Search

This paper deals with the complex relationship between innovation and the labor market, analyzing the impact of new technological advancements on overall employment, skills and wages. After a critical review of the extant literature and the available empirical studies, novel evidence is presented on the distribution of labor-saving automation (namely robotics and AI), based on natural language processing of US patents. This mapping shows that both upstream high-tech providers and downstream users of new technologies - such as Boeing and Amazon - lead the underlying innovative effort.

The recent surge of patent disputes plays an important role in discouraging firms from entering new technology domains (TDs). Using a large-scale dataset combining data from the EPO-PATSTAT database and ORBIS-IP and containing patents applied at EPO between 2000 and 2015, we construct a new measure of litigiousness using patent opposition data. We find that the degree of litigiousness and the density of patent thickets negatively affect the likelihood of firms entering new TDs. Across technologies, the frequency of oppositions discourages firms mostly in high-tech industries. Across firms, the risk of opposition falls disproportionately on small rather than large firms. Finally, for large firms, we observe a sort of learning-by-being-opposed effect. This evidence suggests that litigiousness and hold-up potential discourage firms from entering new TDs, shaping Schumpeterian patterns of innovation characterized by a stable number of large-established firms and a lower degree of turbulence.

This paper investigates the impact of investment in automation- and AI- related goods on within-firm wage inequality in the French economy during the period 2002-2017. We document that most of wage inequality in France is accounted for by differences among workers belonging to the same firm, rather than by differences between sectors, firms, and occupations. Using an event-study approach on a sample of firms importing automation and AI-related goods, we find that spike events related to the adoption of automation- or AI-related capital goods are not followed by an increase in within-firm wage nor in gender inequality. Instead, wages increase by 1% three years after the events at different percentiles of the distribution. Our findings are not linked to a rent-sharing behavior of firms obtaining productivity gains from automation or AI adoption. Instead, if the wage gains do not differ across workers along the wage distribution, worker heterogeneity is still present. Indeed, aligned with the framework in Abowd et al. (1999b), most of the overall wage increase is due to the hiring of new employees. This adds to previous findings showing picture of a ‘labor friendly’ effect of the latest wave of new technologies within adopting firms.

This paper investigates how investment in automation-intensive goods impacts on worker flows at the firm level and, within firms, across occupational categories. Resorting to an integrated dataset encompassing detailed information on firms, their imports, and employer-employee data for French manufacturing employers over 2002-2015, we identify "automation spikes" using imports of intermediates embedding automation technologies and then test their impact on employment dynamics. We find that automation spikes are positively correlated with preceding and contemporaneous growth in employment, mainly due to lower separation rates of investing firms. These differential patterns of net and gross worker flows do not appear to change significantly across different types of workers (occupational categories, "techies", routine-intensive vs. non routine-intensive jobs).

This work offers an overview of recent formalizations of organizational capabilities and learning. We first present the main characteristics both of NK models and of the approach based on Classifier Systems, focusing on their early applications to organization studies. We then discuss how the use of these models has contributed, in the recent years, to the formal analysis of the development and change of firm's dynamic capabilities by improving our understanding of processes of organizational learning and adaptation, and of the relationship between cognitive and governance issues.

This paper investigates the determinants of export behavior among Indian manufacturing firms, focusing in particular on the role of technology, cost and imported intermediate inputs. Our evidence suggests that innovation, in particular R&D, positively affects both firms' probability to export and firms' export volumes. We also find that imported intermediate inputs, incorporating foreign technology, play an important role in expanding export activities of firms. On the other hand, we find that higher productivity or lower unit labour costs are not systematically associated with the probability to enter export market, but they do positively affect export volumes.

This article investigates the characteristics of high-growth (HG) firms in Chinese manufacturing, and further explores the effects of firm characteristics on persistence of high-growth. We employ a multidimensional definition of HG firms that simultaneously accounts for growth of sales and employment. Exploiting a representative panel covering the period of the China's miracle, we find that HG firms outperform other firms, showing higher productivity, higher profitability, larger investment intensity, higher sales from product innovation, lower interest expenses and lower leverage. HG firms are also relatively young, larger in size, more often exporters and more concentrated in non-State-controlled companies. However, regression analysis suggests that none of the indicators of structural characteristics and performance considered above displays any statistical association with the ability to persistently replicate high-growth over time. The results speak against the long-run effectiveness of policies supporting the creation and backing of high-growth firms.

This work investigates how the export status of the firm influences the patterns of growth at different age classes. We address this research question resorting to a novel set of data that links together the universe of Italian firms and detailed data on export transactions. We find that the positive relationship between export status and growth declines with firm age. Further, we also find that, even when accounting for the role of age, the negative size-growth relationship does not disappear, contrary to some recent evidence. These results, which are robust to a series of controls, suggest for a positive signaling role of the export status which is stronger for young exporters or born globals. Exploiting the product-country level dimension of the customs data we also provide, for the first time, evidence on differences in exchange rates pass through between young and experienced exporters. In particular, we find that early exporters appear to be well equipped to face exchange rates variations as their exports decrease less following a currency appreciation.

This paper presents a broad set of empirical regularities about selection and market shares reallocation in manufacturing industries of France, Germany, UK and USA. We first disentangle the contribution to industry-level productivity growth of within-firm productivity changes and between-firms reallocation of shares. The evidence corroborates that within-firm learning prevails over competitive selection. Second, we address the strength of reallocation by exploring if and to what extent firm growth rates are shaped by relative productivity levels in deviation from industry average and by the over time variation of productivities themselves. The econometric analysis accounts for both the dynamic dimension of the selection process and idiosyncratic firm-specific factors. We find that changes, rather than relative levels, are the dominant productivity-related determinant of relative growth rates.

This paper presents a critical overview of some recent attempts at building formal models of organizations as information-processing and problem-solving entities. We distinguish between two classes of models according to two distinct objects of analysis. The first class includes models mainly addressing information processing and learning; the second class includes models focusing upon the relationship between the division of cognitive labor and search process in some problem-solving space. The results begin to highlight important comparative properties regarding the impact on problem-solving efficiency and learning of different forms of hierarchical governance, the dangers of lock-in associated with specific forms of adaptive learning, the relative role of online vs. offline learning, the impact of the cognitive maps which organizations embody, the possible trade-offs between accuracy and speed of convergence associated with different decomposition schemes, the (ambiguous) role of organizational memory in changing environments. We argue that these are important formal tools towards the development of a comparative institutional analysis focusing on the distinct properties of different forms of organization and accumulation of knowledge.

Was the adoption of the spinning jenny profitable only in England? No. The present work finds that the jenny was profitable also in France. Such result contrasts recent findings on the topic by revising basic computations on the profitability of the spinning jenny.

This work investigates how the export status of the firm influences the patterns of growth at different age classes. We address this research question resorting to a novel set of data that links together the universe of Italian firms and detailed data on export transactions. We find that the positive relationship between export status and growth declines with firm age. Further, we also find that, even when accounting for the role of age, the negative size-growth relationship does not disappear, contrary to some recent evidence. These results, which are robust to a series of controls, suggest for a positive signaling role of the export status which is stronger for young exporters or born globals. Exploiting the product-country level dimension of the customs data we also provide, for the first time, evidence on differences in exchange rates pass through between young and experienced exporters. In particular, we find that early exporters appear to be well equipped to face exchange rates variations as their exports decrease less following a currency appreciation.

This work investigates how the export status of the firm influences the patterns of growth at different age classes. We address this research question resorting to a novel set of data that links together the universe of Italian firms and detailed data on export transactions. We find that the positive relationship between export status and growth declines with firm age. Further, we also find that, even when accounting for the role of age, the negative size-growth relationship does not disappear, contrary to some recent evidence. These results, which are robust to a series of controls, suggest for a positive signaling role of the export status which is stronger for young exporters or born globals. Exploiting the product-country level dimension of the customs data we also provide, for the first time, evidence on differences in exchange rates pass through between young and experienced exporters. In particular, we find that early exporters appear to be well equipped to face exchange rates variations as their exports decrease less following a currency appreciation.

This paper examines the microfoundations of the determinants of international competitiveness. It does so within the broader “technology gap” perspective whereby wide technological and organizational differences ultimately shape the patterns of trade within sectors across countries and their dynamics. First, we take stock of the incumbent evidence on the relation between cost-related and technological competition at country and sectoral level. The overall picture indeed suggests that the countries’ sectoral market shares are mainly shaped by technological factors while cost advantages/disadvantages do not seem to play any significant role. But within any sector, within any country, firms widely differ. Hence the question: does this property apply also at a micro level? Here, we first propose a heuristic model based on a generalized Polya urn process yielding such a property and, then, empirically attempt to identify the underlying dynamics at the firm level using a large panel of Italian firms, over nearly two decades. Results show that also at micro level in most sectors investments and patents correlate positively both with the probability of being an exporter and with the capacity to acquire and to increase exports, whereas labour costs show a negative effect only in some sectors. The result is reinforced when separating the short- and long-run effects, highlighting the predominant impact of technological proxies and basically the irrelevance of wage costs.