Showing 1 - 20 results of 979 for search '(((( b large decrease ) OR ( ari values decrease ))) OR ( a market decrease ))', query time: 0.44s Refine Results
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    Study variables. by Amit Timilsina (15203538)

    Published 2025
    “…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”
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    Descriptive statistics. by Amit Timilsina (15203538)

    Published 2025
    “…We employed a logit model on the geo-linked NDHS datasets to compute the marginal effect of forest cover on ARI, diarrhoea, and fever.</p><p>Results</p><p>From 2011 to 2016, the prevalence of fever increased from 18% to 20%, while the prevalence of diarrhoea decreased from 14% to 7%, and ARI prevalence decreased from 5% to 3%. …”
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    Market structure of e-commerce platforms. by Min Zhao (66793)

    Published 2025
    “…Based on the network externality perspective, considering the duopoly e-commerce platform market, this paper uses game theory to construct a theoretical model to compare and analyze the changes in consumers, merchants, platforms, and social total welfare when the reputation information of e-commerce products is symmetric and asymmetric. …”
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    A sample choice question with a warning label. by Yulian Ding (5984591)

    Published 2024
    “…The rapid increase in SSB consumption in China necessitates robust regulations. This study employed a choice experiment to simulate the market scenario in which a text warning label was presented on SSBs. …”
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    A sample choice question without a warning label. by Yulian Ding (5984591)

    Published 2024
    “…The rapid increase in SSB consumption in China necessitates robust regulations. This study employed a choice experiment to simulate the market scenario in which a text warning label was presented on SSBs. …”
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    Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

    Published 2024
    “…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”
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