obádovics 2013, Pénzes 2012) concur on the main
territorial features in Hungary: territorial hegemony of the capital, increasing differences
between the capital and rural areas, emergence of the ‘West–East decline’, and varied
development patterns of micro-regions and settlements. Dusek–Lukács–Rácz (2014)
describe the regional disparities in the country on NUTS-2 level, pointing out that Central
Hungary is the most advanced region of Hungary, followed by Western Transdanubia
and Central Transdanubia, and with significant lag, Southern Transdanubia, Southern
Great Plain, Northern Great Plain and Northern Hungary trail the list. In the primary
research, the aim is to explore the conditions of export-led growth in Hungary, and
through an examination of the spatial distribution of the 500 companies with the best
sales performance (TOP 500 list) an attempt is made to demonstrate the reasons for
regional inequalities in Hungary. The other scope of the research is to demonstrate the
concentration of different sectors in NUTS-3 level, as well as highlighting their export
orientation. Furthermore research examines associations between different measures. The
pool of data used for carrying out the research is derived from HVG (Heti Világgazdaság
– a dominant economic weekly review in Hungary) about the first 500 companies with
the best sales performance in 2012 (the TOP 500 companies) and from the Hungarian
Central Statistical Office. Our research findings emphasize the importance of export for
regional development (export-led growth), and resembles the secondary research outcomes
about the development of NUTS-2 and NUTS-3 regions.