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Search results for: ITALIAN ECONOMIC HISTORIANS
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Italian Economic Journal
Journals -
Aleksandra Parteka dr hab. inż.
PeopleAbout me: I am an associate professor and head of doctoral studies at the Faculty of Management and Economics, Gdansk University of Technology (GdanskTech, Poland). I got my MSc degree in Economics from Gdansk University of Technology (2003) and Universita’ Politecnica delle Marche (2005), as well as MA degree in Contemporary European Studies from Sussex University (2006, with distinction). I received my PhD in Economics...
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L’indistricabile intreccio. Imprese, imprenditori e regime fascista. (An Inextricable Intertwining. Companies, Entrepreneurs, and the Fascist Regime)
PublicationThe papers of this section analyse the relationships between the economic and business community and the fascist regime. Their aim is to refresh the interpretations that were established in the 1960s-1970s and remained undisputed in the decades thereafter, becoming a sort of mantra among Italian contemporary historians. The article presents the most relevant contributions of that historiographical season, explaining the reasons...
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L'industria e la Storia. La lezione di Giorgio Mori
PublicationThe wide contribution of Giorgio Mori for a better understanding of the long-term historical relationships between history and industry is the focus of this chapter. By analysing the long list of books and articles written all along his scientific and academic life it is possible to trace a sort of fil rouge that permits to appreciate the huge effort made by this scholar in offering a fresh and never banal interpretation of the...
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Secure Italian domination in graphs
PublicationAn Italian dominating function (IDF) on a graph G is a function f:V(G)→{0,1,2} such that for every vertex v with f(v)=0, the total weight of f assigned to the neighbours of v is at least two, i.e., ∑u∈NG(v)f(u)≥2. For any function f:V(G)→{0,1,2} and any pair of adjacent vertices with f(v)=0 and u with f(u)>0, the function fu→v is defined by fu→v(v)=1, fu→v(u)=f(u)−1 and fu→v(x)=f(x) whenever x∈V(G)∖{u,v}. A secure Italian dominating...
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Błażej Prusak dr hab.
PeopleBłażej Prusak is Head of the Department of Finance at the Faculty of Management and Economics, Gdansk University of Technology and Editor-in-Chief of the journal Research on Enterprise in Modern Economy - theory and practice (REME), as well as a member of editorial boards of such journals as Intellectual Economics; Space. Economics. Society; Academy of Management. He is the author or co-author of several scientific monographs including:...
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Marta Kuc-Czarnecka dr
PeopleMarta Kuc-Czarnecka is the deputy head of the Department of Statistics and Economics at the Faculty of Management and Economics of the Gdańsk University of Technology. She also serves as the Dean's proxy for AMBA accreditation. She is a co-founder of Rethinking Economics Gdańsk and a member of the Foundation Edward Lipiński for the promotion of pluralism in economic sciences. In 2018-2022, she was Eurofound’s quality of life and...
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ESTIMATING AVERSION TO RANK INEQUALITY UNDERLYING SELECTED ITALIAN INDICES OF INCOME INEQUALITY
PublicationIn this paper, we estimate aversion to rank inequality (ATRI) underlying selected Italian income inequality indices, I, notably the Pietra index, the Bonferroni index and the “new” Zenga index. We measure ATRI by the parameter v of the generalised Gini index G(v). ATRI is distinct from aversion to income inequality, as measured by parameter ε of Atkinson’s index A(ε). We propose eliciting v from the equation I = GE(v). As, in general,...
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IRAP tax differentiation in Italian Regions
Open Research DataThe following table presents the widespread differentiation in the standard IRAP rates applied in the particular regions of Italy. The tax rates in the table have been updated to 2019 (Only Regions marked with "*" updated their tax rates to the 2020 tax period as of March 16, 2020).
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Exploring efficiency differentials between Italian and Polish universities, 2001-2011
PublicationIn this study, data envelopment analysis (DEA) is used to evaluate the relative efficiency of a sample of 54 Italian and 30 Polish state universities over the period 2001–11. The investigation was conducted in two steps. Unbiased DEA efficiency scores were first estimated and then regressed on external variables to quantitatively assess the direction and size of the impact of potential determinants. The analysis reveals a strong...