Pathways from workplace flexibility to turnover intention: Role of work–family conflict,family–work conflict,and job satisfaction

This study examined the prevalence of workplace flexibility and the mechanisms that allow workplace flexibility to influence turnover intentions through work–family and family–work conflicts and job satisfaction among low‐wage workers in South Korea. Participants included 250 low‐wage workers whose monthly salary was less than 2 million Korean won (approx. $1,900). The study results indicate that low‐wage workers have limited access to workplace flexibility and that workplace flexibility plays a significant protective role in reducing their turnover intention, indirectly by decreasing work–family conflicts and enhancing job satisfaction. This article also discusses the implications of these findings for labor policy and social work practice.     

新中国成立初期马克思主义在新疆地区的传播(1949—1955年）

新中国成立初期,马克思主义在新疆地区的传播,历经了从边缘走向中心、从隐蔽走向公开,进而发展为常态化的历史过程。这一过程,蕴涵着马克思主义理论的内在诉求,是中国共产党执政的在场体现,也深度契合了新疆地区各族人民的迫切需求。面对传播过程中出现的话语、文本和媒介等现实问题,党和政府通过加强党组织建设以建构话语路径、翻译出版经典著作以建构文本路径、完善本土大众传媒以建构媒介路径等来化解问题,从而为新疆维吾尔自治区成立奠定了思想与理论基础,强化了中国共产党在新疆地区的组织建设,也推进了本土传播媒介的发展与提升,更为马克思主义在民族地区传播的理论探究提供了现实参考。     

莎士比亚作品中所体现的同性取向倾向探究——以《威尼斯商人》与十四行诗为例

莎士比亚作为文艺复兴时期杰出的戏剧家和诗人,在欧洲文学史上占有重要的地位,由于莎士比亚的文学地位,使得学术界多以一种崇拜的眼光去解读其作品,而其作品中一些细微之处流露的情绪却很少被人们发觉。男同性恋文学的书写在莎士比亚的作品中对这一命题的表现的十分隐晦,通常欲言又止,但我们还是可以在其作品中发现一些蛛丝马迹。本文旨在通过分析其作品《威尼斯商人》与《莎士比亚十四行诗》来对其作品中所体现的同性化创作倾向与其同性取向倾向进行一些探究。     

医疗需求与中国医疗费用增长——基于城乡老年医疗支出差异的视角

在人口老龄化和老年医疗支出城乡差异凸显的背景下,中国医疗费用增长部分源于合理的健康需求。利用中国营养与健康调查1991—2011年的八轮数据,构造出生组跟踪样本,分别考察城乡居民医疗支出的年龄效应,估算城乡老年医疗需求导致的费用上涨,可以发现:城市居民的人均医疗支出随年龄显著增加,但农村居民的人均医疗支出随年龄增长的趋势并不明显。而忽略出生组效应,会低估城乡老年医疗支出的差距。城乡老年医疗支出差距缩小,将导致医疗费用在2010—2030年年均实际增长约5.2%。在控制医疗总费用上涨的同时,医疗保险制度需根据老年医疗需求,调整医疗资源配置结构。     

Environmental Justice in the Context of Scientifi Uncertainty: On the Safety of Genetically Modifi Organisms

应对风险特别是科学不确定性所导致的风险，实现和维护环境正义是当今时代的 一个前沿核心议题。转基因生物安全为代表的科学不确定性背景下的环境正义，需要 建立在相应的科学研究基础之上，但在本质上乃是一种社会构建。对转基因生物技术 及其产品等现代科技的研发、应用和推广等活动，应当维护其市场自由，与此同时， 为了公共安全以及社会弱势群体的最大利益，还应当对相关科技活动进行必要的政府 干预和法律规制。     

Towards Uniformly Efficient Trend Estimation Under Weak/Strong Correlation and Non‐stationary Volatility

In this paper, we consider the deterministic trend model where the error process is allowed to be weakly or strongly correlated and subject to non‐stationary volatility. Extant estimators of the trend coefficient are analysed. We find that under heteroskedasticity, the Cochrane–Orcutt‐type estimator (with some initial condition) could be less efficient than Ordinary Least Squares (OLS) when the process is highly persistent, whereas it is asymptotically equivalent to OLS when the process is less persistent. An efficient non‐parametrically weighted Cochrane–Orcutt‐type estimator is then proposed. The efficiency is uniform over weak or strong serial correlation and non‐stationary volatility of unknown form. The feasible estimator relies on non‐parametric estimation of the volatility function, and the asymptotic theory is provided. We use the data‐dependent smoothing bandwidth that can automatically adjust for the strength of non‐stationarity in volatilities. The implementation does not require pretesting persistence of the process or specification of non‐stationary volatility. Finite‐sample evaluation via simulations and an empirical application demonstrates the good performance of proposed estimators.     

Too Hard to Shout Over the Loudest Frame: Effects of Competing Frames in the Context of the Crystallized Media Coverage on Offshore Outsourcing

This study investigates the effects of competing frames in newspaper coverage of offshore outsourcing, an issue that is characterized by a predominantly negative, unemployment-focused media framing. The findings of a randomized, controlled experiment (N = 152) demonstrate that conventional framing effects do hold for this issue and for this media context by moving recipients’ attitudes in the direction consistent with the valence of the frame. However, they also show the backfire effect of the positively valenced frame among recipients with greater interest in political and economic news, who become less supportive of outsourcing if they read a story framing outsourcing from a consumer-oriented perspective. Our results contribute to the ongoing debate about the limits of framing effects on forming opinion about contentious policy issues and demonstrate the challenges for nondominant perspectives to make their way to news-savvy audiences even when the nature of the issue in question necessitates considering them.     

Semiparametric Bayesian analysis for longitudinal mixed effects models with non-normal AR(1) errors

Statistics and Computing - This paper studies Bayesian inference on longitudinal mixed effects models with non-normal AR(1) errors. We model the nonparametric zero-mean noise in the autoregression...     

Human capital and agency effects on CEO compensation of IPO biopharmaceutical firms and the market’s response

This paper examines the determinants of base pay and total incentive compensation packages of CEOs of biopharmaceutical firms that have recently gone public, and whether human capital and agency factors affect the market’s response to the initial public offering. We find that in terms of net proceeds, the IPO market appears to reward the firms that have founder-CEOs and CEOs with higher incentive compensation. CEOs with prior venture capital experience are associated with receiving higher incentive compensation, while CEOs with a greater ownership interest in the firm receive lower incentive compensation but higher salaries. CEOs of firms with a greater percentage of insiders are associated with lower salaries. The results should add to our understanding related to human capital and agency theories, as well as help firms and investors better understand and structure CEO compensation.     

Random effects regression mixtures for analyzing infant habituation

Random effects regression mixture models are a way to classify longitudinal data (or trajectories) having possibly varying lengths. The mixture structure of the traditional random effects regression mixture model arises through the distribution of the random regression coefficients, which is assumed to be a mixture of multivariate normals. An extension of this standard model is presented that accounts for various levels of heterogeneity among the trajectories, depending on their assumed error structure. A standard likelihood ratio test is presented for testing this error structure assumption. Full details of an expectation-conditional maximization algorithm for maximum likelihood estimation are also presented. This model is used to analyze data from an infant habituation experiment, where it is desirable to assess whether infants comprise different populations in terms of their habituation time.