The effects of child maltreatment on childhood behaviour problems in South Korea: findings from the fifth Korea Child and Youth Panel Survey (the 2014 KCYPS)

The study examines the effects of child maltreatment on children behavioural problems in South Korea. We found that 11.5% of children experienced physical abuse, 28.7% experienced emotional abuse and about 35% experienced neglect. After controlling for all socio-demographic factors, children who experienced physical abuse, emotional abuse and neglect were more likely to develop internalised as well as externalised behavioural problems such as depression, aggression, underage smoking, underage drinking and engaging in cyber delinquency. The results point towards a need to develop social welfare interventions to mitigate physical/emotional abuse and neglect so as to prevent behavioural problems in South Korean children.     

Framing effect on the public's response to crisis: Human interest frame and crisis type influencing responsibility and blame

This study investigated the effects of a human interest frame and types of crisis in news coverage of a corporate crisis on people's responses to the crisis. To examine the effects, this study used 2 (human interest frame versus non-human interest frame) × 2 (an accident versus a transgression) mixed factorial design. The results indicate that the human interest frame influenced participants’ emotional response to the crisis and the emotional response influenced by the human interest frame was a significant predictor of blame and responsibility in a transgression crisis.     

Using Community-Level Correlates to Evaluate Nonresponse Effects in a Telephone Survey

Understanding the relationship between nonresponse processesand key research variables is central to evaluating if and hownonresponse introduces bias into survey estimates. In most telephonesurveys, however, little information is available with whichto estimate these effects. We report a procedure for examiningthe potential effects of nonresponse via analyses that (1) investigatethe linkages between community-level (zip code) variables andsurvey nonresponse and (2) examine the associations betweenthese community-level variables and key survey measures. Wedemonstrate these procedures using hierarchical modeling toanalyze data from a state-wide telephone survey in Illinois.One zip code–level indicator of concentrated disadvantage—thepercentage of the population below poverty level—was foundto be positively associated with nonresponse and, among respondents,with both current physical disability status and lack of healthinsurance coverage, suggesting that both may have been underestimatedin this survey. This inexpensive approach has the potentialof enabling researchers to routinely evaluate nonresponse effectsin their survey data.     

Aggregating Smallholder Farmers in Emerging Economies

The agricultural sector plays an important role in emerging economies even though most farmers are trapped in the poverty cycle owing to their smallholdings. Aggregating farmers through formal or informal cooperatives (coops) can enable them to: (i) reduce production cost; (ii) increase/stabilize process yield; (iii) increase brand awareness; (iv) eliminate unnecessary intermediaries; and (v) eliminate price uncertainty. To examine whether these effects will benefit the members of such aggregation when they compete with other individual farmers, we present separate models to capture the essence of these five effects. For each effect, we find that it is beneficial for a farmer to be part of the aggregation only when the size of the aggregation is below a certain threshold. Also, while certain effects are beneficial to the market as a whole, other effects are hurtful due to higher market price and/or lower production quantity.     

Commercialization of Platform Technologies: Launch Timing and Versioning Strategy

Many emerging entrepreneurial applications and services connect two or more groups of users over Internet‐based information technologies. Commercial success of such technology products requires astute business practices related to product line design, price discrimination, and launch timing. We examine these issues for a platform firm that serves two markets—labeled as user and developer markets—such that the size of each market positively impacts participation in the other. In addition, our model allows for sequential unfolding of consumer and developer participation, and for uncertainty regarding developer participation. We demonstrate that product versioning is an especially attractive strategy for platform firms, that is, the trade‐off between market size and margins is tilted in the direction of more versions. However, when expanding the product line carries substantial fixed costs (e.g., marketing cost, cost of additional plant, increased distribution cost), then the uncertainty in developer participation adversely impacts the firm's ability to offer multiple versions. We show that for established firms with lower uncertainty about developer participation, the choice is essentially between an expanded or minimal product line. Startups and firms that are entering a new product category are more likely to benefit from a “wait and see” deferred expansion strategy.     

A profile of support group use and need among middle-aged and older adults with multiple sclerosis

This study compared middle-aged and older adults with multiple sclerosis (MS, N = 1,275) according to their use of support groups and identified factors associated with perceived need. Over 64.6% (n = 824) of participants had attended a MS support group meeting at least once. Individuals who had never attended a group were more likely to reside in urban or suburban communities, report lower symptom interference, and fewer activity limitations. Women, individuals without a helper, and people with greater symptom interference were more likely to perceive a need for a support group. Findings raise questions for professionals involved in developing and implementing multiple sclerosis support groups.     

The emergence of a health insurance system in a developing country: the case of South Korea

In an attempt to understand the social forces and the economic and political conditions under which new social policies emerge in developing countries, this study outlines factors affecting the introduction of the health insurance system in South Korea. The emergence of the South Korean health insurance system was influenced by changing labor needs of the industrial sector, increasing social expectations, external and international pressures, increasing medical costs, and class conflict. These pressures compelled the South Korean government to respond to demands for the introduction of new social welfare policies in the 1970s. In the case of South Korea, the new health insurance system resulted from the government's attempts to cope with political, economic, and social pressures rather than from an ideological commitment to the well-being of the population. The resulting insurance system was a way to maintain the social order and legitimacy of the regime, and a means to promote the health of groups important to defense or production.     

Rational Regression Models with Continuous Chebyshev Design

In rational regression models, the G-optimal designs are very difficult to derive in general. Even when an G-optimal design can be found, it has, from the point of view of modern nonparametric regression, certain drawbacks because the optimal design crucially depends on the model. Hence, it can be used only when the model is given in advance. This leads to the problem of finding designs which would be nearly optimal for a broad class of rational regression models. In this article, we will show that the so-called continuous Chebyshev Design is a practical solution to this problem.