scholarly journals Legislative Participation in the EU: An analysis of questions, speeches, motions and declarations in the 7th European Parliament

2018 ◽  
Vol 19 (2) ◽  
pp. 299-320 ◽  
Author(s):  
Miriam Sorace
Keyword(s):  
Negative Binomial ◽  
Negative Binomial Regression ◽  
European Parliament ◽  
Legislative Politics ◽  
Activity Levels ◽  
The European Union ◽  
Binomial Regression ◽  
Legislative Activities ◽  
Written Questions ◽  
The Eu

Which legislative activities in the European Parliament are ‘pluralistic’ – i.e. undertaken by all Members of the European Parliament, irrespective of legislative and electoral status? What type of parliamentary activity – if any – is dominated by party leaderships or vote-seekers in the European Union? This study will advance our knowledge of legislative politics in the EU by determining whether its legislature conforms to expectations from the legislative behaviour literature. This study compares the participation patterns in the EP7 (2009–2014) parliamentary questions, speeches, motions and written declarations via multilevel negative binomial regression. It makes use of a dataset on activity levels and demographics of 842 individual Members of the European Parliament serving between 2009 and 2014. The findings highlight that highly procedurally constrained activities, such as speeches and oral questions, are dominated by frontbenchers and vote-seekers, while procedurally ‘freer’ activities – written questions in particular – are very representative of the population of Members of the European Parliament. The analysis finds that there are both ‘pluralistic’ and vote-seeking activities in the ‘second order’ EU legislature, and that participation patterns broadly conform to patterns found in other established representative democracies.

Corporate political strategies in Europe: The determinants of firms' access to the European Commission

2019 ◽  
Vol 22 (2) ◽  
pp. 307-338
Author(s):  
Amanda M. Alves
Keyword(s):  
European Commission ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Political Knowledge ◽  
Sustainable Competitive Advantage ◽  
The European Union ◽  
Political Strategies ◽  
Binomial Regression ◽  
Political Environments ◽  
Corporate Political Strategies

AbstractCorporate political strategies have been used extensively by firms attempting to shape their political environments. In this context, access to targeted policymakers is essential to allow their deployment. Thus, we propose to study the determinants of access to the European Commission representatives. This research builds on the resource-based view (RBV) of firms to argue that political knowledge is a valuable resource to increase firms' degree of access to the European Commission. To test our hypotheses, we built a novel dataset merging firms characteristics with lobbying meetings information, and analyze it through negative binomial regression. The results suggest the importance of political knowledge, emphasizing that it may represent a source of sustainable competitive advantage. This study highlights interesting information that broadens the understanding of corporate political strategies in the European Union.

scholarly journals Loneliness, physical activity and mental health during Covid-19: a longitudinal analysis of depression and anxiety between 2015 and 2020

2020 ◽  
Author(s):  
Byron Creese ◽  
Zunera Khan ◽  
William Henley ◽  
Siobhan O’Dwyer ◽  
Anne Corbett ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Risk Factors ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Annual Data ◽  
Activity Levels ◽  
Binomial Regression ◽  
Mental Health Questionnaire ◽  
The Impact

BackgroundLoneliness and physical activity are important targets for research into the impact of COVID-19 because they have established links with mental health, could be exacerbated by social distancing policies and are potentially modifiable.MethodWe analysed mental health data collected during COVID-19 from adults aged 50 and over alongside comparable annual data collected between 2015 and 2019 from the same sample. Trajectories of depression (PHQ-9) and anxiety (GAD-7) were analysed with respect to loneliness, physical activity levels and a number of socioeconomic and demographic characteristics using zero-inflated negative binomial regression.Results3,281 people completed the COVID-19 mental health questionnaire, all had at least one data point prior to 2020. In 2020, the adjusted PHQ-9 score for loneliness was 3.2. (95% CI: 3.0-3.4), an increase of one point on previous years and 2 points higher than people not rated lonely, whose score did not change in 2020 (1.2, 95% CI: 1.1-1.3). PHQ-9 was 2.6 (95% CI: 2.4-2.8) in people with decreased physical activity, an increase of 0.5 on previous years. In contrast, PHQ-9 in 2020 for people whose physical activity had not decreased was 1.7 (95% CI: 1.6-1.8), similar to previous years. A similar relationship was observed for GAD-7 though the differences were smaller and the absolute burden of symptoms lower.ConclusionsAfter accounting for pre-COVID-19 trends, we show that experiencing loneliness and decreased physical activity are risk factors for worsening mental health during the pandemic. Our findings highlight the need to examine policies which target these potentially modifiable risk factors.

scholarly journals Evaluating the Impact of the Lisbon Treaty on the European Union’s Legislative Productivity

Politeja ◽  
2019 ◽  
Vol 15 (54) ◽  
pp. 229-241
Author(s):  
Adam Kirpsza
Keyword(s):  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Treaty Of Lisbon ◽  
Binomial Regression ◽  
Legislative Proposals ◽  
Legislative Procedure ◽  
Ordinary Legislative Procedure ◽  
Legislative Productivity ◽  
The Impact ◽  
The Eu

The purpose of this article is to analyze whether the Treaty of Lisbon provisions have – as expected – increased the EU legislative productivity. To this end, the author tests the hypothesis that the TL has increased the number of legislative proposals submitted by the European Commission under the ordinary legislative procedure. This expectation is verified using a negative binomial regression on a dataset containing 1116 draft acts proposed by the Commission in 2004‑2014. The analysis shows that, contrary to expectations, the Treaty of Lisbon has not led to a visible increase in EU legislative productivity. Despite the extension of treaty bases envisaging the OLP and QMV, the number of proposals submitted under this procedure after the entry into force of the TL remained more or less at the same level as before. In addition, the study reveals that adaptation, anticipation of future enlargement, closeness to the end of the EP term as well as annual schedule of legislative work are key predictors of the Commission’s productivity.

TTIP, CETA, and TiSA Behind Closed Doors

2017 ◽  
Author(s):  
Panagiotis Delimatsis
Keyword(s):  
European Union ◽  
Global Governance ◽  
Early Stage ◽  
European Parliament ◽  
Trade Negotiations ◽  
The European Union ◽  
The Us ◽  
The Eu

Secrecy and informality rather than transparency traditionally reign trade negotiations at the bilateral, regional, and multilateral levels. Yet, transparency ranks among the most basic desiderata in the grammar of global governance and has been regarded as positively related to legitimacy. In the EU’s case, transparent trade diplomacy is quintessential for constitutional—but also for broader political—reasons. First, even if trade matters fall within the EU’s exclusive competence, the EU executive is bound by the Treaty on the Functioning of the European Union (TFEU) to inform the European Parliament, the EU co-legislator, in regular intervals. Second, transparency at an early stage is important to address public reluctance, suspicion, or even opposition regarding a particular trade deal. This chapter chronicles the quest for and turning moments relating to transparency during the EU trade negotiations with Canada (CETA); the US (TTIP), and various WTO members on services (TiSA).

scholarly journals Is area deprivation associated with greater impacts of COVID-19 in care homes across England? A preliminary analysis of COVID-19 outbreaks and deaths

2021 ◽  
pp. jech-2020-215039 ◽  
Author(s):  
Anders Malthe Bach-Mortensen ◽  
Michelle Degli Esposti
Keyword(s):  
Negative Binomial ◽  
Care Home ◽  
Negative Binomial Regression ◽  
Population Characteristics ◽  
Care Homes ◽  
Future Research ◽  
Area Deprivation ◽  
Binomial Regression ◽  
Index Of Multiple Deprivation

IntroductionThe COVID-19 pandemic has disproportionately impacted care homes and vulnerable populations, exacerbating existing health inequalities. However, the role of area deprivation in shaping the impacts of COVID-19 in care homes is poorly understood. We examine whether area deprivation is linked to higher rates of COVID-19 outbreaks and deaths among care home residents across upper tier local authorities in England (n=149).MethodsWe constructed a novel dataset from publicly available data. Using negative binomial regression models, we analysed the associations between area deprivation (Income Deprivation Affecting Older People Index (IDAOPI) and Index of Multiple Deprivation (IMD) extent) as the exposure and COVID-19 outbreaks, COVID-19-related deaths and all-cause deaths among care home residents as three separate outcomes—adjusting for population characteristics (size, age composition, ethnicity).ResultsCOVID-19 outbreaks in care homes did not vary by area deprivation. However, COVID-19-related deaths were more common in the most deprived quartiles of IDAOPI (incidence rate ratio (IRR): 1.23, 95% CI 1.04 to 1.47) and IMD extent (IRR: 1.16, 95% CI 1.00 to 1.34), compared with the least deprived quartiles.DiscussionThese findings suggest that area deprivation is a key risk factor in COVID-19 deaths among care home residents. Future research should look to replicate these results when more complete data become available.

scholarly journals Association between fatality rate of COVID-19 and selenium deficiency in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hai-Yang Zhang ◽  
An-Ran Zhang ◽  
Qing-Bin Lu ◽  
Xiao-Ai Zhang ◽  
Zhi-Jie Zhang ◽  
...  
Keyword(s):  
Negative Binomial ◽  
Viral Infections ◽  
Case Fatality ◽  
Selenium Deficiency ◽  
Negative Binomial Regression ◽  
Negative Binomial Regression Model ◽  
Fatality Rate ◽  
Selenium Content ◽  
Individual Level ◽  
Binomial Regression

Abstract Background COVID-19 has impacted populations around the world, with the fatality rate varying dramatically across countries. Selenium, as one of the important micronutrients implicated in viral infections, was suggested to play roles. Methods An ecological study was performed to assess the association between the COVID-19 related fatality and the selenium content both from crops and topsoil, in China. Results Totally, 14,045 COVID-19 cases were reported from 147 cities during 8 December 2019–13 December 2020 were included. Based on selenium content in crops, the case fatality rates (CFRs) gradually increased from 1.17% in non-selenium-deficient areas, to 1.28% in moderate-selenium-deficient areas, and further to 3.16% in severe-selenium-deficient areas (P = 0.002). Based on selenium content in topsoil, the CFRs gradually increased from 0.76% in non-selenium-deficient areas, to 1.70% in moderate-selenium-deficient areas, and further to 1.85% in severe-selenium-deficient areas (P < 0.001). The zero-inflated negative binomial regression model showed a significantly higher fatality risk in cities with severe-selenium-deficient selenium content in crops than non-selenium-deficient cities, with incidence rate ratio (IRR) of 3.88 (95% CIs: 1.21–12.52), which was further confirmed by regression fitting the association between CFR of COVID-19 and selenium content in topsoil, with the IRR of 2.38 (95% CIs: 1.14–4.98) for moderate-selenium-deficient cities and 3.06 (1.49–6.27) for severe-selenium-deficient cities. Conclusions Regional selenium deficiency might be related to an increased CFR of COVID-19. Future studies are needed to explore the associations between selenium status and disease outcome at individual-level.

scholarly journals Statistical models for analyzing count data: predictors of length of stay among HIV patients in Portugal using a multilevel model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ahmed Nabil Shaaban ◽  
Bárbara Peleteiro ◽  
Maria Rosario O. Martins
Keyword(s):  
Length Of Stay ◽  
Regression Model ◽  
Random Effects ◽  
Count Data ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Comprehensive Approach ◽  
Negative Binomial Regression Model ◽  
Hiv Patients ◽  
Binomial Regression

Abstract Background This study offers a comprehensive approach to precisely analyze the complexly distributed length of stay among HIV admissions in Portugal. Objective To provide an illustration of statistical techniques for analysing count data using longitudinal predictors of length of stay among HIV hospitalizations in Portugal. Method Registered discharges in the Portuguese National Health Service (NHS) facilities Between January 2009 and December 2017, a total of 26,505 classified under Major Diagnostic Category (MDC) created for patients with HIV infection, with HIV/AIDS as a main or secondary cause of admission, were used to predict length of stay among HIV hospitalizations in Portugal. Several strategies were applied to select the best count fit model that includes the Poisson regression model, zero-inflated Poisson, the negative binomial regression model, and zero-inflated negative binomial regression model. A random hospital effects term has been incorporated into the negative binomial model to examine the dependence between observations within the same hospital. A multivariable analysis has been performed to assess the effect of covariates on length of stay. Results The median length of stay in our study was 11 days (interquartile range: 6–22). Statistical comparisons among the count models revealed that the random-effects negative binomial models provided the best fit with observed data. Admissions among males or admissions associated with TB infection, pneumocystis, cytomegalovirus, candidiasis, toxoplasmosis, or mycobacterium disease exhibit a highly significant increase in length of stay. Perfect trends were observed in which a higher number of diagnoses or procedures lead to significantly higher length of stay. The random-effects term included in our model and refers to unexplained factors specific to each hospital revealed obvious differences in quality among the hospitals included in our study. Conclusions This study provides a comprehensive approach to address unique problems associated with the prediction of length of stay among HIV patients in Portugal.

scholarly journals Association between breakfast skipping and metabolic outcomes by sex, age, and work status stratification

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Jun Heo ◽  
Won-Jun Choi ◽  
Seunghon Ham ◽  
Seong-Kyu Kang ◽  
Wanhyung Lee
Keyword(s):  
Regression Analysis ◽  
Negative Binomial ◽  
Metabolic Diseases ◽  
Young Male ◽  
Negative Binomial Regression ◽  
Final Analysis ◽  
Work Status ◽  
Breakfast Skipping ◽  
Metabolic Outcomes ◽  
Binomial Regression

Abstract Background The association between breakfast skipping and abnormal metabolic outcomes remains controversial. A comprehensive study with various stratified data is required. Objective The aim of this study was to investigate the relationship between abnormal metabolic outcomes and breakfast skipping by sex, age, and work status stratification. Methods We used data from the Korea National Health and Nutrition Examination Surveys from 2013 to 2018. A total of 21,193 (9022 men and 12,171 women) participants were included in the final analysis. The risk of metabolic outcomes linked to breakfast skipping was estimated using the negative binomial regression analysis by sex, work status, and age stratification. Results A total of 11,952 (56.4%) participants consumed breakfast regularly. The prevalence of abnormal metabolic outcomes was higher among those with irregular breakfast consumption habits. Among young male workers, negative binomial regression analysis showed that irregular breakfast eaters had a higher risk of abnormal metabolic outcomes, after adjusting for covariates (odds ratio, 1.15; 95% confidence interval, 1.03–1.27). Conclusions The risk of abnormal metabolic outcomes was significant in young men in the working population. Further studies are required to understand the association of specific working conditions (working hours or shift work) with breakfast intake status and the risk of metabolic diseases.

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