Comparing alternative methods to estimate gravity models of bilateral trade

The gravity equation has been traditionally used to predict trade flows across countries. However, several problems related with its empirical application still remain unsolved. The unobserved heterogeneity, the presence of heteroskedasticity in trade data or the existence of zero flows, which make the estimation of the logarithm unfeasible, are some of them. This paper provides a survey of the most recent literature concerning the specification and estimation methods of this equation. For a dataset covering 80% of world trade, the most widely extended estimators are compared, showing that the Heckman sample selection model performs better overall for the specification of gravity equation selected.     

An application of co-word analysis and bibliometric maps for detecting the most highlighting themes in the consumer behaviour research from a longitudinal perspective

This article presents an application of a bibliometric and visual study of the research carried out on a social science subfield, concretely the consumer behaviour research (CBR), from a longitudinal perspective (period 1966–2008). The study combines performance analysis and science mapping for detecting and visualizing conceptual subdomains. Quantitative and qualitative measures are used in order to identify the most prominent themes. Quantitative data are used to put together very related concepts (themes or clusters of topics), while qualitative indicators (as those based on citations) are used to measure the quality and/or impact of the detected themes. The study also uses bibliometric maps to show in a visual way the associations between the main concepts treated by the CBR community. The maps provide insight into the structure of the CBR, visualize the division of the field into several subfields, and indicate the relationships between these subfields. Co-word analysis is the bibliometric technique used to identify the main themes. All this allows us to quantify and visualize the thematic evolution of the CBR. It also helps to both experts and novices to understand the current state of the art of the CBR and to predict where future research could lead.     

Road accessibility and cohesion in lagging regions: Empirical evidence from Portugal based on spatial econometric models

A number of transportation infrastructure projects were conducted in Europe during the 1990s with the explicit objective of promoting regional cohesion goals through the improvement of the accessibility of peripheral regions. Given its peripheral situation in the Union, Portugal was a key target for some of these projects. A decade later, it is pertinent to ask whether the new infrastructure achieved its objective of promoting lagging regions. The objective of this paper is to analyze one of the lagging regions in Portugal, to try to establish the link between changes in accessibility levels brought by improvements in the transportation network, and two indicators commonly used in accessibility research (population and purchasing power), while controlling other variables of possible relevance, such as the levels of educational achievement of the population in the region. The analysis is based on the use of spatially autoregressive models which allow the representation of accessibility as spatially lagged variables of first and second order. The results place the contribution of accessibility changes in context, and point at the relevance of education as an alternative policy.     

Influence of the sector and the environment on human resource practices' effectiveness

The aim of this work is to examine the effect that human resource practice has on performance. From a database made up of 250 companies in Spain and by means of a regression analysis, we test empirically whether human resource practices generate positive results under any circumstance or if their effectiveness depends on certain contexts. In this respect, focusing the study on the activity sector and the environment, we analyse whether high levels of competition in the environment and service companies constitute more attractive contexts for the adoption of high involvement practices.     

Evidence of the impacts of public e-procurement: The Portuguese experience

This paper analyses public e-procurement implementation and emphasizes its main difficulties and impacts in relation to the type of public organizations. The primary impacts and changes in the Portuguese public sector are analyzed within the new legal framework, which adopts mandatory e-procurement for any open, restricted or negotiated procedure. In this sense, two surveys carried out in consecutive years were conducted to assess the implementation difficulties and impact of e-procurement in the Portuguese public sector.The major value of this research is that it presents and discusses, for the first time, evidences about difficulties and impacts on the mandatory adoption of public e-procurement, based on the case of Portugal. The results show that the entities’ administrative level influences the e-procurement implementation, which is influenced by the innovation adoption process.     

Barcelona seen through the eyes of TripAdvisor: actors,typologies and components of destination image in social media platforms

Recent literature has emphasized the emerging role of social media in generating a destination image. Even so, there is still no clear definition of the main actors, typologies and components prevailing in these environments or the possible differences between diverse social platforms. Specific analysis and comparison of the Barcelona TripAdvisor Forum and a traditional Destination Management Organization (DMO) website showed that actors, typologies and components are platform specific and have both similarities and differences with other sources, including DMO websites and other social media platforms.     

Multi-agent modeling of economic innovation dynamics and its implications for analyzing emission impacts

In this elaboration we focus on the role of multi-agent systems as a tool for modeling economic dynamics. Hence, at the beginning the specific features of this tool are considered. Taking the example of explaining the relationship between innovations and economic growth it will be shown after that how the tool of multi-agent modeling can be used for the following purposes: (1) for explaining the occurrence of innovations, (2) for specifying the effects these innovations have on economic growth, (3) for linking emission impacts to this growth and finally (4) for exemplarily assessing political options to reduce these impacts.     

Loan price modelling for local governments using risk premium analysis

Previous studies have highlighted the question of government loan interest as one of great current importance. Government borrowing levels are high, and reducing interest payments would generate savings to meet other spending needs and/or to lower taxation, thus supporting the sustainability of public finances. However, no previous study has presented a method for a local government to calculate its own credit risk and thus be in a position to negotiate lower interest rates on its borrowing. This article defines a financial model that enables local governments to estimate the interest rate payable on a bank loan, based on their credit risk premium, in accordance with the Basel II rules and the findings of our empirical study of large local governments.     

Optimization approach to depot location and trip selection in one-way carsharing systems

In this paper, we present an optimization approach to depot location in one-way carsharing systems where vehicle stock imbalance issues are addressed under three trip selection schemes. The approach is based on mixed-integer programming models whose objective is to maximize the profits of a carsharing organization considering all the revenues and costs involved. The practical usefulness of the approach is illustrated with a case study involving the municipality of Lisbon, Portugal. The results we have obtained from this study provided a clear insight into the impact of depot location and trip selection schemes on the profitability of such systems.     

Can Operating Leverage Be the Cause of the Value Premium?

Recent theoretical models (Carlson, Fisher, and Giammarino, 2004) predict an association between the book-to-market equity ratio (BE/ME) and operating leverage in the cross-section. Consistent with these models, we find a positive association between BE/ME and the degree of operating leverage (DOL), between DOL and stock returns, and between DOL and systematic risk. Overall, our findings provide support for a risk-based explanation for the value premium that is consistent with existing theoretical models. The evolution of systematic risk associated with firm-level investment activity, rather than financial distress, seems to be the main determinant of the value premium.