scholarly journals Voluntary Delisting In Korea: Causes And Impact On Company Performance

2017 ◽  
Vol 33 (2) ◽  
pp. 391-408
Author(s):  
Sun Min Kang
Keyword(s):  
Empirical Evidence ◽  
Performance Indicators ◽  
High Tech ◽  
Company Performance ◽  
Net Income ◽  
Listed Firms ◽  
Growth Prospects ◽  
Over Time

This research investigates the attributes of firms that choose to voluntarily delist in Korea, including the evolution of firms after delisting, using performance indicators such as total assets, revenue, and net income. Empirical evidence suggests that the higher the shareholding ratio of the largest shareholder and the higher the growth prospects and liquidity, the greater the incentive for voluntary delisting. In addition, firms in non-high-tech industries choose to delist more often than those in high-tech industries. Further, firms that have delisted show lower total assets, revenues, and net incomes than listed firms, and these gaps increase over time.

Characteristics, Features of Development, Regional and Sectoral Determinants of High-tech Business in Russia

2017 ◽  
pp. 142-154 ◽  
Author(s):  
A. Yusupova ◽  
S. Khalimova
Keyword(s):  
Regression Analysis ◽  
Performance Indicators ◽  
Sustainability Assessment ◽  
Business Development ◽  
High Tech ◽  
Assessment Data ◽  
High Tech Sector ◽  
Fast Growing ◽  
High Level

The paper deals with the research devoted to characteristics of high tech business development in Russia. Companies’ performance indicators have been analyzed with the help of regression analysis and author’s scheme of leadership stability and sustainability assessment. Data provided by Russia’s Fast Growing High-Tech Companies’ National Rating (TechUp) during 2012-2016 were used. The results have revealed that the high tech sector is characterized by high level of uncertainty. Limited number of regions and sectors which form the basis for high tech business have been defined. Relationship between innovation activity’s indicators and export potential is determined.

Media Malaise and the Decline of Legitimacy

2017 ◽  
Author(s):  
Peter Van Aelst
Keyword(s):  
Systematic Review ◽  
Empirical Evidence ◽  
Media Coverage ◽  
News Coverage ◽  
Political Support ◽  
Level Of Education ◽  
Political News ◽  
Negative Tone ◽  
Election News ◽  
Over Time

This chapter analyzes media malaise theories and their consequences for legitimacy. These theories argue that the increasing availability of information through new and old media and increasingly negative tone of media are to blame for declining legitimacy. The chapter examines these claims by providing a systematic review of empirical research on media and political support. It first investigates whether news coverage has become more negative over time, and then examines the micro process that might explain the link between media coverage and political support. Empirical evidence suggests that where coverage has become more negative, this occurred before the 1990s and has levelled off since, and is concentrated primarily in election news. Negative political news does have a modest impact on political support once controlled for level of education, but that effect can be positive and negative, depending on the medium, the receiver, and the indicator of political support.

scholarly journals Non-random associations in group housed rats (Rattus norvegicus)

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Leanne Proops ◽  
Camille A. Troisi ◽  
Tanja K. Kleinhappel ◽  
Teresa Romero
Keyword(s):  
Network Analysis ◽  
Empirical Evidence ◽  
Rattus Norvegicus ◽  
Dominance Hierarchy ◽  
Group Living ◽  
Ecological Factors ◽  
Limited Evidence ◽  
Rat Strains ◽  
Social Species ◽  
Over Time

AbstractEcological factors, such as predation, have traditionally been used to explain sociability. However, it is increasingly recognised that individuals within a group do not associate randomly, and that these non-random associations can generate fitness advantages. The majority of the empirical evidence on differentiated associations in group-living mammals, however, comes from a limited number of taxa and we still know very little about their occurrence and characteristics in some highly social species, such as rats (Rattus spp.). Here, using network analysis, we quantified association patterns in four groups of male fancy rats. We found that the associations between rats were not randomly distributed and that most individuals had significantly more preferred/avoided associates than expected by random. We also found that these preferences can be stable over time, and that they were not influenced by individuals’ rank position in the dominance hierarchy. Our findings are consistent with work in other mammals, but contrast with the limited evidence available for other rat strains. While further studies in groups with different demographic composition are warranted to confirm our findings, the occurrence of differentiated associations in all male groups of rats have important implications for the management and welfare of captive rat populations.

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