Does a More Diversified Revenue Structure Lead to Greater Financial Capacity and Less Vulnerability in Nonprofit Organizations? A Bibliometric and Meta-Analysis

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This article explores how and to what extent revenue diversification and concentration strategies affect financial...     

Robust inference for estimating equations with nonignorably missing data based on SIR algorithm

Nonresponse is a very common phenomenon in survey sampling. Nonignorable nonresponse – that is, a response mechanism that depends on the values of the variable having nonresponse – is the most difficult type of nonresponse to handle. This article develops a robust estimation approach to estimating equations (EEs) by incorporating the modelling of nonignorably missing data, the generalized method of moments (GMM) method and the imputation of EEs via the observed data rather than the imputed missing values when some responses are subject to nonignorably missingness. Based on a particular semiparametric logistic model for nonignorable missing response, this paper proposes the modified EEs to calculate the conditional expectation under nonignorably missing data. We can apply the GMM to infer the parameters. The advantage of our method is that it replaces the non-parametric kernel-smoothing with a parametric sampling importance resampling (SIR) procedure to avoid nonparametric kernel-smoothing problems with high dimensional covariates. The proposed method is shown to be more robust than some current approaches by the simulations.     

Semiparametric regression of clustered current status data

This paper discusses regression analysis of clustered current status data under semiparametric additive hazards models. In particular, we consider the situation when cluster sizes can be informative about correlated failure times from the same cluster. To address the problem, we present estimating equation-based estimation procedures and establish asymptotic properties of the resulting estimates. Finite sample performance of the proposed method is assessed through an extensive simulation study, which indicates the procedure works well. The method is applied to a motivating data set from a lung tumorigenicity study.     

2015年吉尔吉斯斯坦议会选举及政党政治发展态势

2015年10月,吉尔吉斯斯坦如期举行的议会选举进一步检视了议会制政体的有效性,政党政治也朝着更加民主化的方向迈进,但由于选举制度、政党体制、宪政制度等多重因素相互交织,吉尔吉斯斯坦政党政治的"波动性"态势难以消弭。     

新常态视角下高校社会服务功能拓展研究

高校社会服务功能拓展是经济"新常态"背景下的应有之义和必然选择。强化高校社会服务的职能观,以社会需求为导向培养应用型人才,面向社会领域主动开展科学研究,构建高校科学研究转化机制,建立高校社会服务的激励与评价机制,是高校社会服务主动适应和服务"新常态"的重要举措。     

What Helped Nonprofits Weather the Great Recession?

This study examined the effectiveness of several financial strategies for nonprofit organizations in fighting the Great Recession. Using data from human services and community improvement organizations in the state of New Jersey, we tested hypotheses about the relationships between three measures of financial sustainability and various fundraising efforts and financial indicators. We found that (1) except for strong external funding relationships, funding efforts were generally not effective in enhancing financial sustainability during the crisis; (2) higher operating margin and equity ratio improved an organization's ability to generate revenue and maintain expense levels, but higher debt ratio and administrative cost ratio were generally harmful; and (3) revenue diversification might aggravate fiscal stress and cause more expense cuts in a severe crisis. These findings improve our understanding of the mechanics of nonprofit management during times of harsh fiscal conditions and suggest useful ways for nonprofit organizations to navigate future financial crises.     

Wiki-worthy: collective judgment of candidate notability

The use of socio-technical data to predict elections is a growing research area. We argue that election prediction research suffers from under-specified theoretical models that do not properly distinguish between ‘poll-like’ and ‘prediction market-like’ mechanisms understand findings. More specifically, we argue that, in systems with strong norms and reputational feedback mechanisms, individuals have market-like incentives to bias content creation toward candidates they expect will win. We provide evidence for the merits of this approach using the creation of Wikipedia pages for candidates in the 2010 US and UK national legislative elections. We find that Wikipedia editors are more likely to create Wikipedia pages for challengers who have a better chance of defeating their incumbent opponent and that the timing of these page creations coincides with periods when collective expectations for the candidate's success are relatively high.     

和谐与构建和谐社会

和谐历来是中国传统文化的主流思想.以"和"安邦、以"和"治国、以"和"齐家、以"和"平天下,乃中国先人从社会实践中总结出来的重要经验.胡锦涛同志提出构建社会主义和谐社会,就是强调创造性地运用中国传统文化来建设国家,按照和平、和睦、和合、和谐的精神办事,以加速推进全面建设小康社会.     

机械基础创新实验教学体系研究

机械基础系列课程在培养机械类专业学生工程实践能力和创新设计能力等方面起着十分重要的作用.文章讨论了机械基础创新实验教学体系的基本内容:创新实验教学思想观念、创新实验教学目标、创新实验教学内容、创新实验教学方法与手段、创新实验教学评价和创新实验教学管理等六个方面.旨在创建以创新实验教学思想为指导,以机械分析与综合为基础,以机构运动方案设计为主线,以提高机械类学生的分析能力、综合能力和创新设计能力为目标的实验教学新体系.     

论影响科技成果转化的非技术因素

科技已成为推进社会、经济发展的果转化中最为根本的影响因素.但随着经济、社会的发展,其他要素如风险投资、管理、知识产权、资金等对科技成果转化都会产生不同程度的影响.文章主要分析影响科技成果转化的非技术因素.