1,721,102 research outputs found

    Swedish farmers' approval of nudges

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    Abstract Interest in the use of behavioral policy approaches, such as nudges, has strongly increased over the past years, including in the domains of food, agricultural and environmental policies. While the approval of nudges among the general public has been studied extensively, we know little about the attitude of farmers toward nudging. Farmers may (perceive to) be affected directly by food and agriculture nudges, which may result in different approval as compared to citizens. Moreover, given the increased interest in the use of nudges targeting farm behavior, it is relevant to know their attitude toward these policies. In an online survey, 342 Swedish farmers indicated their approval or disapproval of the same nudging policies that have been investigated in earlier studies with citizens. We find that, overall and over all areas covered, farmers have remarkably lower approval rates of nudging policies than the general public. While this may be partially explained by their socioeconomic profiles, also the connection of some nudges with farming activities may explain their different opinion. We find that farmers with a “green” orientation are generally more favorable, especially so for “green” nudges. [EconLit Citations: Q18, D03]

    Comprehension in risk elicitation experiments

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    Economic experiments are increasingly conducted with field populations for whom comprehension of instructions may be more difficult to achieve. We investigate how framing experimental instructions in a familiar context and incentivizing the experimental task may affect comprehension. Based on an experiment with 146 German farmers, we compare four different versions of a Holt-and-Laury multiple price list. We find that incentives have a small positive effect on comprehension, as measured by the probability of making inconsistent choices and subjects' self-assessment. In the absence of incentives, framing negatively affects comprehension. Comprehension is enhanced for farmers who score high on a numeracy test. We conclude that contextual framing might confuse subjects, whereas incentives can help to facilitate comprehension of experimental instructions.Deutsche Forschungsgemeinschaft (DFG

    The p-Value Debate and Statistical (Mal)practice – Implications for the Agricultural and Food Economics Community

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    A vivid debate is ongoing in the scientific community about statistical malpractice and the related publication bias. No general consensus exists on the consequences and this is reflected in heterogeneous rules defined by scientific journals on the use and reporting of statistical inference. This paper aims at providing an overview on the debate, discussing how it is perceived by the agricultural economics community, and deriving implications for our roles as researchers, contributors to the scientific publication process, and teachers. Following a ‘Mixed Methods Review’, we start by summarizing the current state of the p-value debate in the context of the replication crisis and commonly applied statistical practices in our community. This is followed by motivation, design, results and discussion of an explorative and descriptive survey on statistical knowledge and practice among the researchers in the agricultural economics community in Austria, Germany and Switzerland. Instead of providing specific guidelines or rules, we derive implications for our roles in the scientific process to support a needed long-term cultural change regarding empirical scientific practices. Acceptance of scientific work should largely be based on the theoretical and methodological rigor and where the perceived relevance arises from the questions asked, the methodology employed, and the data used but not from the results generated. Revised and clear journal guidelines, the creation of resources for teaching and research, and public recognition of good practice are suggested measures to move forward

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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
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