2 resultados para empirical data
em Archive of European Integration
Resumo:
The aim of this paper is to analyse the proposed Directive on criminal sanctions for insider dealing and market manipulation (COM(2011)654 final), which represents the first exercise of the European Union competence provided for by Article 83(2) of the Treaty on the Functioning of the European Union. The proposal aims at harmonising the sanctioning regimes provided by the Member States for market abuse, imposing the introduction of criminal sanctions and providing an opportunity to critically reflect on the position taken by the Commission towards the use of criminal law. The paper will discuss briefly the evolution of the EU’s criminal law competence, focusing on the Lisbon Treaty. It will analyse the ‘essentiality standard’ for the harmonisation of criminal law included in Article 83(2) TFEU, concluding that this standard encompasses both the subsidiarity and the ultima ratio principles and implies important practical consequences for the Union’s legislator. The research will then focus on the proposed Directive, trying to assess if the Union’s legislator, notwithstanding the ‘symbolic’ function of this proposal in the financial crisis, provides consistent arguments on the respect of the ‘essentiality standard’. The paper will note that the proposal raises some concerns, because of the lack of a clear reliance on empirical data regarding the essential need for the introduction of criminal law provisions. It will be stressed that only the assessment of the essential need of an EU action, according to the standard set in Article 83(2) TFEU, can guarantee a coherent choice of the areas interested by the harmonisation process, preventing the legislator to choose on the basis of other grounds.
Resumo:
This paper presents an empirical methodology for studying the reallocation of agricultural labour across sectors from micro data. Whereas different approaches have been employed in the literature to better understand the mobility of labour, looking at the determinants to exit farm employment and enter off-farm activities, the initial decision of individuals to work in agriculture, as opposed to other sectors, has often been neglected. The proposed methodology controls for the selectivity bias, which may arise in the presence of a non-random sample of the population, in this context those in agricultural employment, which would lead to biased and inconsistent estimates. A 3-step multivariate probit with two selection and one outcome equations constitutes the selected empirical approach to explore the determinants of farm labour to exit agriculture and switch occupational sector. The model can be used to take into account the different market and production structures across European member states on the allocation of agricultural labour and its adjustments.