Embodied technological change in supplier dominated firms

This paper identifies the role of new capital goods as the main external source of innovation for supplier dominated firms belonging to traditional consumer good industries. After a brief survey on the role of inter-industry technology flows, the results of a field study are presented concerning the amount of technological change embodied in the new machinery acquired during the 1980s by a sample of Italian manufacturing firms producing traditional consumer goods. We show that industries and firms differ in the quality of technological change embodied in (or allowed by) new capital goods, and that such differences depend on industry-specific and firm-specific factors. The former primarily refer to product characteristics, the latter mainly to the age and the affiliation of the firm with an industrial group. The final section contains some policy suggestions for fostering the diffusion of new machinery (embodying technological change) among small firms and traditional industries.     

Market impacts of the 2020 short selling bans

At the height of the COVID-19 related market stress in March 2020, six European countries implemented market-wide short selling bans. Based on a difference-in-difference approach using regulatory data, our estimation finds that the bans are associated with a deterioration in liquidity and trading volumes, and a decrease in volatility, without evidence of price impact. Remarkably, the negative impact persisted after the bans' lift. Liquidity deterioration appears stronger for liquid shares- large-cap, highly fragmented stocks, and stocks with listed derivatives. Sectoral effects are noticed for the stocks most affected by the market stress. Finally, no displacement effect was observed.     

Asset liquidity and financial contracts: Evidence from aircraft leases

Financial contracting theories agree that more-liquid assets decrease the expected cost of external financing, thus making leasing more attractive and reducing lessors’ equilibrium return. However, the literature has ambiguous predictions about the effect of liquidity on the maturity of leases. These predictions are further complicated by the existence of two types of lease contracts—operating and capital—that differ in whether asset ownership transfers to the lessee at the end of the contract. Using data from commercial aircraft, I find that more-liquid assets (1) make leasing, operating leasing in particular, more likely; (2) have shorter operating leases; (3) have longer capital leases; and (4) command lower markups of operating lease rates.     

The effects of universities' proximity to industrial districts on university–industry collaboration

There is increasing awareness that university–industry collaboration provides an important knowledge transfer channel and, thus, is a powerful driver of innovation. Universities are increasingly being asked to play incisive roles in the process of regional economic development. This paper assesses the extent to which university–industry collaboration, expressed in terms of private funding for university consulting research activities, is affected by the geographic proximity of an academic institution to an Industrial District (ID). Although the economic literature insists on the positive effects of proximity for these collaborations, empirical work on Italian ID so far shows no particular effects. This paper provides new insights into the effects of academic proximity to ID on university–industry collaboration, by presenting robust evidence that proximity to districts promotes the establishment of collaboration agreements. This sheds new light on the need for targeted policies to support local productive systems. The empirical evidence is based on an analysis of qualitative information and an econometric analysis of financial data for the whole population of Italian university departments engaged in research in the Engineering and Physical Sciences.     

Optimal safety stock levels of subassemblies and manufacturing components

In order to control the time to market and manufacturing costs, companies produce and purchase many parts and components before receiving customer orders. Consequently, demand forecasting is a critical decision process. Using modular product design and super bills of materials are two effective strategies for developing a reliable demand forecasting process. They reduce the probability of stockouts in diversified production contexts. Furthermore, managing and controlling safety stocks for pre-assembled modules provide an effective solution to the problem of minimizing the effects of forecast errors. This paper develops, evaluates, and applies innovative cost-based analytical models so that the optimal safety stock of modular subassemblies and components in assembly to order and manufacturing to order systems, respectively, can be rapidly quantified. The implementation of the proposed models in two industrial case applications demonstrates that they significantly reduce the safety stock inventory levels and the global logistical cost.     

Short-memory equilibrium in stochastic overlapping generations economies

In stochastic OLG exchange economies, we show that short-memory equilibria—the natural extension from deterministic economies of steady states, low-order cycles, or finite state-space stationary sunspots equilibria—fail to exist generically in utilities. As a result, even with independent and identically distributed exogenous shocks there is serial correlation in endogenous economic variables in equilibrium. This arises even if utilities are time-separable, some goods inferior, and there are no technological lags. Hence, the origins of economic fluctuations can be traced only to the demographic structure of a heterogeneous agent, multiple-good economy.     

Trade networks and economic fluctuations in Asian countries

The paper presents a new methodology, based on tensor decomposition, to map dynamic trade networks and to assess its strength in forecasting economic fluctuations at different periods of time in Asia. Using the monthly merchandise import and export data across 33 Asian economies, together with the US, EU and UK, we detect the community structure of the evolving network and we identify clusters and central nodes inside each of them. Our findings show that data are well represented by two communities, in which People's Republic of China and Japan play the major role. We then analyze the synchronisation between GDP growth and trade. Furthermore we apply our model to the prediction of economic fluctuations. Our findings show that the model leads to an increase in predictive accuracy, as higher order interactions between countries are taken into account.     

When do Non‐Family CEOs Outperform in Family Firms? Agency and Behavioural Agency Perspectives

Family firms represent a globally dominant form of organization, yet they confront a steep challenge of finding and managing competent leaders. Sometimes, these leaders cannot be found within the owning family. To date we know little about the governance contexts under which non‐family leaders thrive or founder. Guided by concepts from agency theory and behavioural agency theory, we examine the conditions of ownership and leadership that promote superior performance among non‐family CEOs of family firms. Our analysis of 893 Italian family firms demonstrates that these leaders outperform when they are monitored by multiple major family owners as opposed to a single owner; they also outperform when they are not required to share power with co‐CEOs who are family members, and who may be motivated by parochial family socioemotional priorities.     

Labor Income Taxation,Human Capital,and Growth: The Role of Childcare*

In this paper, we examine the effects of labor income taxation on growth in an overlapping generations model in which schooling and childcare play a role in the production of human capital. We compare such effects with those obtained in a model in which only schooling matters for skill formation. We show that the omission of childcare from the technology of skill formation can bias the results related to the impact of labor income taxation on growth.     

SHAKEOUTS AND MARKET CRASHES*

This article provides a microfoundation for the rise in optimism that seems to precede market crashes. Small, young markets are more likely to experience stock‐price run‐ups and crashes. We use a Zeira–Rob type of model in which demand size is uncertain. Optimism then grows rationally if traders' prior distribution over market size has a decreasing hazard. Such prior beliefs are appropriate if most new markets are duds and only a few reach a large size. The crash occurs when capacity outstrips demand. As an illustration, for the period 1971–2001 we fit the model to the Telecom sector.