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on Knowledge Management and Knowledge Economy |
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Issue of 2021‒07‒12
three papers chosen by Laura Ştefănescu Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Ken Tabata (School of Economics, Kwansei Gakuin University) |
| Abstract: | This study examines how redistributive policy attempting to reduce inequality by taxing the bequests of the rich and redistributing the revenue to the poor affects economic growth in an overlapping generations model of R&D-based growth with both product development and process innovation. We show that such a policy simultaneously increases growth and reduces inequality in the long run. When the market structure adjusts, partially reducing inequality in the short run, the effect of redistributive policy on economic growth depends on the values of the social return to variety parameter. However, when the market structure adjusts fully in the long run, the redistributive policy decreases the entry of new firms but raises economic growth and reduces inequality. These favorable predictions of redistributive bequest taxation on growth and inequality are partly consistent with the empirical findings that redistribution is generally benign in terms of economic growth and that lower post-transfer inequality is correlated with faster and more durable growth. |
| Keywords: | R&D, Product Development, Process Innovation |
| JEL: | E62 H50 O31 O40 |
| Date: | 2021–07 |
| URL: | http://d.repec.org/n?u=RePEc:kgu:wpaper:227&r= |
| By: | Chatterjee, Sidharta; Samanta, Mousumi |
| Abstract: | In this research paper, we discuss the nature of social knowledge and how it can influence consumer sentiments by affecting their economic decisions to some extent. In fact, this is a brief study of social knowledge summarizing its evolutionary origin and phylogenesis in the modern context. We have designed a simplistic mathematical model for a theoretical understanding of our assumption that has practical implications regarding its utility in the society. We find social networks generate enough social information that can influence user choice and preferences. Our study has implications for both the users and the developers of social networking sites. |
| Keywords: | Social knowledge, social information, consumer choice, social networking, knowledge society. |
| JEL: | Z1 Z13 |
| Date: | 2021–06–18 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:108343&r= |
| By: | King, Molly M. (Santa Clara University) |
| Abstract: | The structured inequalities built into our sociotechnical institutions shape access to knowledge. During the COVID-19 pandemic, knowledge acquisition was shaped by news sources, class, and race. Through analysis of nationally representative data using logistic models, this study reveals how the use of different news sources differentially shapes access to accurate knowledge about COVID-19 topics for different demographics. Those who rely on informal and local news sources have the largest knowledge gaps about these topics, while those who seek information from national or international news outlets and politicians have the most accurate knowledge. Race and class influence knowledge of government operations, public health, and science of COVID-19. In particular, Black people, people with less education, and those with lower incomes are significantly less likely to have accurate knowledge about COVID-19, all else equal. These findings have implications for knowledge dissemination that impacts public health, as well as for how news media target different audiences in an increasingly fractured landscape. |
| Date: | 2021–07–01 |
| URL: | http://d.repec.org/n?u=RePEc:osf:socarx:c76qh&r= |