Outsourcing and structural change. Application to a set of OECD countries

The examination in this paper aims to bridge outsourcing and structural change analyses in order to obtain more accurate insights into the extent of outsourcing and to extract more reliable policy recommendations for dealing with its effects. We do this by applying a ‘battery’ of outsourcing measurements to a group of OECD countries from 1980 to the mid 1990s. Expected results (e.g. the idiosyncratic outsourcing patterns of the UK) are confirmed on a more systematic and comparable basis, while original results (e.g. the low integration of business services in manufacturing in the former socialist economies) are based on the exploitation of new data.     

Network Analysis of Eight Technological Systems

This paper aims to measure and compare some key relationships relative to the technological systems of eight OECD countries along three temporal spans (early 1980s, middle 1980s, early 1990s). For each technological system, a matrix of intersectoral innovation flows is constructed and network analysis is then performed to examine the density distributions of the innovative flows, and the degree of centrality/centralisation of each of its nodes.The first kind of analysis allows a quantitative comparison of the intensity of the linkages among the systemic nodes considered, while the second allows us to examine qualitatively the different internal structures identified by cutting-off flows of a certain magnitude. The main results of the paper are a clear distinction among technological systems with different structural characteristics (e.g. size, technological intensity, and institutional arrangements suggesting the existence of different 'models of capitalism'), and a clear pattern of 'convergence' among the technological systems along time.     

APPLYING SOCIAL NETWORK ANALYSIS TO INPUT–OUTPUT BASED INNOVATION MATRICES: AN ILLUSTRATIVE APPLICATION TO SIX OECD TECHNOLOGICAL SYSTEMS FOR THE MIDDLE 1990s

The paper discusses, illustrates and possibly contributes to overcoming two methodological problems that emerge in applying Social Network Analysis (SNA) to the study of IO-based innovation flows matrices. The first has to do with the scale-effects these matrices suffer from. The second refers to the need of dichotomising the matrices. Through an illustrative application to six OECD countries in the mid-1990s, the paper shows that, as for the former problem, different relativisation procedures can be, and have been, used, which either tend to alter the actual meaning of standard SNA indicators, or do not properly take into account the actual composition of countries' final demand. As for the latter problem, the paper shows that the choice of discrete cut-offs is extremely sensitive, as comparative results actually change along the continuum of the matrices values. In order to overcome the scale problem, a new relativisation procedure is put forward that measures innovation flows embodied in a unit value basket of final demand and thus properly retains all the information provided by the original matrix of intersectoral innovation (embodied) flows. In addressing the problem of dichotomisation, the paper suggests, as a second best, to work with density distributions that can make the choice of discrete cut-off values less arbitrary.     

Spatial agglomeration and firm exit: a spatial dynamic analysis for Italian provinces

The paper investigates the effect of spatial agglomeration on firm exit in a dynamic framework. Using a large dataset at the industry-province level for Italy (1998–2007), we estimate a spatial dynamic panel model via a GMM estimator and analyze the short-run impact of specialization and variety on firm exit. Specialization negatively affects firm exit rates in the short-run. The effect is particularly significant for low-tech firms. The impact of variety on firm mortality rates at the industry level is instead less clear, although still negative and significant for low-tech firms.     

Production and financial linkages in inter-firm networks: structural variety, risk-sharing and resilience

The paper analyzes how (production and financial) inter-firm networks can affect firms’ default probabilities and observed default rates. A simple theoretical model of shock transfer is built to investigate some stylized facts on how firm-idiosyncratic shocks are allocated in the network, and how this allocation changes firm default probabilities. The model shows that the network works as a perfect “risk-pooling” mechanism, when it is both strongly connected and symmetric. But the “risk-sharing” does not necessarily reduce default rates, unless the shock firms face is lower on average than their financial capacity. Conceived as cases of symmetric inter-firm networks, industrial districts might have a comparative disadvantage in front of heavy crises.     

‘Better late than never’: the interplay between green technology and age for firm growth

Small Business Economics - This paper investigates the relationship between green/non-green technologies and firm growth. By combining the literature on eco-innovations, industrial organisation and...     

Technological change and the vertical organization of industries

The vertical scope of a firm, that is, which components or segments of the production processes are kept in–house and which are outsourced, is variously considered as depending on cost and/or technological conditions. Most of the literature focuses on the incentives for an individual firm facing exogenous competition and technological opportunities. In this paper we consider the problem from the perspective of the whole industry: in what respect does firm organizational behavior depend on the industry technological evolution and aggregate structure, and how does innovation and organizational behavior affect the industry structure. We build an evolutionary simulation model of an industry where competitors decide the number of internally produced components. We relate the industry average value of market outsourcing to the technological conditions prevalent in the industry. The results from the model shed light on a number of (apparently) contradictory suggestions in the economic and management literature.     

The pro-export effect of subnational migration networks: new evidence from Spanish provinces

Review of World Economics - The paper investigates the effect that subnational networks of immigrants and emigrants had on exports from Spanish provinces (NUTS3) over the period of 2007–2016...