1,720,954 research outputs found
Expenditure allocation for Rural Development interventions: main trends and patterns in the choices of the Italian Regions under the CAP 2023-2027
No full textThe introduction of the new delivery model in the 2023-2027 Common Agricultural Policy increased the decision-making and management autonomy of Member States and their regions when implementing Rural Development policies. Thus, understanding the drivers behind allocation choices for rural development funds is crucial. This study analyses the allocation of rural development funds across Italian regions, considering ex-ante share allocation for different types of Rural Development interventions. A cluster analysis is then performed. Different groups of Italian regions are characterised using the indicators developed within the common monitoring and evaluation framework, the allocation of spending in the previous programming period, and other variables. Four clusters of Italian regions are identified: cluster 1 includes rural regions with low urbanisation, prioritising supporting interventions in disadvan taged areas and “environmental” ones; cluster 2 shows large allocation for cooperation interventions; cluster 3 includes regions funding primarily agricultural investments; cluster 4 shows no distinct or unique characteristics. This study is the first one address ing expenditure allocation of the 2023-2027 Common Agricultural Policy. It confirms that expenditure patterns partially couple with geographical and historical similarities, although two main spending priorities (i.e. “environment” and “investments”) persist
Expenditure Allocation for Rural Development interventions in the CAP 2023-2027: the choices of Italian regions
No full textopenLa politica agricola comune (PAC) si compone di due pilastri: il primo finanzia sostegni diretti e misure di mercato mentre il secondo è destinato allo sviluppo rurale. Dalle origini della PAC, quest’ultimo è cresciuto notevolmente in termini finanziari e conseguentemente anche strategici, arrivando ad equiparare la spesa per il primo. Sin dalla loro nascita, le politiche di sviluppo rurale sono state gestite in modo decentrato lasciando notevole autonomia decisionale e gestionale ai territori (Stati Membri e regioni). Questa tendenza si è accresciuta ancor più con la modifica del sistema di governance, ovvero il new delivery model introdotto nell’ultimo ciclo di programmazione della PAC (2023-2027). Diviene pertanto fondamentale comprendere i possibili meccanismi che spingono le regioni europee a compiere le scelte allocative dei fondi per lo sviluppo rurale.
Questo studio analizza il comportamento ex-ante delle regioni italiane. La ripartizione percentuale della spesa delle regioni per le diverse tipologie di intervento previste per lo sviluppo rurale è stata sottoposta a cluster analysis individuando alcuni gruppi di regioni che presentano caratteristiche di spesa simili. Successivamente ognuno dei cluster è stato caratterizzato sfruttando gli indici sviluppati in seno al quadro comune di monitoraggio e valutazione (QCMV), la ripartizione della spesa per la programmazione precedente ed ulteriori variabili, al fine di individuare le determinati dell’allocazione compiuta dalle regioni.
I risultati suggeriscono che le regioni italiane possono essere ripartite in quattro cluster, ognuno caratterizzato da una direttrice di spesa ben precisa. Nel primo gruppo, che comprende regioni a ridotta urbanizzazione ed elevata ruralità, si finanziano prioritariamente interventi di sostegno a zone svantaggiate e interventi di carattere “ambientale”. Il secondo mostra una dotazione maggiore della media per interventi di cooperazione in agricoltura e qui si è rilevata un’occupazione femminile in agricoltura sorprendentemente alta. Il gruppo che finanzia prioritariamente interventi di investimento include invece le regioni con tessuto urbano ed industriale più sviluppato oltre che un settore agricolo altamente specializzato. È stato, infine, individuato un gruppo di regioni in cui non si evincono elementi caratterizzanti e univocamente distintivi rispetto agli altri cluster.The Common Agricultural Policy (CAP) consists of two pillars: the first finances income supports and market measures, while the second is dedicated to rural development. Since the set-up of the CAP, the latter has grown significantly both financially and strategically, reaching expenditure levels comparable to the former one. Since its origin, rural development policies have been managed in a decentralized manner, granting significant decision-making and management autonomy to regions (Member States and regions). This trend has increased even more with the modification of the governance system, namely the new delivery model introduced in the latest CAP programming cycle (2023-2027). Therefore, it is crucial to understand the possible mechanisms driving European regions to make allocative choices for rural development funds.
This study analyses the ex-ante behaviour of Italian regions. The percentage distributions of regional spending for the different types of interventions provided for rural development were used as input variables for cluster analysis, identifying several groups of regions with similar spending characteristics. Subsequently, each cluster was characterized using indicator developed within the common monitoring and evaluation framework (CMEF), the distribution of spending for the previous programming period, and additional variables, to identify the determinants of the regions' allocation decisions.
Results suggest that Italian regions can be divided into four clusters, each of them characterized by a specific spending direction. In the first group, which includes regions with low urbanization and high rurality, priority is given to supporting interventions in disadvantaged areas and "environmental" interventions. The second group shows a higher-than-average allocation for cooperation interventions in agriculture, where a surprisingly high female employment in agriculture was observed. The group that primarily finances investment interventions includes regions with more developed urban and industrial fabrics as well as a highly specialized agricultural sector. Finally, a group of regions was identified where no distinct and uniquely characteristic elements were evident compared to the other clusters
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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