scholarly journals Integrating business start-up indicators in the flexicurity concept to cover the alternative forms of employment

Author(s):  
Agnese Vaivade ◽  
Edgars Brekis ◽  
Erika Sumilo

The flexicurity concept created in the Netherlands and Denmark in the early 1990s has become the main stepping-stone in improving the performance of labour markets across the European Union Member States. The European Commission has therefore taken a leading role on broader flexicurity concept development and creation of the data analysis methodology. However, the analysis proposed by the European Commission Joint Research Centre on flexicurity indicators in 2010 only partly includes business start-ups as a flexible form of employment. This research starts the discussion on whether additional indicators should be integrated in the flexicurity analysis, because of the rising need for employment security through entrepreneurial activity.

2014 ◽  
Author(s):  
Elise Mulder Osenga

Studying the impacts of climate change requires looking at a multitude of variables across a broad range of sectors [1,2]. Information on the variables involved is often unevenly available or offers different uncertainties [3,4], and a lack of uniform terminology and methods further complicates the process of analysis, resulting in communication gaps when research enterprises span different sectors. For example, models designed by experts in one given discipline might assume conventions in language or oversimplify cross-disciplinary links in a way that is unfamiliar for scientists in another discipline. Geospatial Semantic Array Programming (GeoSemAP) offers the potential to move toward overcoming these challenges by promoting a uniform approach to data collection and sharing [5]. The Joint Research Centre of the European Commission has been exploring the use of geospatial semantics through a module in the PESETA II project (Projection of economic impacts of climate change in sectors of the European Union based on bottom-up analysis). <BR/>This manuscript has been accepted for publication in IEEE Earthzine 2014 Vol. 7 Issue 2, 2nd quarter theme: Geospatial Semantic Array Programming. The definitive version will be published at: http://www.earthzine.org/


2019 ◽  
Author(s):  
Marco Sangiorgi ◽  
Miguel A. Hernández Ceballos ◽  
Giorgia Iurlaro ◽  
Giorgia Cinelli ◽  
Marc de Cort

Abstract. The Radioactivity Environmental Monitoring data bank (REMdb) was created in the aftermath of the Chernobyl accident (1986) by the European Commission (EC) – DG Joint Research Centre (DG JRC), sited in Ispra (Italy). Since then it has been maintained there with the aim to keep a historical record of the Chernobyl accident and to store the radioactivity monitoring data gathered through the national environmental monitoring programs of the Member States (MSs). The legal basis is the Euratom Treaty, Chapter III Health and Safety, Articles 35 and 36, which clarifies that MSs shall periodically communicate to the EC information on environmental radioactivity levels. By collecting and validating this information in the REMdb, JRC supports the DG for Energy in its responsibilities in returning qualified information to the MSs (competent authorities and general public) on the levels of radioactive contamination of the various compartments of the environment (air, water, soil) on the European Union scale. The REMdb accepts data on radionuclide concentrations from EU MSs in both environmental samples and foodstuffs from 1984 onwards. To date, the total number of data records stored in REMdb exceeds five million, in this way providing the scientific community with a valuable archive of environmental radioactivity topics in Europe. Records stored in the REMDdb are publicly accessible until 2006 through an unrestricted repository ("REM data bank – Years 1984–2006" http://doi.org/10.2905/jrc-10117-10024). Access to data from 2007 onwards is granted only after explicit request, until the corresponding monitoring report is published. Each data record contains information describing the sampling circumstances (sampling type, begin-end time), measurement conditions (value, nuclide, apparatus, etc.), location and date of sampling and original data reference. In this paper the scope, features and extension of the REMdb are described in detail.


2019 ◽  
Vol 11 (2) ◽  
pp. 589-601 ◽  
Author(s):  
Marco Sangiorgi ◽  
Miguel Angel Hernández Ceballos ◽  
Giorgia Iurlaro ◽  
Giorgia Cinelli ◽  
Marc de Cort

Abstract. The Radioactivity Environmental Monitoring data bank (REMdb) was created in the aftermath of the Chernobyl accident (1986) by the European Commission (EC) – Directorate-General Joint Research Centre (DG JRC), sited in Ispra (Italy). Since then it has been maintained there with the aim to keep a historical record of the Chernobyl accident and to store the radioactivity monitoring data gathered through the national environmental monitoring programs of the member states (MSs). The legal basis is the Euratom Treaty, Chapter III Health and Safety, Articles 35 and 36, which clarify that MSs shall periodically communicate to the EC information on environmental radioactivity levels. By collecting and validating this information in REMdb, JRC supports the DG for Energy in its responsibilities in returning qualified information to the MSs (competent authorities and general public) on the levels of radioactive contamination of the various compartments of the environment (air, water, soil) on the European Union scale. REMdb accepts data on radionuclide concentrations from EU MSs in both environmental samples and foodstuffs from 1984 onwards. To date, the total number of data records stored in REMdb exceeds 5 million, in this way providing the scientific community with a valuable archive of environmental radioactivity topics in Europe. Records stored in REMdb are publicly accessible until 2011 through an unrestricted repository “REM data bank – Years 1984–2006” https://doi.org/10.2905/jrc-10117-10024 (De Cort et al., 2007) and “REM data bank – Years 2007–2011” https://doi.org/10.2905/de42f259-fafe-4329-9798-9d8fabb98de5 (De Cort et al., 2012). Access to data from 2012 onwards is granted only after explicit request, until the corresponding monitoring report is published. Each data record contains information describing the sampling circumstances (sampling type, begin and end time), measurement conditions (value, nuclide, apparatus, etc.), location and date of sampling, and original data reference. In this paper the scope, features and extension of REMdb are described in detail.


Author(s):  
Aron Perenyi ◽  
Roxanne Zolin ◽  
Alex Maritz

Purpose Why is self-employment an attractive option for certain seniors and what drives seniors into business start-ups? In this study, the motivations and preferences of senior entrepreneurs in Australia, to become self-employed, by means of business start-ups, are explored. The purpose of this paper is to provide empirical basis for policy implications. Design/methodology/approach A mixed methods study is conducted. Members of the National Senior’s Association in Australia were interviewed and surveyed. The semi-structured interviews identified the key factors influencing senior entrepreneurs in relation to self-employment and entrepreneurial choices at a later career stage. The survey collected information on intentionality, motivation, skills, opportunities, success, satisfaction, participation, barriers, benefits, education and training, and perceptions of policy support for senior entrepreneurs. Findings Respondents gave an account of the prevalence of pull factors motivating their choice of an entrepreneurial career. Multivariate statistical analysis of survey responses showed that senior entrepreneurs are more driven by opportunity than necessity and are primarily internally motivated. Research limitations/implications Results of this study suggest a weak link between motivation by others and the act of start-up, but this may also imply that those seniors who are more likely to become entrepreneurs are more likely to ignore the impulses from their social context. This requires further investigation to ensure a robust identification of drivers and an elimination of contextual effects. Further research is suggested to compose a relevant model structure in different contexts and a representative sample to confirm the model outcomes. Originality/value This is the first mixed methods study of the antecedents of senior entrepreneurs’ start-up intentions in Australia. The study also uses entrepreneurial activity as opposed to intention as its dependent variable, which allows for a more accurate evaluation of antecedents to the senior entrepreneurship phenomenon.


2020 ◽  
Vol 12 (2) ◽  
pp. 560 ◽  
Author(s):  
Carolina Perpiña Castillo ◽  
Eloína Coll Aliaga ◽  
Carlo Lavalle ◽  
José Carlos Martínez Llario

This article presents a study based on the outputs from the LUISA Territorial modelling platform (Joint Research Centre of the European Commission) focused on regional and local future projections of land abandonment between 2015 and 2030. Spain is taken as representative of one of the countries highly affected by agricultural land abandonment in the European Union. The most relevant factors driving land abandonment (biophysical, agroeconomics, farm structure and demographic) are described and mapped. Results from the analysis reveal that the Galicia region, northern Spain (Asturias, Cantabria, Gipuzkoa, Bizkaia), north-eastern Spain (Aragón region), central Pyrenees/Ebro basin (Huesca, Navarra, Lleida) and south-eastern Spain (Murcia, Almería, Alicante, Málaga) are expected to undergo important abandonment processes. The study also concludes that land abandonment within mountainous, high nature value farmland and Natura 2000 areas is lower compared to the outside area without conservation and protection measures.


2020 ◽  
Vol 9 (2) ◽  
pp. 121 ◽  
Author(s):  
Kavisha Kumar ◽  
Hugo Ledoux ◽  
Richard Schmidt ◽  
Theo Verheij ◽  
Jantien Stoter

This paper presents our implementation of a harmonized data model for noise simulations in the European Union (EU). Different noise assessment methods are used by different EU member states (MS) for estimating noise at local, regional, and national scales. These methods, along with the input data extracted from the national registers and databases, as well as other open and/or commercially available data, differ in several aspects and it is difficult to obtain comparable results across the EU. To address this issue, a common framework for noise assessment methods (CNOSSOS-EU) was developed by the European Commission’s (EC) Joint Research Centre (JRC). However, apart from the software implementations for CNOSSOS, very little has been done for the practical guidelines outlining the specifications for the required input data, metadata, and the schema design to test the real-world situations with CNOSSOS. We describe our approach for modeling input and output data for noise simulations and also generate a real world dataset of an area in the Netherlands based on our data model for simulating urban noise using CNOSSOS.


Impact ◽  
2018 ◽  
Vol 2018 (3) ◽  
pp. 4-5 ◽  
Author(s):  
Elke Anklam

The Joint Research Centre is the Commission's science and knowledge service. The JRC employs scientists to carry out research in order to provide independent scientific advice and support to EU policy.


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