1,720,955 research outputs found
Régionalisation avancée, capital humain et dynamique du marché du travail : le cas de Béni Mellal-Khénifra
No full textThis article analyzes how advanced regionalization influences labor market dynamics in the Beni Mellal-Khenifra region through the lever of human capital. Using annual data covering the period 1999–2024, combining HCP statistics and administrative information on training (centers, supervisors, beneficiaries), an ARDL model and its error correction mechanism highlight a stable long-term relationship between the variables studied. The results show that an increase in the number of supervisors and beneficiaries is associated with an improvement in the activity rate, while unemployment has a negative effect. On the other hand, the number of centers and, to a lesser extent, regional GDP appear to be negatively related to participation, which may reflect allocation effects or spatial and sectoral mismatches between the skills offered and local needs. In the short term, economic growth appears to be positively correlated with participation, reflecting a favorable response of employment to the high phases of the cycle. Overall, the findings confirm the validity of the model while calling for caution in the face of certain signs of stability. From an operational perspective, the results argue for a qualitative improvement in training programs—supervision, adequacy of courses—and more effective coordination between regional governance, the productive fabric, and human capital development policies. The limitations of the study, particularly the sample size and the annual dimension of the data, open the way for future regional panel studies and more accurate measurements of actual skills.
Keywords: Advanced regionalization, Human capital, Labor market dynamics, Regional development, Employment and participation, Economic convergence, Spatial and sectoral mismatches, Regional governance, Training and education policies
ClassificationJEL : C22 ; O15 ; R58
Paper type: Empirical ResearchCet article analyse comment la régionalisation avancée influe, par le levier du capital humain, sur la dynamique du marché du travail dans la région de Béni Mellal‑Khénifra. À partir de données annuelles couvrant la période 1999–2024, combinant statistiques du HCP et informations administratives sur la formation (centres, encadrants, bénéficiaires), un modèle ARDL et son mécanisme d’erreur-correction mettent en évidence une relation de long terme stable entre les variables étudiées. Les résultats montrent que la hausse du nombre d’encadrants et de bénéficiaires est associée à une amélioration du taux d’activité, tandis que le chômage exerce un effet négatif. En revanche, le nombre de centres et, dans une moindre mesure, le PIB régional semblent liés négativement à la participation, ce qui peut refléter des effets d’allocation ou des inadéquations spatiales et sectorielles entre compétences offertes et besoins locaux. À court terme, la croissance économique apparaît corrélée positivement à la participation, traduisant une réaction favorable de l’emploi aux phases hautes du cycle. Globalement, les diagnostics confirment la validité du modèle tout en appelant à la prudence face à certains signaux de stabilité. D’un point de vue opérationnel, les résultats plaident pour une amélioration qualitative des dispositifs de formation — encadrement, adéquation des filières — et une coordination plus efficace entre gouvernance régionale, tissu productif et politiques de développement du capital humain. Les limites de l’étude, notamment la taille de l’échantillon et la dimension annuelle des données, ouvrent la voie à de futurs travaux en panel régional et à des mesures plus précises des compétences effectives.
Mots clés : Régionalisation avancée, Capital humain, Dynamique du marché du travail, Développement régional, Emploi et participation, Convergence économique, Désajustements spatiaux et sectoriels, Gouvernance régionale, Politiques de formation et d’éducation.
JEL Classification : C22 ; O15 ; R58
Type du papier : Recherche empiriqu
Régionalisation avancée, capital humain et dynamique du marché du travail : le cas de Béni Mellal-Khénifra
No full textThis article analyzes how advanced regionalization influences labor market dynamics in the Beni Mellal-Khenifra region through the lever of human capital. Using annual data covering the period 1999–2024, combining HCP statistics and administrative information on training (centers, supervisors, beneficiaries), an ARDL model and its error correction mechanism highlight a stable long-term relationship between the variables studied. The results show that an increase in the number of supervisors and beneficiaries is associated with an improvement in the activity rate, while unemployment has a negative effect. On the other hand, the number of centers and, to a lesser extent, regional GDP appear to be negatively related to participation, which may reflect allocation effects or spatial and sectoral mismatches between the skills offered and local needs. In the short term, economic growth appears to be positively correlated with participation, reflecting a favorable response of employment to the high phases of the cycle. Overall, the findings confirm the validity of the model while calling for caution in the face of certain signs of stability. From an operational perspective, the results argue for a qualitative improvement in training programs—supervision, adequacy of courses—and more effective coordination between regional governance, the productive fabric, and human capital development policies. The limitations of the study, particularly the sample size and the annual dimension of the data, open the way for future regional panel studies and more accurate measurements of actual skills.
Keywords: Advanced regionalization, Human capital, Labor market dynamics, Regional development, Employment and participation, Economic convergence, Spatial and sectoral mismatches, Regional governance, Training and education policies
ClassificationJEL : C22 ; O15 ; R58
Paper type: Empirical ResearchCet article analyse comment la régionalisation avancée influe, par le levier du capital humain, sur la dynamique du marché du travail dans la région de Béni Mellal‑Khénifra. À partir de données annuelles couvrant la période 1999–2024, combinant statistiques du HCP et informations administratives sur la formation (centres, encadrants, bénéficiaires), un modèle ARDL et son mécanisme d’erreur-correction mettent en évidence une relation de long terme stable entre les variables étudiées. Les résultats montrent que la hausse du nombre d’encadrants et de bénéficiaires est associée à une amélioration du taux d’activité, tandis que le chômage exerce un effet négatif. En revanche, le nombre de centres et, dans une moindre mesure, le PIB régional semblent liés négativement à la participation, ce qui peut refléter des effets d’allocation ou des inadéquations spatiales et sectorielles entre compétences offertes et besoins locaux. À court terme, la croissance économique apparaît corrélée positivement à la participation, traduisant une réaction favorable de l’emploi aux phases hautes du cycle. Globalement, les diagnostics confirment la validité du modèle tout en appelant à la prudence face à certains signaux de stabilité. D’un point de vue opérationnel, les résultats plaident pour une amélioration qualitative des dispositifs de formation — encadrement, adéquation des filières — et une coordination plus efficace entre gouvernance régionale, tissu productif et politiques de développement du capital humain. Les limites de l’étude, notamment la taille de l’échantillon et la dimension annuelle des données, ouvrent la voie à de futurs travaux en panel régional et à des mesures plus précises des compétences effectives.
Mots clés : Régionalisation avancée, Capital humain, Dynamique du marché du travail, Développement régional, Emploi et participation, Convergence économique, Désajustements spatiaux et sectoriels, Gouvernance régionale, Politiques de formation et d’éducation.
JEL Classification : C22 ; O15 ; R58
Type du papier : Recherche empiriqu
Régionalisation avancée, capital humain et dynamique du marché du travail : le cas de Béni Mellal-Khénifra
No full textThis article analyzes how advanced regionalization influences labor market dynamics in the Beni Mellal-Khenifra region through the lever of human capital. Using annual data covering the period 1999–2024, combining HCP statistics and administrative information on training (centers, supervisors, beneficiaries), an ARDL model and its error correction mechanism highlight a stable long-term relationship between the variables studied. The results show that an increase in the number of supervisors and beneficiaries is associated with an improvement in the activity rate, while unemployment has a negative effect. On the other hand, the number of centers and, to a lesser extent, regional GDP appear to be negatively related to participation, which may reflect allocation effects or spatial and sectoral mismatches between the skills offered and local needs. In the short term, economic growth appears to be positively correlated with participation, reflecting a favorable response of employment to the high phases of the cycle. Overall, the findings confirm the validity of the model while calling for caution in the face of certain signs of stability. From an operational perspective, the results argue for a qualitative improvement in training programs—supervision, adequacy of courses—and more effective coordination between regional governance, the productive fabric, and human capital development policies. The limitations of the study, particularly the sample size and the annual dimension of the data, open the way for future regional panel studies and more accurate measurements of actual skills.
Keywords: Advanced regionalization, Human capital, Labor market dynamics, Regional development, Employment and participation, Economic convergence, Spatial and sectoral mismatches, Regional governance, Training and education policies
ClassificationJEL : C22 ; O15 ; R58
Paper type: Empirical ResearchCet article analyse comment la régionalisation avancée influe, par le levier du capital humain, sur la dynamique du marché du travail dans la région de Béni Mellal‑Khénifra. À partir de données annuelles couvrant la période 1999–2024, combinant statistiques du HCP et informations administratives sur la formation (centres, encadrants, bénéficiaires), un modèle ARDL et son mécanisme d’erreur-correction mettent en évidence une relation de long terme stable entre les variables étudiées. Les résultats montrent que la hausse du nombre d’encadrants et de bénéficiaires est associée à une amélioration du taux d’activité, tandis que le chômage exerce un effet négatif. En revanche, le nombre de centres et, dans une moindre mesure, le PIB régional semblent liés négativement à la participation, ce qui peut refléter des effets d’allocation ou des inadéquations spatiales et sectorielles entre compétences offertes et besoins locaux. À court terme, la croissance économique apparaît corrélée positivement à la participation, traduisant une réaction favorable de l’emploi aux phases hautes du cycle. Globalement, les diagnostics confirment la validité du modèle tout en appelant à la prudence face à certains signaux de stabilité. D’un point de vue opérationnel, les résultats plaident pour une amélioration qualitative des dispositifs de formation — encadrement, adéquation des filières — et une coordination plus efficace entre gouvernance régionale, tissu productif et politiques de développement du capital humain. Les limites de l’étude, notamment la taille de l’échantillon et la dimension annuelle des données, ouvrent la voie à de futurs travaux en panel régional et à des mesures plus précises des compétences effectives.
Mots clés : Régionalisation avancée, Capital humain, Dynamique du marché du travail, Développement régional, Emploi et participation, Convergence économique, Désajustements spatiaux et sectoriels, Gouvernance régionale, Politiques de formation et d’éducation.
JEL Classification : C22 ; O15 ; R58
Type du papier : Recherche empiriqu
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
- …
