Empirical Evaluation of Fair Use Flat Rate Strategies for Mobile Internet

The fair use flat rate is a promising tariff concept for the mobile telecommunication industry. Similar to classical flat rates it allows unlimited usage at a fixed monthly fee. Contrary to classical flat rates it limits the access speed once a certain usage threshold is exceeded. Due to the current global roll-out of the LTE (Long Term Evolution) technology and the related economic changes for telecommunication providers, the application of fair use flat rates needs a reassessment. We therefore propose a simulation model to evaluate different pricing strategies and their contribution margin impact. The key input element of the model is provided by so-called discrete choice experiments that allow the estimation of customer preferences.     

Methods and tools for integrated assessment of land use policies on sustainable development in developing countries

For stimulating sustainable development in developing countries, land use patterns and land use changes are considered critical, and therefore effective and efficient land use policies are needed. In this paper we present a methodological framework that has been developed in a joint European and developing countries project (LUPIS – Land Use Policies and Sustainable Development in Developing Countries), to assess the impact of land use policies on sustainable development in developing countries. An illustrative application is presented for a case study in China, where water pollution due to agriculture in Taihu Basin is a major problem.     

Local institutions: Regulation and valuation of forest use—Evidence from Central Sulawesi,Indonesia

Forest management poses particular challenges as the pressure on forests is huge due to deforestation. In this context, the establishment of protected areas is a common conservation measure where institutions are put in place and sanctions regarding forest use are enforced. This paper focuses on the practice of sustainable forest management and the associated perspectives of local institutions at the rainforest margins of Lore Lindu National Park (LLNP) in Central Sulawesi, Indonesia.     

Wissensvermittlung durch ProduktplatzierungenProduct Placement and Knowledge Transfer

Although product placement research differentiates between specific placement effects, the placement of Brands and Brand information, which goes far beyond the mere presence of brands in media entertainment, are simply not taken into account. We assume that this form of product placement can generate knowledge and produce a learn effect. Actual insights on the cognitive effect of product placements, brand knowledge and Neurobiology, working theories and a Hypothesis on the growing knowledge gap, only go to reinforce this assumption and confirm that the learn effect through factors such as brand know-how, relevance, education and attractiveness of the media protagonist can be influenced. The results of an experiment in which audio-visual stimulus material was presented with or without placement showed the the information placed was recognized, remembered and therefore learned. While brand know-how and relevance have no influence on the intensity of this learn effect, attractive and well educated protagonists contributed to strengthen memory performance.     

Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

Recent empirical assessments revealed that footprint indicators calculated with various multi-regional input–output (MRIO) databases deliver deviating results. In this paper, we propose a new method, called structural production layer decomposition (SPLD), which complements existing structural decomposition approaches. SPLD enables differentiating between effects stemming from specific parts in the technology matrix, e.g. trade blocks vs. domestic blocks, while still allowing to link the various effects to the total region footprint. Using the carbon footprint of the EU-28 in 2011 as an example, we analyse the differences between EXIOBASE, Eora, GTAP and WIOD. Identical environmental data are used across all MRIO databases. In all model comparisons, variations in domestic blocks have a more significant impact on the carbon footprint than variations in trade blocks. The results provide a wealth of information for MRIO developers and are relevant for policy makers designing climate policy measures targeted to specific stages along product supply chains.     

Tourism,tourist learning and sustainability: an exploratory discussion of complexities,problems and opportunities

Learning is often a central element of tourism. Tourists can learn actively, i.e. with a specific purpose, as well as passively through the comparison of values, norms and customs. It has been argued that travel supports active learning that has positive outcomes for sustainability, for instance, in the context of conservation. Yet, the complexity of active and passive learning processes and their outcomes for environmental sustainability and sustainable lifestyles remain insufficiently understood. Against this background, the paper discusses selected learning outcomes for transportation (air travel), accommodation (hotels) and activities (theme park visits). Findings suggest that “desirable” learning (defined as pro-sustainable development learning) in tourism may be very limited, while in particular, passive learning processes which redefine social norms frequently have outcomes that are largely detrimental to sustainable lifestyles. They include forms of moral licensing, the diffusion of responsibilities as well as the attenuation of the negative consequences of travel. Given the economic, social and cultural importance of tourism vís-a-vís its global implications for environmental sustainability, learning outcomes in tourism deserve to be studied in greater detail, while strategies need to be devised to enhance sustainable learning effects.     

The multiple filter test for change point detection in time series

A framework for the detection of change points in the expectation in sequences of random variables is presented. Specifically, we investigate time series with general distributional assumptions that may show an unknown number of change points in the expectation occurring on multiple time scales and that may also contain change points in other parameters. To that end we propose a multiple filter test (MFT) that tests the null hypothesis of constant expectation and, in case of rejection of the null hypothesis, an algorithm that estimates the change points.The MFT has three important benefits. First, it allows for general distributional assumptions in the underlying model, assuming piecewise sequences of i.i.d. random variables, where also relaxations with regard to identical distribution or independence are possible. Second, it uses a MOSUM type statistic and an asymptotic setting in which the MOSUM process converges weakly to a functional of a Brownian motion which is then used to simulate the rejection threshold of the statistical test. This approach enables a simultaneous application of multiple MOSUM processes which improves the detection of change points that occur on different time scales. Third, we also show that the method is practically robust against changes in other distributional parameters such as the variance or higher order moments which might occur with or even without a change in expectation. A function implementing the described test and change point estimation is available in the R package MFT.     

Sensitive Survey Questions: Measuring Attitudes Regarding Female Genital Cutting Through a List Experiment

Potential bias in survey responses is higher if sensitive outcomes are measured. This study analyses attitudes towards female genital cutting (FGC) in Ethiopia. A list experiment is designed to elicit truthful answers about FGC support and compares these outcomes with the answers given to a direct question. Our results confirm that the average bias is substantial as answers to direct questions underestimate the FGC support by about 10 percentage points. Moreover, our results provide suggestive but not statistically significant evidence that this bias is more pronounced among uneducated women and women targeted by an NGO intervention (not randomly assigned).     

Öffentliches und Geheimes

In the second half of 2009, the entire media agenda in Germany was dominated by the swine flu, next to the German Federal Parliament elections. Criticism was voiced in the media against the pharmaceutical industry for lobbying the nationwide swine flu vaccination, which was widely considered nothing but a product of the industry’s lobbying power. In order to avoid the usual interviews with lobbyists, we attempted to apply a new methodological framework approach in analysing lobbying processes and key stakeholders in the public sphere—and outside. Crucial to the diversified approach, which involves quantitative content analysis of media coverage and press releases, are interviews with journalists, lobbyists’ network analysis and internet research on biographies. Although a conspiracy could not be conclusively proven, the results do indicate associations that validate the criticism of the industry’s lobbying activities.