我国老年人口社会分层初探

借鉴西方典型社会分层指标体系,结合老年人口的社会、经济、身体特性,和我国社会实际状况,采用多种社会分层指标,既按收入财富分层。也按地位身份分层,还按性别年龄和自理能力分层,将我国老年人口划分为：老干部阶层、老年知识分子阶层、老年工人阶层、老年农民阶层、老年妇女阶层和需长期照料老人阶层。在当前构建和谐社会中．我国老年人口社会分层研究对于更好的关注老年人口问题有十分重要的意义。     

高瞻远瞩的战略抉择

科教兴国、可持续发展是我国的基本发展战略。本文力图从可持续发展认识的深化 ;国情决定发展战略 ;客观规律是不可抗拒的 ;科学的战略决策指导伟大的实践等方面论证中国必须走可持续发展之路的道理 ,以期引起人们对可持续发展问题的更多关注     

关于养老“时间储蓄”的问题与思考

近年来养老“时间储蓄”成为人们关注的热点问题。通过调查和访谈 ,本文分析了“时间储蓄”的内涵 ,指出了目前存在的问题 ,并从经济学和社会学两种视角审视“时间储蓄”的社会效用 ,说明“时间储蓄”面临的困难和对文化制度建设的意义 ,结论认为“时间储蓄”的可行性和应用性还有待于进一步的思考和论证 ,需要在正确的认识指导下确定详细的实施方案并在一定区域内试点 ,进一步总结经验 ,证明其自身的价值     

大数据与微时代： 虚拟社会公共服务体系的双重建构

大数据与微时代引发了虚拟社会的多重变革,新的服务理念和服务模式呼之欲出,虚拟社会公共服务的走向、模式、内涵正在发生深刻变化。但是受到推送途径、参与机制、数据基础、保障措施等因素的制约,虚拟社会公共服务的质量和效率相对有限,其体系面临着解构与重构。大数据与微时代是当前虚拟社会公共服务体系建构中不可或缺的重要因素,通过培育公共服务精神、推进虚拟社会公共服务均等化发展、强化多元参与主体间的良性互动、完善虚拟社会公共服务体系建构秩序等途径,科学、合理地对其加以运用,将会有效助推虚拟社会公众服务的不断创新和发展。     

道德合法性、区域同构与企业慈善捐赠行为研究——基于我国上市公司的实证

采用我国上市公司数据,实证检验组织外部环境所产生的制度压力与企业慈善捐赠的关系,以及企业可见性与盈利能力对这种关系的影响。研究发现:企业所处区域的慈善捐赠水平正向影响企业的慈善捐赠水平;企业的可见性和盈利能力显著影响调节区域慈善捐赠和企业慈善捐赠水平之间的关系。这样的结论表明,企业所处区域的慈善捐赠活动会形成区域道德合法性标准和区域同构的制度压力,从而驱动企业从众于区域内的其他企业的慈善捐赠行为和捐赠水平;同时企业所处区域慈善捐赠与企业慈善捐赠水平的关系会随着企业可见性和盈利能力的提高而显著增强,因为公众对高可见性或高盈利能力的企业会有更高的道德合法性的期望和压力,企业为了获得这种道德合法性和缓解这种制度压力,会更愿意满足区域慈善捐赠所形成的道德合法性标准。     

基于分群体非均衡推进的新型农村社会养老保险模式创新研究——以山东临沂农村养老保险为例

通过对山东省临沂市农村社会养老保险实施情况的研究以及探讨,提出一种新的制度模式——分群体非均衡推进。该制度主要针对不同的群体现状,先以计生户和失地农民为突破口,鼓励其主动参加社会养老保险,然后逐步带动其它群体加入到社会养老保险行列,最终实现全面覆盖。     

The influence of acculturation level and family relationships on quality of life among U.S. Chinese older adults

ABSTRACT

The present study examined the influence of acculturation level and family relationships (i.e., positive family support and negative family strain) on quality of life (QOL), using the data from the Population Study of ChINese Elderly (PINE) in Chicago (N = 3159). Controlling for sociodemographic variables and health status, it was found that individuals’ acculturation level and positive family support were positively related to QOL, whereas negative family strain was negatively associated with QOL. More importantly, higher acculturation levels were associated with increased protective effects of positive family support and reduced risk effects of negative family strain on QOL among U.S. Chinese older adults.     

On extreme order statistics from heterogeneous beta distributions with applications

This paper treats the problem of stochastic comparisons for the extreme order statistics arising from heterogeneous beta distributions. Some sufficient conditions involved in majorization-type partial orders are provided for comparing the extreme order statistics in the sense of various magnitude orderings including the likelihood ratio order, the reversed hazard rate order, the usual stochastic order, and the usual multivariate stochastic order. The results established here strengthen and extend those including Kochar and Xu (2007 Kochar, S.C., Xu, M. (2007). Stochastic comparisons of parallel systems when components have proportional hazard rates. Probab. Eng. Inf. Sci. 21:597–609.[Crossref], [Web of Science ®] , [Google Scholar]), Mao and Hu (2010 Mao, T., Hu, T. (2010). Equivalent characterizations on orderings of order statistics and sample ranges. Probab. Eng. Inf. Sci. 24:245–262.[Crossref], [Web of Science ®] , [Google Scholar]), Balakrishnan et al. (2014 Balakrishnan, N., Barmalzan, G., Haidari, A. (2014). On usual multivariate stochastic ordering of order statistics from heterogeneous beta variables. J. Multivariate Anal. 127:147–150.[Crossref], [Web of Science ®] , [Google Scholar]), and Torrado (2015 Torrado, N. (2015). On magnitude orderings between smallest order statistics from heterogeneous beta distributions. J. Math. Anal. Appl. 426:824–838.[Crossref], [Web of Science ®] , [Google Scholar]). A real application in system assembly and some numerical examples are also presented to illustrate the theoretical results.     

Improved estimation methods for unrelated question randomized response techniques

The randomized response technique (RRT) is an important tool, commonly used to avoid biased answers in survey on sensitive issues by preserving the respondents’ privacy. In this paper, we introduce a data collection method for survey on sensitive issues combining both the unrelated-question RRT and the direct question design. The direct questioning method is utilized to obtain responses to a non sensitive question that is related to the innocuous question from the unrelated-question RRT. These responses serve as additional information that can be used to improve the estimation of the prevalence of the sensitive behavior. Furthermore, we propose two new methods for the estimation of the proportion of respondents possessing the sensitive attribute under a missing data setup. More specifically, we develop the weighted estimator and the weighted conditional likelihood estimator. The performances of our estimators are studied numerically and compared with that of an existing one. Both proposed estimators are more efficient than the Greenberg's estimator. We illustrate our methods using real data from a survey study on illegal use of cable TV service in Taiwan.