Market Structure And The Adoption Of Innovations: The Case Of The Spanish Banking Sector ‡

This paper is an empirical study of the determinants of adoption time for the teleprocess terminal by Spanish commercial and savings banks. The explanatory variables include the characteristics of the adopting firms, size, and in the case of the savings banks, the structure of the market and concentration. The results indicate that the speed of adoption is maximized at intermediate levels of size and market concentration, confirming one theoretical prediction of models of diffusion: namely, that adoption time is minimized at intermediate levels of market concentration.     

Trend breaks in the research and development process

This work examines the behaviour of the input and output measures of the R&D process in the United States, Germany, France and the United Kingdom, in the second half of the 20th century. The researcher and idea stock series can be construed as stationary fluctuations around a trend function, with a main breakpoint at the end of the 1960s. All the countries exhibit slower growth after their last breaks that during the decades preceding its first breaks. In this connection, the United States and Germany appear to represent the end points in the range of incidence.     

Causes of world trade growth in agricultural and food products, 1951–2000: a demand function approach

The objective of the present study is to analyse the causes of the growth of international agricultural and food trade in volume terms from 1951 to 2000. The results suggest that income growth has been the principal reason for this expansion, while exchange rate stability and the real price of agricultural products played only a minor role. Multilateral trade liberalization and trade costs, given their long-term stability, are not elements that could have stimulated their growth. Finally, the intensive liberalization of trade which took place in various economic regions, especially in Europe, became a key factor in promoting agricultural trade among the countries participating in regional trade agreements. The study results also indicate that the determinants of trade growth for these goods were different to those for other goods and other periods.     

EU Enlargement and Inward FDI

The authors attempt to highlight the effects of the recent surge of FDI in the enlargement states on domestic investment and growth. A similar analysis is carried out for the EU-15 in order to ascertain whether this type of capital inflow has a differential impact in these two regions of the European Union. Empirical analysis, based on dynamic panel data models, suggests the existence of a positive contribution of FDI to greater domestic investment and economic growth in the new member states. The evidence obtained for the EU-15 old member countries confirms the FDI-growth nexus but does not suggest a positive impact of FDI on domestic investment, which would be consistent with these capital inflows being of a different nature for these more advanced economies.     

The “frequency divide”: implications for internet-based surveys

Those who use the internet more frequently are more likely to notice a request to participate in a survey than less frequent users. The frequency of internet use is thus likely to affect the likelihood of participation in internet-based surveys. If frequent and infrequent users are different in relevant features, this could influence survey estimates. This study aims to identify which demographic characteristics most differentiate frequent and infrequent users of the internet and whether those distinctions have an influence on substantive responses. The effect of internet usage frequency when conducting internet-based surveys on specific subgroups of the population is also examined. Results suggest that frequent and infrequent users are different both in demographic characteristics and substantive estimates. Differences in substantive estimates are also found when comparing frequent and infrequent users in the 15–24 years subgroup. Weighting can reduce the discrepancies found for most of the substantive estimates, but the differences between frequent and infrequent users remain statistically significant for some specific items.     

Quantification of the environmental impacts of road conditions in Brazil

This study evaluates the impacts of Brazilian highway conditions on fuel consumption and, consequently, on carbon dioxide (CO₂) emissions. For the purpose of this study, highway conditions refer to the level of highway maintenance: the incidence of large potholes, large surface cracks, uneven sections, and debris. Primary computer collected data related to the fuel consumption of three types of trucks were analyzed. The data were derived from 88 trips taken over six routes, each route representative of one of two highway conditions: better or worse. Study results are initially presented for each type of truck being monitored. The results are then aggregated to approximate the entire Brazilian highway network. In all cases, results confirmed environmental benefits resulting from travel over the better routes. There was found to be an increase in energy efficiency from traveling better roads, which resulted in lower fuel consumption and lower CO₂ emissions. Statistical analysis of the results suggests that, in general, fuel consumption data were significant at *P < 0.05, rejecting the null hypothesis that average fuel consumption from traveling the better routes is statistically equal to average fuel consumption from traveling the worse routes. Improved Brazilian road conditions would generate economic benefits, reduce dependency on and consumption of fossil fuels (due to the increase in energy efficiency), and reduce CO₂ emissions. These findings may have additional relevancy if Brazil needs to reduce carbon dioxide emissions to reach future Kyoto Protocol's emissions targets, which should take effect in January 2013.     

Supply function competition in a mixed electric power market

In this paper, we present a mixed oligopoly model where electric power generators compete in supply functions in a liberalized market. A former monopolist, the state‐owned generator, is assumed to be (partially) privatized. First, we obtain that there is a relationship between privatization and the number of electric power generators concerning the level of consumer surplus and total welfare. Indeed, a fully state‐owned generator is socially optimal, lowering private generators' profits and enhancing consumer surplus; that is, if the degree of privatization decreases, consumer surplus increases compensating the damage imposed on generators' profits. Second, as the number of generators increases, full privatization may provide similar levels of consumer surplus and social welfare than those observed in a mixed oligopoly. Moreover, it is also obtained that price‐cost margins increase as marginal cost increases. Overall, our results suggest that the state‐owned generator should be privatized when entry barriers are low enough, and competitiveness is enhanced. Otherwise, a state‐owned generator may protect consumers, enhancing consumer surplus.     

Types of entrepreneurs and firms: The case of new Spanish firms

The main purpose of this paper is to present an empirical analysis of the sequence relating the performance of the firm to its behavior, which in turn depends upon the origin and personal characteristics of the entrepreneurs. The data are drawn from new Spanish firms. A typology of new entrepreneurs is constructed, based on their basic work aspirations. Each type of entrepreneur is then examined, in terms of the origin and personal characteristics of the members of the class. The results of the study show that significant differences exist among the entrepreneurs and firms of each type, especially in terms of the size of the firm (number of employees) and its evolution over time. The implications of these results, for the theory of entrepreneurship and for the design of policies towards the creation of new firms, are then derived.     

An alternative approach to estimating demand: Neural network regression with conditional volatility for high frequency air passenger arrivals

In this paper we provide an alternative approach to analyze the demand for international tourism in the Balearic Islands, Spain, by using a neural network model that incorporates time-varying conditional volatility. We consider daily air passenger arrivals to Palma de Mallorca, Ibiza and Mahon, which are located in the islands of Mallorca, Ibiza and Menorca, respectively, as a proxy for international tourism demand for the Balearic Islands. Spain is a world leader in terms of total international tourist arrivals and receipts, and Mallorca is one of the most popular destinations in Spain. For tourism management and marketing, it is essential to forecast high frequency international tourist demand accurately. As it is important to provide sensible international tourism demand forecast intervals, it is also necessary to model their variances accurately. Moreover, time-varying variances provide useful information regarding the risks associated with variations in international tourist arrivals.