DIRECTED GRAPH THEORY AND THE ECONOMIC ANALYSIS OF INNOVATION

This article applies digraph theory to the theory of technological regimes. The first part of the paper identifies a number of links between the evolutionary approach and a particular version of the neoclassical approach to the economic analysis of technological change. Both these approaches are shown to take the body of presently-available technological knowledge as a quantifiable magnitude allowing firms varying in strategy, structure and core capabilities to explore a range of feasible alternatives within the frontiers imposed by such knowledge. The second part of the paper therefore considers technological knowledge to be a cognitive empirical structure which can be better defined and calculated by using the theorems of digraph theory.     

Sectoral patterns of firm exit in Italian provinces

There is considerable variation in the firm exit rate across the 103 provinces in Italy. This paper investigates a range of determinants of the exit rate for twelve different sectors in the Italian provinces for a period of eleven years. The analysis shows that the exit rate is positively affected by entry in the previous year (displacement) in the same sector. Previous exit has a different effect for the manufacturing industry as compared to the business services. More specifically, exit persists in manufacturing while in the business services it is rather exit in related sectors in the same province that leads to increased exit, probably due to the loss of clients or suppliers. The presence of industrial districts diminishes exit, especially in two manufacturing sectors (Food and Clothing), Commerce and Transport. Provinces with strong trademark activity appear to have lower exit rates.     

From Which Source Do Small Firms Derive Their Innovative Inputs? Some Evidence from Italian Industry

This paper relies upon the hypothesis that the “knowledge production function” – defined in the geographical sense – is characterized by coefficient estimates which vary with firm size. In particular, large firms depend for their innovative output on direct and indirect R&D inputs, whereas small firms more extensively exploit the spillovers from research activities carried out by universities and by other firms. This hypothesis is tested against two different sets of data: the first based on patent statistics and dealing with 20 Italian regions over the period 1978–86; the second consisting of a selected number of product innovations identified by a literature-based counting procedure and dealing with 46 Italian provinces in year 1989. The results of regression analysis support the hypothesis that firms belonging to different size classes resort to different sources for the knowledge relevant to their innovative output. In particular, industry R&D prove to play a relatively more important function than do spillovers from university research in generating innovative output in large firms, whereas the opposite is true in the case of small firms.     

Technological and organizational changes as determinants of the skill bias: evidence from the Italian machinery industry

Recent empirical literature has introduced the ‘Skill Biased Organizational Change’ (SBOC) hypothesis, according to which organizational change can be considered as one of the main causes of the skill bias (increase in the number of highly skilled workers) exhibited by manufacturing employment in developed countries. This paper focuses on the importance of the SBOC with respect to the more traditional ‘Skill Biased Technological Change’ in driving the skill composition of workers in the Italian machinery sector. A dynamic panel data analysis is proposed which uses a unique firm‐level dataset. The results show that both skilled and unskilled workers are negatively affected by technological change, while organizational change—which in turn may be linked to new technologies—is positively linked to skilled workers. Copyright © 2005 John Wiley & Sons, Ltd.     

Linking Knowledge to Productivity: A Germany-Italy Comparison Using the CIS Database

This paper employs micro-aggregated data from the FirstCommunity Innovation Survey for assessing the contribution of the level and type of R & D spending, the purchase of new machinerywith embodied technological change, economies of scale, and information sharing with client and suppliers to productivity(total sales per employee) in German and Italian firms in 20 manufacturing industries. The regression analysis confirms theresults of previous studies that R & D and technological change embodied in new machinery and capital equipment aremajor factors affecting productivity at the firm level. However, the elasticity of productivity to both R & D and embodiedtechnological change is higher in Germany than in Italy. Conversely, information sharing with clients and suppliersrelated to innovation projects does not result in higher productivity, with the exception of a few industries (inparticular those producing traditional consumer goods) in Germany.     

Diversification strategies and firm performance in Vietnam

This paper is based upon the assumption that a firm's profitability is determined by its degree of diversification which is, in turn, strongly related to the antecedent decision to carry out diversification activities. This calls for an empirical approach that permits the joint analysis of the three interrelated and consecutive stages of the overall diversification process: diversification decision, degree of diversification and outcome of diversification. We apply parametric and semi‐parametric approaches to control for sample selection and the endogeneity of the diversification decision in both static and dynamic models. For the analysis, we use the census dataset on the whole firm population in Vietnam, as a representative of transition countries. After controlling for industry fixed‐effects, the empirical evidence from the firm‐level data shows that diversification has a curvilinear effect on profitability: it improves firms’ profit up to a point, after which a further increase in diversification is associated with declining performance. This implies that firms should consider optimal levels of product diversification when they expand their product offerings beyond their core business. Other noteworthy findings include the following: (i) the factors that stimulate firms to diversify do not necessarily encourage them to extend their diversification strategy; (ii) firms that are endowed with highly technological resources and innovation investment are likely to successfully exploit diversification as an engine of growth; and (iii) while industry performance does not have a strong influence on the profitability of firms, it impacts their diversification decision as well as the degree of diversification.     

The Survival of Family Firms: The Importance of Control and Family Ties

The aim of this article is to analyze the survival patterns of a group of family firms which have already spent at least 25 years in the market. To this end, we use the Kaplan–Meier product limit estimator supplemented with qualitative information gathered by direct observation and discussions with entrepreneurs. The main findings are that small family firms which have reached their 30th year in the market face a very high risk of sudden exit, increasing with firm age. Further control carried out by means of interviews with entrepreneurs identifies problems connected with succession as one of the main causes of the decision to close down.     

Asset Specificity,R&D Financing,And The Signalling Properties of The Firm's Financial Structure

Equity financing is the optimal strategy for innovating firms, which can use their financial structure as a signalling device to attract outside investors. This situation is likely to arise when the firm undertakes a specific purpose R&D project aimed at developing a certain product innovation. Typically, innovations of this kind draw on the firm's cumulative. idiosyncratic knowledge base and, accordingly, the innovation process involves an high degree of asset specificity. Under such circumstances, the terms of debt financing will be adjusted adversely, and equity financing will represent the most economically efficient solution.

These arguments are developed in standard static principal-agent models dealing with New Technology Based Firms and publicly held large firms undertaking an aggressive R&D strategy. In the case of NTBFs, two kinds of optimal venture capital contracts are considered, which render the sharing rules independent (a) of the agent's action and (b) of both the agent's action and the specific assets involved in the transaction. Regarding innovating large firms, it is argued that in this case, too, equity represents the optimal financing strategy, and that top executives use their equity share to signal the firm's expected return stream and value to outside investors.