Environmental Policy Instruments: Technology Adoption Incentives with Imperfect Compliance

We study the incentives to adopt advanced abatement technologies in the presence of imperfect compliance. Interestingly, incentives under emission taxes and pollution abatement subsidies are the same that in the perfect compliance scenario. However, under emission standards imperfect compliance can increase firms’ incentives to invest, whereas under an emission permit mechanism investment incentives decrease only if widespread non-compliance induces a reduction in the permit price. Our results are valid for fairly general characteristics of the monitoring and enforcement strategies commonly found in both, theoretical and empirical applications.     

A model of a small open economy integrated in a monetary union

This paper develops a model of a small open economy integrated in a monetary union, which is a nontrivial technical extension of the existing small open economy model. The model is used to study the monetary transmission mechanism in Portugal.     

Minimum cost spanning tree problems with groups

We study minimum cost spanning tree problems with groups. We assume that agents are located in different villages, cities, etc. The groups are the agents of the same village. We introduce a rule for dividing the cost of connecting all agents to the source among the agents taking into account the group structure. We characterize this rule with several desirable properties. We prove that this rule coincides with the Owen value of the TU game associated with the irreducible matrix.     

The raw material basis of global value chains: allocating environmental responsibility based on value generation

A new approach to allocate environmental responsibility, the ‘value added-based responsibility’ allocation, is presented in this article. This metric allocates total environmental pressures occurring along an international supply chain to the participating sectors and countries according to the share of value added they generate within that specific supply chain. We show that – due to their position in global value chains – certain sectors (e.g. services) and countries (e.g. Germany) receive significantly greater responsibility compared to other allocation approaches. This adds a new perspective to the discussions concerning a fair distribution of mitigation costs among nations, companies and consumers.     

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.     

An approximation method to derive confidence intervals for quantiles with some applications

Standard jackknife confidence intervals for a quantile Q _y (β) are usually preferred to confidence intervals based on analytical variance estimators due to their operational simplicity. However, the standard jackknife confidence intervals can give undesirable coverage probabilities for small samples sizes and large or small values of β. In this paper confidence intervals for a population quantile based on several existing estimators of a quantile are derived. These intervals are based on an approximation for the cumulative distribution function of a studentized quantile estimator. Confidence intervals are empirically evaluated by using real data and some applications are illustrated. Results derived from simulation studies show that proposed confidence intervals are narrower than confidence intervals based on the standard jackknife technique, which assumes normal approximation. Proposed confidence intervals also achieve coverage probabilities above to their nominal level. This study indicates that the proposed method can be an alternative to the asymptotic confidence intervals, which can be unknown in practice, and the standard jackknife confidence intervals, which can have poor coverage probabilities and give wider intervals.     

Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies

This paper draws attention for the fact that traditional Data Envelopment Analysis (DEA) models do not provide the closest possible targets (or peers) to inefficient units, and presents a procedure to obtain such targets.It focuses on non-oriented efficiency measures (which assume that production units are able to control, and thus change, inputs and outputs simultaneously) both measured in relation to a Free Disposal Hull (FDH) technology and in relation to a convex technology. The approaches developed for finding close targets are applied to a sample of Portuguese bank branches.     

Familiness,business strategy and stakeholder engagement: The internationalisation of Spanish olive oil mills

Based on social capital theory and the family-firm context, this paper studies familiness' composition and the result of the overlap of the family and firm systems, analysing their influence on the internationalisation strategies of family firms. In this relationship, the stakeholder engagement becomes at the same time an antecedent and a result when developing family businesses' strategies, being one of the most relevant the internationalisation strategies. Prior research focused on familiness as the result of proxy variables such as the percentage of ownership and management in family hands, or business size, instead of as psychological variables resulting from shared organisational culture and social interactions. Through a qualitative study based on 12 interviews of general managers and/or export managers of Spanish family olive oil mills, this study asserts that the level of familiness influences internationalisation strategies, the reasons underlying a business becoming international and its commitment to activities abroad being the role of stakeholders crucial in those interactions. The higher the level of familiness, the more likely the family business internationalisation and the higher their levels of international commitment. Additionally, the higher the concern about their stakeholders, the higher their levels of international commitment. The family businesses' concern for their stakeholders and their international commitment share a reciprocal relationship. The results regarding the relevance of familiness as social capital resources in sustaining competitive advantages support the decision to promote, develop and nurture social capital when a family business goes international.