The Effect of the Arab Spring on Preferences for Redistribution in Egypt

This paper investigates the effect of the revolution that occurred in January 2011 in Egypt on the demand for redistribution in that country, which has drastically increased since that period. This shock has been an important event, enhancing freedom and the political structure. In a first step, taking into account the main determinants of preferences for redistribution in the literature, our results differ, showing a positive impact of religion and a negative impact of altruistic attitudes. In a second step, we rely on a diff-in-diff approach to estimate the effect of the revolution, using three similar countries as a control group. We find that Egyptians became much more favorable to redistribution after the Arab Spring. Moreover, the revolution effect is stronger for the poorest people and those who are interested in politics.     

Factors with significant impact on efficiency of research laboratories: case of the public university

Quality & Quantity - This work aims to highlight the factors with significant impact on efficiency of research laboratories of public university. To achieve this goal, Linear Regression is...     

The Use of Information and Communication Technologies (ICTs) in Tourist Information and Promotion of the Polish Carpathians in Foreign Tourism Markets

The recent years have been a time of rapid development of information and communication technologies (ICTs) in tourism. The objective of this article is to analyse and assess the use of ICTs in tourist information and promotion of selected municipalities in the Polish Carpathians, the largest region of mountain tourism in Poland. Particular attention was paid to the activities taken by DMOs, local entrepreneurs and cultural institutions. The use of ICTs in the Polish Carpathians is at a relatively advanced level, but still not sufficient enough to make these solutions a fully effective tool in building a strong regional brand in the international tourism markets.     

Team Production with Punishment Option: Insights from a Real‐Effort Experiment

This paper analyzes the consequences of allowing for punishment in a real‐effort pair production experiment. The behavior of the best performer in the team differs on whether he or she can impose a sanction on the less performing partner. When sanctions are not allowed, good performers reduce their effort in response to the advantageous difference in scores; when they can impose sanctions, their change in effort is no longer related to the difference in scores. To some extent, a sanction mechanism allows good performers to focus on their own performance. In the case of costless sanctions, not sanctioning a partner who under‐performs, what we refer to as forgiveness, prompts the latter to improve his or her performance, but applying the sanction has a stronger push effect. Copyright © 2014 John Wiley & Sons, Ltd.     

Dynamics of price level changes in the Visegrad group: comparative study

Quality & Quantity - In Poland, as in many other countries, to measure inflation, expressed both by the CPI and HICP, the Laspeyres price index with weights from the base period is used. Thus...     

How do consumers categorize new hybrid products?

This article investigates how consumers categorize new hybrid products (NHPs). Given the limitations of the classical theories of categorization in the specific case of NHP, affordance, mobilized infrequently in marketing, turned out to be a useful categorization concept. Five types of NHP categorizations by consumers, based on the degree of affordance (low vs. high) and type of innovation (incremental vs. radical), have been detected and filled a gap in the literature on the subject.     

Lean Implementation in Small and Medium‐Sized Enterprises in Less Developed Countries: Some Empirical Evidences From North Africa

The purpose of this paper is to provide an exploration and analysis of lean implementation in small and medium‐sized enterprises (SMEs) in less developed countries. Therefore, exploratory empirical evidences were collected from a survey study among a sample of 84 SMEs in North Africa. Moreover, statistical tests were conducted to assess the overall picture of lean among SMEs in this region. Although SMEs have expressed their immense need for lean, the level of its implementation is found to be very low. The findings could encourage further extensive studies to develop strategies to promote the use of lean in these countries.     

The characteristic function of rough Heston models

It has been recently shown that rough volatility models, where the volatility is driven by a fractional Brownian motion with small Hurst parameter, provide very relevant dynamics in order to reproduce the behavior of both historical and implied volatilities. However, due to the non‐Markovian nature of the fractional Brownian motion, they raise new issues when it comes to derivatives pricing. Using an original link between nearly unstable Hawkes processes and fractional volatility models, we compute the characteristic function of the log‐price in rough Heston models. In the classical Heston model, the characteristic function is expressed in terms of the solution of a Riccati equation. Here, we show that rough Heston models exhibit quite a similar structure, the Riccati equation being replaced by a fractional Riccati equation.     

Pareto efficient allocation of an in-motion wireless charging infrastructure for electric vehicles in a multipath network

Electric vehicles (EV) use an eco-friendly technology that limits the greenhouse gas emissions of the transport sector, but the limited battery capacity and the density of the battery are the major barriers to the widespread adoption of EV. To mitigate this, a good method seems to be the innovative wireless charging technology called ‘On-Line EV (OLEV)’, which is a contactless electric power transfer technology. This EV technology has the potential to charge the vehicle’s battery dynamically while the vehicle is in motion. This system helps to reduce not only the size of the battery but also its cost, and it also contributes to extending the driving range before the EV has to stop. The high cost of this technology requires an optimal location of the infrastructure along the route. For this reason, the objective of this paper is to study the problem of the location of the wireless charging infrastructure in a transport network composed of multiple routes between the origin and the destination. To find a strategic solution to this problem, we first and foremost propose a nonlinear integer programming solution to reach a compromise between the cost of the battery, which is related to its capacity, and the cost of installing the power transmitters, while maintaining the quality of the vehicle’s routing. Second, we adapt the multi-objective particle swarm optimization (MPSO) approach to our problem, as the particles were robust in solving nonlinear optimization problems. Since we have a multi-objective problem with two binary variables, we combine the binary and discrete versions of the particle swarm optimization approach with the multi-objective one. The port of Le Havre is presented as a case study to illustrate the proposed methodology. The results are analyzed and discussed in order to point out the efficiency of our resolution method.