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In 2015, the 2030 Agenda for Sustainable Development was adopted by all United Nations Member States and includes a set of 17 Sustainable Development Goals. The indicator, “Ratio of land consumption rate to population growth rate” (indicator 11.3.1) was proposed for the monitoring of urban development. The present study proposes the analysis of the built-up space evolution in relation to the demographic growth in the main metropolitan areas of Romania using the 11.3.1 indicator. Land consumption rate and population growth rate (LCRPGR) is used to assess the sustainability of urban growth, which takes into account both the change in the built-up area and in the population. LCRPGR is calculated as the ratio of land consumption rate (LCR) and the population growth rate (PGR). The analysis was conducted at the metropolitan area level for the 2006–2009, 2009–2015 and 2015–2020 periods. LCR and PGR proved to be very useful indicators for the monitoring of the intensity of built-up changes in the eight metropolitan areas both in time and in space and are useful for the local and central administrations, in both the context of achieving the sustainable development targets and goals and in conducting urban design and planning.

Differences in regional economic growth trajectories and the multiple regional effects of the economic crisis have revived studies dedicated to the subject of resilience. The main goal of this paper is to measure the resilience of the Romanian regions, seeking to answer two basic questions: What was the regional impact of the global crisis from 2008 onwards? How have the Romanian regions recovered following the crisis? We focus our analysis on the region with the highest economic growth in the post-crisis period (South-East) in order to understand the main drivers of economic recovery. The methodology of the study involves a multi-dimensional understanding of resilience. This means that we have extended our focus from economic indicators towards a more inclusive methodology related to the measurement of regional well-being. Our main finding is that productivity growth was a critical driver of economic recovery, having a significant impact on income and jobs, as well as influencing non-material elements of well-being.

The main aim of the article is to analyse the economic convergence between the NUTS 3 level units (counties) in Romania during a period of intensive economic growth (1999-2011). The main added value of the paper consists in the measurement of the multi-dimensional convergence and in adding a spatial dimension to the convergence analysis by testing the spatial autocorrelation. We have found no economic convergence for the analysed period, the economic growth process being polarized by the capital region. But in contrast, we have evidenced a social convergence process, starting with 2008 for the education component of the HDI and starting even earlier, in 2004, for the life expectancy component. In addition, we have tested the convergence club hypothesis, which has evidenced the club convergence phenomena in Romania as well.

In this article we use the classic economic variable, the Gross domestic product (GDP) per capita in order to investigate the economic convergence between regions in Romania and between the Romanian regions and EU in the period 2000–2010. The main results confirm that while there is an evident convergence between the country as whole and EU, the inter-regional disparities in Romania has widened, confirming the Williamson hypothesis.

In this article, we try to give an overview about the major changes and shifts that have determined the functioning of the spatial planning system in Romania. In this respect, we use the major legislative acts and the official planning documents from different scales (national, regional, and local) and the personal experiences in the development of different spatial planning documents as major information sources. The main results confirm that, while there is an evident Europeanization of the planning institutions and documents on national level, the local and regional levels are still strongly context dependent, mixing characteristics of three major planning styles: comprehensive integrated, land-use oriented, and urbanism.

Following the collapse of the communist regime, Romania underwent significant economic, territorial, and social transformations that exacerbated inequality. To help policymakers create effective economic strategies, it is necessary to pinpoint the areas with the largest disparities. Thus, using spatial statistics available in ArcGIS, the primary goal of this study is to identify spatial clusters/outliers of income per capita. The findings indicate a strong concentration of high incomes at the regional level in Bucharest-Ilfov, West, Centre, and North-West regions. Conversely, low-income groups are concentrated in every other region, and their circumstances do not appear to improve over the course of the analysis period (2007-2021). At the metropolitan level, large cities are particularly home to high-value clusters and their influence within metropolitan areas is outlined.

Copyright of Strategic Issues of Northern Hungary ECONOMY-REGION-SOCIETY / Észak-magyarországi Stratégiai Füzetek GAZDASAG-REGIO-TARSADALOM is the property of University of Miskolc, Faculty of Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Strategic Issues of Northern Hungary ECONOMY-REGION-SOCIETY / Észak-magyarországi Stratégiai Füzetek GAZDASAG-REGIO-TARSADALOM is the property of University of Miskolc, Faculty of Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Our paper focuses on the spatial differentiation of economic development in Romania. We use spatial econometric methods (spatial autocorrelation) in order to determine the differentiation of the country in core regions and peripheries. The analysis is carried out on the regional spatial scale (NUTS 3 units or counties) and covers the period 2000-2011. The main results show a pronounced spatial polarization and spatial autocorrelation of economic development (proxied by GDP per capita) in Romania in some core regions (the capital Bucharest), while an extended periphery, comprising the eastern part of Transylvania, Moldova and northern Muntenia is lagging behind. The analysis of the multidimensional development (Human Development Index) has revealed the existence of some regional polarizing centres (Iași, Constanța), while the spatial configuration of cores and peripheries shows a different picture: beside the capital region, there is a second core area in the central part of Transylvania, while the eastern periphery is centred on the county Brăila.