1,721,039 research outputs found
Replication Data for: Can Policy-Packaging Increase Public Support for Costly Policies? Insights from a Choice Experiment on Policies against Vehicle Emissions
No full textPublic support is usually a precondition for the adoption and successful implementation of costly policies. We argue that such support is easier to achieve with policy-packages that incorporate primary and ancillary measures. We specifically distinguish command-and-control and market-based measures as primary measures and argue that the former will usually garner more public support than the latter given the low visibility tendency of costs associated with command-and-control measures. Nevertheless, if included in a policy-package, ancillary measures are likely to increase public support by reducing negative effects of primary measures. Based on a choice experiment with a representative sample of 2,034 Swiss citizens, we assess these arguments with respect to political efforts to reduce vehicle emissions. The empirical analysis supports the argument that policy-packaging affects public support positively, particularly generating more support when ancillary measures are added. Lastly, we ultimately observe that command-and-control measures obtain more public support than market-based instruments
Replication Data for: Can Policy-Packaging Increase Public Support for Costly Policies? Insights from a Choice Experiment on Policies against Vehicle Emissions
No full textPublic support is usually a precondition for the adoption and successful implementation of costly policies. We argue that such support is easier to achieve with policy-packages that incorporate primary and ancillary measures. We specifically distinguish command-and-control and market-based measures as primary measures and argue that the former will usually garner more public support than the latter given the low visibility tendency of costs associated with command-and-control measures. Nevertheless, if included in a policy-package, ancillary measures are likely to increase public support by reducing negative effects of primary measures. Based on a choice experiment with a representative sample of 2,034 Swiss citizens, we assess these arguments with respect to political efforts to reduce vehicle emissions. The empirical analysis supports the argument that policy-packaging affects public support positively, particularly generating more support when ancillary measures are added. Lastly, we ultimately observe that command-and-control measures obtain more public support than market-based instruments
Replication Data for: "In Search of Politically Feasible Policy-Packages for Sustainable Passenger Transport: Insights from Choice Experiments in China, Germany, and the USA"
No full textThe main obstacle to making the transportation sector ecologically more sustainable is political fea-sibility. Effective policy-interventions usually encounter strong public opposition as they interfere in costly ways with people’s daily lives, unveiling a dilemma between political feasibility and environ-mental policy effectiveness. Evidencing the existence of this dilemma, the literature on attitudes towards different policy instrument types maintains that so-called push measures are less support-ed by citizens than pull measures, and that market-based instruments tend to be less supported than non-market instruments. While these findings may uphold when considering single policy in-struments, whether they continue to do so when considering policy-packages, that is, simultane-ously implemented policy-interventions consisting of several policy instruments, remains unclear. To identify politically feasible and effective policy-packages aimed at greening the transportation sector we use choice experiments with representative samples of citizens from China, Germany, and the USA (N=4’876). Contrary to existing literature, we find that public support does not neces-sarily depend on the instrument type but rather on specific policy design and is highly context de-pendent. Moreover, despite significant differences between the three country contexts consid-ered, various combinations of policy measures appear to be both potentially effective and sup-ported by most citizens. Altogether, these results suggest that carefully bundled policy-packages may allow governments to employ instruments that would not be politically feasible if introduced in isolation
Replication Data for "Assessing Familiarity Effects on Public Opinion during a Self-Driving Bus Trial"
No full textDisruptive technologies that fundamentally affect markets and society, such as self-driving vehicles, are associated with various positive effects, including environmental benefits due to increased efficiency. These expected benefits may only materialise, however, if such technologies receive sufficient public acceptance. Public acceptance of technology is a necessary precursor of a technology transition. In other contexts, acceptance increased when individuals experienced successful implementation of a trial. Thus, higher acceptance can be expected following implementation, as preliminary concerns prove unfounded and individuals gain familiarity with the new technology. This paper examines citizens’ acceptance of self-driving vehicles. Mainly, I focus on comparing and contrasting acceptance pre- and post-implementation of a self-driving bus service in Switzerland. To gauge acceptance, I conducted a three-wave panel survey using a random sample of residents from three Swiss municipalities between 2018 and 2019. By applying quasi-experimental methods, I can draw causal inference regarding the experience effect with a disruptive technology on acceptance. The results indicate that the experience of an implemented self-driving bus trial does not exert an effect on acceptance. Acceptance levels are, however, at high levels, which also explains the comparably low familiarity effects
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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