Green consumerism and the societal marketing concept: Marketing strategies for the 1990's

This paper examines the impact of these trends on the role of the marketing department in the J990's. Essentially, when the buying habits of consumers are being strangely influenced by green and other environmental issues, the paper argues that the marketing concept and subsequent strategies need to be rethought. The paper then imaginatively develops the concept of societal marketing within this framework, arguing for the need for a long term marketing perspective rather than the short term window dressing approach taken by many marketing departments.     

AHP-based approaches for supplier evaluation: Problems and perspectives

Supplier evaluation has assumed a strategic role in determining competitiveness of large manufacturing companies. An increasing number of researches have been devoted to the development of different kind of methodologies to cope with this problem. Nevertheless, while the number of applications is growing, there is little empirical evidence of the practical usefulness of such tools with a dichotomy between theoretical approaches and empirical applications. Considering this evidence, the goal of this paper is to contribute to understand the above dichotomy by implementing, in a corporate environment, a model for supplier evaluation based on the Analytical Hierarchical Process (AHP), one of the most prominent methodologies used to address the problem. The analysis of the implementation process of the methodology allows the identification of strengths and weaknesses of using formalized supplier selection models to tackle the supplier evaluation problem, also highlighting potential barriers preventing firms to adopt such methods. Relevant issues arising from the application and managerial implications for both customer and suppliers are discussed.     

Bivariate income distributions for assessing inequality and poverty under dependent samples

As indicators of social welfare, the incidence of inequality and poverty is of ongoing concern to policy makers and researchers alike. Of particular interest are the changes in inequality and poverty over time, which are typically assessed through the estimation of income distributions. From this, income inequality and poverty measures, along with their differences and standard errors, can be derived and compared. With panel data becoming more frequently used to make such comparisons, traditional methods which treat income distributions from different years independently and estimate them on a univariate basis, fail to capture the dependence inherent in a sample taken from a panel study. Consequently, parameter estimates are likely to be less efficient, and the standard errors for between-year differences in various inequality and poverty measures will be incorrect. This paper addresses the issue of sample dependence by suggesting a number of bivariate distributions, with Singh–Maddala or Dagum marginals, for a partially dependent sample of household income for two years. Specifically, the distributions considered are the bivariate Singh–Maddala distribution, proposed by Takahasi (1965), and bivariate distributions belonging to the copula class of multivariate distributions, which are an increasingly popular approach to modelling joint distributions. Each bivariate income distribution is estimated via full information maximum likelihood using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey for 2001 and 2005. Parameter estimates for each bivariate income distribution are used to obtain values for mean income and modal income, the Gini inequality coefficient and the headcount ratio poverty measure, along with their differences, enabling the assessment of changes in such measures over time. In addition, the standard errors of each summary measure and their differences, which are of particular interest in this analysis, are calculated using the delta method.     

The Impact of EU Norms and Policies on Consumer Protection Enforcement in Serbia

Pursuant to its 2008 Stabilization and Association Agreement governing the process of EU integration, Serbia is obliged to align its consumer protection standards (including those related to enforcement) with those of the EU. This article considers the overall approach to enforcement of consumer law in Serbia, focussing in particular on the extent to which EU enforcement principles have been successfully exported to Serbia and whether the goals of EU consumer policy have been achieved. It argues that the incorporation of EU norms has brought fundamental changes to Serbian enforcement mechanisms at a formal level, such as in relation to mediation processes as well as the introduction of injunctions for the protection of collective consumer interests. In practice, however, the impact of this incorporation is quite limited. A number of factors that restrict the practical effectiveness of the mediation processes and injunctions required by EU law are explored in the article, including weak sanctions, excessive reliance on poorly resourced consumer organizations, absence of a business culture of compliance or a sophisticated and determined consumer protection enforcement culture sufficiently grounded in expertise, as well as an overarching political, legislative, and institutional instability. These factors also undermine the general aim of EU policy to achieve effective consumer protection enforcement in the Serbian context.     

A disaggregated analysis of the export performance of some industrial and emerging countries

The paper describes the evolution of export shares and quantifies the contribution of geographical and sectoral specialization as well as that of “competitiveness” of some industrial and emerging market economies between 1985 and 2003. While the strong growth of emerging countries as world competitors has lowered the market shares of all industrial countries, the results of a constant-market-share analysis indicate that the latter have benefited from positive specialization effects. Specifically, industrial countries gained from being specialized in fast-growing sectors (high-tech) or destinations (Asia). The magnitude of these effects, however, has been quite diversified across the main countries. Among the emerging economies, the striking export growth of China was determined by a strong rise in competitiveness that allowed the country to gain market shares across all sectors and destinations.     

Stock Returns,Productivity, and Corruption in Eight European Fast-Emerging Markets

This article addresses the impact of productivity, corruption, and trade openness on the stock returns of 265 industrial companies listed in eight Eastern European fast-emerging markets, over the 2004-2013 period. Through a three-factor model that includes both measures at firm level and macro-level control variables, our findings suggest that country corruption index is negatively correlated with the total annual return of the stocks of the listed industrial companies of our sample. Moreover, the most productive firms are featured by higher stock returns, while leverage seems not to be a key predictor of stock returns. In addition, the article uncovers innovative evidence about trade openness that is negatively correlated with stock returns due to its connection with the recent financial crisis. That is, firms operating in markets that are more open to trade show a higher degree of interconnection with other economies and are more likely to undergo the effects of negative fluctuations from foreign markets during the economic crisis. © 2015 Wiley Periodicals, Inc.     

Rundfunkfinanzierung: von Gebühren und Beiträgen jetzt zur Indexierung?

The 2013 reform of the system for federal funding for public broadcasting has not put the issue to rest, as the reform has been followed by many critical voices. For example, the public broadcaster ARD now suggests linking its funding to GDP. As different types of funding streams alter how efficient and effectively public broadcasters can pursue their non profit goals, this article analyses options for funding public broadcasting. It seems that a mixed approach would serve as a possible solution.     

Combining forecasts: some results on exchange and interest rates

The aim of this work is to investigate whether the combination of forecasts plays an important role in the improvement of forecast accuracy Particular attention is paid to: (a) the methods of forecasting (the methods compared are neural networks, fuzzy logic, GARCH models, switching regime and chaotic dynamics); (b) combining the forecasts provided by the different methods. This work has also the aim of revising a short-term econometric forecast using a longer-term forecast. The revision process usually runs the opposite way (revision is made on a longer-term forecast using a short-term one to reflect the current available information, but it is not excluded that it is possible to proceed as described above. Daily data from the financial market is used. Some empirical applications on exchange and interest rates are given.