Are Economists Amoral?

Economists have long based their analysis of the behaviour of the economic'actor'as homo economicus, an individual maximising his or her own interest or'utility'. Tibor Machan, Professor of Philosophy at Auburn University, Alabama, argues that this approach neglects important elements that condition economic activity — not least, the role of moral considerations.     

On a special application of the truncation problem

Summary A special application of the truncation problem is presented in connection with constructing a model for the analysis of the fine aerosol spray particle size distribution sampled by an impact method. The relationship between the diameter distribution of images recorded on a photograph and the actual spherical particle diameter distribution is analyzed. The problem of estimating the parameters of the actual diameter distribution using the induced information is transformed to estimating the parameters of a truncated distribution with known or unknown truncation point. The derived general solution is implemented to two specified particle size distributions.     

Determination of the most influential factors for number of patents prediction by adaptive neuro-fuzzy technique

Number of patents may be developed on the basis on different natural and science and technological factors. Number of patents prediction based on the different factors in many countries is analyzed in this investigation. These factors represent natural and science resources. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data in order to select the most influential factors for the number of patents prediction. Five inputs are considered: research and development (R&D) resources, natural resources, quality of academic institutions, quality of collaboration with the private sector and quality of education. As the ANFIS output, number of patents is considered. The ANFIS process for variable selection is also implemented in order to detect the predominant factors affecting the prediction of number of patents. Results show that the R&D is the most influential factor for the number of patents prediction.     

Merger Control and Economic Growth of LDCs: Some Observations and Recommendations

The aim of this paper is to evaluate merger control as a segment of competition policy in less developed countries (LDCs) and to propose desirable regimes, using economic growth as the evaluation standard. Three regimes of merger control are recommended, depending on the level of institutional and economic development: for LDCs with low levels of both, the absence of merger control is suitable; for LDCs with intermediate levels of both, very restricted merger control is recommended; this should evolve into somewhat restricted merger control for the remaining LDCs. Advocacy is recommended as the main substitute activity of the national competition authorities.

     

Spatio-temporal determinants of the structural and productive transformation of regions in Central and East European countries

This paper investigates the determinants of the structural (between-sectoral) and productive (within-sectoral) transformation of 56 NUTS2 regions in Central and East European (CEE) countries over the 2008–2014 period. Over the analysed period, a transformation of the analysed regions has taken place towards the tertiary sector and high value-added activities. The results from a spatial panel Durbin analysis reveal the existence of product-space linkages and point to a productive transformation towards high technology-intensive activities as an important driver of industrial development. Equal access to digital infrastructure in urban and rural areas and transfer of skills, knowledge and resources through the inflow of foreign investment and imports of production inputs increase the contribution of manufacturing to regional employment. The effect of profit tax reductions on the share of manufacturing employment is about five times larger than the effect of government subsidies to production.     

Value orientations and consumer expectations of Corporate Social Responsibility

This paper explores how personal and situational factors impact consumer expectations of Corporate Social Responsibility (CSR). Consumer expectations are known to motivate marketers to incorporate social considerations into their marketing practices and to communicate about those actions. A study was conducted in order to examine the effect of values and issue involvement on consumer CSR expectations, categorised as economic, legal, ethical, and philanthropic. The study's findings demonstrated that consumers generally have high expectations of CSR, especially in the legal and ethical‐philanthropic domains. Expectations for the ethical‐philanthropic dimension of CSR are higher amongst consumers holding high self‐transcendent values and practicing high involvement. The main implications of the study are the potential for positioning companies as socially responsible and incorporating CSR in strategic marketing and communications decisions.     

A framework for the analysis of global, regional and local business networks

In this article we are dealing with the global, regional and local questions of the business. We raise the following question: is there a relation between network management (networking) and the spatial type of the network. We make a cross analysis of networking and spatial types of the network. The paper builds on the model of networking (Ford et al., 2002; Ford et al., 2003; Håkansson et al., 2009), the network paradoxes (Håkansson and Ford, 2002) and the model of 6 Cs (Ritter & Ford, 2006). We emphasize the strategic importance of the interpretation of network pictures. In order to answer the research question we create a theoretical conceptual frame called the Spatial Networking Matrix. We use the method of explorative expert interview in order to introduce some experiences of company leaders and managers concerning networking and spatiality. We conclude that after further development, the Spatial Networking Matrix can help to analyze networking and spatial types of networks at once, deepen the understanding of the real business world and through all of these, be a useful tool for business practice.     

A moment-based test for extreme-value dependence

This paper proposes a new rank-based test of extreme-value dependence. The procedure is based on the first three moments of the bivariate probability integral transform of the underlying copula. It is seen that the test statistic is asymptotically normal and its finite- and large-sample variance are calculated explicitly. Consistent plug-in estimators for the variance are proposed, and a fast algorithm for their computation is given. Although it is shown via counterexamples that no test based on the probability integral transform can be consistent, the proposed procedure achieves good power against common alternatives, both in finite samples and asymptotically.     

The view from above: the relevance of shared aerial drone videos for destination marketing

ABSTRACT

The use of drones to produce videos has generated a large amount of visually appealing footage of various destinations. They attract much attention, but there are issues that affect their production, and their relevance to destination marketing. This research examines YouTube meta-data and spatial overlay analysis of shared aerial drone videos from the United Kingdom (UK). The results suggest that shared aerial drone videos have some unique user-generated content (UGC) characteristics and their spatial distribution tends to favor more populated areas. Theoretical and practical implications for destination marketing are further discussed.