Romania disparities in regional development

Surd, Vasile; Kassai, Ianos; Giurgiu, Laura

doi:10.1016/j.sbspro.2011.05.102

Cited by 20 publications

(11 citation statements)

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“…The political and economic changes at the beginning of the 1990s have brought about considerable changes in the spatial structure of Romania. The processes of economic privatisation, industrial restructuring, suburbanisation and out-migration have contributed substantially to the restructuring of the Romanian economic space [1], [2], [3], marked by increasing spatial, and socio-economic inequalities [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Spatial Patterns of Local Income Inequalities

Török¹,

Benedek²

2018

JSSP

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K e y w o r d s: local income, inequality, spatial clusters of income distribution, exploratory spatial data analysis, RomaniaA B S T R A C T with the EU average, although this was achieved at the cost of an increasing internal, sub-national divergence [17], [6]. Centre for Research on Settlements and Urbanism Journal of Settlements and Spatial PlanningJ o u r n a l h o m e p a g e: http://jssp.reviste.ubbcluj.roThe main aim of this study is to describe the spatial patterns of local income inequalities by employing techniques of spatial exploratory data analysis. Global and local measures of spatial autocorrelation were computed in order to obtain estimates for the existing spatial autocorrelation at the local income level. Using this information, we determined the spatial clusters of significantly auto-correlated local income distribution. The first major result of the paper consists in the measurement of the local income levels, an innovative contribution to the advancement in this field since there are no official statistics on local level economic data in Romania. The second major result of the paper consists in the identification and delineation of specific spatial structures at high spatial resolution. It enables the precise designation of peripheral regions for spatial planning interventions. The third major outcome of the paper brings empirical evidence for the existence of highly significant spatial interactions and for the strong spatial interconnections between areas of similar local income levels.

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Section: Introductionmentioning

confidence: 99%

Spatial Patterns of Local Income Inequalities

Török¹,

Benedek²

2018

JSSP

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“…decentralisation, competition, tolerance. On the other hand, in other regions ethnic diversity of Romania is more obvious (Surd, Kassai, & Giurgiu, 2011).…”

Section: Romaniamentioning

confidence: 99%

Evaluation of investing in real estate in EU and non-EU countries based on MCDM

Erdogan

Naumcik

2019

Modern Building Materials, Structures and Techniques (MBMST)

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Investment in real estate is a zoning issue as the real estate market is closely related to economic development and trends in real estate market are considered to be indicators of trends in the whole economy of the country. The goal of this paper is to analyse the main aspects and considerations when investing in real estate, evaluate investment in real estate situation in different EU and non-EU countries and introduce MCDM methods that could be used for selecting a state for investment in real estate. It is identified that when investing in real estate various political, social, economic, environmental and other factors have to be taken into consideration. Analysed examples of EU (Lithuania, Romania, UK) and non-EU (Turkey, China, Russia) countries show different risks and opportunities for investments in real estate. MCDM methods are applicable to evaluate which countries are most attractive for investment in real estate. Described TOPSIS and ARAS methods could be used for assessing states as alternatives when selecting where to invest

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“…In general, comparing different Romanian NUTS II counties, the district of Bucharest-Ilfov emerges as having suffered less socio-economic marginalisation and territorial disparities than Eastern and Southern regions (SURD et al, 2011). This implies a different impact of the financial supports allocated by the European Union before and after the enlargement in 2007, corroborating the hypothesis according to which the poorer a rural area is, the more modest its development will be (GALLUZZO, 2017a;2017b;2018a;2018b;SURD et al, 2011). Therefore, the focus of the National Rural Development Plan on stimulating measures of diversification in farming through agritourism, rural tourism, and the EU's LEADER initiatives, which is financed under the second pillar of the Common Agricultural Policy, represents a good opportunity for rural areas to reduce the socio-economic marginalisation suffered in many deprived contexts, even if the level of GDP per capita remains one of the most significant factors in the mitigation of socio-economic disparities and improving the environmental protection and sustainability of rural territories (BURJA & BURJA, 2014;GALLUZZO, 2017a;2017c;IORIO & CORSALE, 2010;ABRHAM, 2011).…”

Section: Introductionmentioning

confidence: 98%

“…Completely different is the issue of temporary emigration, which is sensitive to various parameters such as the context, the village of origin, and other socio-economic variables and expectations that are able to drive the emigration, even if scholars have found that the recent increase specifically in female emigration has notably been met with public strategies tailored to the social protection of several Romanian rural territories (SANDU, 2005a;2005b;2007;PIPERNO, 2012). In general, comparing different Romanian NUTS II counties, the district of Bucharest-Ilfov emerges as having suffered less socio-economic marginalisation and territorial disparities than Eastern and Southern regions (SURD et al, 2011). This implies a different impact of the financial supports allocated by the European Union before and after the enlargement in 2007, corroborating the hypothesis according to which the poorer a rural area is, the more modest its development will be (GALLUZZO, 2017a;2017b;2018a;2018b;SURD et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

A Quantitative Assessment of the Rurality and an Efficiency Analysis of Emigration in Romania

Galluzzo¹

2018

APSTRACT

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In Romania, as in many other Eastern European countries, the early 1990s were marked by a significant emigration from the countryside as a consequence of the transition from a centralised economy to an open one and due to key changes in the political framework. The permanent emigration has predominantly been concentrated in rural areas where multiple socio-economic variables such as GDP per capita, unemployment, and public financial subsidies aimed at supporting people at risk of severe deprivation and poverty have all had a direct effect on rural depopulation. The rurality is a complex theoretical construct comprising many items and variables and is, therefore, difficult to define in a concise manner. The aim of this paper is to assess the evolution of emigration in Romania between 2001 and 2016 through a quantitative approach, estimating an index of rurality for the same period composed of a set of socio-economic variables having a direct or indirect nexus to it. In the first phase of research, a matrix of correlation and a multiple regression model has been used in order to estimate the direct links among all investigated variables. Following the quantitative methodology, in the second phase Partial Least Square Structural Equation Modelling (PLS-SEM) has been used in order to assess the main cause-effect relationships among a few selected endogenous variables and a set of socio-economic items. Furthermore, using a non-parametric Data Envelopment Analysis (DEA) output-oriented model, this research has assessed the efficiency in terms of permanent emigration from Romania estimated as an output to minimise and not as an output to maximise, as investigated by traditional efficiency approaches. In terms of efficiency, financial subsidies allocated by national authorities and the level of per capita Gross Domestic Product have acted directly on the level of emigration. The index of rurality in 2016 has been influenced in particular by the pluriactivity in farms in terms of agritourism, the dimension of farms in terms of land capital endowment, and the level of GDP per capita. László Kozár -György Iván Neszmélyi

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Romania disparities in regional development

Cited by 20 publications

References 1 publication

Spatial Patterns of Local Income Inequalities

Spatial Patterns of Local Income Inequalities

Evaluation of investing in real estate in EU and non-EU countries based on MCDM

A Quantitative Assessment of the Rurality and an Efficiency Analysis of Emigration in Romania

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