A Magyarországon élő külföldi kötődésű népesség térbeli autokorreláltsága

Kincses, Áron; Tóth, Géza

doi:10.15196/ts590601

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…Similar analyses are also available for China [16,17] and Nigeria [40]. Similarly, spatial econometric approach is widely used for this kind of analysis [41,42]. The countries were selected based on the Eurostat database; only those countries where all data were available were considered.…”

Section: Data and Modelsmentioning

confidence: 99%

Spatial Econometric Analysis of Carbon Dioxide Emission – European Case Study

Szabó,

Szalmáné Csete,

Sipos

2024

PROMTT

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The level of greenhouse gas emissions is one of the most important issues today, both professionally and politically, because a lower level of greenhouse gas emission is mandatory for a sustainable economy. Besides industry and households, the transport sector is also responsible for these emissions. For this reason, it may be essential to set up a model with which the amount of CO2 emissions could be estimated or predicted. This article presents a model that examines the extent of economic development and CO2 emissions in European countries. The result is establishing a pattern requiring a longer time series. If the pattern is proven, a clear reassessment of the current relationship between economic development and environmental protection should be made.

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Section: Data and Modelsmentioning

confidence: 99%

Spatial Econometric Analysis of Carbon Dioxide Emission – European Case Study

Szabó,

Szalmáné Csete,

Sipos

2024

PROMTT

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“…Migration and the socio-economic aspects of Hungary's immigrant population have been the subject of a large set of Hungarian studies (most recently e.g. Cseh Papp, et al, 2018;Kincses & Tóth, 2019). Still, the ethnocentric immigrant population of the latest decades and its potential and quantifiablesupposedly greatimpacts have not been studied specifically.…”

Section: Hungary As a Field For Studying Ethnocentric Migrationmentioning

confidence: 99%

Analyzing Ethnocentric Immigration through the Case of Hungary – Demographic Effects of Immigration from Neighboring Countries to Hungary

et al. 2021

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Specific ethnocentric international migration processes can be observed in Hungary: a significant proportion of immigrants are of Hungarian ethnic background and come from neighboring countries. Similar processes can be observed between other kin-states and co-ethnic communities of Central and Eastern Europe, but this type of migration has not been studied intensively yet. The focus of the research is on the effects of this immigration on Hungarian society and the economy. Population projections were also carried out according to two research questions: “what would have happened if the immigrants had not arrived according to the processes that were experienced?” and “what will happen if the immigration process changes?” The research is based on the 2011 census data sets; the target group is the population born in neighboring countries that moved to Hungary after 1985. Results show that the ethnic Hungarian immigrant population has been a crucial human resource in Hungary. Without these immigrants, Hungary's demographic trends would also be less favorable. Moreover, in contrast to the situation typical of European immigrants, the socio-economic situation of the former is more favorable than of the host society. Potential decline of this immigration population could indeed be challenging.

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“…Tobler's (1970) first law of geography, according to which 'everything is related to everything else, but near things are more related than distant things', has been/is manifested in many socio-economic dimensions in the Hungarian context. Such regionalising phenomena in Hungary include, for example, different labour market characteristics (employability, unemployment, adult education), the level of education of the population, income status, health status, economic activities, entrepreneurial activity, socioeconomic development, or the population of foreign origin (Alpek-Tésits, 2019;Lőcsei, 2010;Hajdú & Koncz, 2022;Pénzes et al, 2018;Tóth & Nagy, 2013;Pénzes et al, 2014;Egri & Kőszegi, 2016;Egri, 2017;Szakálné Kanó, 2017;Jeneiné Gerő et al, 2021;Kincses & Tóth, 2019;Jakobi, 2018;Farkas & Kovács, 2018).…”

Section: Introductionmentioning

confidence: 99%

Local Dimensions of Regional Income Inequalities in the 2010s - Geographical Proximity Based Experiences from Hungary

Egri

2023

The Central European Journal of Regional Development and Touris

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In this paper, we look at how geographical proximity influences settlement income trends in the period following the 2008 economic crisis. In the first part of the paper, we highlight the general impact of geographical proximity effects on socio-economic processes, followed by a discussion of the spatiality of income inequality phenomena in Hungary. The income inequality analyses are carried out using spatial econometric methods: global and local spatial autocorrelation (Global and Local Moran I, Getis-Ord General G, Getis-Ord Gi*), kernel density estimation, and 'spaceless' Markov-, Spatial-and LISA Markov chains expressing income mobility. Our LISA Markov chain analysis is experimentally based on the Getis-Ord Gi* categories, which, to the best of our knowledge, is unique in the spatial econometric income inequality literature. The results show that spatial income processes in the 2010s are related to both Myrdal's theory of cumulative causality and Richardson's theory of polarization reversal. In a period of income expansion, territorial income spillovers are limited and localised, and in practice reinforce the contiguous central region west of the capital, while peripheral regions are not significantly dissolved and in many cases are re-enforced. The results of the period under review highlight that Hungary is still a transitional country in terms of spatial inequalities.

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A Magyarországon élő külföldi kötődésű népesség térbeli autokorreláltsága

Cited by 4 publications

References 10 publications

Spatial Econometric Analysis of Carbon Dioxide Emission – European Case Study

Spatial Econometric Analysis of Carbon Dioxide Emission – European Case Study

Analyzing Ethnocentric Immigration through the Case of Hungary – Demographic Effects of Immigration from Neighboring Countries to Hungary

Local Dimensions of Regional Income Inequalities in the 2010s - Geographical Proximity Based Experiences from Hungary

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