Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Environment, Human Development and Economic Growth SummaryOver the last few years, environmental issues have entered into policy design, particularly development and growth policies. Natural resources are considered necessary production inputs and environmental quality is considered a welfare determinant. The integration of environmental issues into economic growth and development theories and empirics is currently widely analyzed in the literature. The effects of natural resources endowment on economic growth are mainly analyzed through the so-called Resource Curse Hypothesis (RCH) whereas the effects of economic growth on environmental quality are part of the Environmental Kuznets Curve (EKC). Furthermore, recent contributions on RCH and EKC have shown the important role of institutions and human development dimensions in building a sustainable development path. In this paper, we attempt to analyze the causal relationships between economic growth, human development and sustainability combining the RCH and EKC models and adopting a human development perspective.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Environment, Human Development and Economic Growth SummaryOver the last few years, environmental issues have entered into policy design, particularly development and growth policies. Natural resources are considered necessary production inputs and environmental quality is considered a welfare determinant. The integration of environmental issues into economic growth and development theories and empirics is currently widely analyzed in the literature. The effects of natural resources endowment on economic growth are mainly analyzed through the so-called Resource Curse Hypothesis (RCH) whereas the effects of economic growth on environmental quality are part of the Environmental Kuznets Curve (EKC). Furthermore, recent contributions on RCH and EKC have shown the important role of institutions and human development dimensions in building a sustainable development path. In this paper, we attempt to analyze the causal relationships between economic growth, human development and sustainability combining the RCH and EKC models and adopting a human development perspective.

No abstract

The article aims to analyse the evolution and modernization of Rome in the last 30 years. To this end, we focus on both structural and institutional change and try to identify the main ruptures, continuities and driving forces of the new Roman model. After the second world war, Rome was generally considered to be a cumbersome capital city with a heavy bureaucratic sector and without any strong 'local' political forces and social movements capable of bringing about economic and political change. Nevertheless, a new and more democratic local governance and subregulation mode emerged during the post-Fordist era, which allowed the production and reproduction of new socio-economic relations that in turn influenced a new economic model for the city. This new governance has led to some interesting forms of 'democratization' that are difficult to find in other post-Fordist metropolises. However, the Roman model is also characterized -as in other global metropolises -by forms of social exclusion, poverty and polarization between the peripheries and central/high-income districts, in a sort of two-speed development. At the same time, the traditional bureaucracy and its connected 'state bourgeoisie ', although still relevant, are no longer dominant. New service activities have brought about new agents, new powers and new institutions.'Any city, however small, is in fact divided into two, one the city of the poor, the other of the rich; these are at war with one another.' Plato, The Republic

The article takes place in the research area of the ongoing European project 'Cluster Development Med' (Horizon 2020) regarding the innovation and technology in the sustainable development field. Authors suggest a model, which allows to identify the most successful clusters and make comparisons between and within them. The analysis defines where they perform a positive or negative trend in the area examined. The model embraces three dimensions of cluster activity, so called, "Resources, Activities, Processes". They have been determined on the work of the Lithuanian association "Knowledge Economy Forum", called "Cluster Analysis". Data for practical evaluation purposes were obtained through two stage process. First, an interview on site with the coordinators of the Lithuanian clusters for data collection was done through a questionnaire survey, developed in collaboration with the Science and Innovation Agency of the Lithuanian Government. Secondly, the data have been aggregated by applying one of multi-criteria methods, specifically, Simple Additive Weighting method. Finally, the multi-criteria analysis results were used to estimate the efficiency of the clusters. The results were compared through suggested benchmarking. Suggested model can be used for evaluation of performance of different clusters.