1,720,980 research outputs found
Illicit animal trade and infectious diseases
Full text linkPublished online: 20 March 2025Can evasionary practices in the commercial trade of live animals spread infectious animal diseases? We analyze the link between discrepancies in the traded value of live animals that are reported by partner countries – a proxy measure which has been used in the trade literature to uncover evidence on smuggling across items like antiques, cultural property, or natural resources – and infectious animal diseases. The results imply that a 1% increase in illicit live animal trade is associated with a 0.3% to 0.5% rise in infection cases in animals, which is driven by evasionary practices like species mis-classification and under-pricing. Crucially, we demonstrate that robust border inspections effectively curb these risks, offering a practical tool to combat the spread of animal diseases through illicit live animal trade
Riot rewards? Study of BJP's electoral performance and Hindu Muslim riots
Full text linkDo incidents of ethnic polarization influence voter behavior? I address this question through the case study of India, the world's largest functional democracy. Specifically, I test whether prior events of Hindu-Muslim riots electorally benefit Bharatiya Janta Party (BJP), a prominent Hindu nationalist party? The paper contributes to the literature by being the first to establish a causal relationship between Hindu-Muslim riots and BJP's electoral performance. Results show that riots have a positive and significant effect on BJP's vote share and are robust to our instrumentation strategy. The party vote share increases between 2.9 to 4.4 percent in response to different riot outcomes. Results seem to back the theory of electoral incentives i.e. parties representing elites among ethnic groups may have an incentive to instigate ethnic conflict to influence the marginal voter
Votes for sale
Full text linkThis paper examines the financial gains derived from holding public office for independent legislators in India. Given that party-affiliated legislators are legally prohibited from engaging
in cross-voting or defection, I hypothesize that independent legislators can secure rents when their support becomes pivotal for government formation. Utilizing candidate asset disclosures from Indian state elections spanning 2003 to 2012, I demonstrate that independent legislators amass wealth at a faster pace than their party-affiliated counterparts in states where the largest party or coalition falls short of a majority. The point estimates suggest that, for each additional seat that the largest party or coalition falls short of a majority, an independent legislator experiences an approximate 2% annual increase in their assets relative to a party affiliated legislator. The disproportionate gains are particularly prominent in movable assets,
implying a potential quid-pro-quo involving cash payments
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Trade Facilitation and Tariff Evasion
Full text linkThis paper investigates the extent to which trade facilitation measures included in the WTO Trade Facilitation Agreement affect tariff evasion. In a dataset covering 121 countries and the whole set of HS6 product categories in 2012, 2015, and 2017, the paper shows that trade facilitation measures that improve legal certainty for traders moderate tariff evasion. Holding tariff rate constant at its mean, one standard deviation improvement in trade facilitation measures related to legal certainty reduces tariff evasion, as measured by missing imports in trade statistics, by almost 12%. In a counterfactual with full trade liberalization, countries with higher scores on facilitation measures related to legal certainty experience larger reductions in tariff evasion than countries with lower scores on these measures, even for similar initial tariff rates. We investigate potential channels and show that improving legal certainty is effective in reducing tariff evasion due to under-reporting of import prices and under-reporting of import quantities, as well as in countries with weakest control of corruption
Reducing tariff evasion : the role of trade facilitation
Full text linkAvailable online: 31 January 2022Can simplifying customs procedures reduce tariff evasion? We measure tariff evasion as the mis-representation of import values in response to increasing tariffs. In a dataset covering 121 countries and the whole set of HS6 product categories in 2012, 2015, and 2017, we show that simplifying border procedures, that is trade facilitation, reduces tariff evasion. Holding tariff rate constant at its mean, improving a country’s overall trade facilitation performance from the 25th percentile to the median reduces tariff evasion by almost 20%. The moderating effect is especially due to improving the pre-shipment legal certainty of customs procedures. Among the potential mechanisms, improving trade facilitation performance is effective in reducing tariff evasion due to under-reporting of import prices, as well as in countries with weaker control of corruption. The results suggest that countries can gradually implement trade facilitation reforms to cost-effectively minimize tariff evasion
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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