Market-Based Instruments for ecosystem services: institutional innovation or renovation?

Recent years have seen widespread experimentation with market-based instruments (MBIs) for the provision of environmental goods and ecosystem services. However, little attention has been paid to their design or to the effects of the underlying pro-market narrative on environmental policy instruments. The purpose of this article is to analyze the emergence and dissemination of the term "market-based instruments" applied to the provision of environmental services and to assess to what extent the instruments associated are genuinely innovative. The recommendation to develop markets can lead in practice to a variety of institutional forms, as we show it based on the example of payments for environmental services (PES) and biodiversity offsets, two very different mechanisms that are both presented in the literature as MBIs. Our purpose is to highlight the gap between discourse and practice in connection with MBIs.

COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography.

Tractography is a class of algorithms aiming at in vivo mapping the major neuronal pathways in the white matter from diffusion magnetic resonance imaging (MRI) data. These techniques offer a powerful tool to noninvasively investigate at the macroscopic scale the architecture of the neuronal connections of the brain. However, unfortunately, the reconstructions recovered with existing tractography algorithms are not really quantitative even though diffusion MRI is a quantitative modality by nature. As a matter of fact, several techniques have been proposed in recent years to estimate, at the voxel level, intrinsic microstructural features of the tissue, such as axonal density and diameter, by using multicompartment models. In this paper, we present a novel framework to reestablish the link between tractography and tissue microstructure. Starting from an input set of candidate fiber-tracts, which are estimated from the data using standard fiber-tracking techniques, we model the diffusion MRI signal in each voxel of the image as a linear combination of the restricted and hindered contributions generated in every location of the brain by these candidate tracts. Then, we seek for the global weight of each of them, i.e., the effective contribution or volume, such that they globally fit the measured signal at best. We demonstrate that these weights can be easily recovered by solving a global convex optimization problem and using efficient algorithms. The effectiveness of our approach has been evaluated both on a realistic phantom with known ground-truth and in vivo brain data. Results clearly demonstrate the benefits of the proposed formulation, opening new perspectives for a more quantitative and biologically plausible assessment of the structural connectivity of the brain.

State-Society Relationships, Social Trust and the Development of Labour Market Policies in Italy and Sweden

The first decade of the twenty-first century may be remembered for the rebirth of consensus on labour market policy. After three decades of bitter political and ideological controversy between a neo-liberal and a traditional social democratic approach, a new model, often labelled flexicurity, has emerged. This model is promoted by numerous political organisations since it promises to put an end to the old trade-off between equality and efficiency. Several countries are embracing the flexicurity model as a blueprint for labour market reform, but others, mostly belonging to the 'Mediterranean Rim', are clearly lagging behind. Why is it so difficult for these countries to implement the flexicurity model? This paper argues that the application of a flexicurity strategy in these countries is complicated by the lack of social trust between social partners and the state as well as political economy traditions that highlight the role of labour market regulation as a source of social protection.

Subjective health assessments and active labor market participation of older men: evidence from a semiparametric binary choice model with nonadditive correlated individual-specific effects

We use panel data from the U. S. Health and Retirement Study, 1992-2002, to estimate the effect of self-assessed health limitations on the active labor market participation of older men. Self-assessments of health are likely to be endogenous to labor supply due to justification bias and individual-specific heterogeneity in subjective evaluations. We address both concerns. We propose a semiparametric binary choice procedure that incorporates nonadditive correlated individual-specific effects. Our estimation strategy identifies and estimates the average partial effects of health and functioning on labor market participation. The results indicate that poor health plays a major role in labor market exit decisions.