Endogenous technological progress in a multi-sector growth model

This paper presents an endogenous growth model driven by human capital, where human capital can be allocated across three sectors: the production of the final consumption good, the educational sector and the production of technological capital (in the form of knowledge or ideas). In our model, which also includes public expenditure and population growth, labor augmenting technical progress is endogenous and this enriches the transitional dynamics of the economy. With respect to ideas-based growth models, we assume knowledge is produced according to a neoclassical technology, combining ideas and human capital. Such an assumption is motivated by empirical works showing the existence of significant decreasing returns in the creation of ideas at the aggregate level (as Kortum, 1993; and Pessoa, 2005) and of the weak relationship between some inputs of the knowledge production process (as the number of researchers) and the total factor productivity growth rate (as Jones, 2002). Under some general conditions, this economy exhibits the existence of a steady state equilibrium and an unstable multidimensional manifold. Numerical examples are provided to show the existence of stable arms.     

Restructuring hospital industry to control public health care expenditure: The role of input substitutability

In this paper we investigate the economic rationality of the bed downsizing process, characterising the hospital industry worldwide in the last decades, as a measure to control public health care expenditure. Considering a sample of Italian hospitals, we provide fresh evidence on the factor substitutability in the production of hospital services. Differently from other studies, based on North-American data and limited to pre-determined cost function models, we estimate a general specification (the Generalised Composite), and test it against traditional nested models (e.g. the Translog). For all the specifications we derive Allen, Morishima and Shadow elasticities of substitution between input pairs, obtaining a fairly consistent picture across all models and elasticity concepts. In particular, our results highlight a very limited degree of substitutability between factors in the production of hospital services, especially between beds and medical staff. These findings suggest that a restructuring policy of the hospital industry, which is confined to reducing the number of beds without involving workforce management, could not be a viable strategy for controlling public health care expenditure.     

Cost Savings From Generation and Distribution with an Application to Italian Electric Utilities*

In the last decade, the European Commission promoted a new regulatory framework aiming at a gradual liberalization of the energy markets. The introduction of competition among generators implies the need to separate generation from transmission and distribution activities. However, if savings can be reached by operating at different stages, vertical separation would increase the costs of providing power. This paper tests for the presence of economies from vertical integration on a sample of Italian local electric utilities and finds evidence of both multi-stage economies of scale and vertical economies. Even if the hypothesis of global subadditivity is not supported, our evidence suggests that a complete divestiture policy would entail efficiency losses. *For helpful comments and discussions, we thank two anonymous referees, Graziano Abrate, Bruno Bosco, Diego Piacentino, and participants at the 31st Annual Conference of the European Association for Research in Industrial Economics (EARIE), Berlin, Germany, 2–5 September, 2004, the 60th Congress of the International Institute of Public Finance (IIPF), Milan, Italy, 23–26 August, 2004, and seminars held at the Bocconi University, University of Lecce, University of Naples, University of Pavia, and University of Turin, where earlier versions of this paper were presented. The financial support of MIUR (COFIN 2002) and HERMES Research Center is gratefully acknowledged. The usual disclaimer applies. **HERMES, Center for Research on Regulated Services, Fondazione Collegio Carlo Alberto, Via Real Collegio 30, 10024 Moncalieri (TO), Italy, http://www.hermesricerche.it.     

An analysis of the knowledge base of scientific research and development business services

It is argued that the literature on scientific research and development outsourcing focuses mostly on client firms, that is, the demand side, while little is known of the characteristics of the supplying sector. The present paper tackles this gap by elaborating an exploratory analysis of this business service sector with a view to analyze the main patterns of specialization and their evolution over time. Using data on job content and skill requirements in the United States, we elaborate a knowledge taxonomy of the sector and explore how different forms of knowledge coexist and coevolve.     

Power laws and the market structure of tourism industry

In this article, we use both graphical and analytical methods to investigate the market structure of one of the world’s fastest growing industries. For the German and Italian datasets, we show that the size distribution of tourism industry is heavy-tailed and consistent with a power-law behavior in its upper tail. Such a behavior seems quite persistent over the time horizon covered by our study, provided that during the period 2004–2009, the shape parameter is always in the vicinity of 2.5 for Germany and 2.6 for Italy. Size of the tourism industry has been proxied by the lodging capacity of hotel establishments: hotels, boarding houses, inns, lodging houses, motels, apartment hotels, tourist villages, and tourist apartments. Data belonging to the EUROSTAT and ISTAT databases have been used for Germany and Italy, respectively. Our aim is not to provide the best fit to the data but simply to focus our attention on the right tail of the size distribution of tourism industry. Understanding the behavior of the upper tail is indeed fundamental to capture the structure of the market. This study adds a new evidence to the list of empirical phenomena for which power laws hold.     

Improving value transfer through socio‐economic adjustments in a multicountry choice experiment of water conservation alternatives

This study tests the transferability of the nonmarket values of water conservation for domestic and environmental purposes across three south European countries and Australia applying a common choice experiment design. Different approaches are followed to test the transferability of the estimated values, aiming to minimise transfer errors for use in policy analysis, comparing both single‐ and multicountry transfers, with and without socio‐economic adjustments. Within Europe, significant differences are found between implicit prices for environmental water use, but not for domestic water use. In the Australian case study, alleviating restrictions on domestic water use has no significant value. Pooling the three European samples improves the transferability of the environmental flow values between Europe and Australia. Results show that a reduction in transfer error is achieved when controlling for unobserved and observed preference heterogeneity in the single‐ and multicountry transfers, providing additional support for the superiority of socio‐economic adjustment procedures in value transfer.     

China Spillovers: New Evidence from Time-Varying Estimates

The recent “rebalancing” of China’s economy has raised concerns that the country’s growth slowdown may have large global implications. This note looks at this issue by analyzing the effects of China’s growth shocks on the output of other countries and how these effects have changed over time. Estimates indicate that the magnitude of China’s spillovers has steadily increased during the last two decades, but remains yet limited. Spillovers are larger in neighboring (Asian) countries and in emerging markets and developing economies. Trade linkages remain main transmission channels. In addition, a negative shock in China has (marginal) positive effects for net commodity importers while negative for net commodity exporters.     

What drives a donor? A machine learning-based approach for predicting responses of nonprofit direct marketing campaigns

Direct marketing campaigns are one of the main fundraising sources for nonprofit organizations and their effectiveness is crucial for the sustainability of the organizations. The response rate of these campaigns is the result of the complex interaction between several factors, such as the theme of the campaign, the month in which the campaign is launched, the history of past donations from the potential donor, as well as several other variables. This work, applied on relevant data gathered from the World Wide Fund for Nature Italian marketing department, undertakes different data mining approaches in order to predict future donors and non-donors, thus allowing for optimization in the target selection for future campaigns, reducing its overall costs. The main challenge of this research is the presence of thoroughly imbalanced classes, given the low percentage of responses per total items sent. Different techniques that tackle this problem have been applied. Their effectiveness in avoiding a biased classification, which is normally tilted in favor of the most populated class, will be highlighted. Finally, this work shows and compares the classification results obtained with the combination of sampling techniques and Decision Trees, ensemble methods, and Artificial Neural Networks. The testing approach follows a walk-forward validation procedure, which simulates a production environment and reveals the ability to accurately classify each future campaign.     

Skills scarcity and export intensity

We describe a model of trade with skills-based product differentiation and non-proportional trade costs that predicts a positive correlation between firms' export intensity, the price of their exports and the wages they pay to their workers. In equilibrium, firms that employ workers with comparatively scarcer skills export a larger proportion of their output, pay higher wages and charge higher prices. In line with empirical evidence, the model predicts that trade liberalization can cause the distribution of earnings to become more polarized, with patterns that reflect the heterogeneous effects of trade liberalization on firms' export performance.