Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to COVID-19. Are you interested to view more results? Visit OpenAIRE - Explore.
4 Research products, page 1 of 1

  • COVID-19
  • Research software
  • Other research products
  • Other ORP type
  • EU
  • Mémoires en Sciences de l'Information et de la Communication
  • HAL Descartes
  • COVID-19

Relevance
arrow_drop_down
  • French
    Authors: 
    Gerschel, Elie; Martinez, Alejandra; Mejean, Isabelle;
    Publisher: HAL CCSD
    Country: France
    Project: ANR | IPS (ANR-11-IDEX-0003), EC | TRADENET (714597)

    International audience; Avant de se propager à l’échelle mondiale, l’épidémie de coronavirus est apparue dans la province du Hubei. Pour contenir la propagation du virus, le gouvernement chinois a imposé des mesures de quarantaine, entraînant un ralentissement de l’activité économique. Nous étudions ici la manière dont ce ralentissement de la production, initialement limité à la province de Hubei, se diffuse à l’économie mondiale via les chaînes de valeur internationales. La dépendance à l’égard des intrants chinois a augmenté de manière spectaculaire depuis le début des années 2000. De ce fait, la plupart des pays sont exposés au ralentissement de l’activité en Chine, à la fois directement via leurs importations de produits intermédiaires chinois et indirectement, du fait de la valeur ajoutée chinoise incorporée à d’autres intrants à la production. Cette note quantifie l’exposition totale de la France comparée à celle d’autres pays. Dans un premier temps, nous calculons la part de la valeur ajoutée chinoise dans la production française. Ensuite, nous utilisons des données au niveau des pays et des secteurs pour quantifier l’impact des mesures de quarantaine sur le PIB français.

  • English
    Authors: 
    Rufat, Samuel; Plattard, Odile; Fekete, Alexander; GILLI, Ludivine; Hudson, Paul; Santoni, Victor;
    Publisher: HAL CCSD
    Country: France
    Project: EC | RESILOC (833671)

    The Second ENCORE European conference in October 2021 in Paris, France, has gathered two communities, the Risk Perception and Behaviour Survey of Surveyors (Risk-SoS) and the H2020-DRS01 Cluster on risk perception and adaptive behaviour (a grouping of several Horizon Europe – Disaster Resilient Societies projects, most notably RESILOC, BUILDERS, ENGAGE, LINKS, CORE and Risk PACC). During the Covid-19 pandemic lockdowns in 2020 and 2021 the monthly Risk-SoS webinars have been keeping the risk perception and adaptive behaviour research community together with panels on the role of theories in research on hazards adaptation, resilience and vulnerability. Topics were on risk perception and behaviour across challenges and time, across disciplines and methods, as well as panel and longitudinal approaches, and workshops on theories and methods to advance the design of a collective surveying approach with potentially common questions and answers’ scales to foster comparability. The Risk-SoS webinars have also been discussing the results of the Survey of Surveyors and sustaining the collective effort to build a harmonised approach for risk perception and adaptive behaviour assessment. In an hybrid format, the Second ENCORE conference has gathered 25 researchers and experts from 10 countries (Austria, Belgium, France, Germany, the Netherlands, Poland, Spain, Sweden, Switzerland and the United Kingdom) at the Ministry of Research in Paris, France.

  • English
    Authors: 
    Karageorgis, Aris; Panagopoulos, Yiannis; Kastanidi, Erasmia; Destouni, Georgia; Kalantari, Zahra; Seifollahi-Aghmiuni, Samaneh; Maneas, Giorgos; Othoniel, Benoit; Lescot, Jean-Marie; Leccia-Phelpin, Odile; +12 more
    Publisher: HAL CCSD
    Country: France
    Project: EC | COASTAL (773782)

    Existing research and administration primarily addresses coastal and rural development from either a land- or sea-based perspective, making policy recommendations ill-adapted to fully benefit from opportunities which could otherwise foster synergistic economic development of coastal regions and the hinterland. The aim of the H2020 project COASTAL (https://h2020-coastal.eu), which started in May 2018, is to identify these opportunities by improved understanding of the social-ecological land-sea interactions. To this end, coastal and rural stakeholders interacted with local experts in six Multi-Actor Labs throughout the EU Territory. Causal Loop Diagrams, System Dynamics (SD) models, scenarios and other tools have been developed to support the design of evidence-based business road maps and policy guidelines. This WP4 deliverable (D14) is a status report for the progress made with the design and implementation of the operational land-sea models by the Multi-Actor Labs (MALs) after 36 months. The report builds on the deliverable D13 describing the system architecture and database for the draft models (Viaene et al., 2020). These operational stock-flow models are now available for all MALs and can be used to analyse systemic land-sea interactions and evaluate different policy alternatives with examples described in this deliverable. Not surprisingly, the project and systems modelling were affected by the impacts of the covid-19 pandemic. Planned formal and informal meetings with partners to jointly discuss the progress of the modelling, technical and design problems, and work out solutions had to be organised as online events which turned out to be far less effective despite of the number of meetings. Nevertheless, all MALs were able to identify the key stock and flow variables and quantify the social-environmental interactions connecting these variables. In the final phase of the project, these models will be combined with quantified scenarios to address system uncertainties and used to visualize business road maps and policy actions. This will help make policy and business recommendations evidence-based and allow comparison of proposed strategies for coastal-rural development, including best practices and system tipping points. Topics range from fish farming, sustainable water management, eco farming and rural tourism to renewable energy, and are being examined in the context of the EU Green Deal. Important methodological lessons can be learned from the modelling exercise. Model complexity should be tuned to the purpose of holistic policy analysis with enough consideration for cross-thematic aspects. Stakeholders are best engaged in the co-creation process by focusing on the policy implications rather than the underlying modelling, even if their feedback on models is constructive and useful. A step-by-step design strategy supported with system archetypes and concrete examples is essential for facilitating the translation of causal loop diagrams into operational policy models. To conclude, we provide a synthesis section in which the general status of the MAL models is summarised and in which we reflect on the progress made with the modelling and provide an outlook for remaining challenges in the modelling process.; This WP4 deliverable (D14) is a status report for the progress made with the design and implementation of the operational land-sea models by the Multi-Actor Labs (MALs) after 36 months. The report builds on the deliverable D13 describing the system architecture and database for the draft models (Viaene et al., 2020). These operational stock-flow models are now available for all Multi Actor Labs and can be used to analyse systemic land-sea interactions and evaluate different policy alternatives with examples described in this deliverable. Not surprisingly, the project and systems modelling were affected by the impacts of the covid-19 pandemic. Planned formal and informal meetings with partners to jointly discuss the progress of the modelling, technical and design problems, and work out solutions had to be organised as online events which turned out to be far less effective despite of the number of meetings. Nevertheless, all MALs were able to identify the key stock and flow variables and quantify the social-environmental interactions connecting these variables. In the final phase of the project, these models will be combined with quantified scenarios to address system uncertainties and used to visualize business road maps and policy actions. This will help make policy and business recommendations evidence-based and allow comparison of proposed strategies for coastal-rural development, including best practices and system tipping points. Topics range from fish farming, sustainable water management, eco farming and rural tourism to renewable energy, and are being examined in the context of the EU Green Deal. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement N° 773782 This document was produced under the terms and conditions of Grant Agreement No. 773782 for the European Commission. It does not necessary reflect the view of the European Union and in no way anticipates the Commission's future policy in this area Dissemination level PU Public X CO Confidential, restricted under conditions set out in Model Grant Agreement CI Classified information as referred to in Commission Decision 2001/844/EC); Ce livrable WP4 (D14) est un état d'avancement de la conception et de la mise en œuvre des modèles opérationnels terre-mer par les Multi-Actor Labs (MALs) après 36 mois. Le rapport s'appuie sur le livrable D13 décrivant l'architecture du système et la base de données pour les projets de modèles (Viaene et al., 2020). Ces modèles opérationnels stock-flux sont désormais disponibles pour tous les laboratoires multi-acteurs et peuvent être utilisés pour analyser les interactions systémiques terre-mer et évaluer différentes alternatives politiques avec des exemples décrits dans ce livrable. Sans surprise, la modélisation du projet et des systèmes a été affectée par les impacts de la pandémie de covid-19. Des réunions formelles et informelles planifiées avec des partenaires pour discuter conjointement de l'avancement de la modélisation, des problèmes techniques et de conception, et trouver des solutions ont dû être organisées sous forme d'événements en ligne qui se sont avérés beaucoup moins efficaces malgré le nombre de réunions. Néanmoins, tous les MAL ont pu identifier les principales variables de stock et de flux et quantifier les interactions socio-environnementales reliant ces variables. Dans la phase finale du projet, ces modèles seront combinés à des scénarios quantifiés pour répondre aux incertitudes du système et utilisés pour visualiser les feuilles de route commerciales et les actions politiques. Cela aidera à fonder les recommandations politiques et commerciales sur des données probantes et permettra de comparer les stratégies proposées pour le développement côtier et rural, y compris les meilleures pratiques et les points de basculement du système. Les sujets vont de la pisciculture, la gestion durable de l'eau, l'agriculture écologique et le tourisme rural aux énergies renouvelables, et sont examinés dans le cadre du Green Deal de l'UE. Ce projet a reçu un financement du programme de recherche et d'innovation Horizon 2020 de l'Union européenne dans le cadre de la convention de subvention n° 773782 Ce document a été produit dans le cadre de la convention de subvention n° 773782 pour la Commission européenne. Il ne reflète pas nécessairement le point de vue de l'Union européenne et n'anticipe en aucune manière sur la politique future de la Commission dans ce domaine. /844/CE)

  • Other research product . Other ORP type . 2020
    English
    Authors: 
    Gerschel, Elie; Martinez, Alejandra; Mejean, Isabelle;
    Publisher: HAL CCSD
    Country: France
    Project: ANR | ECODEC (ANR-11-LABX-0047), EC | TRADENET (714597)

    International audience; Before spreading globally, the Covid-19 epidemic was concentrated in the Hubei province. To contain the spread of the virus, the Chinese government has imposed quarantine measures and travel restrictions, entailing the slowdown of economic activity. We study the propagation of this geographically concentrated productivity slowdown to the global economy, through global value chains. Reliance on Chinese inputs has dramatically increased since the early 2000s. As a consequence, most countries are exposed to the Chinese productivity slowdown, both directly through their imports of Chinese inputs and indirectly, through other inputs themselves produced with some Chinese value added. This note aims at quantifying the total exposure of France compared to other countries. First, we compute the share of Chinese value added in French production. Then, we use data at the country and sector levels to quantify the impact of travel restrictions on French GDP.