Obstacles and solutions on the ladder of citizen participation: a systematic review

This article presents a systematic review of the English-language empirical literature about citizen participation to identify the obstacles to its implementation and the most successful ways to address them. Three sets of variables seem to impact effectiveness: contextual factors, including information asymmetries and public officials’ attitude; organizational arrangements, including community representation criteria and process design; and process management patterns, including group dynamics and collaboration quality. Two recommendations stem from our analysis: internalize decisions in organizational procedures, and establish ongoing interactions between government bodies and their stakeholders. We conclude that half-hearted engagement is unlikely to lead to successful citizen participation.     

Modeling node heterogeneity in latent space models for multidimensional networks

Multidimensional network data can have different levels of complexity, as nodes may be characterized by heterogeneous individual-specific features, which may vary across the networks. This article introduces a class of models for multidimensional network data, where different levels of heterogeneity within and between networks can be considered. The proposed framework is developed in the family of latent space models, and it aims to distinguish symmetric relations between the nodes and node-specific features. Model parameters are estimated via a Markov Chain Monte Carlo algorithm. Simulated data and an application to a real example, on fruits import/export data, are used to illustrate and comment on the performance of the proposed models.     

Incubation matters: Measuring the effect of business incubators on the innovation performance of start‐ups

This article explores the role of business incubators on the innovation performance of start‐ups; in addition, we also investigate how the incubation effect moderates other important factors driving their innovation performance. The empirical evidence comes from a sample of firms located in Northern Italy belonging to the manufacturing (mechanical engineering firms) and service sectors (knowledge‐intensive business services). The results suggest that the incubation effect is very important in shaping the innovation performance of new ventures (measured as a percentage of sales of new‐to‐market innovations). Moreover, it positively moderates the impact of (1) the internal technical capabilities and (2) the adoption of a limited portfolio of collaborations for innovation.     

The price of rapid exit in venture capital-backed IPOs

This paper proposes an explanation for two empirical puzzles surrounding initial public offerings (IPOs). Firstly, it is well documented that IPO underpricing increases during “hot issue” periods. Secondly, venture capital (VC) backed IPOs are less underpriced than non-venture capital backed IPOs during normal periods of activity, but the reverse is true during hot issue periods: VC backed IPOs are more underpriced than non-VC backed ones. This paper shows that when IPOs are driven by the initial investor’s desire to exit from an existing investment in order to finance a new venture, both the value of the new venture and the value of the existing firm to be sold in the IPO drive the investor’s choice of price and fraction of shares sold in the IPO. When this is the case, the availability of attractive new ventures increases equilibrium underpricing, which is what we observe during hot issue periods. Moreover, I show that underpricing is affected by the severity of the moral hazard problem between an investor and the firm’s manager. In the presence of a moral hazard problem the degree of equilibrium underpricing is more sensitive to changes in the value of the new venture. This can explain why venture capitalists, who often finance firms with more severe moral hazard problems, underprice IPOs less in normal periods, but underprice more strongly during hot issue periods. Further empirical implications relating the fraction of shares sold and the degree of underpricing are presented.      

The Impact of the Global Financial Crisis and the Role of External and Internal Factors in Emerging Economies

This article assesses the impact of trade, capital openness and institutions on emerging economies’ output loss during the “Great Recession.” The fixed-effect estimates of an unbalanced panel of 122 emerging countries observed from 2008 to 2010 yield three main results. First, trade openness has exacerbated output loss. Second, capital openness can help mitigate the negative impact of an external shock, but this is conditional on the level of financial development. Finally, the results also point out that the interrelations between financial and institutional development affect the crisis’s severity.     

Atypical work: a threat to labour productivity growth? Some evidence from Italy

Various theories suggest the existence of a negative relationship between the use of atypical employment contracts and productivity growth, arguing that firms’ utilisation of atypical contracts may reduce the incentive to innovate and internal training, inducing firms to follow a ‘low-road’ to competitiveness, based upon cost-cutting strategies.

This paper aims to provide new evidence on the occurrence of these effects in the Italian economy, where changes in labour legislation from the mid-Nineties onwards, associated with an ‘institutional’ wage moderation period, have brought about a significant process of job creation, but also an appreciable slowdown in labour productivity.

This issue is investigated using a microeconomic approach, taking a rich source of microdata for firms and estimating a dynamic model for labour productivity on a pseudo-panel of firms for the period 2003-2008.

The results support the hypothesis of a negative impact of external labour flexibility on labour productivity growth at firm level, such effect proving stronger for small and medium than for large enterprises and of varying magnitude for the different atypical contracts.     

Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach

Focusing on credit risk modelling, this paper introduces a novel approach for ensemble modelling based on a normative linear pooling. Models are first classified as dominant and competitive, and the pooling is run using the competitive models only. Numerical experiments based on parametric (logit, Bayesian model averaging) and nonparametric (classification tree, random forest, bagging, boosting) model comparison shows that the proposed ensemble performs better than alternative approaches, in particular when different modelling cultures are mixed together (logit and classification tree). Copyright © 2016 John Wiley & Sons, Ltd.