1,720,964 research outputs found

    What futures for the Apennines? The anthropo-systemic value of mountainous inner areas

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    This paper contributes to the debate on the future of mountainous inner areas experiencing chronic depopulation by evaluating the costs and benefits of their abandonment. To this end, our analysis surveys and assesses their unique territorial capital—both in its tangible and intangible elements—that is often neglected or trivialized, especially in the economic debate. We refer to these characteristics as Anthropo-systemic assets and values, namely local factors activated by local communities whose existence is threatened by the ongoing depopulation process they are experiencing. Against this background, we provide a case study regarding the 2016–17 seismic crater in Central Italy which suggests that abandoning these areas represents a local and collective net loss, even from a public budget perspective. Instead, enhancing the liveability of these contexts is essential for regenerating and reactivating their territorial capital that would otherwise be irretrievably lost

    Improving resilience at the local level: The location of essential services within inner areas. Three case studies in the Italian Marche region

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    This paper aims at supporting public policies in the location choice of essential services in inner areas. Their provision, which, at present, is completely absent or extremely limited, is reputed to foster the local resilience of settings which have been following a prolonged process of socio-economic marginalization, leading to the creation of an “inner border region”. We contribute to this debate by suggesting the importance of the provision of these services at an appropriate territorial level. By investigating three case studies in the inner areas of the Marche region, we show how and why the location choice of public utilities must concern integrated inter-municipal systems and, equally important, all their sub-municipal settlements. Based on a space-equity approach, we propose a multistep algorithm aimed at achieving a relatively equal access to basic services, combining the need for concentrating their provision in one single municipality and that of their accessibility by local communities. From a public policy perspective, these considerations stress the crucial role an integrated and multilevel governance should have when planning interventions at a local scale, especially within inner areas

    Robotization and labour dislocation in the manufacturing sectors of OECD countries: a panel VAR approach

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    Robots are the most important innovation which has affected the production process in the last three decades. Thanks to the latest advances in technology, they have been able to perform an ever-increasing number of tasks, eventually replacing human work within the whole production process. However, because of the scarcity of suitable data, the extent of this potentially disrupting process is not fully assessed. This paper makes up for the lack of empirical evidence on the effect of robotization on labour dislocation using data collected by the International Federation of Robotics (IFR) on the number of robots installed in the different manufacturing industries of 16 OECD countries over the period 2011–2016. We show that at the industry level a 1% growth in the number of robots reduces the growth rate of worked hours by 0.16, as well as the selling prices and the real values of the compensations of employees. Moreover, we show that a given sector is more likely to be robotized when it is expanding both in terms of relative prices and employee compensations. We conclude that, at least in the selected countries, the introduction of robots plays a key role in slowing down human labour and compensation growth

    Robotization, employment, and income: regional asymmetries and long-run policies in the Euro area

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    This work correlates the impact of robotization on employment and households’ income at the regional scale with the level of investment in R&D and education policies. This kind of policy, by raising the qualitative and quantitative levels of human capital, contributes to improving the complementarity effect between humans and robots, thus mitigating the substitution effect. To this end, we compute the Adjusted Penetration of Robots (APR) (a metric used to measure the extent to which robots are being used in a particular industry or sector) at the sectoral level, combining the International Federation of Robotics database for the stock of robots, EUROSTAT Regional database, and the STructural ANalysis database on 150 NUTS-2 regions of the Euro area. We then perform a spatial stacked-panel analysis on the investment in R&D and education level. Results supports the idea that regions that invest more in R&D and have higher levels of human capital can turn the risk of robotization into an increase in both income and "quantity of work," by enhancing complementarity between robots and the labor force. On the contrary, regions investing less in R&D and having lower levels of human capital may suffer a reduction in households’ disposable income

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We 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

    Dispelling the Myths Behind First-author Citation Counts

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    We 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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