1,720,956 research outputs found
Migration, Diversity, and Economic Growth. A Replication Study of Bove and Elia (World Development, 2017)
Get PDFThis study examines the antecedents of Mobile banking (M-banking) app adoption, explores post-adoption effects, and tests the moderating effect of consumer status orientation on the relationship between adoption intention and its consequences. The conceptual model hypothesized 20 relationships, including 10 moderations. Hypotheses are tested using the structural equation modeling method (PLS-SEM) on a sample of 509 individuals. The results reveal that the main variables of 'users' rational perception, namely behavioral control and terminal security, significantly influence the intention to adopt the application, which in turn impact relationship quality and financial inclusion. However, hedonic expectations do not have a significant impact on the intention to adopt the application; the impact of culture in these relationships is further established; indeed, traditional and modern values moderate the impact of the intention to adopt the application on key post-adoption factors, financial inclusion, and relationship quality. The main recommendations and limitations of the research are discussed.A recent and well known paper, Bove and Elia (2017), argues that migrants' diversity, as captured by the indexes of both fractionalization and polarization, exerts a positive effect on GDP growth. In fact, by using the same dataset and methodology, we show that the impact of diversity cannot be distinguished from that of migration itself due to the very high correlation among the corresponding variables. Also, if one disentangles migration from diversity, following Alesina et al. (2016), only migration maintains a positive impact on growth while diversity, as captured by fractionalization, turns out to be weakly and positively associated with growth, but limitedly to the 1980-2010 time span. Polarization, on the other hand, does not seem to exert any effect on growth. The question as to whether diversity is more or less beneficial in terms of economic growth remains therefore an intriguing one, and calls for more theoretical and empirical analyses, possibly based on less (geographically) aggregated data
Migration, diversity, and economic growth. A replication study of Bove and Elia (World development, 2017)
Get PDFA recent and well known paper, Bove and Elia (2017), argues that migrants’ diversity, as capturedby the indexes of both fractionalization and polarization, exerts a positive effect on GDP growth. Infact, by using the same dataset and methodology, we show that the impact of diversity cannot bedistinguished from that of migration itself due to the very high correlation among the correspondingvariables. Also, if one disentangles migration from diversity, following Alesina et al. (2016), onlymigration maintains a positive impact on growth while diversity, as captured by fractionalization,turns out to be weakly and positively associated with growth, but limitedly to the 1980-2010 timespan. Polarization, on the other hand, does not seem to exert any effect on growth. The question as to whether diversity is more or less beneficial in terms of economic growth remains therefore an intriguing one, and calls for more theoretical and empirical analyses, possibly based on less (geographically) aggregated dat
The impact of corruption on migration flows. Evidence from Sub Saharan African countries
Get PDFThis paper investigates the effect of corruption on the migration flows from SSA countries to the OECD countries between 2000 and 2019. Fixed-effects and system GMM (generalized method of moments) estimation techniques are used to establish a relationship between emigration and corruption. The empirical results indicate that when corruption increases, migration flows also increase, where corruption is measured on a scale of 0 (not corrupt) to 100 (totally corrupt). Splitting the sample by income inequality suggests that increased inequality doesn't reduce the ability to emigrate. Indeed, below and above the threshold the results are the same. Finally, splitting the sample by corruption level suggests that a high level of corruption in the home country doesn't affect the migration decision
The impact of citizenship on intermarriage: evidence from Italy
No full textAcquiring citizenship is associated with better economic and social opportunities for immigrants. This paper examines how, in a country with a large fraction of migrants, marriage decisions respond to a change in the legal status of foreign residents. The variation in the relationship between citizenship status and the propensity for mixed marriages could be influenced by the dominance of either the assimilation hypothesis or the status exchange hypothesis. Using individual-level data from the populated municipality of Modena, Emilia- Romagna (Italy), we find that the assimilation hypothesis prevails: the more immigrants integrate into host countries, the more likely they are to marry natives. Specifically, our results show that acquiring citizenship not only increases the likelihood of marriage but also significantly boosts the formation of mixed couples
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
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
Dispelling 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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