An empirical approach to the organisational determinants of spin-off creation in European universities

Given the importance in recent years of the phenomenon of academic entrepreneurship in European universities, knowledge about determinants and performance of this technology transfer mechanism may have important managerial and policy implications. Applying the resource-based view at universities, we have tested the influence of five bundles of resources and capabilities on spin-off activity rates as well as on the performance of new spin-offs in a sample of seven European universities. These five bundles are: technology transfer policies and strategies; human capital; stock of technology; resources and capabilities of technology transfer offices; and support measures for academic entrepreneurship. Our results show that excellence of human capital and the presence of university-based financial support measures are strongly associated with both spin-off activity and performance. Another interesting finding is related to the availability of university-based non-economic support measures (training, counselling, etc.), which have no influence on spin-off activity but are significantly associated with performance of new spin-offs. We also discuss some interesting relationships between explanatory variables.     

Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project

This article brings together the stochastic frontier framework with impact evaluation methodology to compare technical efficiency (TE) across treatment and control groups using cross-sectional data associated with the MARENA Program in Honduras. A matched group of beneficiaries and control farmers is determined using propensity score matching techniques to mitigate biases stemming from observed variables. In addition, possible self-selection arising from unobserved variables is addressed using a selectivity correction model for stochastic frontiers recently introduced by Greene (J Prod Anal 34:15?C24, 2010). The results reveal that average TE is consistently higher for beneficiary farmers than the control group while the presence of selectivity bias cannot be rejected. TE ranges from 0.67 to 0.75 for beneficiaries and from 0.40 to 0.65 for the control depending on whether biases were controlled or not. The TE gap between beneficiaries and control farmers decreases by implementing the matching technique and the sample selection framework decreases this gap even further. The analysis also suggests that beneficiaries do not only exhibit higher TE but also higher frontier output.     

Abstraction and product categories as explanatory variables for food consumption

This study sets out to explore variation in the consumer choice structure in relation to three types of products with different levels of search, experience and credence attributes. The decision structures of rice, wine and functional food (experience, search and credence products) consumers were explored by means of laddering. The results suggest the presence of an emotional component in foods that increases in complexity (becomes more abstract) with the number of credence attributes. The findings recommend adjusting the complexity of advertising campaigns and product positioning to the type of product being promoted.     

Evaluating the economy embedded in the Brazilian ethanol–gasoline flex-fuel car: a Real Options approach

The introduction of the flex-fuel cars in the Brazilian market in 2003 changed considerably the consumer decision-making process. Prior to this date, it was necessary to choose the automobile type only by gasoline or by ethanol fuel; today it is possible to choose a car type with both fuel options. This flexibility generates economic advantages for his owner, but what are the financial benefits of a flex-fuel car in comparison with a car using only gasoline? Geographically, where is the owner of the benefits from this flexibility located? This article presents an empirical application of the Real Options Theory in the analysis of the flex-fuel car option for five geographic Brazilian regions: Northern, Northeastern, Central-Western, Southeastern and Southern. The regional price differences as well as the consumer preferences of these regions were met. For this purpose, historical fuel prices were considered stochastic and following a Mean Reverting Stochastic process. The prediction and option values were generated by a Monte Carlo simulation. The results indicated that the option embedded on the Brazilian flex-fuel car adds considerable value to the owner in all regions and car models considered, with the Southeastern Region receiving most benefits by the flex option.     

From real estate to consumption: the role of credit markets in the USA

The aim of this article is to test whether the credit market conditions affect the strength of transmission of real estate wealth effects on household consumption in the US economy. Although many different works have dealt with the analysis of the existence of a real estate wealth effect, most of them as a reaction to the dramatic increase of housing prices in several OECD countries, there are only few papers analysing whether the consumption response depends on the positive or negative sign of the wealth shock and, as far as we know, none of them takes the effects of credit market conditions on that asymmetric response into account. This article tries to fill the existing gap in the literature on this matter. From an econometric perspective, we estimate the asymmetries in the consumption response within the momentum threshold autoregressive model (M-TAR) proposed by Enders and Siklos (2001), but following Stevans (2004), it is applied to a multivariate framework. The main results show that the credit market conditions play a significant role in the transmission of changes in real estate wealth to consumption. In addition, we find that there exists an asymmetric behaviour in the US aggregate consumption spending responses to real estate wealth and credit market shocks, which is only significant when a negative shock takes place.     

Economic growth as a function of human capital,internet and work

The World Bank has suggested the need to enhance Information and Communication Technology skills in all sectors because a 10% increase in internet connectivity was found to boost GDP growth by 1.38%. Simultaneously, the OECD argued that high internet access rates generate a 2% increase in GDP. Because the internet positively affects economic growth, we investigated the relationship between an economically active population, human capital and technology to evaluate these effects in Mexico. A data series from 1991 to 2010 was analysed in three stages according to the least-squares method. A Cobb–Douglas function under the Solow model was considered. Technology and internet access were found to positively affect top-level students and graduate students and thus contribute to the global innovation index.     

Teaching the history of economic thought

The main purpose of this survey is to present the results of a questionnaire recently sent to historians of economic thought. This questionnaire — presented in the appendix - was devised so as to provide data on the approaches and experiences of teaching the history of economic thought in a wide range of universities throughout the world.

A summary of the most significant results is presented in section 2 of this survey. Section 1 provides a general introduction to the methodological context of the discussion of problems concerning the teaching of the discipline.     

Gender and regional inequality in human development: the case of Spain1

In this paper, we present estimates of the Human Development Index and the Gender-Related Development Index in the Autonomous Communities of Spain. Our case study of Spain, a developed country with clear gender and regional differences, demonstrates the importance of adjusting human development indices in accordance with gender discrimination and regional inequalities. We also show the significance of the income component in assessing the development level of women in countries like Spain, where lack of employment or low remuneration are the chief characteristics of women's inequality. Our analysis makes clear that the Gender-Related Human Development Index has limited applicability in developed countries; it also illustrates the need for alternative variables or models to assess inequality in those countries.