Firm-level training in local economic systems: Complementarities in production and firm innovation strategies

The paper presents a conceptual review over the main aspects concerning the role of human capital investments and training activities within production processes, followed by empirical evidence on two local economic systems in Northern Italy, based on recent survey data. Theoretical and empirical considerations are brought together in order to provide new insights on the role of training and the factors associated to training activities at firm level.The potential driving factors of training here analysed compounds structural characteristics, labour demand dynamics, human resource management practices, workforce features, and firm performances. We observe that training activities emerge positively associated with high-performance practices, innovative labour demand features, workforce skill level, firm size, and are affected by labour flexibility in various directions. Empirical evidence confirms most previous results but also adds further important insights. The analysis suggests that a widening gap, between few innovatively evolving and many stagnant firms, could characterise the future dynamics of the Region. The high relevance of structural variables, labour demand factors and HRM/innovation practices shows that regional industrial policies and labour policies should be jointly implemented for increasing potential firm productivity. This is a key concern for the current debate on local systems economic development in the European and Italian environment.     

Social capital and innovation dynamics in district-based local systems

The idea behind this paper is that social capital (SC) is interpreted as a component of an investment, which implies entangled private and public benefits. Within a theoretical framework that considers SC as the public component of the impure public good R&D we show that the ‘civic culture’ of the district in which a firm is located is not a sufficient incentive for the firm to increase its investment in SC, because SC/networking dynamics might positively and complementarily evolve only if the opportunity cost of investing in innovation is sufficiently low. Consequently, we focus our attention on a specialised biomedical industrial district characterised by a strong pattern of innovative activity. We observe that R&D and networking/social capital arise as complementary driving forces of innovation outputs. When the empirical evidence confirms that this complementarity plays a key role, policy efforts should be targeted toward both market and non-market characteristics, rather than solely to the production of local public goods or innovation inputs as independent elements of firm performance. This is very important in terms of policy effectiveness. In fact, we argue that SC/networking dynamics might positively evolve only if the private opportunity cost of investing in R&D innovation is sufficiently low. Nevertheless, this exogenous economic incentive works as long as complementarity, as defined here, holds.     

Education,reputation or network? Evidence on migrant workers employability

The strong adverse selection that immigrants face in hosting labour markets may induce them to adopt some behaviours or signals to modify employers’ beliefs. Relevant mechanisms for reaching this purpose are personal reputation; exploiting ethnic networks deeply rooted in the hosting country; and high educational levels used as an indirect signal of productivity. On this last point, the immigrant status needs a stronger signal compared to that necessary for a native worker, and this may lead the immigrant to accept job qualifications which are lower than those achievable through the embodied educational level.The aim of the paper is to investigate whether the above mentioned mechanisms are adopted by immigrants in Italy, a crucial country for EU immigration flows, and if they are useful in increasing immigrants’ likelihood of employment. The empirical analysis has been conducted using the dataset from a national Labour Force Survey which provides information on thousands of documented immigrants. We estimate a logit model for immigrants’ likelihood of being employed, focusing on the above mentioned mechanisms: reputation, ethnic networks and educational level. Moreover we concentrate on the interaction effects of the mechanisms and investigate whether one of them wins on the others. Results show that each of the three mechanisms is statistically and economically significant and exerts positive influence: all factors contribute to increase the immigrant's probability of being employed. Anyway, a high level of education increases the probability of being employed more than the belonging to ethnic networks deeply rooted in Italy. The specific embodied capital of workers matter relatively more. This is relevant for labour public policies in this specific realm since the human capital lever is a possible direct target in various public policies and private human capital investments.     

Probabilistic Investigation of the Life Behavior of Power Capacitors Operating Under Distorted Supply Voltage

A probabilistic approach to the problem of life evaluation of power capacitors subjected to non-sinusoidal voltage is presented. In order to account for the stochastic nature of harmonic distortion, a probability density function representing the random occurrency of non-sinusoidal voltages is employed, while the stress-failure time relationship is provided by a multi-stress life model appropriate for life evaluation of a polymeric insulation. In such a way, the knowledge of harmonic amplitude distributions provides that of stresses affecting insulation life, i.e. electric field and temperature. Thus, life evaluation under distorted supply voltage is allowed, and comparison can be made with respect to performance in sinusoidal conditions. This revised version was published online in July 2006 with corrections to the Cover Date.