1,720,999 research outputs found
Water Consumption and Long-Run Urban Development: The Case of Milan
Get PDFAnalyses of long run consumption series are rare in literature. We study the evolution of water consumption in Milan in the twentieth century. The objective is twofold: on one side, the univariate analysis tries both to assess the impact of relevant socio-economic and environmental changes on water consumption in Milan and verify if consumers have deeply rooted consumption habits. On the other side, the multivariate analysis is used to identify the socio-economic factors that are relevant in explaining consumption evolution. Results indicate both that water users have well entrenched consumption habits and that population, climate and economic structure behave more similarly, in Euclidean terms, to water consumption than to other economic and social variables.Urban consumption, Long-run, Development, Environmental changes
Water Consumption and Long-run Socio-economic Development: an Intervention and a Principal Component Analysis for the City of Milan
No full textJEL classification: C22; Q25International audienceThis paper analyses the evolution of water consumption in Milan during the twentieth century. However, dealing with a century time series raises some complicated statistic and econometric issues. To study the main research questions outlined by the literature, as the presence of consumption habits and the link between consumption and price, we use a quite original approach – based on intervention analysis and principal component analysis (PCA) – which seems to be more adequate than “regression-type” approaches to study a so long time series. Results indicate (1) how some events have modified the normal evolution of per-capita water consumption; (2) that per-capita water consumption is a very persistent series, namely, that water users should have well-developed consumption habits; (3) that per-capita consumption and water price present a strong negative correlation
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Different waves and different policy interventions in 2020 Covid-19 in Italy: did they bring different results?
Get PDFWorking Paper Ircres-CNR 05/2021. Covid-19 pandemic hit very harshly Italy in two waves: the first can be temporally placed in spring and the second between autumn and winter. Data shows some relevant differences among the two phases, in particular, the first wave caused less infection but with a higher lethality rate. These differences in epidemic and social conditions in the two phases suggested a change in the strategy of containment measures: stricter and homogeneous in the first wave, flexible and diversified in the second wave. The interrupted analysis applied to daily data of new infected shows positive results for both interventions in flattening the infection curve. Both policies achieved almost the same percentage of positives cases avoided. For this reason, these measures seem rightly tuned, in both cases, to the specific epidemic and social conditions of each wave
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
La misurazione del capitale umano: una rassegna della letteratura
Get PDFAs well known, human capital plays a crucial role both for private and social wellbeing. Notwithstanding, measurement of human capital is not univocally defined in empirical analyses, since different indicators and methods are employed and, sometimes, the proxies seem to be not very efficient for human capital econometric specification. The main aim of this paper is to provide a comprehensive review of different measurements of human capital showing the most diffused approaches based both on simple indexes and on more complex statistical and econometric tools. Since human capital is a multifaceted and complex asset, a necessary condition to better measure it is to improve its understanding and definition, which are the basic requirements of an efficient measurement. Two major results emerge from this analysis. Firstly, it appears quite clearly that the best measurement of human capital in absolute terms does not exist, but, on the contrary, methods or formula which seem the most efficient and coherent to analytical objectives should be adopted. Secondly, approaching human capital measurement, data quality and availability are essential, more than any other methodological and theoretical issue.Human capital measurement; Quantity and quality of education; Education statistics and estimation
Integration and convergence in the internal dynamics of industrial districts. A case study
No full textDispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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