Foreign aid preferences and perceptions in donor countries

We present original survey data on preferences for foreign aid in 24 donor countries from 2005 to 2008. On publicly-funded foreign aid (Official Development Assistance, or ODA), we find patterns that are consistent with a standard model of democratic policy formation, in which donations are treated as a pure public good. Controlling for perceptions of current ODA, we show that individual preferences for ODA are (i) negatively correlated with relative income within a country-year; and (ii) positively correlated with inequality at the country level. We extend the analysis to explain variation in the gap between desired aid and actual ODA, arguing that lobbying by high-income special interest groups can divert resources away from the median voter’s preferred level of aid. Consistent with this, we observe that ODA is significantly lower where policymakers are more susceptible to lobbying. Finally, we present a novel test of competing “crowding out” hypotheses. Self-reported private aid donations are negatively correlated with actual ODA, and positively correlated with perceived ODA. This finding is consistent with an emerging argument in the literature, whereby ODA crowds out private aid by enabling charities to forego fundraising activities and crowds in private aid through a signaling channel.     

Which projects are selected for an innovation subsidy? The Portuguese case

Portuguese Economic Journal - Several empirical studies have analyzed which firm characteristics influence government evaluators in the decision to select specific firms to participate in Research...     

Policies to increase business tourism income: A dynamic panel data model

This article aims to identify the determinants that influence business tourism income and that may be controlled by economic agents and policy makers of destination countries. For the development of the empirical study, a dynamic panel model by the Generalized Method of Moments (GMM) was estimated using the Gretl 2016a software, and a sample of 122 countries for the period 2002–2013 (12 years) was used. The study reveals that, for the development of policies to stimulate the growth in the short and long-term of business tourism income, countries should develop measures that encourage capital investment in tourism and foreign direct investment.     

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.     

Using matrices of specifications,factors and concepts to assist design-engineering students

In this work a matrix-type tool is used to assist design-engineering students to develop product design projects. The ‘specifications-factors-concepts matrix’ or SFCM is proposed as a specific tool to organize and relate product requirements, design factors and projected solutions. Taking into account the early stages of the design process, two types of projects that are denominated, respectively, with imposed specifications and with derived specifications, are differentiated. In each case, SFCM conveniently integrates the main contents of the project in order to carry out a comprehensive study of the design problem. SFCM was implemented in higher education, particularly in Degree of Engineering of Industrial Design and Product Development. The design of a hydraulic front brake handle for motorcycles (imposed specifications approach) and a waking up enabler for children (derived specifications approach), were proposed. The process of creation as well as the resulting matrix is shown in each case. In addition, the development and results of the experience are exposed. Students assessed by means of a survey how it helped them to develop the main tasks involved in the design projects giving, globally, a positive opinion about its usefulness.     

REPORTING GUIDELINES FOR META-ANALYSIS IN ECONOMICS

Meta-analysis has become the conventional approach to synthesizing the results of empirical economics research. To further improve the transparency and replicability of the reported results and to raise the quality of meta-analyses, the Meta-Analysis of Economics Research Network has updated the reporting guidelines that were published by this Journal in 2013. Future meta-analyses in economics will be expected to follow these updated guidelines or give valid reasons why a meta-analysis should deviate from them.     

The impact of environmental regulation on Chinese spatial development

We examine the relationship between environmental regulation and spatial development in China. Exploiting changes in national pollution standards for three industries, ammonia, paper and cement, we measure the impact of environmental regulation on industry productivity. Our results suggest that national pollution standards do not affect industry productivity, but they reallocate productivity spatially. We show that regulated industries located in developing cities increase their productivity compared to similar industries in other cities. This means that environmental regulation affects the spatial distribution of technology in China and might influence long‐term spatial development by reducing geographical disparities.     

Social entrepreneurship orientation and performance in non-profit organizations

With the downturn in the global socioeconomic panorama, the social entrepreneurship orientation (SEO) and the social performance of non-profit organizations (NPOs) have become subject to growing levels of attention. The objective of this study is to analyze the influence of SEO on the performance of NPOs. To this end, we deployed a quantitative methodology based on the application of a survey of NPOs, which received a total of 135 valid responses. Our results demonstrate a positive effect for the dimensions of social innovation and social proactivity even while reporting no effect for the acceptance of social risks on performance. These results hold important implications across two different levels: in terms of the NPOs and policy-makers.

     

An Investigation into Restaurant Attributes: A Basis for a Typology

This article has the aim of presenting the basis for a new, clearer classification of restaurant attributes. The research followed an interpretive approach with a systematic review of the literature, compared and contrasted with the findings of six focus group interviews. A new model was devised with seven categories of restaurant attributes. This article presents a model that needs to be tested. Also, follow-up articles with more detail about the attributes under each category will be presented. This article organizes the disparate literature on restaurant attributes and looks into the relationship between attributes, particularly its influence on perceived consumer value.     

Maximum entropy: a stochastic frontier approach for electricity distribution regulation

The literature on incentive-based regulation in the electricity sector indicates that the size of this sector in a country constrains the choice of frontier methods as well as the model specification itself to measure economic efficiency of regulated firms. The aim of this study is to propose a stochastic frontier approach with maximum entropy estimation, which is designed to extract information from limited and noisy data with minimal statements on the data generation process. Stochastic frontier analysis with generalized maximum entropy and data envelopment analysis—the latter one has been widely used by national regulators—are applied to a cross-section data on thirteen European electricity distribution companies. Technical efficiency scores and rankings of the distribution companies generated by both approaches are sensitive to model specification. Nevertheless, the stochastic frontier analysis with generalized maximum entropy results indicate that technical efficiency scores have similar distributional properties and these scores as well as the rankings of the companies are not very sensitive to the prior information. In general, the same electricity distribution companies are found to be in the highest and lowest efficient groups, reflecting weak sensitivity to the prior information considered in the estimation procedure.