23,085 research outputs found

    Disentangling agglomeration and network externalities : a conceptual typology

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    Agglomeration and network externalities are fuzzy concepts. When different meanings are (un)intentionally juxtaposed in analyses of the agglomeration/network externalities-menagerie, researchers may reach inaccurate conclusions about how they interlock. Both externality types can be analytically combined, but only when one adopts a coherent approach to their conceptualization and operationalization, to which end we provide a combinatorial typology. We illustrate the typology by applying a state-of-the-art bipartite network projection detailing the presence of globalized producer services firms in cities in 2012. This leads to two one-mode graphs that can be validly interpreted as topological renderings of agglomeration and network externalities

    Up or Down? How Culture and Color Affect Judgments

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    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.In the Mainland China stock market, an upmarket is represented by the color red, whereas a downmarket is represented by the color green. Elsewhere, including the Chinese Hong Kong stock market, the color representations are the opposite. Three studies were conducted to examine the red-up–green-down effect for Mainland Chinese as well as the green-up–red-down effect for Hong Kong people. Study 1 showed that Mainland Chinese tended to predict greater economic growth (study 1a) and higher growth in consumption trends (study 1b) when the experimental materials were presented in red than in green, whereas Hong Kong participants exhibited the opposite tendencies. Study 2 found that Mainland Chinese implicitly associated red and green with up and down, respectively; Hong Kong people, however, implicitly associated green and red with up and down, respectively. Study 3 further indicated that Mainland Chinese were more likely to predict good outcomes when scenarios were presented in red, whereas Hong Kong participants were more likely to predict good outcomes when scenarios were presented in green. These findings suggest that culturally specific environment cues could influence human prediction and judgment. Implications for judgment generally are discussed

    Cultural evolution in Vietnam’s early 20th century: a Bayesian networks analysis of Franco-Chinese house designs

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    The study of cultural evolution has taken on an increasingly interdisciplinary and diverse approach in explicating phenomena of cultural transmission and adoptions. Inspired by this computational movement, this study uses Bayesian networks analysis, combining both the frequentist and the Hamiltonian Markov chain Monte Carlo (MCMC) approach, to investigate the highly representative elements in the cultural evolution of a Vietnamese city’s architecture in the early 20th century. With a focus on the façade design of 68 old houses in Hanoi’s Old Quarter (based on 78 data lines extracted from 248 photos), the study argues that it is plausible to look at the aesthetics, architecture, and designs of the house façade to find traces of cultural evolution in Vietnam, which went through more than six decades of French colonization and centuries of sociocultural influence from China. The in-depth technical analysis, though refuting the presumed model on the probabilistic dependency among the variables, yields several results, the most notable of which is the strong influence of Buddhism over the decorations of the house façade. Particularly, in the top 5 networks with the best Bayesian Information Criterion (BIC) scores and p\u3c0.05, the variable for decorations (DC) always has a direct probabilistic dependency on the variable B for Buddhism. The paper then checks the robustness of these models using Hamiltonian MCMC method and find the posterior distributions of the models’ coefficients all satisfy the technical requirement. Finally, this study suggests integrating Bayesian statistics in the social sciences in general and for the study of cultural evolution and architectural transformation in particular
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