R&;D spillovers and firms’ performance in Italy

Using a translog production function we estimate the impact of R&D spillovers on the output performance of Italian manufacturing firms over the period 1998-2003. Technological flows are measured through an asymmetric similarity index that takes also into account the geographical proximity of firms. Results show that R&D spillovers positively affect firms production and that geography matters in determining the role of the external technology. Moreover, we find that the effect of R&D spillovers is high in the Centre-South of Italy and that the stock of R&D spillovers is Morishima complement to the stock of R&D own-capital. The authors thank Giovanni Anania, Olof Ejermo, Vincenzo Scoppa, Alessandro Sterlacchini and Marco Vivarelli for useful comments on an earlier draft. We are also grateful to the participants at the Workshop on “Spatial Econometrics and Statistics” in Rome (University “Guido Carli, May 2006) and at the 2006 ADRES Conference, “Networks of Innovation and Spatial Analysis of Knowledge Diffusion” in St Etienne for helpful discussion and to an anonymous referee for many detailed and constructive comments on an earlier version. All remaining errors and omissions are our own. Financial support received by MIUR is gratefully acknowledged.     

Diversity in innovation and productivity in Europe

The diversity in innovation patterns across manufacturing and service industries and in their outcomes in terms of hourly labor productivity are investigated in this article considering six European countries. The Schumpeterian insights into the variety of innovation are developed in this work by identifying different innovation–performance relationships for industries and countries, relying either on the dominant role of product innovation, or on the diffusion of process improvements. Moreover, the “push” effect of innovation is combined with the “pull” effect of demand, by considering the impact of the dynamics of consumption and investment at the sectoral level. The results point out a “North-South” divide across EU countries, with the three countries of Northern Europe closely associated to the model of productivity growth based on product innovation, and the three Southern countries, mainly relying on the mechanisms by which process innovation is at the root of productivity improvements.     

Drinking cheaply: the demand for basic wine in Italy

The wine market has evolved dramatically over the last three decades. The premium wine segment has expanded significantly to the detriment of basic wines. Nevertheless, in traditional wine producing and consuming countries, inexpensive wines still account for a large market share, both in volume and value. Marketing strategies for such wines are changing in an attempt to tap this increasingly crowded market segment. Despite its importance, the basic wine segment has not been studied in‐depth and is often assumed to have no product differentiation. This paper tried to ascertain the existence of a possible degree of heterogeneity within nonpremium wines and to measure, by means of elasticity computation, the relationships among categories of wines aggregated with criteria that go beyond price. A demand system (censored QUAIDS) was estimated, using a statistically representative panel of 6,773 Italian households, to see to what extent, if any, substitution occurs in home consumption of basic wines, which is the main channel of distribution of inexpensive wines in Italy. Although price is an important lever in supply policies, our results also suggest the importance of packaging, such as carton as an alternative to glass.     

A Comparison between Formal and Informal Mutual‐credit Arrangements

We analyze under what conditions a group of potential entrepreneurs prefer to form a Rotating Savings and Credit Association (ROSCA), or a mutual‐guarantee association, which we interpret in a rotating scheme and call Rotating Savings and Collateral Association (ROSCoA). We argue that: (1) ROSCAs (ROSCoAs) are likely to be more developed in countries with high (low) bank concentration; (2) the individual flow of savings required to participate in a ROSCoA is generally lower than that needed in a ROSCA; (3) under the assumption that members share their project income at the end of each period, ROSCAs and ROsCoAs are sustainable even without the use of sanctioning mechanisms.     

Driving Smartization Through Intelligent Transport

Smart cities initiatives are developing all over the world, due to their support in favouring a better provision of services, in connection with the aim of achieving efficiency in cities management. More and more big corporations are interested in this topic to develop their businesses, as several issues are linked to these projects, like environment, water management, energy policies, education, culture, and so on. In literature these issues, known as drivers, were also related to sustainability aims which could be reached through the accomplishment of better performances within environment, economy, and society. This study synthesizes all the different drivers identified by scholars and industry players in a model, in order to use it as a framework to depict the linkages among the various smart cities projects. Since transport resulted as one of the most considered drivers in the analyzed contributions, the research questions were delineated to describe its role in the different phases of smart initiatives, and to understand if it could encourage and enable the other drivers＇ development. The multiple case study was chosen as the fittest methodological approach and it was conducted with the selection of three smart cities, one for each of the most cited platform models developed by industry players, which had started transport initiatives at least three years ago： Singapore （IBM）, Amsterdam （Accenture）, and San Francisco （Microsoft）. The analysis of the official documents set up by city departments and by the industry players showed transport as a driving force in smart cities projects which conveys a smart approach to different domains, especially energy savings, environment, and safety. The results also showed smart mobility as a pivot in stimulating investments and citizens＇ participation on different city drivers, especially as it concerns environment and services to both citizens and businesses. Smart transport initiatives, hardware and software infrastructures, technological devices, and     

Impulse versus opportunistic purchasing during a grocery shopping experience

The current study introduces a conceptual distinction between two types of unplanned purchases—impulse purchases (i.e., spontaneous decisions triggered affectively) versus opportunistic purchases (i.e., rational decisions elicited by stimulus exposure)—grounded in separate dynamics of the cognitive processes unfolding during the course of a shopping trip. In a temporal analysis of shopping behavior within a simulated grocery-shopping experience, we found that participants increased their impulse buying but decreased their opportunistic buying, as a function of the number of basket items chosen previously. Similarly, impulse purchases increased in the final stages of the trip, particularly in shoppers without the aid of a shopping list, whereas opportunistic purchases decreased. Ours is thus the first study to report time–course evidence of two types of unplanned purchases within the grocery-shopping experience.     

Pseudo conditional maximum likelihood estimation of the dynamic logit model for binary panel data

We show how the dynamic logit model for binary panel data may be approximated by a quadratic exponential model. Under the approximating model, simple sufficient statistics exist for the subject-specific parameters introduced to capture the unobserved heterogeneity between subjects. The latter must be distinguished from the state dependence which is accounted for by including the lagged response variable among the regressors. By conditioning on the sufficient statistics, we derive a pseudo conditional likelihood estimator of the structural parameters of the dynamic logit model, which is simple to compute. Asymptotic properties of this estimator are studied in detail. Simulation results show that the estimator is competitive in terms of efficiency with estimators recently proposed in the econometric literature.     

The New Macro Political Economy of Alberto Alesina

The paper examines the scientific work of Alberto Alesina as leader of a new school of macroeconomic political economy which has renovated and broadened the content of this branch of the economic science. His political economy is not dominated by the axiomatic normative economics, where benevolent planners maximize the aggregate welfare dressed in simplistic neo-Keynesian clothing. After an examination of its roots in the Italian tradition of political economy and public finance the paper makes a comparison with the public choice approach, with decision-making by the electors and politicians is done. However, Alesina new macro-economic perspective incorporates the hypothesis of rational agents while the public choice approach is inherently micro economic and is generally based on limited rationally.