Inter‐firm R&D collaborations and green innovation value: The role of family firms' involvement and the moderating effects of proximity dimensions

The present paper investigates the relationship between the involvement of family firms in R&D collaborations aimed at developing green solutions and the value of resulting innovations. To dig into this relationship, the moderating effects of two proximity dimensions (i.e., geographical distance and technological relatedness) are also assessed. Analyses are based on a sample of 156 joint patents classified into the “Alternative energy production” field, as defined by the International Patent Classification Green Inventory and successfully filed at the United States Patent and Trademark Office in the period 1997–2010 by publicly listed companies. According to our conjectures, results reveal a positive relationship between the involvement of family firms and green innovation value. Moreover, our findings show that this relationship is hindered when partners are geographically distant or technologically proximate. Eventually, we contribute to the literature on green innovation by unveiling under which conditions inter‐firm R&D collaborations lead to more valuable innovations.     

Earnings Instability and Tenure

We study the effect of tenure on earnings instability in Italy using the reforms of temporary employment contracts, which affected the average tenure of workers differentially across cohorts. We develop a model of earnings dynamics, and we exploit the variation of tenure and instability over time and across birth cohorts to estimate policy‐relevant parameters. Our results indicate that each year of tenure on the job reduces earnings instability by 11 percent; the drop is faster in the first three years of the match. Workers on a temporary contract have an earnings instability up to 100 percent higher than workers on a permanent contract.     

Convergence in OECD countries: technical change,efficiency and productivity

The aim of this study is to analyse labour productivity convergence in the OECD countries over the period 1975-90. A nonparametric frontier approach is used to calculate the Malmquist productivity index. By breaking it down, the contribution in the growth of labour productivity of technical progress, of changes in efficiency, and of the accumulation of inputs per worker are quantified. Unlike other studies, the results obtained show that technical change has worked against labour productivity convergence, since it has always been greater in the countries with higher labour productivity.     

THE PREDICTABILITY OF AGGREGATE CONSUMPTION GROWTH IN OECD COUNTRIES: A PANEL DATA ANALYSIS

We examine aggregate consumption growth predictability. We derive a dynamic consumption equation which encompasses relevant predictability factors: habit formation, intertemporal substitution, current income consumption and non‐separabilities between private consumption and both hours worked and government consumption. We estimate this equation for a panel of 15 OECD countries over the period 1972–2007, taking into account parameter heterogeneity, endogeneity and error cross‐sectional dependence using a GMM version of the common correlated effects mean group estimator. Small‐sample properties are demonstrated using Monte Carlo simulations. The estimation results support income growth as the only variable with significant predictive power for aggregate consumption growth. Copyright © 2013 John Wiley & Sons, Ltd.     

Relative export prices and firm size in imperfect markets

This paper contributes to the rising field in international trade and industrial organization. A vast sample of Italian micro data is used to study the behavior of relative export prices in imperfect markets. It is shown that relative export prices, the relation of prices a firm charges on export and domestic markets, are, in general, downward biased. Moreover, relative export prices depend negatively on firm size and market concentration, but positively on the average export share of the industry. This indicates that markets are segmented and firms are able to discriminate prices.     

Reducing the mean supply delay of spare parts using lateral transshipments policies

Lateral transshipment has been studied lately as a promising policy for increasing the performances of multi-echelon spare parts inventory system. By lateral transshipment spare parts can be moved from one location with excess inventory to another location, at the same echelon, in shortage, with the aim of reducing supply delays of spare parts. This paper will examine the relative effectiveness of two lateral shipments approaches in reducing the mean supply delay (MSD) of a non-repairable item, with respect to a classical policy of no lateral shipments. A simulation model of a two echelon supply network has been implemented and an experiment has been performed by varying different parameters of the supply network, such as the number of warehouses (locations at the lower echelon), the supply lead time from the central depot, the spare parts demand uncertainty, and the size variability of the warehouses. Results show appreciable reductions of MSD when lateral shipments are allowed with respect to the classical policy, in almost every network configuration.     

Studying processes in and around networks

The industrial marketing literature on business networks has drawn attention to the importance and yet the complexities of managing in a context of fluid and dynamic inter-organizational relationships. This context also poses significant challenges to researchers who wish to better understand the evolution of networks and the processes occurring in and around them in order to generate valuable theoretical insight and actionable knowledge for practitioners. After reviewing the nature of process research, this paper considers the key methodological choices and tradeoffs faced by process researchers interested in studying network dynamics. These choices and tradeoffs are illustrated by drawing on a series of exemplary process studies of networks derived from the entrepreneurship, strategic management, organization theory and industrial marketing literatures. The paper concludes by proposing that future studies might benefit from focusing on key network transformations and from mobilizing programmatic investments.     

RESEARCH NETWORKS AS INFRASTRUCTURE FOR KNOWLEDGE DIFFUSION IN EUROPEAN REGIONS

This paper concentrates on the role of research network infrastructure in fostering the dissemination of innovation-related knowledge. It examines the structure of collaborative networks and of knowledge transfer between research, innovation and deployment activities in the field of information and communication technology for the European Union as a whole and for several European regions. Research networks complement diffusion networks by providing additional links and by increasing the number of the organisations involved in sharing and exchanging knowledge. Two types of actors are key players in these networks: hubs and gatekeepers. Hubs maintain the bulk of ties in the networks also helping the smaller and more isolated members remain connected. Gatekeepers bridge research and diffusion networks. Such organisations naturally offer greater policy leverage in establishing a European knowledge infrastructure. Moreover, strengthened inter-network connectivity among research and diffusion activities (deployment) would raise the effectiveness of European research in terms of accelerating innovation.