201 research outputs found

    Cross-Country Heterogeneity in Government Transparency and Citizens’ Political Efficacy. A Multilevel Empirical Analysis

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    Using cross-country data from the Citizenship database of the 2004 International Social Survey Programme (ISSP) and relying on multilevel mixedeffects modeling, we investigate the link between government transparency and citizens’ external political efficacy. Results indicate that transparency enhances the perception of institutions’ responsiveness to citizens’ actions, but also highlight that this effect is mediated by citizens’ level of education. In particular, while for better educated people the magnitude of government transparency’s effect on citizens’ external efficacy is substantial, the same effect is negligible for less educated citizens who appear to be “lost in transparency.

    Reforming railways in the EU: An empirical assessment of liberalisation policies in the European rail freight market

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    peer reviewedOver the last decades, the rail sector has seen considerable reform in the European Union (EU). The overreaching goal has been to revitalise this sector and to make it more competitive to attract traffic from firms operating in other transport markets. By retrieving information from the OECD’s ETCR database, this paper focuses on the rail freight service market and answers the following research question: have liberalisation reform policies increased the market share of rail freight services in the EU? By contributing to the existing literature on the empirical assessment of liberalisation policies in the EU, our findings indicate a positive impact of liberalisation on the market shares of rail freight services. Nevertheless, the paper suggests that merely relying on these policies to sustain the economic growth of rail-freight firms might not suffice alone and that might be important to combine them with other policy solutions such as more environmental-friendly regulations

    Modal acoustic transfer vector approach in a FEM–BEM vibro-acoustic analysis

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    The aim of the present work is to set up an integrated approach for an automobile vibro-acoustic analysis, useful to assess, visualise and compare vibro-acoustic performance to pre-determined design targets, while identifying and quantifying the forces and sound sources responsible for the current behaviour. Such design approach, based on experimental and numerical procedures, enables the prediction of noise emissions and the correlation with the structural vibration source. Vibro-acoustic prediction in the low- to mid-frequency range is generally performed through finite element method (FEM) or boundary element method (BEM) but in this work a combined usage of the two methodologies is adopted: FEM is used for the structural dynamics and BEM for the acoustic problem resolution. The BE methodology adopted is based on an indirect formulation and on a variational solution scheme. The adopted FEM-BEM approach takes advantage of the Modal Acoustic Transfer Vector algorithm that is particularly useful when big problems are to be analysed. The comparison between numerical and experimental results enables an assessment of the accuracy level

    The Gender Wage Gap among Ph.D. Holders: Evidence from Italy

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    This paper contributes to the literature on the gender wage gap by empirically analyzing those workers who hold the highest possible educational qualification, i.e., a Ph.D. The analysis relies on recent Italian cross-sectional data collected through a survey on the employment conditions of Ph.D. holders. The Oaxaca-Blinder decomposition analysis and quantile decomposition analysis are carried out, and the selection of Ph.D. holders into employment and STEM/non-STEM fields of specialization is taken into account. Findings suggest that a gender gap in hourly wages exists among Ph.D. holders, with sizeable differences by sector of employment and field of specialization

    Caring more about food: The unexpected positive effect of the Covid-19 lockdown on household food management and waste()

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    Over half of the total amount of food wasted in Europe concerns household food waste which is mainly due to incorrect food management habits and behaviour. During the Covid-19 outbreak, food management and consumption habits changed dramatically due to the tough lockdown restrictions imposed by governments to reduce infection. This study investigated how these dramatic changes in the daily lives of consumers influenced the generation of food waste at household level. A CAWI questionnaire was administered to a sample of 1078 Italian consumers during the lockdown (March–April 2020). The respondents were asked to self-estimate the percentage of food their households wasted before and during the lockdown and to explain their food management habits. We focused the analysis on the differences between the food the respondents declared to have wasted before and during lockdown, which revealed that most households threw away less food during the Covid-19 lockdown compared to the pre-Covid situation. We referred to Seemingly Unrelated Regression models to evaluate the association between the food waste behaviour in the two periods considered in the study and the other factors observed. The results disclosed that young consumers and people who started implementing good food management practices (shopping list, meal planning etc.) more frequently considerably reduced the food they wasted during lockdown. Also, the logistical difficulties of grocery shopping experienced by consumers during lockdown made them manage their household food consumption more carefully, which led to a reduction in the amount of food wasted
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